mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-24 16:42:05 +00:00
Merge branch 'master' of https://github.com/ClickHouse/ClickHouse into support-apple-m1
This commit is contained in:
changvvb
commit
1f8bd034a3
3
.gitmodules
vendored
3
.gitmodules
vendored
@ -221,3 +221,6 @@
|
||||
[submodule "contrib/NuRaft"]
|
||||
path = contrib/NuRaft
|
||||
url = https://github.com/ClickHouse-Extras/NuRaft.git
|
||||
[submodule "contrib/datasketches-cpp"]
|
||||
path = contrib/datasketches-cpp
|
||||
url = https://github.com/ClickHouse-Extras/datasketches-cpp.git
|
||||
|
||||
@ -26,7 +26,7 @@
|
||||
#### Experimental feature
|
||||
|
||||
* Add experimental `Replicated` database engine. It replicates DDL queries across multiple hosts. [#16193](https://github.com/ClickHouse/ClickHouse/pull/16193) ([tavplubix](https://github.com/tavplubix)).
|
||||
* Introduce experimental support for window functions, enabled with `allow_experimental_functions = 1`. This is a preliminary, alpha-quality implementation that is not suitable for production use and will change in backward-incompatible ways in future releases. Please see [the documentation](https://github.com/ClickHouse/ClickHouse/blob/master/docs/en/sql-reference/window-functions/index.md#experimental-window-functions) for the list of supported features. [#20337](https://github.com/ClickHouse/ClickHouse/pull/20337) ([Alexander Kuzmenkov](https://github.com/akuzm)).
|
||||
* Introduce experimental support for window functions, enabled with `allow_experimental_window_functions = 1`. This is a preliminary, alpha-quality implementation that is not suitable for production use and will change in backward-incompatible ways in future releases. Please see [the documentation](https://github.com/ClickHouse/ClickHouse/blob/master/docs/en/sql-reference/window-functions/index.md#experimental-window-functions) for the list of supported features. [#20337](https://github.com/ClickHouse/ClickHouse/pull/20337) ([Alexander Kuzmenkov](https://github.com/akuzm)).
|
||||
* Add the ability to backup/restore metadata files for DiskS3. [#18377](https://github.com/ClickHouse/ClickHouse/pull/18377) ([Pavel Kovalenko](https://github.com/Jokser)).
|
||||
|
||||
#### Performance Improvement
|
||||
|
||||
@ -39,6 +39,8 @@ else()
|
||||
set(RECONFIGURE_MESSAGE_LEVEL STATUS)
|
||||
endif()
|
||||
|
||||
enable_language(C CXX ASM)
|
||||
|
||||
include (cmake/arch.cmake)
|
||||
include (cmake/target.cmake)
|
||||
include (cmake/tools.cmake)
|
||||
@ -248,19 +250,27 @@ if (ARCH_NATIVE)
|
||||
set (COMPILER_FLAGS "${COMPILER_FLAGS} -march=native")
|
||||
endif ()
|
||||
|
||||
if (COMPILER_GCC OR COMPILER_CLANG)
|
||||
# to make numeric_limits<__int128> works with GCC
|
||||
set (_CXX_STANDARD "gnu++2a")
|
||||
else()
|
||||
set (_CXX_STANDARD "c++2a")
|
||||
endif()
|
||||
if (${CMAKE_VERSION} VERSION_LESS "3.12.4")
|
||||
# CMake < 3.12 doesn't support setting 20 as a C++ standard version.
|
||||
# We will add C++ standard controlling flag in CMAKE_CXX_FLAGS manually for now.
|
||||
|
||||
# cmake < 3.12 doesn't support 20. We'll set CMAKE_CXX_FLAGS for now
|
||||
# set (CMAKE_CXX_STANDARD 20)
|
||||
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=${_CXX_STANDARD}")
|
||||
if (COMPILER_GCC OR COMPILER_CLANG)
|
||||
# to make numeric_limits<__int128> works with GCC
|
||||
set (_CXX_STANDARD "gnu++2a")
|
||||
else ()
|
||||
set (_CXX_STANDARD "c++2a")
|
||||
endif ()
|
||||
|
||||
set (CMAKE_CXX_EXTENSIONS 0) # https://cmake.org/cmake/help/latest/prop_tgt/CXX_EXTENSIONS.html#prop_tgt:CXX_EXTENSIONS
|
||||
set (CMAKE_CXX_STANDARD_REQUIRED ON)
|
||||
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=${_CXX_STANDARD}")
|
||||
else ()
|
||||
set (CMAKE_CXX_STANDARD 20)
|
||||
set (CMAKE_CXX_EXTENSIONS ON) # Same as gnu++2a (ON) vs c++2a (OFF): https://cmake.org/cmake/help/latest/prop_tgt/CXX_EXTENSIONS.html
|
||||
set (CMAKE_CXX_STANDARD_REQUIRED ON)
|
||||
endif ()
|
||||
|
||||
set (CMAKE_C_STANDARD 11)
|
||||
set (CMAKE_C_EXTENSIONS ON)
|
||||
set (CMAKE_C_STANDARD_REQUIRED ON)
|
||||
|
||||
if (COMPILER_GCC OR COMPILER_CLANG)
|
||||
# Enable C++14 sized global deallocation functions. It should be enabled by setting -std=c++14 but I'm not sure.
|
||||
@ -454,6 +464,7 @@ find_contrib_lib(double-conversion) # Must be before parquet
|
||||
include (cmake/find/ssl.cmake)
|
||||
include (cmake/find/ldap.cmake) # after ssl
|
||||
include (cmake/find/icu.cmake)
|
||||
include (cmake/find/xz.cmake)
|
||||
include (cmake/find/zlib.cmake)
|
||||
include (cmake/find/zstd.cmake)
|
||||
include (cmake/find/ltdl.cmake) # for odbc
|
||||
@ -501,6 +512,7 @@ include (cmake/find/msgpack.cmake)
|
||||
include (cmake/find/cassandra.cmake)
|
||||
include (cmake/find/sentry.cmake)
|
||||
include (cmake/find/stats.cmake)
|
||||
include (cmake/find/datasketches.cmake)
|
||||
|
||||
set (USE_INTERNAL_CITYHASH_LIBRARY ON CACHE INTERNAL "")
|
||||
find_contrib_lib(cityhash)
|
||||
|
||||
@ -47,6 +47,10 @@ endif()
|
||||
|
||||
target_include_directories(common PUBLIC .. ${CMAKE_CURRENT_BINARY_DIR}/..)
|
||||
|
||||
if (OS_DARWIN AND NOT MAKE_STATIC_LIBRARIES)
|
||||
target_link_libraries(common PUBLIC -Wl,-U,_inside_main)
|
||||
endif()
|
||||
|
||||
# Allow explicit fallback to readline
|
||||
if (NOT ENABLE_REPLXX AND ENABLE_READLINE)
|
||||
message (STATUS "Attempt to fallback to readline explicitly")
|
||||
|
||||
@ -853,15 +853,43 @@ public:
|
||||
{
|
||||
if (hours == 1)
|
||||
return toStartOfHour(t);
|
||||
|
||||
/** We will round the hour number since the midnight.
|
||||
* It may split the day into non-equal intervals.
|
||||
* For example, if we will round to 11-hour interval,
|
||||
* the day will be split to the intervals 00:00:00..10:59:59, 11:00:00..21:59:59, 22:00:00..23:59:59.
|
||||
* In case of daylight saving time or other transitions,
|
||||
* the intervals can be shortened or prolonged to the amount of transition.
|
||||
*/
|
||||
|
||||
UInt64 seconds = hours * 3600;
|
||||
|
||||
t = roundDown(t, seconds);
|
||||
const LUTIndex index = findIndex(t);
|
||||
const Values & values = lut[index];
|
||||
|
||||
if (t >= 0 && offset_is_whole_number_of_hours_during_epoch)
|
||||
return t;
|
||||
time_t time = t - values.date;
|
||||
if (time >= values.time_at_offset_change())
|
||||
{
|
||||
/// Align to new hour numbers before rounding.
|
||||
time += values.amount_of_offset_change();
|
||||
time = time / seconds * seconds;
|
||||
|
||||
/// TODO check if it's correct.
|
||||
return toStartOfHour(t);
|
||||
/// Should subtract the shift back but only if rounded time is not before shift.
|
||||
if (time >= values.time_at_offset_change())
|
||||
{
|
||||
time -= values.amount_of_offset_change();
|
||||
|
||||
/// With cutoff at the time of the shift. Otherwise we may end up with something like 23:00 previous day.
|
||||
if (time < values.time_at_offset_change())
|
||||
time = values.time_at_offset_change();
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
time = time / seconds * seconds;
|
||||
}
|
||||
|
||||
return values.date + time;
|
||||
}
|
||||
|
||||
inline time_t toStartOfMinuteInterval(time_t t, UInt64 minutes) const
|
||||
@ -869,6 +897,14 @@ public:
|
||||
if (minutes == 1)
|
||||
return toStartOfMinute(t);
|
||||
|
||||
/** In contrast to "toStartOfHourInterval" function above,
|
||||
* the minute intervals are not aligned to the midnight.
|
||||
* You will get unexpected results if for example, you round down to 60 minute interval
|
||||
* and there was a time shift to 30 minutes.
|
||||
*
|
||||
* But this is not specified in docs and can be changed in future.
|
||||
*/
|
||||
|
||||
UInt64 seconds = 60 * minutes;
|
||||
return roundDown(t, seconds);
|
||||
}
|
||||
|
||||
@ -25,6 +25,12 @@ namespace common
|
||||
return x - y;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
inline auto NO_SANITIZE_UNDEFINED negateIgnoreOverflow(T x)
|
||||
{
|
||||
return -x;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
inline bool addOverflow(T x, T y, T & res)
|
||||
{
|
||||
|
||||
@ -1,45 +1,28 @@
|
||||
// https://stackoverflow.com/questions/1413445/reading-a-password-from-stdcin
|
||||
|
||||
#include <common/setTerminalEcho.h>
|
||||
#include <common/errnoToString.h>
|
||||
#include <stdexcept>
|
||||
#include <cstring>
|
||||
#include <string>
|
||||
|
||||
#ifdef WIN32
|
||||
#include <windows.h>
|
||||
#else
|
||||
#include <termios.h>
|
||||
#include <unistd.h>
|
||||
#include <errno.h>
|
||||
#endif
|
||||
|
||||
|
||||
void setTerminalEcho(bool enable)
|
||||
{
|
||||
#ifdef WIN32
|
||||
auto handle = GetStdHandle(STD_INPUT_HANDLE);
|
||||
DWORD mode;
|
||||
if (!GetConsoleMode(handle, &mode))
|
||||
throw std::runtime_error(std::string("setTerminalEcho failed get: ") + std::to_string(GetLastError()));
|
||||
/// Obtain terminal attributes,
|
||||
/// toggle the ECHO flag
|
||||
/// and set them back.
|
||||
|
||||
if (!enable)
|
||||
mode &= ~ENABLE_ECHO_INPUT;
|
||||
else
|
||||
mode |= ENABLE_ECHO_INPUT;
|
||||
struct termios tty{};
|
||||
|
||||
if (!SetConsoleMode(handle, mode))
|
||||
throw std::runtime_error(std::string("setTerminalEcho failed set: ") + std::to_string(GetLastError()));
|
||||
#else
|
||||
struct termios tty;
|
||||
if (tcgetattr(STDIN_FILENO, &tty))
|
||||
if (0 != tcgetattr(STDIN_FILENO, &tty))
|
||||
throw std::runtime_error(std::string("setTerminalEcho failed get: ") + errnoToString(errno));
|
||||
if (!enable)
|
||||
tty.c_lflag &= ~ECHO;
|
||||
else
|
||||
tty.c_lflag |= ECHO;
|
||||
|
||||
auto ret = tcsetattr(STDIN_FILENO, TCSANOW, &tty);
|
||||
if (ret)
|
||||
if (enable)
|
||||
tty.c_lflag |= ECHO;
|
||||
else
|
||||
tty.c_lflag &= ~ECHO;
|
||||
|
||||
if (0 != tcsetattr(STDIN_FILENO, TCSANOW, &tty))
|
||||
throw std::runtime_error(std::string("setTerminalEcho failed set: ") + errnoToString(errno));
|
||||
#endif
|
||||
}
|
||||
|
||||
@ -5,6 +5,11 @@ add_library (daemon
|
||||
)
|
||||
|
||||
target_include_directories (daemon PUBLIC ..)
|
||||
|
||||
if (OS_DARWIN AND NOT MAKE_STATIC_LIBRARIES)
|
||||
target_link_libraries (daemon PUBLIC -Wl,-undefined,dynamic_lookup)
|
||||
endif()
|
||||
|
||||
target_link_libraries (daemon PUBLIC loggers PRIVATE clickhouse_common_io clickhouse_common_config common ${EXECINFO_LIBRARIES})
|
||||
|
||||
if (USE_SENTRY)
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
# This strings autochanged from release_lib.sh:
|
||||
SET(VERSION_REVISION 54449)
|
||||
SET(VERSION_REVISION 54450)
|
||||
SET(VERSION_MAJOR 21)
|
||||
SET(VERSION_MINOR 4)
|
||||
SET(VERSION_MINOR 5)
|
||||
SET(VERSION_PATCH 1)
|
||||
SET(VERSION_GITHASH af2135ef9dc72f16fa4f229b731262c3f0a8bbdc)
|
||||
SET(VERSION_DESCRIBE v21.4.1.1-prestable)
|
||||
SET(VERSION_STRING 21.4.1.1)
|
||||
SET(VERSION_GITHASH 3827789b3d8fd2021952e57e5110343d26daa1a1)
|
||||
SET(VERSION_DESCRIBE v21.5.1.1-prestable)
|
||||
SET(VERSION_STRING 21.5.1.1)
|
||||
# end of autochange
|
||||
|
||||
@ -1,4 +1,8 @@
|
||||
option (ENABLE_BASE64 "Enable base64" ${ENABLE_LIBRARIES})
|
||||
if(ARCH_AMD64 OR ARCH_ARM)
|
||||
option (ENABLE_BASE64 "Enable base64" ${ENABLE_LIBRARIES})
|
||||
elseif(ENABLE_BASE64)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "base64 library is only supported on x86_64 and aarch64")
|
||||
endif()
|
||||
|
||||
if (NOT ENABLE_BASE64)
|
||||
return()
|
||||
|
||||
29
cmake/find/datasketches.cmake
Normal file
29
cmake/find/datasketches.cmake
Normal file
@ -0,0 +1,29 @@
|
||||
option (ENABLE_DATASKETCHES "Enable DataSketches" ${ENABLE_LIBRARIES})
|
||||
|
||||
if (ENABLE_DATASKETCHES)
|
||||
|
||||
option (USE_INTERNAL_DATASKETCHES_LIBRARY "Set to FALSE to use system DataSketches library instead of bundled" ${NOT_UNBUNDLED})
|
||||
|
||||
if (NOT EXISTS "${ClickHouse_SOURCE_DIR}/contrib/datasketches-cpp/theta/CMakeLists.txt")
|
||||
if (USE_INTERNAL_DATASKETCHES_LIBRARY)
|
||||
message(WARNING "submodule contrib/datasketches-cpp is missing. to fix try run: \n git submodule update --init --recursive")
|
||||
endif()
|
||||
set(MISSING_INTERNAL_DATASKETCHES_LIBRARY 1)
|
||||
set(USE_INTERNAL_DATASKETCHES_LIBRARY 0)
|
||||
endif()
|
||||
|
||||
if (USE_INTERNAL_DATASKETCHES_LIBRARY)
|
||||
set(DATASKETCHES_LIBRARY theta)
|
||||
set(DATASKETCHES_INCLUDE_DIR "${ClickHouse_SOURCE_DIR}/contrib/datasketches-cpp/common/include" "${ClickHouse_SOURCE_DIR}/contrib/datasketches-cpp/theta/include")
|
||||
elseif (NOT MISSING_INTERNAL_DATASKETCHES_LIBRARY)
|
||||
find_library(DATASKETCHES_LIBRARY theta)
|
||||
find_path(DATASKETCHES_INCLUDE_DIR NAMES theta_sketch.hpp PATHS ${DATASKETCHES_INCLUDE_PATHS})
|
||||
endif()
|
||||
|
||||
if (DATASKETCHES_LIBRARY AND DATASKETCHES_INCLUDE_DIR)
|
||||
set(USE_DATASKETCHES 1)
|
||||
endif()
|
||||
|
||||
endif()
|
||||
|
||||
message (STATUS "Using datasketches=${USE_DATASKETCHES}: ${DATASKETCHES_INCLUDE_DIR} : ${DATASKETCHES_LIBRARY}")
|
||||
@ -1,7 +1,7 @@
|
||||
if(NOT ARCH_ARM AND NOT OS_FREEBSD AND NOT OS_DARWIN)
|
||||
if(ARCH_AMD64 AND NOT OS_FREEBSD AND NOT OS_DARWIN)
|
||||
option(ENABLE_FASTOPS "Enable fast vectorized mathematical functions library by Mikhail Parakhin" ${ENABLE_LIBRARIES})
|
||||
elseif(ENABLE_FASTOPS)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Fastops library is not supported on ARM, FreeBSD and Darwin")
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Fastops library is supported on x86_64 only, and not FreeBSD or Darwin")
|
||||
endif()
|
||||
|
||||
if(NOT ENABLE_FASTOPS)
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
if(NOT ARCH_ARM AND NOT OS_FREEBSD AND NOT APPLE AND USE_PROTOBUF)
|
||||
if(NOT ARCH_ARM AND NOT OS_FREEBSD AND NOT APPLE AND USE_PROTOBUF AND NOT ARCH_PPC64LE)
|
||||
option(ENABLE_HDFS "Enable HDFS" ${ENABLE_LIBRARIES})
|
||||
elseif(ENABLE_HDFS OR USE_INTERNAL_HDFS3_LIBRARY)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Cannot use HDFS3 with current configuration")
|
||||
|
||||
@ -62,6 +62,7 @@ if (NOT OPENLDAP_FOUND AND NOT MISSING_INTERNAL_LDAP_LIBRARY)
|
||||
if (
|
||||
( "${_system_name}" STREQUAL "linux" AND "${_system_processor}" STREQUAL "x86_64" ) OR
|
||||
( "${_system_name}" STREQUAL "linux" AND "${_system_processor}" STREQUAL "aarch64" ) OR
|
||||
( "${_system_name}" STREQUAL "linux" AND "${_system_processor}" STREQUAL "ppc64le" ) OR
|
||||
( "${_system_name}" STREQUAL "freebsd" AND "${_system_processor}" STREQUAL "x86_64" ) OR
|
||||
( "${_system_name}" STREQUAL "darwin" AND "${_system_processor}" STREQUAL "x86_64" ) OR
|
||||
( "${_system_name}" STREQUAL "darwin" AND "${_system_processor}" STREQUAL "aarch64" )
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
if(NOT OS_FREEBSD AND NOT APPLE AND NOT ARCH_ARM)
|
||||
if(NOT OS_FREEBSD AND NOT APPLE)
|
||||
option(ENABLE_S3 "Enable S3" ${ENABLE_LIBRARIES})
|
||||
elseif(ENABLE_S3 OR USE_INTERNAL_AWS_S3_LIBRARY)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't use S3 on ARM, Apple or FreeBSD")
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't use S3 on Apple or FreeBSD")
|
||||
endif()
|
||||
|
||||
if(NOT ENABLE_S3)
|
||||
|
||||
27
cmake/find/xz.cmake
Normal file
27
cmake/find/xz.cmake
Normal file
@ -0,0 +1,27 @@
|
||||
option (USE_INTERNAL_XZ_LIBRARY "Set to OFF to use system xz (lzma) library instead of bundled" ${NOT_UNBUNDLED})
|
||||
|
||||
if(NOT EXISTS "${ClickHouse_SOURCE_DIR}/contrib/xz/src/liblzma/api/lzma.h")
|
||||
if(USE_INTERNAL_XZ_LIBRARY)
|
||||
message(WARNING "submodule contrib/xz is missing. to fix try run: \n git submodule update --init --recursive")
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't find internal xz (lzma) library")
|
||||
set(USE_INTERNAL_XZ_LIBRARY 0)
|
||||
endif()
|
||||
set(MISSING_INTERNAL_XZ_LIBRARY 1)
|
||||
endif()
|
||||
|
||||
if (NOT USE_INTERNAL_XZ_LIBRARY)
|
||||
find_library (XZ_LIBRARY lzma)
|
||||
find_path (XZ_INCLUDE_DIR NAMES lzma.h PATHS ${XZ_INCLUDE_PATHS})
|
||||
if (NOT XZ_LIBRARY OR NOT XZ_INCLUDE_DIR)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't find system xz (lzma) library")
|
||||
endif ()
|
||||
endif ()
|
||||
|
||||
if (XZ_LIBRARY AND XZ_INCLUDE_DIR)
|
||||
elseif (NOT MISSING_INTERNAL_XZ_LIBRARY)
|
||||
set (USE_INTERNAL_XZ_LIBRARY 1)
|
||||
set (XZ_LIBRARY liblzma)
|
||||
set (XZ_INCLUDE_DIR ${ClickHouse_SOURCE_DIR}/contrib/xz/src/liblzma/api)
|
||||
endif ()
|
||||
|
||||
message (STATUS "Using xz (lzma): ${XZ_INCLUDE_DIR} : ${XZ_LIBRARY}")
|
||||
@ -6,7 +6,7 @@ set (DEFAULT_LIBS "-nodefaultlibs")
|
||||
# We need builtins from Clang's RT even without libcxx - for ubsan+int128.
|
||||
# See https://bugs.llvm.org/show_bug.cgi?id=16404
|
||||
if (COMPILER_CLANG AND NOT (CMAKE_CROSSCOMPILING AND ARCH_AARCH64))
|
||||
execute_process (COMMAND ${CMAKE_CXX_COMPILER} --print-file-name=libclang_rt.builtins-${CMAKE_SYSTEM_PROCESSOR}.a OUTPUT_VARIABLE BUILTINS_LIBRARY OUTPUT_STRIP_TRAILING_WHITESPACE)
|
||||
execute_process (COMMAND ${CMAKE_CXX_COMPILER} --print-libgcc-file-name --rtlib=compiler-rt OUTPUT_VARIABLE BUILTINS_LIBRARY OUTPUT_STRIP_TRAILING_WHITESPACE)
|
||||
else ()
|
||||
set (BUILTINS_LIBRARY "-lgcc")
|
||||
endif ()
|
||||
|
||||
@ -86,8 +86,3 @@ if (LINKER_NAME)
|
||||
message(STATUS "Using custom linker by name: ${LINKER_NAME}")
|
||||
endif ()
|
||||
|
||||
if (ARCH_PPC64LE)
|
||||
if (COMPILER_CLANG OR (COMPILER_GCC AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 8))
|
||||
message(FATAL_ERROR "Only gcc-8 or higher is supported for powerpc architecture")
|
||||
endif ()
|
||||
endif ()
|
||||
|
||||
@ -11,11 +11,6 @@ if (NOT MSVC)
|
||||
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wextra")
|
||||
endif ()
|
||||
|
||||
if (USE_DEBUG_HELPERS)
|
||||
set (INCLUDE_DEBUG_HELPERS "-I${ClickHouse_SOURCE_DIR}/base -include ${ClickHouse_SOURCE_DIR}/src/Core/iostream_debug_helpers.h")
|
||||
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${INCLUDE_DEBUG_HELPERS}")
|
||||
endif ()
|
||||
|
||||
# Add some warnings that are not available even with -Wall -Wextra -Wpedantic.
|
||||
# Intended for exploration of new compiler warnings that may be found useful.
|
||||
# Applies to clang only
|
||||
|
||||
25
contrib/CMakeLists.txt
vendored
25
contrib/CMakeLists.txt
vendored
@ -215,15 +215,17 @@ if (USE_EMBEDDED_COMPILER AND USE_INTERNAL_LLVM_LIBRARY)
|
||||
set (LLVM_ENABLE_RTTI 1 CACHE INTERNAL "")
|
||||
set (LLVM_ENABLE_PIC 0 CACHE INTERNAL "")
|
||||
set (LLVM_TARGETS_TO_BUILD "X86;AArch64" CACHE STRING "")
|
||||
# Yes it is set globally, but this is not enough, since llvm will add -std=c++11 after default
|
||||
# And c++2a cannot be used, due to ambiguous operator !=
|
||||
if (COMPILER_GCC OR COMPILER_CLANG)
|
||||
set (_CXX_STANDARD "gnu++17")
|
||||
else()
|
||||
set (_CXX_STANDARD "c++17")
|
||||
endif()
|
||||
set (LLVM_CXX_STD ${_CXX_STANDARD} CACHE STRING "" FORCE)
|
||||
|
||||
# Need to use C++17 since the compilation is not possible with C++20 currently, due to ambiguous operator != etc.
|
||||
# LLVM project will set its default value for the -std=... but our global setting from CMake will override it.
|
||||
set (CMAKE_CXX_STANDARD_bak ${CMAKE_CXX_STANDARD})
|
||||
set (CMAKE_CXX_STANDARD 17)
|
||||
|
||||
add_subdirectory (llvm/llvm)
|
||||
|
||||
set (CMAKE_CXX_STANDARD ${CMAKE_CXX_STANDARD_bak})
|
||||
unset (CMAKE_CXX_STANDARD_bak)
|
||||
|
||||
target_include_directories(LLVMSupport SYSTEM BEFORE PRIVATE ${ZLIB_INCLUDE_DIR})
|
||||
endif ()
|
||||
|
||||
@ -280,7 +282,14 @@ if (USE_AMQPCPP)
|
||||
add_subdirectory (amqpcpp-cmake)
|
||||
endif()
|
||||
if (USE_CASSANDRA)
|
||||
# Need to use C++17 since the compilation is not possible with C++20 currently.
|
||||
set (CMAKE_CXX_STANDARD_bak ${CMAKE_CXX_STANDARD})
|
||||
set (CMAKE_CXX_STANDARD 17)
|
||||
|
||||
add_subdirectory (cassandra)
|
||||
|
||||
set (CMAKE_CXX_STANDARD ${CMAKE_CXX_STANDARD_bak})
|
||||
unset (CMAKE_CXX_STANDARD_bak)
|
||||
endif()
|
||||
|
||||
# Should go before:
|
||||
|
||||
2
contrib/NuRaft
vendored
2
contrib/NuRaft
vendored
@ -1 +1 @@
|
||||
Subproject commit 3d3683e77753cfe015a05fae95ddf418e19f59e1
|
||||
Subproject commit 241fd3754a1eb4d82ab68a9a875dc99391ec9f02
|
||||
2
contrib/arrow
vendored
2
contrib/arrow
vendored
@ -1 +1 @@
|
||||
Subproject commit 744bdfe188f018e5e05f5deebd4e9ee0a7706cf4
|
||||
Subproject commit 616b3dc76a0c8450b4027ded8a78e9619d7c845f
|
||||
@ -160,6 +160,12 @@ if (NOT EXTERNAL_BOOST_FOUND)
|
||||
enable_language(ASM)
|
||||
SET(ASM_OPTIONS "-x assembler-with-cpp")
|
||||
|
||||
set (SRCS_CONTEXT
|
||||
${LIBRARY_DIR}/libs/context/src/dummy.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/execution_context.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/posix/stack_traits.cpp
|
||||
)
|
||||
|
||||
if (SANITIZE AND (SANITIZE STREQUAL "address" OR SANITIZE STREQUAL "thread"))
|
||||
add_compile_definitions(BOOST_USE_UCONTEXT)
|
||||
|
||||
@ -169,39 +175,34 @@ if (NOT EXTERNAL_BOOST_FOUND)
|
||||
add_compile_definitions(BOOST_USE_TSAN)
|
||||
endif()
|
||||
|
||||
set (SRCS_CONTEXT
|
||||
set (SRCS_CONTEXT ${SRCS_CONTEXT}
|
||||
${LIBRARY_DIR}/libs/context/src/fiber.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/continuation.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/dummy.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/execution_context.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/posix/stack_traits.cpp
|
||||
)
|
||||
elseif (ARCH_ARM)
|
||||
set (SRCS_CONTEXT
|
||||
endif()
|
||||
if (ARCH_ARM)
|
||||
set (SRCS_CONTEXT ${SRCS_CONTEXT}
|
||||
${LIBRARY_DIR}/libs/context/src/asm/jump_arm64_aapcs_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/make_arm64_aapcs_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/ontop_arm64_aapcs_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/dummy.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/execution_context.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/posix/stack_traits.cpp
|
||||
)
|
||||
elseif (ARCH_PPC64LE)
|
||||
set (SRCS_CONTEXT ${SRCS_CONTEXT}
|
||||
${LIBRARY_DIR}/libs/context/src/asm/jump_ppc64_sysv_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/make_ppc64_sysv_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/ontop_ppc64_sysv_elf_gas.S
|
||||
)
|
||||
elseif(OS_DARWIN)
|
||||
set (SRCS_CONTEXT
|
||||
set (SRCS_CONTEXT ${SRCS_CONTEXT}
|
||||
${LIBRARY_DIR}/libs/context/src/asm/jump_x86_64_sysv_macho_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/make_x86_64_sysv_macho_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/ontop_x86_64_sysv_macho_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/dummy.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/execution_context.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/posix/stack_traits.cpp
|
||||
)
|
||||
else()
|
||||
set (SRCS_CONTEXT
|
||||
set (SRCS_CONTEXT ${SRCS_CONTEXT}
|
||||
${LIBRARY_DIR}/libs/context/src/asm/jump_x86_64_sysv_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/make_x86_64_sysv_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/asm/ontop_x86_64_sysv_elf_gas.S
|
||||
${LIBRARY_DIR}/libs/context/src/dummy.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/execution_context.cpp
|
||||
${LIBRARY_DIR}/libs/context/src/posix/stack_traits.cpp
|
||||
)
|
||||
endif()
|
||||
|
||||
|
||||
@ -97,12 +97,19 @@ if (NOT EXTERNAL_CCTZ_LIBRARY_FOUND OR NOT EXTERNAL_CCTZ_LIBRARY_WORKS)
|
||||
set(TZ_OBJS ${TZ_OBJS} ${TZ_OBJ})
|
||||
|
||||
# https://stackoverflow.com/questions/14776463/compile-and-add-an-object-file-from-a-binary-with-cmake
|
||||
add_custom_command(OUTPUT ${TZ_OBJ}
|
||||
COMMAND cp ${TZDIR}/${TIMEZONE} ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID}
|
||||
COMMAND cd ${CMAKE_CURRENT_BINARY_DIR} && ${OBJCOPY_PATH} -I binary ${OBJCOPY_ARCH_OPTIONS}
|
||||
# PPC64LE fails to do this with objcopy, use ld or lld instead
|
||||
if (ARCH_PPC64LE)
|
||||
add_custom_command(OUTPUT ${TZ_OBJ}
|
||||
COMMAND cp ${TZDIR}/${TIMEZONE} ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID}
|
||||
COMMAND cd ${CMAKE_CURRENT_BINARY_DIR} && ${CMAKE_LINKER} -m elf64lppc -r -b binary -o ${TZ_OBJ} ${TIMEZONE_ID}
|
||||
COMMAND rm ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID})
|
||||
else()
|
||||
add_custom_command(OUTPUT ${TZ_OBJ}
|
||||
COMMAND cp ${TZDIR}/${TIMEZONE} ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID}
|
||||
COMMAND cd ${CMAKE_CURRENT_BINARY_DIR} && ${OBJCOPY_PATH} -I binary ${OBJCOPY_ARCH_OPTIONS}
|
||||
--rename-section .data=.rodata,alloc,load,readonly,data,contents ${TIMEZONE_ID} ${TZ_OBJ}
|
||||
COMMAND rm ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID})
|
||||
|
||||
COMMAND rm ${CMAKE_CURRENT_BINARY_DIR}/${TIMEZONE_ID})
|
||||
endif()
|
||||
set_source_files_properties(${TZ_OBJ} PROPERTIES EXTERNAL_OBJECT true GENERATED true)
|
||||
endforeach(TIMEZONE)
|
||||
|
||||
|
||||
1
contrib/datasketches-cpp
vendored
Submodule
1
contrib/datasketches-cpp
vendored
Submodule
@ -0,0 +1 @@
|
||||
Subproject commit f915d35b2de676683493c86c585141a1e1c83334
|
||||
2
contrib/grpc
vendored
2
contrib/grpc
vendored
@ -1 +1 @@
|
||||
Subproject commit 7436366ceb341ba5c00ea29f1645e02a2b70bf93
|
||||
Subproject commit 8d558f03fe370240081424fafa76cdc9301ea14b
|
||||
@ -1,7 +1,7 @@
|
||||
if (SANITIZE OR NOT (ARCH_AMD64 OR ARCH_ARM) OR NOT (OS_LINUX OR OS_FREEBSD OR OS_DARWIN))
|
||||
if (SANITIZE OR NOT (ARCH_AMD64 OR ARCH_ARM OR ARCH_PPC64LE) OR NOT (OS_LINUX OR OS_FREEBSD OR OS_DARWIN))
|
||||
if (ENABLE_JEMALLOC)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL}
|
||||
"jemalloc is disabled implicitly: it doesn't work with sanitizers and can only be used with x86_64 or aarch64 on linux or freebsd.")
|
||||
"jemalloc is disabled implicitly: it doesn't work with sanitizers and can only be used with x86_64, aarch64 or ppc64le on linux or freebsd.")
|
||||
endif()
|
||||
set (ENABLE_JEMALLOC OFF)
|
||||
else()
|
||||
@ -107,6 +107,8 @@ if (ARCH_AMD64)
|
||||
set(JEMALLOC_INCLUDE_PREFIX "${JEMALLOC_INCLUDE_PREFIX}_x86_64")
|
||||
elseif (ARCH_ARM)
|
||||
set(JEMALLOC_INCLUDE_PREFIX "${JEMALLOC_INCLUDE_PREFIX}_aarch64")
|
||||
elseif (ARCH_PPC64LE)
|
||||
set(JEMALLOC_INCLUDE_PREFIX "${JEMALLOC_INCLUDE_PREFIX}_ppc64le")
|
||||
else ()
|
||||
message (FATAL_ERROR "internal jemalloc: This arch is not supported")
|
||||
endif ()
|
||||
|
||||
@ -0,0 +1,367 @@
|
||||
/* include/jemalloc/internal/jemalloc_internal_defs.h. Generated from jemalloc_internal_defs.h.in by configure. */
|
||||
#ifndef JEMALLOC_INTERNAL_DEFS_H_
|
||||
#define JEMALLOC_INTERNAL_DEFS_H_
|
||||
/*
|
||||
* If JEMALLOC_PREFIX is defined via --with-jemalloc-prefix, it will cause all
|
||||
* public APIs to be prefixed. This makes it possible, with some care, to use
|
||||
* multiple allocators simultaneously.
|
||||
*/
|
||||
/* #undef JEMALLOC_PREFIX */
|
||||
/* #undef JEMALLOC_CPREFIX */
|
||||
|
||||
/*
|
||||
* Define overrides for non-standard allocator-related functions if they are
|
||||
* present on the system.
|
||||
*/
|
||||
#define JEMALLOC_OVERRIDE___LIBC_CALLOC
|
||||
#define JEMALLOC_OVERRIDE___LIBC_FREE
|
||||
#define JEMALLOC_OVERRIDE___LIBC_MALLOC
|
||||
#define JEMALLOC_OVERRIDE___LIBC_MEMALIGN
|
||||
#define JEMALLOC_OVERRIDE___LIBC_REALLOC
|
||||
#define JEMALLOC_OVERRIDE___LIBC_VALLOC
|
||||
/* #undef JEMALLOC_OVERRIDE___POSIX_MEMALIGN */
|
||||
|
||||
/*
|
||||
* JEMALLOC_PRIVATE_NAMESPACE is used as a prefix for all library-private APIs.
|
||||
* For shared libraries, symbol visibility mechanisms prevent these symbols
|
||||
* from being exported, but for static libraries, naming collisions are a real
|
||||
* possibility.
|
||||
*/
|
||||
#define JEMALLOC_PRIVATE_NAMESPACE je_
|
||||
|
||||
/*
|
||||
* Hyper-threaded CPUs may need a special instruction inside spin loops in
|
||||
* order to yield to another virtual CPU.
|
||||
*/
|
||||
#define CPU_SPINWAIT
|
||||
/* 1 if CPU_SPINWAIT is defined, 0 otherwise. */
|
||||
#define HAVE_CPU_SPINWAIT 0
|
||||
|
||||
/*
|
||||
* Number of significant bits in virtual addresses. This may be less than the
|
||||
* total number of bits in a pointer, e.g. on x64, for which the uppermost 16
|
||||
* bits are the same as bit 47.
|
||||
*/
|
||||
#define LG_VADDR 64
|
||||
|
||||
/* Defined if C11 atomics are available. */
|
||||
#define JEMALLOC_C11_ATOMICS 1
|
||||
|
||||
/* Defined if GCC __atomic atomics are available. */
|
||||
#define JEMALLOC_GCC_ATOMIC_ATOMICS 1
|
||||
/* and the 8-bit variant support. */
|
||||
#define JEMALLOC_GCC_U8_ATOMIC_ATOMICS 1
|
||||
|
||||
/* Defined if GCC __sync atomics are available. */
|
||||
#define JEMALLOC_GCC_SYNC_ATOMICS 1
|
||||
/* and the 8-bit variant support. */
|
||||
#define JEMALLOC_GCC_U8_SYNC_ATOMICS 1
|
||||
|
||||
/*
|
||||
* Defined if __builtin_clz() and __builtin_clzl() are available.
|
||||
*/
|
||||
#define JEMALLOC_HAVE_BUILTIN_CLZ
|
||||
|
||||
/*
|
||||
* Defined if os_unfair_lock_*() functions are available, as provided by Darwin.
|
||||
*/
|
||||
/* #undef JEMALLOC_OS_UNFAIR_LOCK */
|
||||
|
||||
/* Defined if syscall(2) is usable. */
|
||||
#define JEMALLOC_USE_SYSCALL
|
||||
|
||||
/*
|
||||
* Defined if secure_getenv(3) is available.
|
||||
*/
|
||||
// #define JEMALLOC_HAVE_SECURE_GETENV
|
||||
|
||||
/*
|
||||
* Defined if issetugid(2) is available.
|
||||
*/
|
||||
/* #undef JEMALLOC_HAVE_ISSETUGID */
|
||||
|
||||
/* Defined if pthread_atfork(3) is available. */
|
||||
#define JEMALLOC_HAVE_PTHREAD_ATFORK
|
||||
|
||||
/* Defined if pthread_setname_np(3) is available. */
|
||||
#define JEMALLOC_HAVE_PTHREAD_SETNAME_NP
|
||||
|
||||
/*
|
||||
* Defined if clock_gettime(CLOCK_MONOTONIC_COARSE, ...) is available.
|
||||
*/
|
||||
#define JEMALLOC_HAVE_CLOCK_MONOTONIC_COARSE 1
|
||||
|
||||
/*
|
||||
* Defined if clock_gettime(CLOCK_MONOTONIC, ...) is available.
|
||||
*/
|
||||
#define JEMALLOC_HAVE_CLOCK_MONOTONIC 1
|
||||
|
||||
/*
|
||||
* Defined if mach_absolute_time() is available.
|
||||
*/
|
||||
/* #undef JEMALLOC_HAVE_MACH_ABSOLUTE_TIME */
|
||||
|
||||
/*
|
||||
* Defined if _malloc_thread_cleanup() exists. At least in the case of
|
||||
* FreeBSD, pthread_key_create() allocates, which if used during malloc
|
||||
* bootstrapping will cause recursion into the pthreads library. Therefore, if
|
||||
* _malloc_thread_cleanup() exists, use it as the basis for thread cleanup in
|
||||
* malloc_tsd.
|
||||
*/
|
||||
/* #undef JEMALLOC_MALLOC_THREAD_CLEANUP */
|
||||
|
||||
/*
|
||||
* Defined if threaded initialization is known to be safe on this platform.
|
||||
* Among other things, it must be possible to initialize a mutex without
|
||||
* triggering allocation in order for threaded allocation to be safe.
|
||||
*/
|
||||
#define JEMALLOC_THREADED_INIT
|
||||
|
||||
/*
|
||||
* Defined if the pthreads implementation defines
|
||||
* _pthread_mutex_init_calloc_cb(), in which case the function is used in order
|
||||
* to avoid recursive allocation during mutex initialization.
|
||||
*/
|
||||
/* #undef JEMALLOC_MUTEX_INIT_CB */
|
||||
|
||||
/* Non-empty if the tls_model attribute is supported. */
|
||||
#define JEMALLOC_TLS_MODEL __attribute__((tls_model("initial-exec")))
|
||||
|
||||
/*
|
||||
* JEMALLOC_DEBUG enables assertions and other sanity checks, and disables
|
||||
* inline functions.
|
||||
*/
|
||||
/* #undef JEMALLOC_DEBUG */
|
||||
|
||||
/* JEMALLOC_STATS enables statistics calculation. */
|
||||
#define JEMALLOC_STATS
|
||||
|
||||
/* JEMALLOC_EXPERIMENTAL_SMALLOCX_API enables experimental smallocx API. */
|
||||
/* #undef JEMALLOC_EXPERIMENTAL_SMALLOCX_API */
|
||||
|
||||
/* JEMALLOC_PROF enables allocation profiling. */
|
||||
/* #undef JEMALLOC_PROF */
|
||||
|
||||
/* Use libunwind for profile backtracing if defined. */
|
||||
/* #undef JEMALLOC_PROF_LIBUNWIND */
|
||||
|
||||
/* Use libgcc for profile backtracing if defined. */
|
||||
/* #undef JEMALLOC_PROF_LIBGCC */
|
||||
|
||||
/* Use gcc intrinsics for profile backtracing if defined. */
|
||||
/* #undef JEMALLOC_PROF_GCC */
|
||||
|
||||
/*
|
||||
* JEMALLOC_DSS enables use of sbrk(2) to allocate extents from the data storage
|
||||
* segment (DSS).
|
||||
*/
|
||||
#define JEMALLOC_DSS
|
||||
|
||||
/* Support memory filling (junk/zero). */
|
||||
#define JEMALLOC_FILL
|
||||
|
||||
/* Support utrace(2)-based tracing. */
|
||||
/* #undef JEMALLOC_UTRACE */
|
||||
|
||||
/* Support optional abort() on OOM. */
|
||||
/* #undef JEMALLOC_XMALLOC */
|
||||
|
||||
/* Support lazy locking (avoid locking unless a second thread is launched). */
|
||||
/* #undef JEMALLOC_LAZY_LOCK */
|
||||
|
||||
/*
|
||||
* Minimum allocation alignment is 2^LG_QUANTUM bytes (ignoring tiny size
|
||||
* classes).
|
||||
*/
|
||||
/* #undef LG_QUANTUM */
|
||||
|
||||
/* One page is 2^LG_PAGE bytes. */
|
||||
#define LG_PAGE 16
|
||||
|
||||
/*
|
||||
* One huge page is 2^LG_HUGEPAGE bytes. Note that this is defined even if the
|
||||
* system does not explicitly support huge pages; system calls that require
|
||||
* explicit huge page support are separately configured.
|
||||
*/
|
||||
#define LG_HUGEPAGE 21
|
||||
|
||||
/*
|
||||
* If defined, adjacent virtual memory mappings with identical attributes
|
||||
* automatically coalesce, and they fragment when changes are made to subranges.
|
||||
* This is the normal order of things for mmap()/munmap(), but on Windows
|
||||
* VirtualAlloc()/VirtualFree() operations must be precisely matched, i.e.
|
||||
* mappings do *not* coalesce/fragment.
|
||||
*/
|
||||
#define JEMALLOC_MAPS_COALESCE
|
||||
|
||||
/*
|
||||
* If defined, retain memory for later reuse by default rather than using e.g.
|
||||
* munmap() to unmap freed extents. This is enabled on 64-bit Linux because
|
||||
* common sequences of mmap()/munmap() calls will cause virtual memory map
|
||||
* holes.
|
||||
*/
|
||||
#define JEMALLOC_RETAIN
|
||||
|
||||
/* TLS is used to map arenas and magazine caches to threads. */
|
||||
#define JEMALLOC_TLS
|
||||
|
||||
/*
|
||||
* Used to mark unreachable code to quiet "end of non-void" compiler warnings.
|
||||
* Don't use this directly; instead use unreachable() from util.h
|
||||
*/
|
||||
#define JEMALLOC_INTERNAL_UNREACHABLE __builtin_unreachable
|
||||
|
||||
/*
|
||||
* ffs*() functions to use for bitmapping. Don't use these directly; instead,
|
||||
* use ffs_*() from util.h.
|
||||
*/
|
||||
#define JEMALLOC_INTERNAL_FFSLL __builtin_ffsll
|
||||
#define JEMALLOC_INTERNAL_FFSL __builtin_ffsl
|
||||
#define JEMALLOC_INTERNAL_FFS __builtin_ffs
|
||||
|
||||
/*
|
||||
* popcount*() functions to use for bitmapping.
|
||||
*/
|
||||
#define JEMALLOC_INTERNAL_POPCOUNTL __builtin_popcountl
|
||||
#define JEMALLOC_INTERNAL_POPCOUNT __builtin_popcount
|
||||
|
||||
/*
|
||||
* If defined, explicitly attempt to more uniformly distribute large allocation
|
||||
* pointer alignments across all cache indices.
|
||||
*/
|
||||
#define JEMALLOC_CACHE_OBLIVIOUS
|
||||
|
||||
/*
|
||||
* If defined, enable logging facilities. We make this a configure option to
|
||||
* avoid taking extra branches everywhere.
|
||||
*/
|
||||
/* #undef JEMALLOC_LOG */
|
||||
|
||||
/*
|
||||
* If defined, use readlinkat() (instead of readlink()) to follow
|
||||
* /etc/malloc_conf.
|
||||
*/
|
||||
/* #undef JEMALLOC_READLINKAT */
|
||||
|
||||
/*
|
||||
* Darwin (OS X) uses zones to work around Mach-O symbol override shortcomings.
|
||||
*/
|
||||
/* #undef JEMALLOC_ZONE */
|
||||
|
||||
/*
|
||||
* Methods for determining whether the OS overcommits.
|
||||
* JEMALLOC_PROC_SYS_VM_OVERCOMMIT_MEMORY: Linux's
|
||||
* /proc/sys/vm.overcommit_memory file.
|
||||
* JEMALLOC_SYSCTL_VM_OVERCOMMIT: FreeBSD's vm.overcommit sysctl.
|
||||
*/
|
||||
/* #undef JEMALLOC_SYSCTL_VM_OVERCOMMIT */
|
||||
#define JEMALLOC_PROC_SYS_VM_OVERCOMMIT_MEMORY
|
||||
|
||||
/* Defined if madvise(2) is available. */
|
||||
#define JEMALLOC_HAVE_MADVISE
|
||||
|
||||
/*
|
||||
* Defined if transparent huge pages are supported via the MADV_[NO]HUGEPAGE
|
||||
* arguments to madvise(2).
|
||||
*/
|
||||
#define JEMALLOC_HAVE_MADVISE_HUGE
|
||||
|
||||
/*
|
||||
* Methods for purging unused pages differ between operating systems.
|
||||
*
|
||||
* madvise(..., MADV_FREE) : This marks pages as being unused, such that they
|
||||
* will be discarded rather than swapped out.
|
||||
* madvise(..., MADV_DONTNEED) : If JEMALLOC_PURGE_MADVISE_DONTNEED_ZEROS is
|
||||
* defined, this immediately discards pages,
|
||||
* such that new pages will be demand-zeroed if
|
||||
* the address region is later touched;
|
||||
* otherwise this behaves similarly to
|
||||
* MADV_FREE, though typically with higher
|
||||
* system overhead.
|
||||
*/
|
||||
#define JEMALLOC_PURGE_MADVISE_FREE
|
||||
#define JEMALLOC_PURGE_MADVISE_DONTNEED
|
||||
#define JEMALLOC_PURGE_MADVISE_DONTNEED_ZEROS
|
||||
|
||||
/* Defined if madvise(2) is available but MADV_FREE is not (x86 Linux only). */
|
||||
/* #undef JEMALLOC_DEFINE_MADVISE_FREE */
|
||||
|
||||
/*
|
||||
* Defined if MADV_DO[NT]DUMP is supported as an argument to madvise.
|
||||
*/
|
||||
#define JEMALLOC_MADVISE_DONTDUMP
|
||||
|
||||
/*
|
||||
* Defined if transparent huge pages (THPs) are supported via the
|
||||
* MADV_[NO]HUGEPAGE arguments to madvise(2), and THP support is enabled.
|
||||
*/
|
||||
/* #undef JEMALLOC_THP */
|
||||
|
||||
/* Define if operating system has alloca.h header. */
|
||||
#define JEMALLOC_HAS_ALLOCA_H 1
|
||||
|
||||
/* C99 restrict keyword supported. */
|
||||
#define JEMALLOC_HAS_RESTRICT 1
|
||||
|
||||
/* For use by hash code. */
|
||||
/* #undef JEMALLOC_BIG_ENDIAN */
|
||||
|
||||
/* sizeof(int) == 2^LG_SIZEOF_INT. */
|
||||
#define LG_SIZEOF_INT 2
|
||||
|
||||
/* sizeof(long) == 2^LG_SIZEOF_LONG. */
|
||||
#define LG_SIZEOF_LONG 3
|
||||
|
||||
/* sizeof(long long) == 2^LG_SIZEOF_LONG_LONG. */
|
||||
#define LG_SIZEOF_LONG_LONG 3
|
||||
|
||||
/* sizeof(intmax_t) == 2^LG_SIZEOF_INTMAX_T. */
|
||||
#define LG_SIZEOF_INTMAX_T 3
|
||||
|
||||
/* glibc malloc hooks (__malloc_hook, __realloc_hook, __free_hook). */
|
||||
#define JEMALLOC_GLIBC_MALLOC_HOOK
|
||||
|
||||
/* glibc memalign hook. */
|
||||
#define JEMALLOC_GLIBC_MEMALIGN_HOOK
|
||||
|
||||
/* pthread support */
|
||||
#define JEMALLOC_HAVE_PTHREAD
|
||||
|
||||
/* dlsym() support */
|
||||
#define JEMALLOC_HAVE_DLSYM
|
||||
|
||||
/* Adaptive mutex support in pthreads. */
|
||||
#define JEMALLOC_HAVE_PTHREAD_MUTEX_ADAPTIVE_NP
|
||||
|
||||
/* GNU specific sched_getcpu support */
|
||||
#define JEMALLOC_HAVE_SCHED_GETCPU
|
||||
|
||||
/* GNU specific sched_setaffinity support */
|
||||
#define JEMALLOC_HAVE_SCHED_SETAFFINITY
|
||||
|
||||
/*
|
||||
* If defined, all the features necessary for background threads are present.
|
||||
*/
|
||||
#define JEMALLOC_BACKGROUND_THREAD 1
|
||||
|
||||
/*
|
||||
* If defined, jemalloc symbols are not exported (doesn't work when
|
||||
* JEMALLOC_PREFIX is not defined).
|
||||
*/
|
||||
/* #undef JEMALLOC_EXPORT */
|
||||
|
||||
/* config.malloc_conf options string. */
|
||||
#define JEMALLOC_CONFIG_MALLOC_CONF "@JEMALLOC_CONFIG_MALLOC_CONF@"
|
||||
|
||||
/* If defined, jemalloc takes the malloc/free/etc. symbol names. */
|
||||
#define JEMALLOC_IS_MALLOC 1
|
||||
|
||||
/*
|
||||
* Defined if strerror_r returns char * if _GNU_SOURCE is defined.
|
||||
*/
|
||||
#define JEMALLOC_STRERROR_R_RETURNS_CHAR_WITH_GNU_SOURCE
|
||||
|
||||
/* Performs additional safety checks when defined. */
|
||||
/* #undef JEMALLOC_OPT_SAFETY_CHECKS */
|
||||
|
||||
#endif /* JEMALLOC_INTERNAL_DEFS_H_ */
|
||||
@ -1,11 +1,9 @@
|
||||
if (NOT ARCH_ARM)
|
||||
if(ARCH_AMD64)
|
||||
option (ENABLE_CPUID "Enable libcpuid library (only internal)" ${ENABLE_LIBRARIES})
|
||||
endif()
|
||||
|
||||
if (ARCH_ARM AND ENABLE_CPUID)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "cpuid is not supported on ARM")
|
||||
elseif(ENABLE_CPUID)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "libcpuid is only supported on x86_64")
|
||||
set (ENABLE_CPUID 0)
|
||||
endif ()
|
||||
endif()
|
||||
|
||||
if (NOT ENABLE_CPUID)
|
||||
add_library (cpuid INTERFACE)
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
63
contrib/openldap-cmake/linux_ppc64le/include/lber_types.h
Normal file
63
contrib/openldap-cmake/linux_ppc64le/include/lber_types.h
Normal file
@ -0,0 +1,63 @@
|
||||
/* include/lber_types.h. Generated from lber_types.hin by configure. */
|
||||
/* $OpenLDAP$ */
|
||||
/* This work is part of OpenLDAP Software <http://www.openldap.org/>.
|
||||
*
|
||||
* Copyright 1998-2020 The OpenLDAP Foundation.
|
||||
* All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted only as authorized by the OpenLDAP
|
||||
* Public License.
|
||||
*
|
||||
* A copy of this license is available in file LICENSE in the
|
||||
* top-level directory of the distribution or, alternatively, at
|
||||
* <http://www.OpenLDAP.org/license.html>.
|
||||
*/
|
||||
|
||||
/*
|
||||
* LBER types
|
||||
*/
|
||||
|
||||
#ifndef _LBER_TYPES_H
|
||||
#define _LBER_TYPES_H
|
||||
|
||||
#include <ldap_cdefs.h>
|
||||
|
||||
LDAP_BEGIN_DECL
|
||||
|
||||
/* LBER boolean, enum, integers (32 bits or larger) */
|
||||
#define LBER_INT_T int
|
||||
|
||||
/* LBER tags (32 bits or larger) */
|
||||
#define LBER_TAG_T long
|
||||
|
||||
/* LBER socket descriptor */
|
||||
#define LBER_SOCKET_T int
|
||||
|
||||
/* LBER lengths (32 bits or larger) */
|
||||
#define LBER_LEN_T long
|
||||
|
||||
/* ------------------------------------------------------------ */
|
||||
|
||||
/* booleans, enumerations, and integers */
|
||||
typedef LBER_INT_T ber_int_t;
|
||||
|
||||
/* signed and unsigned versions */
|
||||
typedef signed LBER_INT_T ber_sint_t;
|
||||
typedef unsigned LBER_INT_T ber_uint_t;
|
||||
|
||||
/* tags */
|
||||
typedef unsigned LBER_TAG_T ber_tag_t;
|
||||
|
||||
/* "socket" descriptors */
|
||||
typedef LBER_SOCKET_T ber_socket_t;
|
||||
|
||||
/* lengths */
|
||||
typedef unsigned LBER_LEN_T ber_len_t;
|
||||
|
||||
/* signed lengths */
|
||||
typedef signed LBER_LEN_T ber_slen_t;
|
||||
|
||||
LDAP_END_DECL
|
||||
|
||||
#endif /* _LBER_TYPES_H */
|
||||
74
contrib/openldap-cmake/linux_ppc64le/include/ldap_config.h
Normal file
74
contrib/openldap-cmake/linux_ppc64le/include/ldap_config.h
Normal file
@ -0,0 +1,74 @@
|
||||
/* include/ldap_config.h. Generated from ldap_config.hin by configure. */
|
||||
/* $OpenLDAP$ */
|
||||
/* This work is part of OpenLDAP Software <http://www.openldap.org/>.
|
||||
*
|
||||
* Copyright 1998-2020 The OpenLDAP Foundation.
|
||||
* All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted only as authorized by the OpenLDAP
|
||||
* Public License.
|
||||
*
|
||||
* A copy of this license is available in file LICENSE in the
|
||||
* top-level directory of the distribution or, alternatively, at
|
||||
* <http://www.OpenLDAP.org/license.html>.
|
||||
*/
|
||||
|
||||
/*
|
||||
* This file works in conjunction with OpenLDAP configure system.
|
||||
* If you do no like the values below, adjust your configure options.
|
||||
*/
|
||||
|
||||
#ifndef _LDAP_CONFIG_H
|
||||
#define _LDAP_CONFIG_H
|
||||
|
||||
/* directory separator */
|
||||
#ifndef LDAP_DIRSEP
|
||||
#ifndef _WIN32
|
||||
#define LDAP_DIRSEP "/"
|
||||
#else
|
||||
#define LDAP_DIRSEP "\\"
|
||||
#endif
|
||||
#endif
|
||||
|
||||
/* directory for temporary files */
|
||||
#if defined(_WIN32)
|
||||
# define LDAP_TMPDIR "C:\\." /* we don't have much of a choice */
|
||||
#elif defined( _P_tmpdir )
|
||||
# define LDAP_TMPDIR _P_tmpdir
|
||||
#elif defined( P_tmpdir )
|
||||
# define LDAP_TMPDIR P_tmpdir
|
||||
#elif defined( _PATH_TMPDIR )
|
||||
# define LDAP_TMPDIR _PATH_TMPDIR
|
||||
#else
|
||||
# define LDAP_TMPDIR LDAP_DIRSEP "tmp"
|
||||
#endif
|
||||
|
||||
/* directories */
|
||||
#ifndef LDAP_BINDIR
|
||||
#define LDAP_BINDIR "/tmp/ldap-prefix/bin"
|
||||
#endif
|
||||
#ifndef LDAP_SBINDIR
|
||||
#define LDAP_SBINDIR "/tmp/ldap-prefix/sbin"
|
||||
#endif
|
||||
#ifndef LDAP_DATADIR
|
||||
#define LDAP_DATADIR "/tmp/ldap-prefix/share/openldap"
|
||||
#endif
|
||||
#ifndef LDAP_SYSCONFDIR
|
||||
#define LDAP_SYSCONFDIR "/tmp/ldap-prefix/etc/openldap"
|
||||
#endif
|
||||
#ifndef LDAP_LIBEXECDIR
|
||||
#define LDAP_LIBEXECDIR "/tmp/ldap-prefix/libexec"
|
||||
#endif
|
||||
#ifndef LDAP_MODULEDIR
|
||||
#define LDAP_MODULEDIR "/tmp/ldap-prefix/libexec/openldap"
|
||||
#endif
|
||||
#ifndef LDAP_RUNDIR
|
||||
#define LDAP_RUNDIR "/tmp/ldap-prefix/var"
|
||||
#endif
|
||||
#ifndef LDAP_LOCALEDIR
|
||||
#define LDAP_LOCALEDIR ""
|
||||
#endif
|
||||
|
||||
|
||||
#endif /* _LDAP_CONFIG_H */
|
||||
61
contrib/openldap-cmake/linux_ppc64le/include/ldap_features.h
Normal file
61
contrib/openldap-cmake/linux_ppc64le/include/ldap_features.h
Normal file
@ -0,0 +1,61 @@
|
||||
/* include/ldap_features.h. Generated from ldap_features.hin by configure. */
|
||||
/* $OpenLDAP$ */
|
||||
/* This work is part of OpenLDAP Software <http://www.openldap.org/>.
|
||||
*
|
||||
* Copyright 1998-2020 The OpenLDAP Foundation.
|
||||
* All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted only as authorized by the OpenLDAP
|
||||
* Public License.
|
||||
*
|
||||
* A copy of this license is available in file LICENSE in the
|
||||
* top-level directory of the distribution or, alternatively, at
|
||||
* <http://www.OpenLDAP.org/license.html>.
|
||||
*/
|
||||
|
||||
/*
|
||||
* LDAP Features
|
||||
*/
|
||||
|
||||
#ifndef _LDAP_FEATURES_H
|
||||
#define _LDAP_FEATURES_H 1
|
||||
|
||||
/* OpenLDAP API version macros */
|
||||
#define LDAP_VENDOR_VERSION 20501
|
||||
#define LDAP_VENDOR_VERSION_MAJOR 2
|
||||
#define LDAP_VENDOR_VERSION_MINOR 5
|
||||
#define LDAP_VENDOR_VERSION_PATCH X
|
||||
|
||||
/*
|
||||
** WORK IN PROGRESS!
|
||||
**
|
||||
** OpenLDAP reentrancy/thread-safeness should be dynamically
|
||||
** checked using ldap_get_option().
|
||||
**
|
||||
** The -lldap implementation is not thread-safe.
|
||||
**
|
||||
** The -lldap_r implementation is:
|
||||
** LDAP_API_FEATURE_THREAD_SAFE (basic thread safety)
|
||||
** but also be:
|
||||
** LDAP_API_FEATURE_SESSION_THREAD_SAFE
|
||||
** LDAP_API_FEATURE_OPERATION_THREAD_SAFE
|
||||
**
|
||||
** The preprocessor flag LDAP_API_FEATURE_X_OPENLDAP_THREAD_SAFE
|
||||
** can be used to determine if -lldap_r is available at compile
|
||||
** time. You must define LDAP_THREAD_SAFE if and only if you
|
||||
** link with -lldap_r.
|
||||
**
|
||||
** If you fail to define LDAP_THREAD_SAFE when linking with
|
||||
** -lldap_r or define LDAP_THREAD_SAFE when linking with -lldap,
|
||||
** provided header definitions and declarations may be incorrect.
|
||||
**
|
||||
*/
|
||||
|
||||
/* is -lldap_r available or not */
|
||||
#define LDAP_API_FEATURE_X_OPENLDAP_THREAD_SAFE 1
|
||||
|
||||
/* LDAP v2 Referrals */
|
||||
/* #undef LDAP_API_FEATURE_X_OPENLDAP_V2_REFERRALS */
|
||||
|
||||
#endif /* LDAP_FEATURES */
|
||||
1169
contrib/openldap-cmake/linux_ppc64le/include/portable.h
Normal file
1169
contrib/openldap-cmake/linux_ppc64le/include/portable.h
Normal file
File diff suppressed because it is too large
Load Diff
4
debian/changelog
vendored
4
debian/changelog
vendored
@ -1,5 +1,5 @@
|
||||
clickhouse (21.4.1.1) unstable; urgency=low
|
||||
clickhouse (21.5.1.1) unstable; urgency=low
|
||||
|
||||
* Modified source code
|
||||
|
||||
-- clickhouse-release <clickhouse-release@yandex-team.ru> Sat, 06 Mar 2021 14:43:27 +0300
|
||||
-- clickhouse-release <clickhouse-release@yandex-team.ru> Fri, 02 Apr 2021 18:34:26 +0300
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.4.1.*
|
||||
ARG version=21.5.1.*
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install --yes --no-install-recommends \
|
||||
|
||||
@ -138,7 +138,8 @@
|
||||
"docker/test/stateless_unbundled",
|
||||
"docker/test/stateless_pytest",
|
||||
"docker/test/integration/base",
|
||||
"docker/test/fuzzer"
|
||||
"docker/test/fuzzer",
|
||||
"docker/test/keeper-jepsen"
|
||||
]
|
||||
},
|
||||
"docker/packager/unbundled": {
|
||||
@ -159,5 +160,9 @@
|
||||
"docker/test/sqlancer": {
|
||||
"name": "yandex/clickhouse-sqlancer-test",
|
||||
"dependent": []
|
||||
},
|
||||
"docker/test/keeper-jepsen": {
|
||||
"name": "yandex/clickhouse-keeper-jepsen-test",
|
||||
"dependent": []
|
||||
}
|
||||
}
|
||||
|
||||
@ -14,12 +14,8 @@ RUN apt-get update \
|
||||
lsb-release \
|
||||
wget \
|
||||
--yes --no-install-recommends --verbose-versions \
|
||||
&& cat /etc/resolv.conf \
|
||||
&& echo "nameserver 1.1.1.1" >> /etc/resolv.conf \
|
||||
&& nslookup -debug apt.llvm.org \
|
||||
&& ping -c1 apt.llvm.org \
|
||||
&& wget -nv --retry-connrefused --tries=10 -O /tmp/llvm-snapshot.gpg.key https://apt.llvm.org/llvm-snapshot.gpg.key \
|
||||
&& export LLVM_PUBKEY_HASH="bda960a8da687a275a2078d43c111d66b1c6a893a3275271beedf266c1ff4a0cdecb429c7a5cccf9f486ea7aa43fd27f" \
|
||||
&& wget -nv -O /tmp/llvm-snapshot.gpg.key https://apt.llvm.org/llvm-snapshot.gpg.key \
|
||||
&& echo "${LLVM_PUBKEY_HASH} /tmp/llvm-snapshot.gpg.key" | sha384sum -c \
|
||||
&& apt-key add /tmp/llvm-snapshot.gpg.key \
|
||||
&& export CODENAME="$(lsb_release --codename --short | tr 'A-Z' 'a-z')" \
|
||||
@ -36,10 +32,7 @@ RUN apt-get update \
|
||||
software-properties-common \
|
||||
--yes --no-install-recommends
|
||||
|
||||
RUN cat /etc/resolv.conf \
|
||||
&& echo "nameserver 1.1.1.1" >> /etc/resolv.conf \
|
||||
&& nslookup -debug apt.llvm.org \
|
||||
&& apt-get update \
|
||||
RUN apt-get update \
|
||||
&& apt-get install \
|
||||
bash \
|
||||
cmake \
|
||||
|
||||
@ -15,7 +15,6 @@ mkdir -p build/build_docker
|
||||
cd build/build_docker
|
||||
ccache --show-stats ||:
|
||||
ccache --zero-stats ||:
|
||||
ln -s /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/libOpenCL.so ||:
|
||||
rm -f CMakeCache.txt
|
||||
# Read cmake arguments into array (possibly empty)
|
||||
read -ra CMAKE_FLAGS <<< "${CMAKE_FLAGS:-}"
|
||||
|
||||
@ -23,4 +23,3 @@ then
|
||||
fi
|
||||
fi
|
||||
ccache --show-stats ||:
|
||||
ln -s /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/libOpenCL.so ||:
|
||||
|
||||
@ -13,4 +13,3 @@ mv /*.rpm /output ||: # if exists
|
||||
mv /*.tgz /output ||: # if exists
|
||||
|
||||
ccache --show-stats ||:
|
||||
ln -s /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/libOpenCL.so ||:
|
||||
|
||||
@ -1,9 +1,24 @@
|
||||
FROM ubuntu:20.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.4.1.*
|
||||
ARG version=21.5.1.*
|
||||
ARG gosu_ver=1.10
|
||||
|
||||
# set non-empty deb_location_url url to create a docker image
|
||||
# from debs created by CI build, for example:
|
||||
# docker build . --network host --build-arg version="21.4.1.6282" --build-arg deb_location_url="https://clickhouse-builds.s3.yandex.net/21852/069cfbff388b3d478d1a16dc7060b48073f5d522/clickhouse_build_check/clang-11_relwithdebuginfo_none_bundled_unsplitted_disable_False_deb/" -t filimonovq/clickhouse-server:pr21852
|
||||
ARG deb_location_url=""
|
||||
|
||||
# set non-empty single_binary_location_url to create docker image
|
||||
# from a single binary url (useful for non-standard builds - with sanitizers, for arm64).
|
||||
# for example (run on aarch64 server):
|
||||
# docker build . --network host --build-arg single_binary_location_url="https://builds.clickhouse.tech/master/aarch64/clickhouse" -t altinity/clickhouse-server:master-testing-arm
|
||||
# note: clickhouse-odbc-bridge is not supported there.
|
||||
ARG single_binary_location_url=""
|
||||
|
||||
# see https://github.com/moby/moby/issues/4032#issuecomment-192327844
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
# user/group precreated explicitly with fixed uid/gid on purpose.
|
||||
# It is especially important for rootless containers: in that case entrypoint
|
||||
# can't do chown and owners of mounted volumes should be configured externally.
|
||||
@ -19,20 +34,37 @@ RUN groupadd -r clickhouse --gid=101 \
|
||||
ca-certificates \
|
||||
dirmngr \
|
||||
gnupg \
|
||||
locales \
|
||||
wget \
|
||||
tzdata \
|
||||
&& mkdir -p /etc/apt/sources.list.d \
|
||||
&& apt-key adv --keyserver keyserver.ubuntu.com --recv E0C56BD4 \
|
||||
&& echo $repository > /etc/apt/sources.list.d/clickhouse.list \
|
||||
&& apt-get update \
|
||||
&& env DEBIAN_FRONTEND=noninteractive \
|
||||
apt-get --yes -o "Dpkg::Options::=--force-confdef" -o "Dpkg::Options::=--force-confold" upgrade \
|
||||
&& env DEBIAN_FRONTEND=noninteractive \
|
||||
apt-get install --allow-unauthenticated --yes --no-install-recommends \
|
||||
clickhouse-common-static=$version \
|
||||
clickhouse-client=$version \
|
||||
clickhouse-server=$version \
|
||||
locales \
|
||||
wget \
|
||||
tzdata \
|
||||
&& if [ -n "$deb_location_url" ]; then \
|
||||
echo "installing from custom url with deb packages: $deb_location_url" \
|
||||
rm -rf /tmp/clickhouse_debs \
|
||||
&& mkdir -p /tmp/clickhouse_debs \
|
||||
&& wget --progress=bar:force:noscroll "${deb_location_url}/clickhouse-common-static_${version}_amd64.deb" -P /tmp/clickhouse_debs \
|
||||
&& wget --progress=bar:force:noscroll "${deb_location_url}/clickhouse-client_${version}_all.deb" -P /tmp/clickhouse_debs \
|
||||
&& wget --progress=bar:force:noscroll "${deb_location_url}/clickhouse-server_${version}_all.deb" -P /tmp/clickhouse_debs \
|
||||
&& dpkg -i /tmp/clickhouse_debs/*.deb ; \
|
||||
elif [ -n "$single_binary_location_url" ]; then \
|
||||
echo "installing from single binary url: $single_binary_location_url" \
|
||||
&& rm -rf /tmp/clickhouse_binary \
|
||||
&& mkdir -p /tmp/clickhouse_binary \
|
||||
&& wget --progress=bar:force:noscroll "$single_binary_location_url" -O /tmp/clickhouse_binary/clickhouse \
|
||||
&& chmod +x /tmp/clickhouse_binary/clickhouse \
|
||||
&& /tmp/clickhouse_binary/clickhouse install --user "clickhouse" --group "clickhouse" ; \
|
||||
else \
|
||||
echo "installing from repository: $repository" \
|
||||
&& apt-get update \
|
||||
&& apt-get --yes -o "Dpkg::Options::=--force-confdef" -o "Dpkg::Options::=--force-confold" upgrade \
|
||||
&& apt-get install --allow-unauthenticated --yes --no-install-recommends \
|
||||
clickhouse-common-static=$version \
|
||||
clickhouse-client=$version \
|
||||
clickhouse-server=$version ; \
|
||||
fi \
|
||||
&& clickhouse-local -q 'SELECT * FROM system.build_options' \
|
||||
&& rm -rf \
|
||||
/var/lib/apt/lists/* \
|
||||
/var/cache/debconf \
|
||||
|
||||
@ -38,17 +38,16 @@ if ! $gosu test -f "$CLICKHOUSE_CONFIG" -a -r "$CLICKHOUSE_CONFIG"; then
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# port is needed to check if clickhouse-server is ready for connections
|
||||
HTTP_PORT="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=http_port)"
|
||||
|
||||
# get CH directories locations
|
||||
DATA_DIR="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=path || true)"
|
||||
TMP_DIR="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=tmp_path || true)"
|
||||
USER_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=user_files_path || true)"
|
||||
LOG_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=logger.log || true)"
|
||||
LOG_DIR="$(dirname "$LOG_PATH" || true)"
|
||||
LOG_DIR=""
|
||||
if [ -n "$LOG_PATH" ]; then LOG_DIR="$(dirname "$LOG_PATH")"; fi
|
||||
ERROR_LOG_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=logger.errorlog || true)"
|
||||
ERROR_LOG_DIR="$(dirname "$ERROR_LOG_PATH" || true)"
|
||||
ERROR_LOG_DIR=""
|
||||
if [ -n "$ERROR_LOG_PATH" ]; then ERROR_LOG_DIR="$(dirname "$ERROR_LOG_PATH")"; fi
|
||||
FORMAT_SCHEMA_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=format_schema_path || true)"
|
||||
|
||||
CLICKHOUSE_USER="${CLICKHOUSE_USER:-default}"
|
||||
@ -106,6 +105,9 @@ EOT
|
||||
fi
|
||||
|
||||
if [ -n "$(ls /docker-entrypoint-initdb.d/)" ] || [ -n "$CLICKHOUSE_DB" ]; then
|
||||
# port is needed to check if clickhouse-server is ready for connections
|
||||
HTTP_PORT="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=http_port)"
|
||||
|
||||
# Listen only on localhost until the initialization is done
|
||||
$gosu /usr/bin/clickhouse-server --config-file="$CLICKHOUSE_CONFIG" -- --listen_host=127.0.0.1 &
|
||||
pid="$!"
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.4.1.*
|
||||
ARG version=21.5.1.*
|
||||
|
||||
RUN apt-get update && \
|
||||
apt-get install -y apt-transport-https dirmngr && \
|
||||
|
||||
@ -4,9 +4,8 @@ FROM ubuntu:20.04
|
||||
ENV DEBIAN_FRONTEND=noninteractive LLVM_VERSION=11
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install apt-utils ca-certificates lsb-release wget gnupg apt-transport-https \
|
||||
&& apt-get install ca-certificates lsb-release wget gnupg apt-transport-https \
|
||||
--yes --no-install-recommends --verbose-versions \
|
||||
&& echo "nameserver 1.1.1.1" >> /etc/resolv.conf \
|
||||
&& export LLVM_PUBKEY_HASH="bda960a8da687a275a2078d43c111d66b1c6a893a3275271beedf266c1ff4a0cdecb429c7a5cccf9f486ea7aa43fd27f" \
|
||||
&& wget -nv -O /tmp/llvm-snapshot.gpg.key https://apt.llvm.org/llvm-snapshot.gpg.key \
|
||||
&& echo "${LLVM_PUBKEY_HASH} /tmp/llvm-snapshot.gpg.key" | sha384sum -c \
|
||||
@ -32,8 +31,7 @@ RUN curl -O https://clickhouse-builds.s3.yandex.net/utils/1/dpkg-deb \
|
||||
&& chmod +x dpkg-deb \
|
||||
&& cp dpkg-deb /usr/bin
|
||||
|
||||
RUN echo "nameserver 1.1.1.1" >> /etc/resolv.conf \
|
||||
&& apt-get update \
|
||||
RUN apt-get update \
|
||||
&& apt-get install \
|
||||
clang-${LLVM_VERSION} \
|
||||
debhelper \
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
# docker build -t yandex/clickhouse-fasttest .
|
||||
FROM ubuntu:20.04
|
||||
|
||||
ENV DEBIAN_FRONTEND=noninteractive LLVM_VERSION=10
|
||||
ENV DEBIAN_FRONTEND=noninteractive LLVM_VERSION=11
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install ca-certificates lsb-release wget gnupg apt-transport-https \
|
||||
@ -43,20 +43,20 @@ RUN apt-get update \
|
||||
clang-tidy-${LLVM_VERSION} \
|
||||
cmake \
|
||||
curl \
|
||||
lsof \
|
||||
expect \
|
||||
fakeroot \
|
||||
git \
|
||||
gdb \
|
||||
git \
|
||||
gperf \
|
||||
lld-${LLVM_VERSION} \
|
||||
llvm-${LLVM_VERSION} \
|
||||
lsof \
|
||||
moreutils \
|
||||
ninja-build \
|
||||
psmisc \
|
||||
python3 \
|
||||
python3-pip \
|
||||
python3-lxml \
|
||||
python3-pip \
|
||||
python3-requests \
|
||||
python3-termcolor \
|
||||
rename \
|
||||
|
||||
@ -8,6 +8,9 @@ trap 'kill $(jobs -pr) ||:' EXIT
|
||||
# that we can run the "everything else" stage from the cloned source.
|
||||
stage=${stage:-}
|
||||
|
||||
# Compiler version, normally set by Dockerfile
|
||||
export LLVM_VERSION=${LLVM_VERSION:-11}
|
||||
|
||||
# A variable to pass additional flags to CMake.
|
||||
# Here we explicitly default it to nothing so that bash doesn't complain about
|
||||
# it being undefined. Also read it as array so that we can pass an empty list
|
||||
@ -70,7 +73,7 @@ function start_server
|
||||
--path "$FASTTEST_DATA"
|
||||
--user_files_path "$FASTTEST_DATA/user_files"
|
||||
--top_level_domains_path "$FASTTEST_DATA/top_level_domains"
|
||||
--test_keeper_server.log_storage_path "$FASTTEST_DATA/coordination"
|
||||
--keeper_server.log_storage_path "$FASTTEST_DATA/coordination"
|
||||
)
|
||||
clickhouse-server "${opts[@]}" &>> "$FASTTEST_OUTPUT/server.log" &
|
||||
server_pid=$!
|
||||
@ -124,22 +127,26 @@ continue
|
||||
|
||||
function clone_root
|
||||
{
|
||||
git clone https://github.com/ClickHouse/ClickHouse.git -- "$FASTTEST_SOURCE" | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/clone_log.txt"
|
||||
git clone --depth 1 https://github.com/ClickHouse/ClickHouse.git -- "$FASTTEST_SOURCE" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/clone_log.txt"
|
||||
|
||||
(
|
||||
cd "$FASTTEST_SOURCE"
|
||||
if [ "$PULL_REQUEST_NUMBER" != "0" ]; then
|
||||
if git fetch origin "+refs/pull/$PULL_REQUEST_NUMBER/merge"; then
|
||||
if git fetch --depth 1 origin "+refs/pull/$PULL_REQUEST_NUMBER/merge"; then
|
||||
git checkout FETCH_HEAD
|
||||
echo 'Clonned merge head'
|
||||
echo "Checked out pull/$PULL_REQUEST_NUMBER/merge ($(git rev-parse FETCH_HEAD))"
|
||||
else
|
||||
git fetch origin "+refs/pull/$PULL_REQUEST_NUMBER/head"
|
||||
git fetch --depth 1 origin "+refs/pull/$PULL_REQUEST_NUMBER/head"
|
||||
git checkout "$COMMIT_SHA"
|
||||
echo 'Checked out to commit'
|
||||
echo "Checked out nominal SHA $COMMIT_SHA for PR $PULL_REQUEST_NUMBER"
|
||||
fi
|
||||
else
|
||||
if [ -v COMMIT_SHA ]; then
|
||||
git fetch --depth 1 origin "$COMMIT_SHA"
|
||||
git checkout "$COMMIT_SHA"
|
||||
echo "Checked out nominal SHA $COMMIT_SHA for master"
|
||||
else
|
||||
echo "Using default repository head $(git rev-parse HEAD)"
|
||||
fi
|
||||
fi
|
||||
)
|
||||
@ -181,7 +188,7 @@ function clone_submodules
|
||||
)
|
||||
|
||||
git submodule sync
|
||||
git submodule update --init --recursive "${SUBMODULES_TO_UPDATE[@]}"
|
||||
git submodule update --depth 1 --init --recursive "${SUBMODULES_TO_UPDATE[@]}"
|
||||
git submodule foreach git reset --hard
|
||||
git submodule foreach git checkout @ -f
|
||||
git submodule foreach git clean -xfd
|
||||
@ -215,7 +222,7 @@ function run_cmake
|
||||
|
||||
(
|
||||
cd "$FASTTEST_BUILD"
|
||||
cmake "$FASTTEST_SOURCE" -DCMAKE_CXX_COMPILER=clang++-10 -DCMAKE_C_COMPILER=clang-10 "${CMAKE_LIBS_CONFIG[@]}" "${FASTTEST_CMAKE_FLAGS[@]}" | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/cmake_log.txt"
|
||||
cmake "$FASTTEST_SOURCE" -DCMAKE_CXX_COMPILER="clang++-${LLVM_VERSION}" -DCMAKE_C_COMPILER="clang-${LLVM_VERSION}" "${CMAKE_LIBS_CONFIG[@]}" "${FASTTEST_CMAKE_FLAGS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/cmake_log.txt"
|
||||
)
|
||||
}
|
||||
|
||||
@ -223,7 +230,7 @@ function build
|
||||
{
|
||||
(
|
||||
cd "$FASTTEST_BUILD"
|
||||
time ninja clickhouse-bundle | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/build_log.txt"
|
||||
time ninja clickhouse-bundle 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/build_log.txt"
|
||||
if [ "$COPY_CLICKHOUSE_BINARY_TO_OUTPUT" -eq "1" ]; then
|
||||
cp programs/clickhouse "$FASTTEST_OUTPUT/clickhouse"
|
||||
fi
|
||||
@ -420,7 +427,7 @@ case "$stage" in
|
||||
# See the compatibility hacks in `clone_root` stage above. Remove at the same time,
|
||||
# after Nov 1, 2020.
|
||||
cd "$FASTTEST_WORKSPACE"
|
||||
clone_submodules | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/submodule_log.txt"
|
||||
clone_submodules 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/submodule_log.txt"
|
||||
;&
|
||||
"run_cmake")
|
||||
run_cmake
|
||||
@ -431,7 +438,7 @@ case "$stage" in
|
||||
"configure")
|
||||
# The `install_log.txt` is also needed for compatibility with old CI task --
|
||||
# if there is no log, it will decide that build failed.
|
||||
configure | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/install_log.txt"
|
||||
configure 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/install_log.txt"
|
||||
;&
|
||||
"run_tests")
|
||||
run_tests
|
||||
|
||||
@ -69,11 +69,25 @@ function watchdog
|
||||
killall -9 clickhouse-client ||:
|
||||
}
|
||||
|
||||
function filter_exists
|
||||
{
|
||||
local path
|
||||
for path in "$@"; do
|
||||
if [ -e "$path" ]; then
|
||||
echo "$path"
|
||||
else
|
||||
echo "'$path' does not exists" >&2
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
function fuzz
|
||||
{
|
||||
# Obtain the list of newly added tests. They will be fuzzed in more extreme way than other tests.
|
||||
# Don't overwrite the NEW_TESTS_OPT so that it can be set from the environment.
|
||||
NEW_TESTS="$(grep -P 'tests/queries/0_stateless/.*\.sql' ci-changed-files.txt | sed -r -e 's!^!ch/!' | sort -R)"
|
||||
# ci-changed-files.txt contains also files that has been deleted/renamed, filter them out.
|
||||
NEW_TESTS="$(filter_exists $NEW_TESTS)"
|
||||
if [[ -n "$NEW_TESTS" ]]
|
||||
then
|
||||
NEW_TESTS_OPT="${NEW_TESTS_OPT:---interleave-queries-file ${NEW_TESTS}}"
|
||||
|
||||
39
docker/test/keeper-jepsen/Dockerfile
Normal file
39
docker/test/keeper-jepsen/Dockerfile
Normal file
@ -0,0 +1,39 @@
|
||||
# docker build -t yandex/clickhouse-keeper-jepsen-test .
|
||||
FROM yandex/clickhouse-test-base
|
||||
|
||||
ENV DEBIAN_FRONTEND=noninteractive
|
||||
ENV CLOJURE_VERSION=1.10.3.814
|
||||
|
||||
# arguments
|
||||
ENV PR_TO_TEST=""
|
||||
ENV SHA_TO_TEST=""
|
||||
|
||||
ENV NODES_USERNAME="root"
|
||||
ENV NODES_PASSWORD=""
|
||||
ENV TESTS_TO_RUN="30"
|
||||
ENV TIME_LIMIT="30"
|
||||
|
||||
|
||||
# volumes
|
||||
ENV NODES_FILE_PATH="/nodes.txt"
|
||||
ENV TEST_OUTPUT="/test_output"
|
||||
|
||||
RUN mkdir "/root/.ssh"
|
||||
RUN touch "/root/.ssh/known_hosts"
|
||||
|
||||
# install java
|
||||
RUN apt-get update && apt-get install default-jre default-jdk libjna-java libjna-jni ssh gnuplot graphviz --yes --no-install-recommends
|
||||
|
||||
# install clojure
|
||||
RUN curl -O "https://download.clojure.org/install/linux-install-${CLOJURE_VERSION}.sh" && \
|
||||
chmod +x "linux-install-${CLOJURE_VERSION}.sh" && \
|
||||
bash "./linux-install-${CLOJURE_VERSION}.sh"
|
||||
|
||||
# install leiningen
|
||||
RUN curl -O "https://raw.githubusercontent.com/technomancy/leiningen/stable/bin/lein" && \
|
||||
chmod +x ./lein && \
|
||||
mv ./lein /usr/bin
|
||||
|
||||
COPY run.sh /
|
||||
|
||||
CMD ["/bin/bash", "/run.sh"]
|
||||
22
docker/test/keeper-jepsen/run.sh
Normal file
22
docker/test/keeper-jepsen/run.sh
Normal file
@ -0,0 +1,22 @@
|
||||
#!/usr/bin/env bash
|
||||
set -euo pipefail
|
||||
|
||||
|
||||
CLICKHOUSE_PACKAGE=${CLICKHOUSE_PACKAGE:="https://clickhouse-builds.s3.yandex.net/$PR_TO_TEST/$SHA_TO_TEST/clickhouse_build_check/clang-11_relwithdebuginfo_none_bundled_unsplitted_disable_False_binary/clickhouse"}
|
||||
CLICKHOUSE_REPO_PATH=${CLICKHOUSE_REPO_PATH:=""}
|
||||
|
||||
|
||||
if [ -z "$CLICKHOUSE_REPO_PATH" ]; then
|
||||
CLICKHOUSE_REPO_PATH=ch
|
||||
rm -rf ch ||:
|
||||
mkdir ch ||:
|
||||
wget -nv -nd -c "https://clickhouse-test-reports.s3.yandex.net/$PR_TO_TEST/$SHA_TO_TEST/repo/clickhouse_no_subs.tar.gz"
|
||||
tar -C ch --strip-components=1 -xf clickhouse_no_subs.tar.gz
|
||||
ls -lath ||:
|
||||
fi
|
||||
|
||||
cd "$CLICKHOUSE_REPO_PATH/tests/jepsen.clickhouse-keeper"
|
||||
|
||||
(lein run test-all --nodes-file "$NODES_FILE_PATH" --username "$NODES_USERNAME" --logging-json --password "$NODES_PASSWORD" --time-limit "$TIME_LIMIT" --concurrency 50 -r 50 --snapshot-distance 100 --stale-log-gap 100 --reserved-log-items 10 --lightweight-run --clickhouse-source "$CLICKHOUSE_PACKAGE" -q --test-count "$TESTS_TO_RUN" || true) | tee "$TEST_OUTPUT/jepsen_run_all_tests.log"
|
||||
|
||||
mv store "$TEST_OUTPUT/"
|
||||
@ -3,7 +3,7 @@
|
||||
<mysql_port remove="remove"/>
|
||||
<interserver_http_port remove="remove"/>
|
||||
<tcp_with_proxy_port remove="remove"/>
|
||||
<test_keeper_server remove="remove"/>
|
||||
<keeper_server remove="remove"/>
|
||||
<listen_host>::</listen_host>
|
||||
|
||||
<logger>
|
||||
|
||||
@ -2,7 +2,6 @@
|
||||
FROM ubuntu:20.04
|
||||
|
||||
RUN apt-get update --yes && env DEBIAN_FRONTEND=noninteractive apt-get install wget unzip git openjdk-14-jdk maven python3 --yes --no-install-recommends
|
||||
|
||||
RUN wget https://github.com/sqlancer/sqlancer/archive/master.zip -O /sqlancer.zip
|
||||
RUN mkdir /sqlancer && \
|
||||
cd /sqlancer && \
|
||||
|
||||
@ -13,6 +13,25 @@ dpkg -i package_folder/clickhouse-test_*.deb
|
||||
|
||||
function start()
|
||||
{
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
# NOTE We run "clickhouse server" instead of "clickhouse-server"
|
||||
# to make "pidof clickhouse-server" return single pid of the main instance.
|
||||
# We wil run main instance using "service clickhouse-server start"
|
||||
sudo -E -u clickhouse /usr/bin/clickhouse server --config /etc/clickhouse-server1/config.xml --daemon \
|
||||
-- --path /var/lib/clickhouse1/ --logger.stderr /var/log/clickhouse-server/stderr1.log \
|
||||
--logger.log /var/log/clickhouse-server/clickhouse-server1.log --logger.errorlog /var/log/clickhouse-server/clickhouse-server1.err.log \
|
||||
--tcp_port 19000 --tcp_port_secure 19440 --http_port 18123 --https_port 18443 --interserver_http_port 19009 --tcp_with_proxy_port 19010 \
|
||||
--mysql_port 19004 \
|
||||
--keeper_server.tcp_port 19181 --keeper_server.server_id 2
|
||||
|
||||
sudo -E -u clickhouse /usr/bin/clickhouse server --config /etc/clickhouse-server2/config.xml --daemon \
|
||||
-- --path /var/lib/clickhouse2/ --logger.stderr /var/log/clickhouse-server/stderr2.log \
|
||||
--logger.log /var/log/clickhouse-server/clickhouse-server2.log --logger.errorlog /var/log/clickhouse-server/clickhouse-server2.err.log \
|
||||
--tcp_port 29000 --tcp_port_secure 29440 --http_port 28123 --https_port 28443 --interserver_http_port 29009 --tcp_with_proxy_port 29010 \
|
||||
--mysql_port 29004 \
|
||||
--keeper_server.tcp_port 29181 --keeper_server.server_id 3
|
||||
fi
|
||||
|
||||
counter=0
|
||||
until clickhouse-client --query "SELECT 1"
|
||||
do
|
||||
@ -35,9 +54,8 @@ start
|
||||
/s3downloader --dataset-names $DATASETS
|
||||
chmod 777 -R /var/lib/clickhouse
|
||||
clickhouse-client --query "SHOW DATABASES"
|
||||
clickhouse-client --query "ATTACH DATABASE datasets ENGINE = Ordinary"
|
||||
clickhouse-client --query "CREATE DATABASE test"
|
||||
|
||||
clickhouse-client --query "ATTACH DATABASE datasets ENGINE = Ordinary"
|
||||
service clickhouse-server restart
|
||||
|
||||
# Wait for server to start accepting connections
|
||||
@ -47,24 +65,50 @@ for _ in {1..120}; do
|
||||
done
|
||||
|
||||
clickhouse-client --query "SHOW TABLES FROM datasets"
|
||||
clickhouse-client --query "SHOW TABLES FROM test"
|
||||
clickhouse-client --query "RENAME TABLE datasets.hits_v1 TO test.hits"
|
||||
clickhouse-client --query "RENAME TABLE datasets.visits_v1 TO test.visits"
|
||||
clickhouse-client --query "SHOW TABLES FROM test"
|
||||
|
||||
if grep -q -- "--use-skip-list" /usr/bin/clickhouse-test ; then
|
||||
SKIP_LIST_OPT="--use-skip-list"
|
||||
fi
|
||||
|
||||
# We can have several additional options so we path them as array because it's
|
||||
# more idiologically correct.
|
||||
read -ra ADDITIONAL_OPTIONS <<< "${ADDITIONAL_OPTIONS:-}"
|
||||
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
ADDITIONAL_OPTIONS+=('--replicated-database')
|
||||
clickhouse-client --query "CREATE DATABASE test ON CLUSTER 'test_cluster_database_replicated'
|
||||
ENGINE=Replicated('/test/clickhouse/db/test', '{shard}', '{replica}')"
|
||||
|
||||
clickhouse-client --query "CREATE TABLE test.hits AS datasets.hits_v1"
|
||||
clickhouse-client --query "CREATE TABLE test.visits AS datasets.visits_v1"
|
||||
|
||||
clickhouse-client --query "INSERT INTO test.hits SELECT * FROM datasets.hits_v1"
|
||||
clickhouse-client --query "INSERT INTO test.visits SELECT * FROM datasets.visits_v1"
|
||||
|
||||
clickhouse-client --query "DROP TABLE datasets.hits_v1"
|
||||
clickhouse-client --query "DROP TABLE datasets.visits_v1"
|
||||
|
||||
MAX_RUN_TIME=$((MAX_RUN_TIME < 9000 ? MAX_RUN_TIME : 9000)) # min(MAX_RUN_TIME, 2.5 hours)
|
||||
MAX_RUN_TIME=$((MAX_RUN_TIME != 0 ? MAX_RUN_TIME : 9000)) # set to 2.5 hours if 0 (unlimited)
|
||||
else
|
||||
clickhouse-client --query "CREATE DATABASE test"
|
||||
clickhouse-client --query "SHOW TABLES FROM test"
|
||||
clickhouse-client --query "RENAME TABLE datasets.hits_v1 TO test.hits"
|
||||
clickhouse-client --query "RENAME TABLE datasets.visits_v1 TO test.visits"
|
||||
fi
|
||||
|
||||
clickhouse-test --testname --shard --zookeeper --no-stateless --hung-check --print-time "$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" "$SKIP_TESTS_OPTION" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee test_output/test_result.txt
|
||||
clickhouse-client --query "SHOW TABLES FROM test"
|
||||
clickhouse-client --query "SELECT count() FROM test.hits"
|
||||
clickhouse-client --query "SELECT count() FROM test.visits"
|
||||
|
||||
function run_tests()
|
||||
{
|
||||
set -x
|
||||
# We can have several additional options so we path them as array because it's
|
||||
# more idiologically correct.
|
||||
read -ra ADDITIONAL_OPTIONS <<< "${ADDITIONAL_OPTIONS:-}"
|
||||
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
ADDITIONAL_OPTIONS+=('--replicated-database')
|
||||
fi
|
||||
|
||||
clickhouse-test --testname --shard --zookeeper --no-stateless --hung-check --use-skip-list --print-time "${ADDITIONAL_OPTIONS[@]}" \
|
||||
"$SKIP_TESTS_OPTION" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee test_output/test_result.txt
|
||||
}
|
||||
|
||||
export -f run_tests
|
||||
timeout "$MAX_RUN_TIME" bash -c run_tests ||:
|
||||
|
||||
./process_functional_tests_result.py || echo -e "failure\tCannot parse results" > /test_output/check_status.tsv
|
||||
|
||||
@ -73,3 +117,9 @@ mv /var/log/clickhouse-server/stderr.log /test_output/ ||:
|
||||
if [[ -n "$WITH_COVERAGE" ]] && [[ "$WITH_COVERAGE" -eq 1 ]]; then
|
||||
tar -chf /test_output/clickhouse_coverage.tar.gz /profraw ||:
|
||||
fi
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server1.log > /test_output/clickhouse-server1.log.gz ||:
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server2.log > /test_output/clickhouse-server2.log.gz ||:
|
||||
mv /var/log/clickhouse-server/stderr1.log /test_output/ ||:
|
||||
mv /var/log/clickhouse-server/stderr2.log /test_output/ ||:
|
||||
fi
|
||||
|
||||
@ -12,6 +12,8 @@ UNKNOWN_SIGN = "[ UNKNOWN "
|
||||
SKIPPED_SIGN = "[ SKIPPED "
|
||||
HUNG_SIGN = "Found hung queries in processlist"
|
||||
|
||||
NO_TASK_TIMEOUT_SIGN = "All tests have finished"
|
||||
|
||||
def process_test_log(log_path):
|
||||
total = 0
|
||||
skipped = 0
|
||||
@ -19,10 +21,13 @@ def process_test_log(log_path):
|
||||
failed = 0
|
||||
success = 0
|
||||
hung = False
|
||||
task_timeout = True
|
||||
test_results = []
|
||||
with open(log_path, 'r') as test_file:
|
||||
for line in test_file:
|
||||
line = line.strip()
|
||||
if NO_TASK_TIMEOUT_SIGN in line:
|
||||
task_timeout = False
|
||||
if HUNG_SIGN in line:
|
||||
hung = True
|
||||
if any(sign in line for sign in (OK_SIGN, FAIL_SING, UNKNOWN_SIGN, SKIPPED_SIGN)):
|
||||
@ -52,7 +57,7 @@ def process_test_log(log_path):
|
||||
else:
|
||||
success += int(OK_SIGN in line)
|
||||
test_results.append((test_name, "OK", test_time))
|
||||
return total, skipped, unknown, failed, success, hung, test_results
|
||||
return total, skipped, unknown, failed, success, hung, task_timeout, test_results
|
||||
|
||||
def process_result(result_path):
|
||||
test_results = []
|
||||
@ -68,7 +73,7 @@ def process_result(result_path):
|
||||
state = "error"
|
||||
|
||||
if result_path and os.path.exists(result_path):
|
||||
total, skipped, unknown, failed, success, hung, test_results = process_test_log(result_path)
|
||||
total, skipped, unknown, failed, success, hung, task_timeout, test_results = process_test_log(result_path)
|
||||
is_flacky_check = 1 < int(os.environ.get('NUM_TRIES', 1))
|
||||
# If no tests were run (success == 0) it indicates an error (e.g. server did not start or crashed immediately)
|
||||
# But it's Ok for "flaky checks" - they can contain just one test for check which is marked as skipped.
|
||||
@ -78,6 +83,9 @@ def process_result(result_path):
|
||||
if hung:
|
||||
description = "Some queries hung, "
|
||||
state = "failure"
|
||||
elif task_timeout:
|
||||
description = "Timeout, "
|
||||
state = "failure"
|
||||
else:
|
||||
description = ""
|
||||
|
||||
|
||||
@ -34,36 +34,61 @@ if [ "$NUM_TRIES" -gt "1" ]; then
|
||||
|
||||
# simpliest way to forward env variables to server
|
||||
sudo -E -u clickhouse /usr/bin/clickhouse-server --config /etc/clickhouse-server/config.xml --daemon
|
||||
sleep 5
|
||||
else
|
||||
service clickhouse-server start && sleep 5
|
||||
service clickhouse-server start
|
||||
fi
|
||||
|
||||
if grep -q -- "--use-skip-list" /usr/bin/clickhouse-test; then
|
||||
SKIP_LIST_OPT="--use-skip-list"
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
|
||||
sudo -E -u clickhouse /usr/bin/clickhouse server --config /etc/clickhouse-server1/config.xml --daemon \
|
||||
-- --path /var/lib/clickhouse1/ --logger.stderr /var/log/clickhouse-server/stderr1.log \
|
||||
--logger.log /var/log/clickhouse-server/clickhouse-server1.log --logger.errorlog /var/log/clickhouse-server/clickhouse-server1.err.log \
|
||||
--tcp_port 19000 --tcp_port_secure 19440 --http_port 18123 --https_port 18443 --interserver_http_port 19009 --tcp_with_proxy_port 19010 \
|
||||
--mysql_port 19004 \
|
||||
--keeper_server.tcp_port 19181 --keeper_server.server_id 2 \
|
||||
--macros.replica r2 # It doesn't work :(
|
||||
|
||||
sudo -E -u clickhouse /usr/bin/clickhouse server --config /etc/clickhouse-server2/config.xml --daemon \
|
||||
-- --path /var/lib/clickhouse2/ --logger.stderr /var/log/clickhouse-server/stderr2.log \
|
||||
--logger.log /var/log/clickhouse-server/clickhouse-server2.log --logger.errorlog /var/log/clickhouse-server/clickhouse-server2.err.log \
|
||||
--tcp_port 29000 --tcp_port_secure 29440 --http_port 28123 --https_port 28443 --interserver_http_port 29009 --tcp_with_proxy_port 29010 \
|
||||
--mysql_port 29004 \
|
||||
--keeper_server.tcp_port 29181 --keeper_server.server_id 3 \
|
||||
--macros.shard s2 # It doesn't work :(
|
||||
|
||||
MAX_RUN_TIME=$((MAX_RUN_TIME < 9000 ? MAX_RUN_TIME : 9000)) # min(MAX_RUN_TIME, 2.5 hours)
|
||||
MAX_RUN_TIME=$((MAX_RUN_TIME != 0 ? MAX_RUN_TIME : 9000)) # set to 2.5 hours if 0 (unlimited)
|
||||
fi
|
||||
|
||||
sleep 5
|
||||
|
||||
function run_tests()
|
||||
{
|
||||
set -x
|
||||
# We can have several additional options so we path them as array because it's
|
||||
# more idiologically correct.
|
||||
read -ra ADDITIONAL_OPTIONS <<< "${ADDITIONAL_OPTIONS:-}"
|
||||
|
||||
# Skip these tests, because they fail when we rerun them multiple times
|
||||
if [ "$NUM_TRIES" -gt "1" ]; then
|
||||
ADDITIONAL_OPTIONS+=('--order=random')
|
||||
ADDITIONAL_OPTIONS+=('--skip')
|
||||
ADDITIONAL_OPTIONS+=('00000_no_tests_to_skip')
|
||||
ADDITIONAL_OPTIONS+=('--jobs')
|
||||
ADDITIONAL_OPTIONS+=('4')
|
||||
# Note that flaky check must be ran in parallel, but for now we run
|
||||
# everything in parallel except DatabaseReplicated. See below.
|
||||
fi
|
||||
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
ADDITIONAL_OPTIONS+=('--replicated-database')
|
||||
else
|
||||
# Too many tests fail for DatabaseReplicated in parallel. All other
|
||||
# configurations are OK.
|
||||
ADDITIONAL_OPTIONS+=('--jobs')
|
||||
ADDITIONAL_OPTIONS+=('8')
|
||||
fi
|
||||
|
||||
clickhouse-test --testname --shard --zookeeper --hung-check --print-time \
|
||||
--test-runs "$NUM_TRIES" \
|
||||
"$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" 2>&1 \
|
||||
--use-skip-list --test-runs "$NUM_TRIES" "${ADDITIONAL_OPTIONS[@]}" 2>&1 \
|
||||
| ts '%Y-%m-%d %H:%M:%S' \
|
||||
| tee -a test_output/test_result.txt
|
||||
}
|
||||
@ -74,10 +99,23 @@ timeout "$MAX_RUN_TIME" bash -c run_tests ||:
|
||||
|
||||
./process_functional_tests_result.py || echo -e "failure\tCannot parse results" > /test_output/check_status.tsv
|
||||
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server.log > /test_output/clickhouse-server.log.gz ||:
|
||||
clickhouse-client -q "system flush logs" ||:
|
||||
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server.log > /test_output/clickhouse-server.log.gz &
|
||||
clickhouse-client -q "select * from system.query_log format TSVWithNamesAndTypes" | pigz > /test_output/query-log.tsv.gz &
|
||||
clickhouse-client -q "select * from system.query_thread_log format TSVWithNamesAndTypes" | pigz > /test_output/query-thread-log.tsv.gz &
|
||||
wait ||:
|
||||
|
||||
mv /var/log/clickhouse-server/stderr.log /test_output/ ||:
|
||||
if [[ -n "$WITH_COVERAGE" ]] && [[ "$WITH_COVERAGE" -eq 1 ]]; then
|
||||
tar -chf /test_output/clickhouse_coverage.tar.gz /profraw ||:
|
||||
fi
|
||||
tar -chf /test_output/text_log_dump.tar /var/lib/clickhouse/data/system/text_log ||:
|
||||
tar -chf /test_output/query_log_dump.tar /var/lib/clickhouse/data/system/query_log ||:
|
||||
|
||||
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server1.log > /test_output/clickhouse-server1.log.gz ||:
|
||||
pigz < /var/log/clickhouse-server/clickhouse-server2.log > /test_output/clickhouse-server2.log.gz ||:
|
||||
mv /var/log/clickhouse-server/stderr1.log /test_output/ ||:
|
||||
mv /var/log/clickhouse-server/stderr2.log /test_output/ ||:
|
||||
fi
|
||||
|
||||
@ -126,7 +126,13 @@ Contribute all new information in English language. Other languages are translat
|
||||
|
||||
### Adding a New File
|
||||
|
||||
When adding a new file:
|
||||
When you add a new file, it should end with a link like:
|
||||
|
||||
`[Original article](https://clickhouse.tech/docs/<path-to-the-page>) <!--hide-->`
|
||||
|
||||
and there should be **a new empty line** after it.
|
||||
|
||||
{## When adding a new file:
|
||||
|
||||
- Make symbolic links for all other languages. You can use the following commands:
|
||||
|
||||
@ -134,7 +140,7 @@ When adding a new file:
|
||||
$ cd /ClickHouse/clone/directory/docs
|
||||
$ ln -sr en/new/file.md lang/new/file.md
|
||||
```
|
||||
|
||||
##}
|
||||
<a name="adding-a-new-language"/>
|
||||
|
||||
### Adding a New Language
|
||||
@ -195,8 +201,11 @@ Templates:
|
||||
|
||||
- [Function](_description_templates/template-function.md)
|
||||
- [Setting](_description_templates/template-setting.md)
|
||||
- [Server Setting](_description_templates/template-server-setting.md)
|
||||
- [Database or Table engine](_description_templates/template-engine.md)
|
||||
- [System table](_description_templates/template-system-table.md)
|
||||
- [Data type](_description_templates/data-type.md)
|
||||
- [Statement](_description_templates/statement.md)
|
||||
|
||||
|
||||
<a name="how-to-build-docs"/>
|
||||
|
||||
@ -31,9 +31,10 @@ toc_title: Cloud
|
||||
|
||||
## Alibaba Cloud {#alibaba-cloud}
|
||||
|
||||
Alibaba Cloud Managed Service for ClickHouse [China Site](https://www.aliyun.com/product/clickhouse) (Will be available at international site at May, 2021) provides the following key features:
|
||||
- Highly reliable cloud disk storage engine based on Alibaba Cloud Apsara distributed system
|
||||
- Expand capacity on demand without manual data migration
|
||||
Alibaba Cloud Managed Service for ClickHouse. [China Site](https://www.aliyun.com/product/clickhouse) (will be available at the international site in May 2021). Provides the following key features:
|
||||
|
||||
- Highly reliable cloud disk storage engine based on [Alibaba Cloud Apsara](https://www.alibabacloud.com/product/apsara-stack) distributed system
|
||||
- Expand capacity on-demand without manual data migration
|
||||
- Support single-node, single-replica, multi-node, and multi-replica architectures, and support hot and cold data tiering
|
||||
- Support access allow-list, one-key recovery, multi-layer network security protection, cloud disk encryption
|
||||
- Seamless integration with cloud log systems, databases, and data application tools
|
||||
|
||||
@ -5,43 +5,77 @@ toc_title: Build on Mac OS X
|
||||
|
||||
# How to Build ClickHouse on Mac OS X {#how-to-build-clickhouse-on-mac-os-x}
|
||||
|
||||
Build should work on Mac OS X 10.15 (Catalina).
|
||||
Build should work on x86_64 (Intel) based macOS 10.15 (Catalina) and higher with recent Xcode's native AppleClang, or Homebrew's vanilla Clang or GCC compilers.
|
||||
|
||||
## Install Homebrew {#install-homebrew}
|
||||
|
||||
``` bash
|
||||
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
|
||||
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
|
||||
```
|
||||
|
||||
## Install Xcode and Command Line Tools {#install-xcode-and-command-line-tools}
|
||||
|
||||
Install the latest [Xcode](https://apps.apple.com/am/app/xcode/id497799835?mt=12) from App Store.
|
||||
|
||||
Open it at least once to accept the end-user license agreement and automatically install the required components.
|
||||
|
||||
Then, make sure that the latest Comman Line Tools are installed and selected in the system:
|
||||
|
||||
``` bash
|
||||
$ sudo rm -rf /Library/Developer/CommandLineTools
|
||||
$ sudo xcode-select --install
|
||||
```
|
||||
|
||||
Reboot.
|
||||
|
||||
## Install Required Compilers, Tools, and Libraries {#install-required-compilers-tools-and-libraries}
|
||||
|
||||
``` bash
|
||||
$ brew install cmake ninja libtool gettext llvm
|
||||
$ brew update
|
||||
$ brew install cmake ninja libtool gettext llvm gcc
|
||||
```
|
||||
|
||||
## Checkout ClickHouse Sources {#checkout-clickhouse-sources}
|
||||
|
||||
``` bash
|
||||
$ git clone --recursive git@github.com:ClickHouse/ClickHouse.git
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
``` bash
|
||||
$ git clone --recursive https://github.com/ClickHouse/ClickHouse.git
|
||||
|
||||
$ cd ClickHouse
|
||||
$ git clone --recursive git@github.com:ClickHouse/ClickHouse.git # or https://github.com/ClickHouse/ClickHouse.git
|
||||
```
|
||||
|
||||
## Build ClickHouse {#build-clickhouse}
|
||||
|
||||
> Please note: ClickHouse doesn't support build with native Apple Clang compiler, we need use clang from LLVM.
|
||||
To build using Xcode's native AppleClang compiler:
|
||||
|
||||
``` bash
|
||||
$ cd ClickHouse
|
||||
$ rm -rf build
|
||||
$ mkdir build
|
||||
$ cd build
|
||||
$ cmake .. -DCMAKE_C_COMPILER=`brew --prefix llvm`/bin/clang -DCMAKE_CXX_COMPILER=`brew --prefix llvm`/bin/clang++ -DCMAKE_PREFIX_PATH=`brew --prefix llvm`
|
||||
$ ninja
|
||||
$ cmake -DCMAKE_BUILD_TYPE=RelWithDebInfo -DENABLE_JEMALLOC=OFF ..
|
||||
$ cmake --build . --config RelWithDebInfo
|
||||
$ cd ..
|
||||
```
|
||||
|
||||
To build using Homebrew's vanilla Clang compiler:
|
||||
|
||||
``` bash
|
||||
$ cd ClickHouse
|
||||
$ rm -rf build
|
||||
$ mkdir build
|
||||
$ cd build
|
||||
$ cmake -DCMAKE_C_COMPILER=$(brew --prefix llvm)/bin/clang -DCMAKE_CXX_COMPILER==$(brew --prefix llvm)/bin/clang++ -DCMAKE_BUILD_TYPE=RelWithDebInfo -DENABLE_JEMALLOC=OFF ..
|
||||
$ cmake --build . --config RelWithDebInfo
|
||||
$ cd ..
|
||||
```
|
||||
|
||||
To build using Homebrew's vanilla GCC compiler:
|
||||
|
||||
``` bash
|
||||
$ cd ClickHouse
|
||||
$ rm -rf build
|
||||
$ mkdir build
|
||||
$ cd build
|
||||
$ cmake -DCMAKE_C_COMPILER=$(brew --prefix gcc)/bin/gcc-10 -DCMAKE_CXX_COMPILER=$(brew --prefix gcc)/bin/g++-10 -DCMAKE_BUILD_TYPE=RelWithDebInfo -DENABLE_JEMALLOC=OFF ..
|
||||
$ cmake --build . --config RelWithDebInfo
|
||||
$ cd ..
|
||||
```
|
||||
|
||||
|
||||
@ -3,15 +3,52 @@ toc_priority: 32
|
||||
toc_title: Atomic
|
||||
---
|
||||
|
||||
|
||||
# Atomic {#atomic}
|
||||
|
||||
It supports non-blocking `DROP` and `RENAME TABLE` queries and atomic `EXCHANGE TABLES t1 AND t2` queries. `Atomic` database engine is used by default.
|
||||
It supports non-blocking [DROP TABLE](#drop-detach-table) and [RENAME TABLE](#rename-table) queries and atomic [EXCHANGE TABLES t1 AND t2](#exchange-tables) queries. `Atomic` database engine is used by default.
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
|
||||
```sql
|
||||
CREATE DATABASE test ENGINE = Atomic;
|
||||
``` sql
|
||||
CREATE DATABASE test[ ENGINE = Atomic];
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/engines/database-engines/atomic/) <!--hide-->
|
||||
## Specifics and recommendations {#specifics-and-recommendations}
|
||||
|
||||
### Table UUID {#table-uuid}
|
||||
|
||||
All tables in database `Atomic` have persistent [UUID](../../sql-reference/data-types/uuid.md) and store data in directory `/clickhouse_path/store/xxx/xxxyyyyy-yyyy-yyyy-yyyy-yyyyyyyyyyyy/`, where `xxxyyyyy-yyyy-yyyy-yyyy-yyyyyyyyyyyy` is UUID of the table.
|
||||
Usually, the UUID is generated automatically, but the user can also explicitly specify the UUID in the same way when creating the table (this is not recommended). To display the `SHOW CREATE` query with the UUID you can use setting [show_table_uuid_in_table_create_query_if_not_nil](../../operations/settings/settings.md#show_table_uuid_in_table_create_query_if_not_nil). For example:
|
||||
|
||||
```sql
|
||||
CREATE TABLE name UUID '28f1c61c-2970-457a-bffe-454156ddcfef' (n UInt64) ENGINE = ...;
|
||||
```
|
||||
### RENAME TABLE {#rename-table}
|
||||
|
||||
`RENAME` queries are performed without changing UUID and moving table data. These queries do not wait for the completion of queries using the table and will be executed instantly.
|
||||
|
||||
### DROP/DETACH TABLE {#drop-detach-table}
|
||||
|
||||
On `DROP TABLE` no data is removed, database `Atomic` just marks table as dropped by moving metadata to `/clickhouse_path/metadata_dropped/` and notifies background thread. Delay before final table data deletion is specify by [database_atomic_delay_before_drop_table_sec](../../operations/server-configuration-parameters/settings.md#database_atomic_delay_before_drop_table_sec) setting.
|
||||
You can specify synchronous mode using `SYNC` modifier. Use the [database_atomic_wait_for_drop_and_detach_synchronously](../../operations/settings/settings.md#database_atomic_wait_for_drop_and_detach_synchronously) setting to do this. In this case `DROP` waits for running `SELECT`, `INSERT` and other queries which are using the table to finish. Table will be actually removed when it's not in use.
|
||||
|
||||
### EXCHANGE TABLES {#exchange-tables}
|
||||
|
||||
`EXCHANGE` query swaps tables atomically. So instead of this non-atomic operation:
|
||||
|
||||
```sql
|
||||
RENAME TABLE new_table TO tmp, old_table TO new_table, tmp TO old_table;
|
||||
```
|
||||
you can use one atomic query:
|
||||
|
||||
``` sql
|
||||
EXCHANGE TABLES new_table AND old_table;
|
||||
```
|
||||
|
||||
### ReplicatedMergeTree in Atomic Database {#replicatedmergetree-in-atomic-database}
|
||||
|
||||
For [ReplicatedMergeTree](../table-engines/mergetree-family/replication.md#table_engines-replication) tables is recomended do not specify parameters of engine - path in ZooKeeper and replica name. In this case will be used parameters of the configuration [default_replica_path](../../operations/server-configuration-parameters/settings.md#default_replica_path) and [default_replica_name](../../operations/server-configuration-parameters/settings.md#default_replica_name). If you want specify parameters of engine explicitly than recomended to use {uuid} macros. This is useful so that unique paths are automatically generated for each table in the ZooKeeper.
|
||||
|
||||
## See Also
|
||||
|
||||
- [system.databases](../../operations/system-tables/databases.md) system table
|
||||
|
||||
@ -18,4 +18,8 @@ You can also use the following database engines:
|
||||
|
||||
- [Lazy](../../engines/database-engines/lazy.md)
|
||||
|
||||
- [Atomic](../../engines/database-engines/atomic.md)
|
||||
|
||||
- [PostgreSQL](../../engines/database-engines/postgresql.md)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/database_engines/) <!--hide-->
|
||||
|
||||
@ -69,7 +69,7 @@ MySQL DDL queries are converted into the corresponding ClickHouse DDL queries ([
|
||||
|
||||
- MySQL `INSERT` query is converted into `INSERT` with `_sign=1`.
|
||||
|
||||
- MySQl `DELETE` query is converted into `INSERT` with `_sign=-1`.
|
||||
- MySQL `DELETE` query is converted into `INSERT` with `_sign=-1`.
|
||||
|
||||
- MySQL `UPDATE` query is converted into `INSERT` with `_sign=-1` and `INSERT` with `_sign=1`.
|
||||
|
||||
|
||||
138
docs/en/engines/database-engines/postgresql.md
Normal file
138
docs/en/engines/database-engines/postgresql.md
Normal file
@ -0,0 +1,138 @@
|
||||
---
|
||||
toc_priority: 35
|
||||
toc_title: PostgreSQL
|
||||
---
|
||||
|
||||
# PostgreSQL {#postgresql}
|
||||
|
||||
Allows to connect to databases on a remote [PostgreSQL](https://www.postgresql.org) server. Supports read and write operations (`SELECT` and `INSERT` queries) to exchange data between ClickHouse and PostgreSQL.
|
||||
|
||||
Gives the real-time access to table list and table structure from remote PostgreSQL with the help of `SHOW TABLES` and `DESCRIBE TABLE` queries.
|
||||
|
||||
Supports table structure modifications (`ALTER TABLE ... ADD|DROP COLUMN`). If `use_table_cache` parameter (see the Engine Parameters below) it set to `1`, the table structure is cached and not checked for being modified, but can be updated with `DETACH` and `ATTACH` queries.
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
|
||||
``` sql
|
||||
CREATE DATABASE test_database
|
||||
ENGINE = PostgreSQL('host:port', 'database', 'user', 'password'[, `use_table_cache`]);
|
||||
```
|
||||
|
||||
**Engine Parameters**
|
||||
|
||||
- `host:port` — PostgreSQL server address.
|
||||
- `database` — Remote database name.
|
||||
- `user` — PostgreSQL user.
|
||||
- `password` — User password.
|
||||
- `use_table_cache` — Defines if the database table structure is cached or not. Optional. Default value: `0`.
|
||||
|
||||
## Data Types Support {#data_types-support}
|
||||
|
||||
| PostgerSQL | ClickHouse |
|
||||
|------------------|--------------------------------------------------------------|
|
||||
| DATE | [Date](../../sql-reference/data-types/date.md) |
|
||||
| TIMESTAMP | [DateTime](../../sql-reference/data-types/datetime.md) |
|
||||
| REAL | [Float32](../../sql-reference/data-types/float.md) |
|
||||
| DOUBLE | [Float64](../../sql-reference/data-types/float.md) |
|
||||
| DECIMAL, NUMERIC | [Decimal](../../sql-reference/data-types/decimal.md) |
|
||||
| SMALLINT | [Int16](../../sql-reference/data-types/int-uint.md) |
|
||||
| INTEGER | [Int32](../../sql-reference/data-types/int-uint.md) |
|
||||
| BIGINT | [Int64](../../sql-reference/data-types/int-uint.md) |
|
||||
| SERIAL | [UInt32](../../sql-reference/data-types/int-uint.md) |
|
||||
| BIGSERIAL | [UInt64](../../sql-reference/data-types/int-uint.md) |
|
||||
| TEXT, CHAR | [String](../../sql-reference/data-types/string.md) |
|
||||
| INTEGER | Nullable([Int32](../../sql-reference/data-types/int-uint.md))|
|
||||
| ARRAY | [Array](../../sql-reference/data-types/array.md) |
|
||||
|
||||
|
||||
## Examples of Use {#examples-of-use}
|
||||
|
||||
Database in ClickHouse, exchanging data with the PostgreSQL server:
|
||||
|
||||
``` sql
|
||||
CREATE DATABASE test_database
|
||||
ENGINE = PostgreSQL('postgres1:5432', 'test_database', 'postgres', 'mysecretpassword', 1);
|
||||
```
|
||||
|
||||
``` sql
|
||||
SHOW DATABASES;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─name──────────┐
|
||||
│ default │
|
||||
│ test_database │
|
||||
│ system │
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SHOW TABLES FROM test_database;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─name───────┐
|
||||
│ test_table │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
Reading data from the PostgreSQL table:
|
||||
|
||||
``` sql
|
||||
SELECT * FROM test_database.test_table;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─id─┬─value─┐
|
||||
│ 1 │ 2 │
|
||||
└────┴───────┘
|
||||
```
|
||||
|
||||
Writing data to the PostgreSQL table:
|
||||
|
||||
``` sql
|
||||
INSERT INTO test_database.test_table VALUES (3,4);
|
||||
SELECT * FROM test_database.test_table;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─int_id─┬─value─┐
|
||||
│ 1 │ 2 │
|
||||
│ 3 │ 4 │
|
||||
└────────┴───────┘
|
||||
```
|
||||
|
||||
Consider the table structure was modified in PostgreSQL:
|
||||
|
||||
``` sql
|
||||
postgre> ALTER TABLE test_table ADD COLUMN data Text
|
||||
```
|
||||
|
||||
As the `use_table_cache` parameter was set to `1` when the database was created, the table structure in ClickHouse was cached and therefore not modified:
|
||||
|
||||
``` sql
|
||||
DESCRIBE TABLE test_database.test_table;
|
||||
```
|
||||
``` text
|
||||
┌─name───┬─type──────────────┐
|
||||
│ id │ Nullable(Integer) │
|
||||
│ value │ Nullable(Integer) │
|
||||
└────────┴───────────────────┘
|
||||
```
|
||||
|
||||
After detaching the table and attaching it again, the structure was updated:
|
||||
|
||||
``` sql
|
||||
DETACH TABLE test_database.test_table;
|
||||
ATTACH TABLE test_database.test_table;
|
||||
DESCRIBE TABLE test_database.test_table;
|
||||
```
|
||||
``` text
|
||||
┌─name───┬─type──────────────┐
|
||||
│ id │ Nullable(Integer) │
|
||||
│ value │ Nullable(Integer) │
|
||||
│ data │ Nullable(String) │
|
||||
└────────┴───────────────────┘
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/database-engines/postgresql/) <!--hide-->
|
||||
@ -47,12 +47,17 @@ Engines for communicating with other data storage and processing systems.
|
||||
|
||||
Engines in the family:
|
||||
|
||||
- [Kafka](../../engines/table-engines/integrations/kafka.md#kafka)
|
||||
- [MySQL](../../engines/table-engines/integrations/mysql.md#mysql)
|
||||
- [ODBC](../../engines/table-engines/integrations/odbc.md#table-engine-odbc)
|
||||
- [JDBC](../../engines/table-engines/integrations/jdbc.md#table-engine-jdbc)
|
||||
- [HDFS](../../engines/table-engines/integrations/hdfs.md#hdfs)
|
||||
- [S3](../../engines/table-engines/integrations/s3.md#table-engine-s3)
|
||||
|
||||
- [ODBC](../../engines/table-engines/integrations/odbc.md)
|
||||
- [JDBC](../../engines/table-engines/integrations/jdbc.md)
|
||||
- [MySQL](../../engines/table-engines/integrations/mysql.md)
|
||||
- [MongoDB](../../engines/table-engines/integrations/mongodb.md)
|
||||
- [HDFS](../../engines/table-engines/integrations/hdfs.md)
|
||||
- [S3](../../engines/table-engines/integrations/s3.md)
|
||||
- [Kafka](../../engines/table-engines/integrations/kafka.md)
|
||||
- [EmbeddedRocksDB](../../engines/table-engines/integrations/embedded-rocksdb.md)
|
||||
- [RabbitMQ](../../engines/table-engines/integrations/rabbitmq.md)
|
||||
- [PostgreSQL](../../engines/table-engines/integrations/postgresql.md)
|
||||
|
||||
### Special Engines {#special-engines}
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 6
|
||||
toc_priority: 9
|
||||
toc_title: EmbeddedRocksDB
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 4
|
||||
toc_priority: 6
|
||||
toc_title: HDFS
|
||||
---
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
---
|
||||
toc_folder_title: Integrations
|
||||
toc_priority: 30
|
||||
toc_priority: 1
|
||||
---
|
||||
|
||||
# Table Engines for Integrations {#table-engines-for-integrations}
|
||||
@ -19,5 +19,3 @@ List of supported integrations:
|
||||
- [EmbeddedRocksDB](../../../engines/table-engines/integrations/embedded-rocksdb.md)
|
||||
- [RabbitMQ](../../../engines/table-engines/integrations/rabbitmq.md)
|
||||
- [PostgreSQL](../../../engines/table-engines/integrations/postgresql.md)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/engines/table-engines/integrations/) <!--hide-->
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 2
|
||||
toc_priority: 3
|
||||
toc_title: JDBC
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 5
|
||||
toc_priority: 8
|
||||
toc_title: Kafka
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 7
|
||||
toc_priority: 5
|
||||
toc_title: MongoDB
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 3
|
||||
toc_priority: 4
|
||||
toc_title: MySQL
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 1
|
||||
toc_priority: 2
|
||||
toc_title: ODBC
|
||||
---
|
||||
|
||||
|
||||
@ -1,11 +1,11 @@
|
||||
---
|
||||
toc_priority: 8
|
||||
toc_priority: 11
|
||||
toc_title: PostgreSQL
|
||||
---
|
||||
|
||||
# PosgtreSQL {#postgresql}
|
||||
# PostgreSQL {#postgresql}
|
||||
|
||||
The PostgreSQL engine allows you to perform `SELECT` queries on data that is stored on a remote PostgreSQL server.
|
||||
The PostgreSQL engine allows to perform `SELECT` and `INSERT` queries on data that is stored on a remote PostgreSQL server.
|
||||
|
||||
## Creating a Table {#creating-a-table}
|
||||
|
||||
@ -15,7 +15,7 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1] [TTL expr1],
|
||||
name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2] [TTL expr2],
|
||||
...
|
||||
) ENGINE = PostgreSQL('host:port', 'database', 'table', 'user', 'password');
|
||||
) ENGINE = PostgreSQL('host:port', 'database', 'table', 'user', 'password'[, `schema`]);
|
||||
```
|
||||
|
||||
See a detailed description of the [CREATE TABLE](../../../sql-reference/statements/create/table.md#create-table-query) query.
|
||||
@ -29,25 +29,51 @@ The table structure can differ from the original PostgreSQL table structure:
|
||||
**Engine Parameters**
|
||||
|
||||
- `host:port` — PostgreSQL server address.
|
||||
|
||||
- `database` — Remote database name.
|
||||
|
||||
- `table` — Remote table name.
|
||||
|
||||
- `user` — PostgreSQL user.
|
||||
|
||||
- `password` — User password.
|
||||
- `schema` — Non-default table schema. Optional.
|
||||
|
||||
SELECT Queries on PostgreSQL side run as `COPY (SELECT ...) TO STDOUT` inside read-only PostgreSQL transaction with commit after each `SELECT` query.
|
||||
## Implementation Details {#implementation-details}
|
||||
|
||||
Simple `WHERE` clauses such as `=, !=, >, >=, <, <=, IN` are executed on the PostgreSQL server.
|
||||
`SELECT` queries on PostgreSQL side run as `COPY (SELECT ...) TO STDOUT` inside read-only PostgreSQL transaction with commit after each `SELECT` query.
|
||||
|
||||
Simple `WHERE` clauses such as `=`, `!=`, `>`, `>=`, `<`, `<=`, and `IN` are executed on the PostgreSQL server.
|
||||
|
||||
All joins, aggregations, sorting, `IN [ array ]` conditions and the `LIMIT` sampling constraint are executed in ClickHouse only after the query to PostgreSQL finishes.
|
||||
|
||||
INSERT Queries on PostgreSQL side run as `COPY "table_name" (field1, field2, ... fieldN) FROM STDIN` inside PostgreSQL transaction with auto-commit after each `INSERT` statement.
|
||||
`INSERT` queries on PostgreSQL side run as `COPY "table_name" (field1, field2, ... fieldN) FROM STDIN` inside PostgreSQL transaction with auto-commit after each `INSERT` statement.
|
||||
|
||||
PostgreSQL Array types converts into ClickHouse arrays.
|
||||
Be careful in PostgreSQL an array data created like a type_name[] may contain multi-dimensional arrays of different dimensions in different table rows in same column, but in ClickHouse it is only allowed to have multidimensional arrays of the same count of dimensions in all table rows in same column.
|
||||
PostgreSQL `Array` types are converted into ClickHouse arrays.
|
||||
|
||||
!!! info "Note"
|
||||
Be careful - in PostgreSQL an array data, created like a `type_name[]`, may contain multi-dimensional arrays of different dimensions in different table rows in same column. But in ClickHouse it is only allowed to have multidimensional arrays of the same count of dimensions in all table rows in same column.
|
||||
|
||||
Replicas priority for PostgreSQL dictionary source is supported. The bigger the number in map, the less the priority. The highest priority is `0`.
|
||||
|
||||
In the example below replica `example01-1` has the highest priority:
|
||||
|
||||
```xml
|
||||
<postgresql>
|
||||
<port>5432</port>
|
||||
<user>clickhouse</user>
|
||||
<password>qwerty</password>
|
||||
<replica>
|
||||
<host>example01-1</host>
|
||||
<priority>1</priority>
|
||||
</replica>
|
||||
<replica>
|
||||
<host>example01-2</host>
|
||||
<priority>2</priority>
|
||||
</replica>
|
||||
<db>db_name</db>
|
||||
<table>table_name</table>
|
||||
<where>id=10</where>
|
||||
<invalidate_query>SQL_QUERY</invalidate_query>
|
||||
</postgresql>
|
||||
</source>
|
||||
```
|
||||
|
||||
## Usage Example {#usage-example}
|
||||
|
||||
@ -64,10 +90,10 @@ PRIMARY KEY (int_id));
|
||||
|
||||
CREATE TABLE
|
||||
|
||||
postgres=# insert into test (int_id, str, "float") VALUES (1,'test',2);
|
||||
postgres=# INSERT INTO test (int_id, str, "float") VALUES (1,'test',2);
|
||||
INSERT 0 1
|
||||
|
||||
postgresql> select * from test;
|
||||
postgresql> SELECT * FROM test;
|
||||
int_id | int_nullable | float | str | float_nullable
|
||||
--------+--------------+-------+------+----------------
|
||||
1 | | 2 | test |
|
||||
@ -87,20 +113,33 @@ ENGINE = PostgreSQL('localhost:5432', 'public', 'test', 'postges_user', 'postgre
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT * FROM postgresql_table WHERE str IN ('test')
|
||||
SELECT * FROM postgresql_table WHERE str IN ('test');
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─float_nullable─┬─str──┬─int_id─┐
|
||||
│ ᴺᵁᴸᴸ │ test │ 1 │
|
||||
└────────────────┴──────┴────────┘
|
||||
1 rows in set. Elapsed: 0.019 sec.
|
||||
```
|
||||
|
||||
Using Non-default Schema:
|
||||
|
||||
## See Also {#see-also}
|
||||
```text
|
||||
postgres=# CREATE SCHEMA "nice.schema";
|
||||
|
||||
- [The ‘postgresql’ table function](../../../sql-reference/table-functions/postgresql.md)
|
||||
postgres=# CREATE TABLE "nice.schema"."nice.table" (a integer);
|
||||
|
||||
postgres=# INSERT INTO "nice.schema"."nice.table" SELECT i FROM generate_series(0, 99) as t(i)
|
||||
```
|
||||
|
||||
```sql
|
||||
CREATE TABLE pg_table_schema_with_dots (a UInt32)
|
||||
ENGINE PostgreSQL('localhost:5432', 'clickhouse', 'nice.table', 'postgrsql_user', 'password', 'nice.schema');
|
||||
```
|
||||
|
||||
**See Also**
|
||||
|
||||
- [The `postgresql` table function](../../../sql-reference/table-functions/postgresql.md)
|
||||
- [Using PostgreSQL as a source of external dictionary](../../../sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources.md#dicts-external_dicts_dict_sources-postgresql)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/engines/table-engines/integrations/postgresql/) <!--hide-->
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 6
|
||||
toc_priority: 10
|
||||
toc_title: RabbitMQ
|
||||
---
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 4
|
||||
toc_priority: 7
|
||||
toc_title: S3
|
||||
---
|
||||
|
||||
|
||||
@ -3,7 +3,7 @@ toc_priority: 35
|
||||
toc_title: AggregatingMergeTree
|
||||
---
|
||||
|
||||
# Aggregatingmergetree {#aggregatingmergetree}
|
||||
# AggregatingMergeTree {#aggregatingmergetree}
|
||||
|
||||
The engine inherits from [MergeTree](../../../engines/table-engines/mergetree-family/mergetree.md#table_engines-mergetree), altering the logic for data parts merging. ClickHouse replaces all rows with the same primary key (or more accurately, with the same [sorting key](../../../engines/table-engines/mergetree-family/mergetree.md)) with a single row (within a one data part) that stores a combination of states of aggregate functions.
|
||||
|
||||
|
||||
@ -23,6 +23,7 @@ toc_title: Client Libraries
|
||||
- [SeasClick C++ client](https://github.com/SeasX/SeasClick)
|
||||
- [one-ck](https://github.com/lizhichao/one-ck)
|
||||
- [glushkovds/phpclickhouse-laravel](https://packagist.org/packages/glushkovds/phpclickhouse-laravel)
|
||||
- [kolya7k ClickHouse PHP extension](https://github.com//kolya7k/clickhouse-php)
|
||||
- Go
|
||||
- [clickhouse](https://github.com/kshvakov/clickhouse/)
|
||||
- [go-clickhouse](https://github.com/roistat/go-clickhouse)
|
||||
|
||||
@ -12,9 +12,13 @@ toc_title: Adopters
|
||||
|---------|----------|---------|--------------|------------------------------------------------------------------------------|-----------|
|
||||
| <a href="https://2gis.ru" class="favicon">2gis</a> | Maps | Monitoring | — | — | [Talk in Russian, July 2019](https://youtu.be/58sPkXfq6nw) |
|
||||
| <a href="https://getadmiral.com/" class="favicon">Admiral</a> | Martech | Engagement Management | — | — | [Webinar Slides, June 2020](https://altinity.com/presentations/2020/06/16/big-data-in-real-time-how-clickhouse-powers-admirals-visitor-relationships-for-publishers) |
|
||||
| <a href="http://www.adscribe.tv/" class="favicon">AdScribe</a> | Ads | TV Analytics | — | — | [A quote from CTO](https://altinity.com/24x7-support/) |
|
||||
| <a href="https://ahrefs.com/" class="favicon">Ahrefs</a> | SEO | Analytics | — | — | [Job listing](https://ahrefs.com/jobs/data-scientist-search) |
|
||||
| <a href="https://cn.aliyun.com/" class="favicon">Alibaba Cloud</a> | Cloud | Managed Service | — | — | [Official Website](https://help.aliyun.com/product/144466.html) |
|
||||
| <a href="https://alohabrowser.com/" class="favicon">Aloha Browser</a> | Mobile App | Browser backend | — | — | [Slides in Russian, May 2019](https://presentations.clickhouse.tech/meetup22/aloha.pdf) |
|
||||
| <a href="https://altinity.com/" class="favicon">Altinity</a> | Cloud, SaaS | Main product | — | — | [Official Website](https://altinity.com/) |
|
||||
| <a href="https://amadeus.com/" class="favicon">Amadeus</a> | Travel | Analytics | — | — | [Press Release, April 2018](https://www.altinity.com/blog/2018/4/5/amadeus-technologies-launches-investment-and-insights-tool-based-on-machine-learning-and-strategy-algorithms) |
|
||||
| <a href="https://apiroad.net/" class="favicon">ApiRoad</a> | API marketplace | Analytics | — | — | [Blog post, Nov 2018, Mar 2020](https://pixeljets.com/blog/clickhouse-vs-elasticsearch/) |
|
||||
| <a href="https://www.appsflyer.com" class="favicon">Appsflyer</a> | Mobile analytics | Main product | — | — | [Talk in Russian, July 2019](https://www.youtube.com/watch?v=M3wbRlcpBbY) |
|
||||
| <a href="https://arenadata.tech/" class="favicon">ArenaData</a> | Data Platform | Main product | — | — | [Slides in Russian, December 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup38/indexes.pdf) |
|
||||
| <a href="https://avito.ru/" class="favicon">Avito</a> | Classifieds | Monitoring | — | — | [Meetup, April 2020](https://www.youtube.com/watch?v=n1tm4j4W8ZQ) |
|
||||
@ -37,6 +41,7 @@ toc_title: Adopters
|
||||
| <a href="https://www.creditx.com" class="favicon">CraiditX 氪信</a> | Finance AI | Analysis | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/udf.pptx) |
|
||||
| <a href="https://crazypanda.ru/en/" class="favicon">Crazypanda</a> | Games | | — | — | Live session on ClickHouse meetup |
|
||||
| <a href="https://www.criteo.com/" class="favicon">Criteo</a> | Retail | Main product | — | — | [Slides in English, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup18/3_storetail.pptx) |
|
||||
| <a href="https://cryptology.com/" class="favicon">Cryptology</a> | Digital Assets Trading Platform | — | — | — | [Job advertisement, March 2021](https://career.habr.com/companies/cryptology/vacancies) |
|
||||
| <a href="https://www.chinatelecomglobal.com/" class="favicon">Dataliance for China Telecom</a> | Telecom | Analytics | — | — | [Slides in Chinese, January 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup12/telecom.pdf) |
|
||||
| <a href="https://db.com" class="favicon">Deutsche Bank</a> | Finance | BI Analytics | — | — | [Slides in English, October 2019](https://bigdatadays.ru/wp-content/uploads/2019/10/D2-H3-3_Yakunin-Goihburg.pdf) |
|
||||
| <a href="https://deeplay.io/eng/" class="favicon">Deeplay</a> | Gaming Analytics | — | — | — | [Job advertisement, 2020](https://career.habr.com/vacancies/1000062568) |
|
||||
@ -49,11 +54,13 @@ toc_title: Adopters
|
||||
| <a href="https://fun.co/rp" class="favicon">FunCorp</a> | Games | | — | 14 bn records/day as of Jan 2021 | [Article](https://www.altinity.com/blog/migrating-from-redshift-to-clickhouse) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">Geniee</a> | Ad network | Main product | — | — | [Blog post in Japanese, July 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.genotek.ru/" class="favicon">Genotek</a> | Bioinformatics | Main product | — | — | [Video, August 2020](https://youtu.be/v3KyZbz9lEE) |
|
||||
| <a href="https://glaber.io/" class="favicon">Glaber</a> | Monitoring | Main product | — | — | [Website](https://glaber.io/) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | Video Streaming | Analytics | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.the-ica.com/" class="favicon">ICA</a> | FinTech | Risk Management | — | — | [Blog Post in English, Sep 2020](https://altinity.com/blog/clickhouse-vs-redshift-performance-for-fintech-risk-management?utm_campaign=ClickHouse%20vs%20RedShift&utm_content=143520807&utm_medium=social&utm_source=twitter&hss_channel=tw-3894792263) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Real Estate | Analytics | — | — | [Blog Post in English, April 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">Infovista</a> | Networks | Analytics | — | — | [Slides in English, October 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">InnoGames</a> | Games | Metrics, Logging | — | — | [Slides in Russian, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://instabug.com/" class="favicon">Instabug</a> | APM Platform | Main product | — | — | [A quote from Co-Founder](https://altinity.com/) |
|
||||
| <a href="https://www.instana.com" class="favicon">Instana</a> | APM Platform | Main product | — | — | [Twitter post](https://twitter.com/mieldonkers/status/1248884119158882304) |
|
||||
| <a href="https://integros.com" class="favicon">Integros</a> | Platform for video services | Analytics | — | — | [Slides in Russian, May 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
| <a href="https://ippon.tech" class="favicon">Ippon Technologies</a> | Technology Consulting | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=205) |
|
||||
@ -65,15 +72,19 @@ toc_title: Adopters
|
||||
| <a href="https://www.lbl.gov" class="favicon">Lawrence Berkeley National Laboratory</a> | Research | Traffic analysis | 1 server | 11.8 TiB | [Slides in English, April 2019](https://www.smitasin.com/presentations/2019-04-17_DOE-NSM.pdf) |
|
||||
| <a href="https://lifestreet.com/" class="favicon">LifeStreet</a> | Ad network | Main product | 75 servers (3 replicas) | 5.27 PiB | [Blog post in Russian, February 2017](https://habr.com/en/post/322620/) |
|
||||
| <a href="https://mcs.mail.ru/" class="favicon">Mail.ru Cloud Solutions</a> | Cloud services | Main product | — | — | [Article in Russian](https://mcs.mail.ru/help/db-create/clickhouse#) |
|
||||
| <a href="https://maxilect.com/" class="favicon">MAXILECT</a> | Ad Tech, Blockchain, ML, AI | — | — | — | [Job advertisement, 2021](https://www.linkedin.com/feed/update/urn:li:activity:6780842017229430784/) |
|
||||
| <a href="https://tech.mymarilyn.ru" class="favicon">Marilyn</a> | Advertising | Statistics | — | — | [Talk in Russian, June 2017](https://www.youtube.com/watch?v=iXlIgx2khwc) |
|
||||
| <a href="https://mellodesign.ru/" class="favicon">Mello</a> | Marketing | Analytics | 1 server | — | [Article, Oct 2020](https://vc.ru/marketing/166180-razrabotka-tipovogo-otcheta-skvoznoy-analitiki) |
|
||||
| <a href="https://www.messagebird.com" class="favicon">MessageBird</a> | Telecommunications | Statistics | — | — | [Slides in English, November 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup20/messagebird.pdf) |
|
||||
| <a href="https://www.mindsdb.com/" class="favicon">MindsDB</a> | Machine Learning | Main Product | — | — | [Official Website](https://www.mindsdb.com/blog/machine-learning-models-as-tables-in-ch) |x
|
||||
| <a href="https://mux.com/" class="favicon">MUX</a> | Online Video | Video Analytics | — | — | [Talk in English, August 2019](https://altinity.com/presentations/2019/8/13/how-clickhouse-became-the-default-analytics-database-for-mux/) |
|
||||
| <a href="https://www.mgid.com/" class="favicon">MGID</a> | Ad network | Web-analytics | — | — | [Blog post in Russian, April 2020](http://gs-studio.com/news-about-it/32777----clickhouse---c) |
|
||||
| <a href="https://www.netskope.com/" class="favicon">Netskope</a> | Network Security | — | — | — | [Job advertisement, March 2021](https://www.mendeley.com/careers/job/senior-software-developer-backend-developer-1346348) |
|
||||
| <a href="https://niclabs.cl/" class="favicon">NIC Labs</a> | Network Monitoring | RaTA-DNS | — | — | [Blog post, March 2021](https://niclabs.cl/ratadns/2021/03/Clickhouse) |
|
||||
| <a href="https://getnoc.com/" class="favicon">NOC Project</a> | Network Monitoring | Analytics | Main Product | — | [Official Website](https://getnoc.com/features/big-data/) |
|
||||
| <a href="https://www.nuna.com/" class="favicon">Nuna Inc.</a> | Health Data Analytics | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=170) |
|
||||
| <a href="https://www.oneapm.com/" class="favicon">OneAPM</a> | Monitorings and Data Analysis | Main product | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/8.%20clickhouse在OneAPM的应用%20杜龙.pdf) |
|
||||
| <a href="https://corp.ozon.com/" class="favicon">OZON</a> | E-commerce | — | — | — | [Official website](https://job.ozon.ru/vacancy/razrabotchik-clickhouse-ekspluatatsiya-40991870/) |
|
||||
| <a href="https://panelbear.com/" class="favicon">Panelbear | Analytics | Monitoring and Analytics | — | — | [Tech Stack, November 2020](https://panelbear.com/blog/tech-stack/) |
|
||||
| <a href="https://www.percent.cn/" class="favicon">Percent 百分点</a> | Analytics | Main Product | — | — | [Slides in Chinese, June 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup24/4.%20ClickHouse万亿数据双中心的设计与实践%20.pdf) |
|
||||
| <a href="https://www.percona.com/" class="favicon">Percona</a> | Performance analysis | Percona Monitoring and Management | — | — | [Official website, Mar 2020](https://www.percona.com/blog/2020/03/30/advanced-query-analysis-in-percona-monitoring-and-management-with-direct-clickhouse-access/) |
|
||||
@ -90,14 +101,17 @@ toc_title: Adopters
|
||||
| <a href="https://rspamd.com/" class="favicon">Rspamd</a> | Antispam | Analytics | — | — | [Official Website](https://rspamd.com/doc/modules/clickhouse.html) |
|
||||
| <a href="https://rusiem.com/en" class="favicon">RuSIEM</a> | SIEM | Main Product | — | — | [Official Website](https://rusiem.com/en/products/architecture) |
|
||||
| <a href="https://www.s7.ru" class="favicon">S7 Airlines</a> | Airlines | Metrics, Logging | — | — | [Talk in Russian, March 2019](https://www.youtube.com/watch?v=nwG68klRpPg&t=15s) |
|
||||
| <a href="https://www.sberbank.com/index" class="favicon">Sber</a> | Banking, Fintech, Retail, Cloud, Media | — | — | — | [Job advertisement, March 2021](https://career.habr.com/vacancies/1000073536) |
|
||||
| <a href="https://www.scireum.de/" class="favicon">scireum GmbH</a> | e-Commerce | Main product | — | — | [Talk in German, February 2020](https://www.youtube.com/watch?v=7QWAn5RbyR4) |
|
||||
| <a href="https://segment.com/" class="favicon">Segment</a> | Data processing | Main product | 9 * i3en.3xlarge nodes 7.5TB NVME SSDs, 96GB Memory, 12 vCPUs | — | [Slides, 2019](https://slides.com/abraithwaite/segment-clickhouse) |
|
||||
| <a href="https://sembot.io/" class="favicon">sembot.io</a> | Shopping Ads | — | — | — | A comment on LinkedIn, 2020 |
|
||||
| <a href="https://www.semrush.com/" class="favicon">SEMrush</a> | Marketing | Main product | — | — | [Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/5_semrush.pdf) |
|
||||
| <a href="https://sentry.io/" class="favicon">Sentry</a> | Software Development | Main product | — | — | [Blog Post in English, May 2019](https://blog.sentry.io/2019/05/16/introducing-snuba-sentrys-new-search-infrastructure) |
|
||||
| <a href="https://seo.do/" class="favicon">seo.do</a> | Analytics | Main product | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup35/CH%20Presentation-%20Metehan%20Çetinkaya.pdf) |
|
||||
| <a href="http://www.sgk.gov.tr/wps/portal/sgk/tr" class="favicon">SGK</a> | Goverment Social Security | Analytics | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup35/ClickHouse%20Meetup-Ramazan%20POLAT.pdf) |
|
||||
| <a href="http://english.sina.com/index.html" class="favicon">Sina</a> | News | — | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/6.%20ClickHouse最佳实践%20高鹏_新浪.pdf) |
|
||||
| <a href="https://smi2.ru/" class="favicon">SMI2</a> | News | Analytics | — | — | [Blog Post in Russian, November 2017](https://habr.com/ru/company/smi2/blog/314558/) |
|
||||
| <a href="https://www.spark.co.nz/" class="favicon">Spark New Zealand</a> | Telecommunications | Security Operations | — | — | [Blog Post, Feb 2020](https://blog.n0p.me/2020/02/2020-02-05-dnsmonster/) |
|
||||
| <a href="https://www.splunk.com/" class="favicon">Splunk</a> | Business Analytics | Main product | — | — | [Slides in English, January 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup12/splunk.pdf) |
|
||||
| <a href="https://www.spotify.com" class="favicon">Spotify</a> | Music | Experimentation | — | — | [Slides, July 2018](https://www.slideshare.net/glebus/using-clickhouse-for-experimentation-104247173) |
|
||||
| <a href="https://www.staffcop.ru/" class="favicon">Staffcop</a> | Information Security | Main Product | — | — | [Official website, Documentation](https://www.staffcop.ru/sce43) |
|
||||
@ -106,23 +120,31 @@ toc_title: Adopters
|
||||
| <a href="https://www.tencent.com" class="favicon">Tencent</a> | Big Data | Data processing | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/5.%20ClickHouse大数据集群应用_李俊飞腾讯网媒事业部.pdf) |
|
||||
| <a href="https://www.tencent.com" class="favicon">Tencent</a> | Messaging | Logging | — | — | [Talk in Chinese, November 2019](https://youtu.be/T-iVQRuw-QY?t=5050) |
|
||||
| <a href="https://www.tencentmusic.com/" class="favicon">Tencent Music Entertainment (TME)</a> | BigData | Data processing | — | — | [Blog in Chinese, June 2020](https://cloud.tencent.com/developer/article/1637840) |
|
||||
| <a href="https://www.tinybird.co/" class="favicon">Tinybird</a> | Real-time Data Products | Data processing | — | — | [Official website](https://www.tinybird.co/) |
|
||||
| <a href="https://trafficstars.com/" class="favicon">Traffic Stars</a> | AD network | — | — | — | [Slides in Russian, May 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup15/lightning/ninja.pdf) |
|
||||
| <a href="https://www.uber.com" class="favicon">Uber</a> | Taxi | Logging | — | — | [Slides, February 2020](https://presentations.clickhouse.tech/meetup40/uber.pdf) |
|
||||
| <a href="https://hello.utmstat.com/" class="favicon">UTMSTAT</a> | Analytics | Main product | — | — | [Blog post, June 2020](https://vc.ru/tribuna/133956-striming-dannyh-iz-servisa-skvoznoy-analitiki-v-clickhouse) |
|
||||
| <a href="https://vk.com" class="favicon">VKontakte</a> | Social Network | Statistics, Logging | — | — | [Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/3_vk.pdf) |
|
||||
| <a href="https://www.vmware.com/" class="favicon">VMWare</a> | Cloud | VeloCloud, SDN | — | — | [Product documentation](https://docs.vmware.com/en/vRealize-Operations-Manager/8.3/com.vmware.vcom.metrics.doc/GUID-A9AD72E1-C948-4CA2-971B-919385AB3CA8.html) |
|
||||
| <a href="https://www.walmartlabs.com/" class="favicon">Walmart Labs</a> | Internet, Retail | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=144) |
|
||||
| <a href="https://wargaming.com/en/" class="favicon">Wargaming</a> | Games | | — | — | [Interview](https://habr.com/en/post/496954/) |
|
||||
| <a href="https://www.wildberries.ru/" class="favicon">Wildberries</a> | E-commerce | | — | — | [Official website](https://it.wildberries.ru/) |
|
||||
| <a href="https://wisebits.com/" class="favicon">Wisebits</a> | IT Solutions | Analytics | — | — | [Slides in Russian, May 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
| <a href="https://www.workato.com/" class="favicon">Workato</a> | Automation Software | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=334) |
|
||||
| <a href="https://xenoss.io/" class="favicon">Xenoss</a> | Marketing, Advertising | — | — | — | [Instagram, March 2021](https://www.instagram.com/p/CNATV7qBgB1/) |
|
||||
| <a href="http://www.xiaoxintech.cn/" class="favicon">Xiaoxin Tech</a> | Education | Common purpose | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/sync-clickhouse-with-mysql-mongodb.pptx) |
|
||||
| <a href="https://www.ximalaya.com/" class="favicon">Ximalaya</a> | Audio sharing | OLAP | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/ximalaya.pdf) |
|
||||
| <a href="https://cloud.yandex.ru/services/managed-clickhouse" class="favicon">Yandex Cloud</a> | Public Cloud | Main product | — | — | [Talk in Russian, December 2019](https://www.youtube.com/watch?v=pgnak9e_E0o) |
|
||||
| <a href="https://cloud.yandex.ru/services/datalens" class="favicon">Yandex DataLens</a> | Business Intelligence | Main product | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.tech/meetup38/datalens.pdf) |
|
||||
| <a href="https://market.yandex.ru/" class="favicon">Yandex Market</a> | e-Commerce | Metrics, Logging | — | — | [Talk in Russian, January 2019](https://youtu.be/_l1qP0DyBcA?t=478) |
|
||||
| <a href="https://metrica.yandex.com" class="favicon">Yandex Metrica</a> | Web analytics | Main product | 630 servers in one cluster, 360 servers in another cluster, 1862 servers in one department | 133 PiB / 8.31 PiB / 120 trillion records | [Slides, February 2020](https://presentations.clickhouse.tech/meetup40/introduction/#13) |
|
||||
| <a href="https://www.yotascale.com/" class="favicon">Yotascale</a> | Cloud | Data pipeline | — | 2 bn records/day | [LinkedIn (Accomplishments)](https://www.linkedin.com/in/adilsaleem/) |
|
||||
| <a href="https://htc-cs.ru/" class="favicon">ЦВТ</a> | Software Development | Metrics, Logging | — | — | [Blog Post, March 2019, in Russian](https://vc.ru/dev/62715-kak-my-stroili-monitoring-na-prometheus-clickhouse-i-elk) |
|
||||
| <a href="https://mkb.ru/" class="favicon">МКБ</a> | Bank | Web-system monitoring | — | — | [Slides in Russian, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/mkb.pdf) |
|
||||
| <a href="https://cft.ru/" class="favicon">ЦФТ</a> | Banking, Financial products, Payments | — | — | — | [Meetup in Russian, April 2020](https://team.cft.ru/events/162) |
|
||||
| <a href="https://promo.croc.ru/digitalworker" class="favicon">Цифровой Рабочий</a> | Industrial IoT, Analytics | — | — | — | [Blog post in Russian, March 2021](https://habr.com/en/company/croc/blog/548018/) |
|
||||
| <a href="https://www.kakaocorp.com/" class="favicon">kakaocorp</a> | Internet company | — | — | — | [if(kakao)2020 conference](https://if.kakao.com/session/117) |
|
||||
| <a href="https://shop.okraina.ru/" class="favicon">ООО «МПЗ Богородский»</a> | Agriculture | — | — | — | [Article in Russian, November 2020](https://cloud.yandex.ru/cases/okraina) |
|
||||
| <a href="https://www.tesla.com/" class="favicon">Tesla</a> | Electric vehicle and clean energy company | — | — | — | [Vacancy description, March 2021](https://news.ycombinator.com/item?id=26306170) |
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/introduction/adopters/) <!--hide-->
|
||||
|
||||
@ -100,6 +100,11 @@ Default value: `1073741824` (1 GB).
|
||||
<size_limit>1073741824</size_limit>
|
||||
</core_dump>
|
||||
```
|
||||
## database_atomic_delay_before_drop_table_sec {#database_atomic_delay_before_drop_table_sec}
|
||||
|
||||
Sets the delay before remove table data in seconds. If the query has `SYNC` modifier, this setting is ignored.
|
||||
|
||||
Default value: `480` (8 minute).
|
||||
|
||||
## default_database {#default-database}
|
||||
|
||||
@ -125,6 +130,25 @@ Settings profiles are located in the file specified in the parameter `user_confi
|
||||
<default_profile>default</default_profile>
|
||||
```
|
||||
|
||||
## default_replica_path {#default_replica_path}
|
||||
|
||||
The path to the table in ZooKeeper.
|
||||
|
||||
**Example**
|
||||
|
||||
``` xml
|
||||
<default_replica_path>/clickhouse/tables/{uuid}/{shard}</default_replica_path>
|
||||
```
|
||||
## default_replica_name {#default_replica_name}
|
||||
|
||||
The replica name in ZooKeeper.
|
||||
|
||||
**Example**
|
||||
|
||||
``` xml
|
||||
<default_replica_name>{replica}</default_replica_name>
|
||||
```
|
||||
|
||||
## dictionaries_config {#server_configuration_parameters-dictionaries_config}
|
||||
|
||||
The path to the config file for external dictionaries.
|
||||
@ -502,7 +526,15 @@ On hosts with low RAM and swap, you possibly need setting `max_server_memory_usa
|
||||
|
||||
## max_concurrent_queries {#max-concurrent-queries}
|
||||
|
||||
The maximum number of simultaneously processed requests.
|
||||
The maximum number of simultaneously processed queries related to MergeTree table. Queries may be limited by other settings: [max_concurrent_queries_for_all_users](#max-concurrent-queries-for-all-users), [min_marks_to_honor_max_concurrent_queries](#min-marks-to-honor-max-concurrent-queries).
|
||||
|
||||
!!! info "Note"
|
||||
These settings can be modified at runtime and will take effect immediately. Queries that are already running will remain unchanged.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Positive integer.
|
||||
- 0 — Disabled.
|
||||
|
||||
**Example**
|
||||
|
||||
@ -530,6 +562,21 @@ Default value: `0` that means no limit.
|
||||
|
||||
- [max_concurrent_queries](#max-concurrent-queries)
|
||||
|
||||
## min_marks_to_honor_max_concurrent_queries {#min-marks-to-honor-max-concurrent-queries}
|
||||
|
||||
The minimal number of marks read by the query for applying the [max_concurrent_queries](#max-concurrent-queries) setting.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Positive integer.
|
||||
- 0 — Disabled.
|
||||
|
||||
**Example**
|
||||
|
||||
``` xml
|
||||
<min_marks_to_honor_max_concurrent_queries>10</min_marks_to_honor_max_concurrent_queries>
|
||||
```
|
||||
|
||||
## max_connections {#max-connections}
|
||||
|
||||
The maximum number of inbound connections.
|
||||
|
||||
@ -769,6 +769,38 @@ Example:
|
||||
log_query_threads=1
|
||||
```
|
||||
|
||||
## log_comment {#settings-log-comment}
|
||||
|
||||
Specifies the value for the `log_comment` field of the [system.query_log](../system-tables/query_log.md) table and comment text for the server log.
|
||||
|
||||
It can be used to improve the readability of server logs. Additionally, it helps to select queries related to the test from the `system.query_log` after running [clickhouse-test](../../development/tests.md).
|
||||
|
||||
Possible values:
|
||||
|
||||
- Any string no longer than [max_query_size](#settings-max_query_size). If length is exceeded, the server throws an exception.
|
||||
|
||||
Default value: empty string.
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SET log_comment = 'log_comment test', log_queries = 1;
|
||||
SELECT 1;
|
||||
SYSTEM FLUSH LOGS;
|
||||
SELECT type, query FROM system.query_log WHERE log_comment = 'log_comment test' AND event_date >= yesterday() ORDER BY event_time DESC LIMIT 2;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─type────────┬─query─────┐
|
||||
│ QueryStart │ SELECT 1; │
|
||||
│ QueryFinish │ SELECT 1; │
|
||||
└─────────────┴───────────┘
|
||||
```
|
||||
|
||||
## max_insert_block_size {#settings-max_insert_block_size}
|
||||
|
||||
The size of blocks (in a count of rows) to form for insertion into a table.
|
||||
@ -1514,6 +1546,14 @@ FORMAT PrettyCompactMonoBlock
|
||||
|
||||
Default value: 0
|
||||
|
||||
## optimize_skip_unused_shards_limit {#optimize-skip-unused-shards-limit}
|
||||
|
||||
Limit for number of sharding key values, turns off `optimize_skip_unused_shards` if the limit is reached.
|
||||
|
||||
Too many values may require significant amount for processing, while the benefit is doubtful, since if you have huge number of values in `IN (...)`, then most likely the query will be sent to all shards anyway.
|
||||
|
||||
Default value: 1000
|
||||
|
||||
## optimize_skip_unused_shards {#optimize-skip-unused-shards}
|
||||
|
||||
Enables or disables skipping of unused shards for [SELECT](../../sql-reference/statements/select/index.md) queries that have sharding key condition in `WHERE/PREWHERE` (assuming that the data is distributed by sharding key, otherwise does nothing).
|
||||
@ -1874,7 +1914,7 @@ Default value: `0`.
|
||||
|
||||
Enables or disables random shard insertion into a [Distributed](../../engines/table-engines/special/distributed.md#distributed) table when there is no distributed key.
|
||||
|
||||
By default, when inserting data into a `Distributed` table with more than one shard, the ClickHouse server will any insertion request if there is no distributed key. When `insert_distributed_one_random_shard = 1`, insertions are allowed and data is forwarded randomly among all shards.
|
||||
By default, when inserting data into a `Distributed` table with more than one shard, the ClickHouse server will reject any insertion request if there is no distributed key. When `insert_distributed_one_random_shard = 1`, insertions are allowed and data is forwarded randomly among all shards.
|
||||
|
||||
Possible values:
|
||||
|
||||
@ -2728,11 +2768,11 @@ Default value: `0`.
|
||||
|
||||
## engine_file_truncate_on_insert {#engine-file-truncate-on-insert}
|
||||
|
||||
Enables or disables truncate before insert in file engine tables.
|
||||
Enables or disables truncate before insert in [File](../../engines/table-engines/special/file.md) engine tables.
|
||||
|
||||
Possible values:
|
||||
- 0 — Disabled.
|
||||
- 1 — Enabled.
|
||||
- 0 — `INSERT` query appends new data to the end of the file.
|
||||
- 1 — `INSERT` replaces existing content of the file with the new data.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
@ -2747,4 +2787,72 @@ Possible values:
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## database_atomic_wait_for_drop_and_detach_synchronously {#database_atomic_wait_for_drop_and_detach_synchronously}
|
||||
|
||||
Adds a modifier `SYNC` to all `DROP` and `DETACH` queries.
|
||||
|
||||
Possible values:
|
||||
|
||||
- 0 — Queries will be executed with delay.
|
||||
- 1 — Queries will be executed without delay.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## show_table_uuid_in_table_create_query_if_not_nil {#show_table_uuid_in_table_create_query_if_not_nil}
|
||||
|
||||
Sets the `SHOW TABLE` query display.
|
||||
|
||||
Possible values:
|
||||
|
||||
- 0 — The query will be displayed without table UUID.
|
||||
- 1 — The query will be displayed with table UUID.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## allow_experimental_live_view {#allow-experimental-live-view}
|
||||
|
||||
Allows creation of experimental [live views](../../sql-reference/statements/create/view.md#live-view).
|
||||
|
||||
Possible values:
|
||||
|
||||
- 0 — Working with live views is disabled.
|
||||
- 1 — Working with live views is enabled.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## live_view_heartbeat_interval {#live-view-heartbeat-interval}
|
||||
|
||||
Sets the heartbeat interval in seconds to indicate [live view](../../sql-reference/statements/create/view.md#live-view) is alive .
|
||||
|
||||
Default value: `15`.
|
||||
|
||||
## max_live_view_insert_blocks_before_refresh {#max-live-view-insert-blocks-before-refresh}
|
||||
|
||||
Sets the maximum number of inserted blocks after which mergeable blocks are dropped and query for [live view](../../sql-reference/statements/create/view.md#live-view) is re-executed.
|
||||
|
||||
Default value: `64`.
|
||||
|
||||
## temporary_live_view_timeout {#temporary-live-view-timeout}
|
||||
|
||||
Sets the interval in seconds after which [live view](../../sql-reference/statements/create/view.md#live-view) with timeout is deleted.
|
||||
|
||||
Default value: `5`.
|
||||
|
||||
## periodic_live_view_refresh {#periodic-live-view-refresh}
|
||||
|
||||
Sets the interval in seconds after which periodically refreshed [live view](../../sql-reference/statements/create/view.md#live-view) is forced to refresh.
|
||||
|
||||
Default value: `60`.
|
||||
|
||||
## check_query_single_value_result {#check_query_single_value_result}
|
||||
|
||||
Defines the level of detail for the [CHECK TABLE](../../sql-reference/statements/check-table.md#checking-mergetree-tables) query result for `MergeTree` family engines .
|
||||
|
||||
Possible values:
|
||||
|
||||
- 0 — the query shows a check status for every individual data part of a table.
|
||||
- 1 — the query shows the general table check status.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/settings/settings/) <!-- hide -->
|
||||
|
||||
@ -14,7 +14,17 @@ Columns:
|
||||
|
||||
- `node_name` ([String](../../sql-reference/data-types/string.md)) — Node name in ZooKeeper.
|
||||
|
||||
- `type` ([String](../../sql-reference/data-types/string.md)) — Type of the task in the queue: `GET_PARTS`, `MERGE_PARTS`, `DETACH_PARTS`, `DROP_PARTS`, or `MUTATE_PARTS`.
|
||||
- `type` ([String](../../sql-reference/data-types/string.md)) — Type of the task in the queue, one of:
|
||||
- `GET_PART` - Get the part from another replica.
|
||||
- `ATTACH_PART` - Attach the part, possibly from our own replica (if found in `detached` folder).
|
||||
You may think of it as a `GET_PART` with some optimisations as they're nearly identical.
|
||||
- `MERGE_PARTS` - Merge the parts.
|
||||
- `DROP_RANGE` - Delete the parts in the specified partition in the specified number range.
|
||||
- `CLEAR_COLUMN` - NOTE: Deprecated. Drop specific column from specified partition.
|
||||
- `CLEAR_INDEX` - NOTE: Deprecated. Drop specific index from specified partition.
|
||||
- `REPLACE_RANGE` - Drop certain range of partitions and replace them by new ones
|
||||
- `MUTATE_PART` - Apply one or several mutations to the part.
|
||||
- `ALTER_METADATA` - Apply alter modification according to global /metadata and /columns paths
|
||||
|
||||
- `create_time` ([Datetime](../../sql-reference/data-types/datetime.md)) — Date and time when the task was submitted for execution.
|
||||
|
||||
|
||||
@ -20,10 +20,12 @@ Columns:
|
||||
|
||||
When connecting to the server by `clickhouse-client`, you see the string similar to `Connected to ClickHouse server version 19.18.1 revision 54429.`. This field contains the `revision`, but not the `version` of a server.
|
||||
|
||||
- `timer_type` ([Enum8](../../sql-reference/data-types/enum.md)) — Timer type:
|
||||
- `trace_type` ([Enum8](../../sql-reference/data-types/enum.md)) — Trace type:
|
||||
|
||||
- `Real` represents wall-clock time.
|
||||
- `CPU` represents CPU time.
|
||||
- `Real` represents collecting stack traces by wall-clock time.
|
||||
- `CPU` represents collecting stack traces by CPU time.
|
||||
- `Memory` represents collecting allocations and deallocations when memory allocation exceeds the subsequent watermark.
|
||||
- `MemorySample` represents collecting random allocations and deallocations.
|
||||
|
||||
- `thread_number` ([UInt32](../../sql-reference/data-types/int-uint.md)) — Thread identifier.
|
||||
|
||||
|
||||
@ -243,7 +243,7 @@ The function works according to the algorithm:
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
windowFunnel(window, [mode])(timestamp, cond1, cond2, ..., condN)
|
||||
windowFunnel(window, [mode, [mode, ... ]])(timestamp, cond1, cond2, ..., condN)
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
@ -253,9 +253,11 @@ windowFunnel(window, [mode])(timestamp, cond1, cond2, ..., condN)
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `window` — Length of the sliding window. The unit of `window` depends on the `timestamp` itself and varies. Determined using the expression `timestamp of cond2 <= timestamp of cond1 + window`.
|
||||
- `mode` — It is an optional argument.
|
||||
- `'strict'` — When the `'strict'` is set, the windowFunnel() applies conditions only for the unique values.
|
||||
- `window` — Length of the sliding window, it is the time interval between first condition and last condition. The unit of `window` depends on the `timestamp` itself and varies. Determined using the expression `timestamp of cond1 <= timestamp of cond2 <= ... <= timestamp of condN <= timestamp of cond1 + window`.
|
||||
- `mode` — It is an optional argument. One or more modes can be set.
|
||||
- `'strict'` — If same condition holds for sequence of events then such non-unique events would be skipped.
|
||||
- `'strict_order'` — Don't allow interventions of other events. E.g. in the case of `A->B->D->C`, it stops finding `A->B->C` at the `D` and the max event level is 2.
|
||||
- `'strict_increase'` — Apply conditions only to events with strictly increasing timestamps.
|
||||
|
||||
**Returned value**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ Function:
|
||||
|
||||
- Uses the HyperLogLog algorithm to approximate the number of different argument values.
|
||||
|
||||
212 5-bit cells are used. The size of the state is slightly more than 2.5 KB. The result is not very accurate (up to ~10% error) for small data sets (<10K elements). However, the result is fairly accurate for high-cardinality data sets (10K-100M), with a maximum error of ~1.6%. Starting from 100M, the estimation error increases, and the function will return very inaccurate results for data sets with extremely high cardinality (1B+ elements).
|
||||
2^12 5-bit cells are used. The size of the state is slightly more than 2.5 KB. The result is not very accurate (up to ~10% error) for small data sets (<10K elements). However, the result is fairly accurate for high-cardinality data sets (10K-100M), with a maximum error of ~1.6%. Starting from 100M, the estimation error increases, and the function will return very inaccurate results for data sets with extremely high cardinality (1B+ elements).
|
||||
|
||||
- Provides the determinate result (it doesn’t depend on the query processing order).
|
||||
|
||||
|
||||
@ -69,6 +69,8 @@ Types of sources (`source_type`):
|
||||
- [ClickHouse](#dicts-external_dicts_dict_sources-clickhouse)
|
||||
- [MongoDB](#dicts-external_dicts_dict_sources-mongodb)
|
||||
- [Redis](#dicts-external_dicts_dict_sources-redis)
|
||||
- [Cassandra](#dicts-external_dicts_dict_sources-cassandra)
|
||||
- [PostgreSQL](#dicts-external_dicts_dict_sources-postgresql)
|
||||
|
||||
## Local File {#dicts-external_dicts_dict_sources-local_file}
|
||||
|
||||
|
||||
@ -245,7 +245,7 @@ Elements set to `NULL` are handled as normal values.
|
||||
|
||||
Returns the number of elements in the arr array for which func returns something other than 0. If ‘func’ is not specified, it returns the number of non-zero elements in the array.
|
||||
|
||||
Note that the `arrayCount` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
Note that the `arrayCount` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## countEqual(arr, x) {#countequalarr-x}
|
||||
|
||||
@ -1229,7 +1229,7 @@ SELECT arrayReverseFill(x -> not isNull(x), [1, null, 3, 11, 12, null, null, 5,
|
||||
└────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayReverseFilter` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
Note that the `arrayReverseFill` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arraySplit(func, arr1, …) {#array-split}
|
||||
|
||||
@ -1293,7 +1293,7 @@ Note that the `arrayFirstIndex` is a [higher-order function](../../sql-reference
|
||||
|
||||
## arrayMin {#array-min}
|
||||
|
||||
Returns the minimum of elements in the source array.
|
||||
Returns the minimum of elements in the source array.
|
||||
|
||||
If the `func` function is specified, returns the mininum of elements converted by this function.
|
||||
|
||||
@ -1312,9 +1312,9 @@ arrayMin([func,] arr)
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The minimum of function values (or the array minimum).
|
||||
- The minimum of function values (or the array minimum).
|
||||
|
||||
Type: if `func` is specified, matches `func` return value type, else matches the array elements type.
|
||||
Type: if `func` is specified, matches `func` return value type, else matches the array elements type.
|
||||
|
||||
**Examples**
|
||||
|
||||
@ -1348,7 +1348,7 @@ Result:
|
||||
|
||||
## arrayMax {#array-max}
|
||||
|
||||
Returns the maximum of elements in the source array.
|
||||
Returns the maximum of elements in the source array.
|
||||
|
||||
If the `func` function is specified, returns the maximum of elements converted by this function.
|
||||
|
||||
@ -1367,9 +1367,9 @@ arrayMax([func,] arr)
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The maximum of function values (or the array maximum).
|
||||
- The maximum of function values (or the array maximum).
|
||||
|
||||
Type: if `func` is specified, matches `func` return value type, else matches the array elements type.
|
||||
Type: if `func` is specified, matches `func` return value type, else matches the array elements type.
|
||||
|
||||
**Examples**
|
||||
|
||||
@ -1403,7 +1403,7 @@ Result:
|
||||
|
||||
## arraySum {#array-sum}
|
||||
|
||||
Returns the sum of elements in the source array.
|
||||
Returns the sum of elements in the source array.
|
||||
|
||||
If the `func` function is specified, returns the sum of elements converted by this function.
|
||||
|
||||
@ -1418,7 +1418,7 @@ arraySum([func,] arr)
|
||||
**Arguments**
|
||||
|
||||
- `func` — Function. [Expression](../../sql-reference/data-types/special-data-types/expression.md).
|
||||
- `arr` — Array. [Array](../../sql-reference/data-types/array.md).
|
||||
- `arr` — Array. [Array](../../sql-reference/data-types/array.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
@ -1458,7 +1458,7 @@ Result:
|
||||
|
||||
## arrayAvg {#array-avg}
|
||||
|
||||
Returns the average of elements in the source array.
|
||||
Returns the average of elements in the source array.
|
||||
|
||||
If the `func` function is specified, returns the average of elements converted by this function.
|
||||
|
||||
@ -1473,7 +1473,7 @@ arrayAvg([func,] arr)
|
||||
**Arguments**
|
||||
|
||||
- `func` — Function. [Expression](../../sql-reference/data-types/special-data-types/expression.md).
|
||||
- `arr` — Array. [Array](../../sql-reference/data-types/array.md).
|
||||
- `arr` — Array. [Array](../../sql-reference/data-types/array.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
|
||||
@ -250,3 +250,53 @@ Result:
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
## bitHammingDistance {#bithammingdistance}
|
||||
|
||||
Returns the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) between the bit representations of two integer values. Can be used with [SimHash](../../sql-reference/functions/hash-functions.md#ngramsimhash) functions for detection of semi-duplicate strings. The smaller is the distance, the more likely those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
bitHammingDistance(int1, int2)
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `int1` — First integer value. [Int64](../../sql-reference/data-types/int-uint.md).
|
||||
- `int2` — Second integer value. [Int64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The Hamming distance.
|
||||
|
||||
Type: [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Examples**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT bitHammingDistance(111, 121);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─bitHammingDistance(111, 121)─┐
|
||||
│ 3 │
|
||||
└──────────────────────────────┘
|
||||
```
|
||||
|
||||
With [SimHash](../../sql-reference/functions/hash-functions.md#ngramsimhash):
|
||||
|
||||
``` sql
|
||||
SELECT bitHammingDistance(ngramSimHash('cat ate rat'), ngramSimHash('rat ate cat'));
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─bitHammingDistance(ngramSimHash('cat ate rat'), ngramSimHash('rat ate cat'))─┐
|
||||
│ 5 │
|
||||
└──────────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
35
docs/en/sql-reference/functions/files.md
Normal file
35
docs/en/sql-reference/functions/files.md
Normal file
@ -0,0 +1,35 @@
|
||||
---
|
||||
toc_priority: 43
|
||||
toc_title: Files
|
||||
---
|
||||
|
||||
# Functions for Working with Files {#functions-for-working-with-files}
|
||||
|
||||
## file {#file}
|
||||
|
||||
Reads file as a String. The file content is not parsed, so any information is read as one string and placed into the specified column.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
file(path)
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `path` — The relative path to the file from [user_files_path](../../operations/server-configuration-parameters/settings.md#server_configuration_parameters-user_files_path). Path to file support following wildcards: `*`, `?`, `{abc,def}` and `{N..M}` where `N`, `M` — numbers, `'abc', 'def'` — strings.
|
||||
|
||||
**Example**
|
||||
|
||||
Inserting data from files a.txt and b.txt into a table as strings:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
INSERT INTO table SELECT file('a.txt'), file('b.txt');
|
||||
```
|
||||
|
||||
**See Also**
|
||||
|
||||
- [user_files_path](../../operations/server-configuration-parameters/settings.md#server_configuration_parameters-user_files_path)
|
||||
- [file](../table-functions/file.md)
|
||||
@ -7,6 +7,8 @@ toc_title: Hash
|
||||
|
||||
Hash functions can be used for the deterministic pseudo-random shuffling of elements.
|
||||
|
||||
Simhash is a hash function, which returns close hash values for close (similar) arguments.
|
||||
|
||||
## halfMD5 {#hash-functions-halfmd5}
|
||||
|
||||
[Interprets](../../sql-reference/functions/type-conversion-functions.md#type_conversion_functions-reinterpretAsString) all the input parameters as strings and calculates the [MD5](https://en.wikipedia.org/wiki/MD5) hash value for each of them. Then combines hashes, takes the first 8 bytes of the hash of the resulting string, and interprets them as `UInt64` in big-endian byte order.
|
||||
@ -482,3 +484,938 @@ Result:
|
||||
|
||||
- [xxHash](http://cyan4973.github.io/xxHash/).
|
||||
|
||||
## ngramSimHash {#ngramsimhash}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and returns the n-gram `simhash`. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramSimHash(string[, ngramsize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramSimHash('ClickHouse') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 1627567969 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## ngramSimHashCaseInsensitive {#ngramsimhashcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and returns the n-gram `simhash`. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramSimHashCaseInsensitive(string[, ngramsize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramSimHashCaseInsensitive('ClickHouse') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌──────Hash─┐
|
||||
│ 562180645 │
|
||||
└───────────┘
|
||||
```
|
||||
|
||||
## ngramSimHashUTF8 {#ngramsimhashutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and returns the n-gram `simhash`. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramSimHashUTF8(string[, ngramsize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramSimHashUTF8('ClickHouse') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 1628157797 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## ngramSimHashCaseInsensitiveUTF8 {#ngramsimhashcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and returns the n-gram `simhash`. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramSimHashCaseInsensitiveUTF8(string[, ngramsize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramSimHashCaseInsensitiveUTF8('ClickHouse') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 1636742693 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## wordShingleSimHash {#wordshinglesimhash}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words and returns the word shingle `simhash`. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleSimHash(string[, shinglesize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleSimHash('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 2328277067 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## wordShingleSimHashCaseInsensitive {#wordshinglesimhashcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words and returns the word shingle `simhash`. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleSimHashCaseInsensitive(string[, shinglesize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleSimHashCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 2194812424 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## wordShingleSimHashUTF8 {#wordshinglesimhashutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words and returns the word shingle `simhash`. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleSimHashUTF8(string[, shinglesize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optinal. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleSimHashUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 2328277067 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## wordShingleSimHashCaseInsensitiveUTF8 {#wordshinglesimhashcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words and returns the word shingle `simhash`. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [bitHammingDistance](../../sql-reference/functions/bit-functions.md#bithammingdistance). The smaller is the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) of the calculated `simhashes` of two strings, the more likely these strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleSimHashCaseInsensitiveUTF8(string[, shinglesize])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Hash value.
|
||||
|
||||
Type: [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleSimHashCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌───────Hash─┐
|
||||
│ 2194812424 │
|
||||
└────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHash {#ngramminhash}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and calculates hash values for each n-gram. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHash(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHash('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────┐
|
||||
│ (18333312859352735453,9054248444481805918) │
|
||||
└────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashCaseInsensitive {#ngramminhashcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and calculates hash values for each n-gram. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashCaseInsensitive(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashCaseInsensitive('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────┐
|
||||
│ (2106263556442004574,13203602793651726206) │
|
||||
└────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashUTF8 {#ngramminhashutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and calculates hash values for each n-gram. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashUTF8(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashUTF8('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────┐
|
||||
│ (18333312859352735453,6742163577938632877) │
|
||||
└────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashCaseInsensitiveUTF8 {#ngramminhashcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and calculates hash values for each n-gram. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashCaseInsensitiveUTF8(string [, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashCaseInsensitiveUTF8('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple───────────────────────────────────────┐
|
||||
│ (12493625717655877135,13203602793651726206) │
|
||||
└─────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashArg {#ngramminhasharg}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and returns the n-grams with minimum and maximum hashes, calculated by the [ngramMinHash](#ngramminhash) function with the same input. Is case sensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashArg(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` n-grams each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashArg('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
|
||||
│ (('ous','ick','lic','Hou','kHo','use'),('Hou','lic','ick','ous','ckH','Cli')) │
|
||||
└───────────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashArgCaseInsensitive {#ngramminhashargcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into n-grams of `ngramsize` symbols and returns the n-grams with minimum and maximum hashes, calculated by the [ngramMinHashCaseInsensitive](#ngramminhashcaseinsensitive) function with the same input. Is case insensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashArgCaseInsensitive(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` n-grams each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashArgCaseInsensitive('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
|
||||
│ (('ous','ick','lic','kHo','use','Cli'),('kHo','lic','ick','ous','ckH','Hou')) │
|
||||
└───────────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashArgUTF8 {#ngramminhashargutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and returns the n-grams with minimum and maximum hashes, calculated by the [ngramMinHashUTF8](#ngramminhashutf8) function with the same input. Is case sensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashArgUTF8(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` n-grams each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashArgUTF8('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
|
||||
│ (('ous','ick','lic','Hou','kHo','use'),('kHo','Hou','lic','ick','ous','ckH')) │
|
||||
└───────────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## ngramMinHashArgCaseInsensitiveUTF8 {#ngramminhashargcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into n-grams of `ngramsize` symbols and returns the n-grams with minimum and maximum hashes, calculated by the [ngramMinHashCaseInsensitiveUTF8](#ngramminhashcaseinsensitiveutf8) function with the same input. Is case insensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
ngramMinHashArgCaseInsensitiveUTF8(string[, ngramsize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `ngramsize` — The size of an n-gram. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` n-grams each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT ngramMinHashArgCaseInsensitiveUTF8('ClickHouse') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
|
||||
│ (('ckH','ous','ick','lic','kHo','use'),('kHo','lic','ick','ous','ckH','Hou')) │
|
||||
└───────────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHash {#wordshingleminhash}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words and calculates hash values for each word shingle. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHash(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHash('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────┐
|
||||
│ (16452112859864147620,5844417301642981317) │
|
||||
└────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashCaseInsensitive {#wordshingleminhashcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words and calculates hash values for each word shingle. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashCaseInsensitive(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────┐
|
||||
│ (3065874883688416519,1634050779997673240) │
|
||||
└───────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashUTF8 {#wordshingleminhashutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words and calculates hash values for each word shingle. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashUTF8(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────┐
|
||||
│ (16452112859864147620,5844417301642981317) │
|
||||
└────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashCaseInsensitiveUTF8 {#wordshingleminhashcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words and calculates hash values for each word shingle. Uses `hashnum` minimum hashes to calculate the minimum hash and `hashnum` maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
|
||||
|
||||
Can be used for detection of semi-duplicate strings with [tupleHammingDistance](../../sql-reference/functions/tuple-functions.md#tuplehammingdistance). For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashCaseInsensitiveUTF8(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two hashes — the minimum and the maximum.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([UInt64](../../sql-reference/data-types/int-uint.md), [UInt64](../../sql-reference/data-types/int-uint.md)).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────┐
|
||||
│ (3065874883688416519,1634050779997673240) │
|
||||
└───────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashArg {#wordshingleminhasharg}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words each and returns the shingles with minimum and maximum word hashes, calculated by the [wordshingleMinHash](#wordshingleminhash) function with the same input. Is case sensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashArg(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` word shingles each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashArg('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────┐
|
||||
│ (('OLAP','database','analytical'),('online','oriented','processing')) │
|
||||
└───────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashArgCaseInsensitive {#wordshingleminhashargcaseinsensitive}
|
||||
|
||||
Splits a ASCII string into parts (shingles) of `shinglesize` words each and returns the shingles with minimum and maximum word hashes, calculated by the [wordShingleMinHashCaseInsensitive](#wordshingleminhashcaseinsensitive) function with the same input. Is case insensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashArgCaseInsensitive(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` word shingles each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashArgCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────────────────────────────────┐
|
||||
│ (('queries','database','analytical'),('oriented','processing','DBMS')) │
|
||||
└────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashArgUTF8 {#wordshingleminhashargutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words each and returns the shingles with minimum and maximum word hashes, calculated by the [wordShingleMinHashUTF8](#wordshingleminhashutf8) function with the same input. Is case sensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashArgUTF8(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` word shingles each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashArgUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple─────────────────────────────────────────────────────────────────┐
|
||||
│ (('OLAP','database','analytical'),('online','oriented','processing')) │
|
||||
└───────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## wordShingleMinHashArgCaseInsensitiveUTF8 {#wordshingleminhashargcaseinsensitiveutf8}
|
||||
|
||||
Splits a UTF-8 string into parts (shingles) of `shinglesize` words each and returns the shingles with minimum and maximum word hashes, calculated by the [wordShingleMinHashCaseInsensitiveUTF8](#wordshingleminhashcaseinsensitiveutf8) function with the same input. Is case insensitive.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
wordShingleMinHashArgCaseInsensitiveUTF8(string[, shinglesize, hashnum])
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `string` — String. [String](../../sql-reference/data-types/string.md).
|
||||
- `shinglesize` — The size of a word shingle. Optional. Possible values: any number from `1` to `25`. Default value: `3`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `hashnum` — The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from `1` to `25`. Default value: `6`. [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Tuple with two tuples with `hashnum` word shingles each.
|
||||
|
||||
Type: [Tuple](../../sql-reference/data-types/tuple.md)([Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md)), [Tuple](../../sql-reference/data-types/tuple.md)([String](../../sql-reference/data-types/string.md))).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT wordShingleMinHashArgCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─Tuple──────────────────────────────────────────────────────────────────┐
|
||||
│ (('queries','database','analytical'),('oriented','processing','DBMS')) │
|
||||
└────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
@ -394,3 +394,55 @@ Result:
|
||||
└──────────────────┴────────────────────┘
|
||||
```
|
||||
|
||||
## isIPAddressInRange {#isipaddressinrange}
|
||||
|
||||
Determines if an IP address is contained in a network represented in the [CIDR](https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing) notation. Returns `1` if true, or `0` otherwise.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
isIPAddressInRange(address, prefix)
|
||||
```
|
||||
|
||||
This function accepts both IPv4 and IPv6 addresses (and networks) represented as strings. It returns `0` if the IP version of the address and the CIDR don't match.
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `address` — An IPv4 or IPv6 address. [String](../../sql-reference/data-types/string.md).
|
||||
- `prefix` — An IPv4 or IPv6 network prefix in CIDR. [String](../../sql-reference/data-types/string.md).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- `1` or `0`.
|
||||
|
||||
Type: [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT isIPAddressInRange('127.0.0.1', '127.0.0.0/8')
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─isIPAddressInRange('127.0.0.1', '127.0.0.0/8')─┐
|
||||
│ 1 │
|
||||
└────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT isIPAddressInRange('127.0.0.1', 'ffff::/16')
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─isIPAddressInRange('127.0.0.1', 'ffff::/16')─┐
|
||||
│ 0 │
|
||||
└──────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
@ -12,7 +12,9 @@ The search is case-sensitive by default in all these functions. There are separa
|
||||
|
||||
## position(haystack, needle), locate(haystack, needle) {#position}
|
||||
|
||||
Returns the position (in bytes) of the found substring in the string, starting from 1.
|
||||
Searches for the substring `needle` in the string `haystack`.
|
||||
|
||||
Returns the position (in bytes) of the found substring in the string, starting from 1.
|
||||
|
||||
For a case-insensitive search, use the function [positionCaseInsensitive](#positioncaseinsensitive).
|
||||
|
||||
@ -20,15 +22,22 @@ For a case-insensitive search, use the function [positionCaseInsensitive](#posit
|
||||
|
||||
``` sql
|
||||
position(haystack, needle[, start_pos])
|
||||
```
|
||||
```
|
||||
|
||||
``` sql
|
||||
position(needle IN haystack)
|
||||
```
|
||||
|
||||
Alias: `locate(haystack, needle[, start_pos])`.
|
||||
|
||||
!!! note "Note"
|
||||
Syntax of `position(needle IN haystack)` provides SQL-compatibility, the function works the same way as to `position(haystack, needle)`.
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `haystack` — String, in which substring will to be searched. [String](../../sql-reference/syntax.md#syntax-string-literal).
|
||||
- `needle` — Substring to be searched. [String](../../sql-reference/syntax.md#syntax-string-literal).
|
||||
- `start_pos` — Optional parameter, position of the first character in the string to start search. [UInt](../../sql-reference/data-types/int-uint.md).
|
||||
- `start_pos` – Position of the first character in the string to start search. [UInt](../../sql-reference/data-types/int-uint.md). Optional.
|
||||
|
||||
**Returned values**
|
||||
|
||||
@ -83,6 +92,36 @@ Result:
|
||||
└───────────────────────────────┘
|
||||
```
|
||||
|
||||
**Examples for POSITION(needle IN haystack) syntax**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT 3 = position('c' IN 'abc');
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```text
|
||||
┌─equals(3, position('abc', 'c'))─┐
|
||||
│ 1 │
|
||||
└─────────────────────────────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT 6 = position('/' IN s) FROM (SELECT 'Hello/World' AS s);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```text
|
||||
┌─equals(6, position(s, '/'))─┐
|
||||
│ 1 │
|
||||
└─────────────────────────────┘
|
||||
```
|
||||
|
||||
## positionCaseInsensitive {#positioncaseinsensitive}
|
||||
|
||||
The same as [position](#position) returns the position (in bytes) of the found substring in the string, starting from 1. Use the function for a case-insensitive search.
|
||||
@ -772,4 +811,3 @@ Result:
|
||||
│ 2 │
|
||||
└───────────────────────────────┘
|
||||
```
|
||||
|
||||
|
||||
@ -111,4 +111,55 @@ Result:
|
||||
|
||||
- [Tuple](../../sql-reference/data-types/tuple.md)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/functions/tuple-functions/) <!--hide-->
|
||||
## tupleHammingDistance {#tuplehammingdistance}
|
||||
|
||||
Returns the [Hamming Distance](https://en.wikipedia.org/wiki/Hamming_distance) between two tuples of the same size.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
tupleHammingDistance(tuple1, tuple2)
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `tuple1` — First tuple. [Tuple](../../sql-reference/data-types/tuple.md).
|
||||
- `tuple2` — Second tuple. [Tuple](../../sql-reference/data-types/tuple.md).
|
||||
|
||||
Tuples should have the same type of the elements.
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The Hamming distance.
|
||||
|
||||
Type: [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
|
||||
**Examples**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT tupleHammingDistance((1, 2, 3), (3, 2, 1)) AS HammingDistance;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─HammingDistance─┐
|
||||
│ 2 │
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
Can be used with [MinHash](../../sql-reference/functions/hash-functions.md#ngramminhash) functions for detection of semi-duplicate strings:
|
||||
|
||||
``` sql
|
||||
SELECT tupleHammingDistance(wordShingleMinHash(string), wordShingleMinHashCaseInsensitive(string)) as HammingDistance FROM (SELECT 'Clickhouse is a column-oriented database management system for online analytical processing of queries.' AS string);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─HammingDistance─┐
|
||||
│ 2 │
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
@ -385,8 +385,6 @@ reinterpretAsUUID(fixed_string)
|
||||
|
||||
- `fixed_string` — Big-endian byte string. [FixedString](../../sql-reference/data-types/fixedstring.md#fixedstring).
|
||||
|
||||
## reinterpret(x, T) {#type_conversion_function-reinterpret}
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The UUID type value. [UUID](../../sql-reference/data-types/uuid.md#uuid-data-type).
|
||||
@ -398,9 +396,7 @@ String to UUID.
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT reinterpret(toInt8(-1), 'UInt8') as int_to_uint,
|
||||
reinterpret(toInt8(1), 'Float32') as int_to_float,
|
||||
reinterpret('1', 'UInt32') as string_to_int;
|
||||
SELECT reinterpretAsUUID(reverse(unhex('000102030405060708090a0b0c0d0e0f')));
|
||||
```
|
||||
|
||||
Result:
|
||||
@ -431,15 +427,51 @@ Result:
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
## reinterpret(x, T) {#type_conversion_function-reinterpret}
|
||||
|
||||
Use the same source in-memory bytes sequence for `x` value and reinterpret it to destination type
|
||||
|
||||
Query:
|
||||
```sql
|
||||
SELECT reinterpret(toInt8(-1), 'UInt8') as int_to_uint,
|
||||
reinterpret(toInt8(1), 'Float32') as int_to_float,
|
||||
reinterpret('1', 'UInt32') as string_to_int;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```
|
||||
┌─int_to_uint─┬─int_to_float─┬─string_to_int─┐
|
||||
│ 255 │ 1e-45 │ 49 │
|
||||
└─────────────┴──────────────┴───────────────┘
|
||||
```
|
||||
|
||||
## CAST(x, T) {#type_conversion_function-cast}
|
||||
|
||||
Converts input value `x` to the `T` data type.
|
||||
Converts input value `x` to the `T` data type. Unlike to `reinterpret` function use external representation of `x` value.
|
||||
|
||||
The syntax `CAST(x AS t)` is also supported.
|
||||
|
||||
Note, that if value `x` does not fit the bounds of type T, the function overflows. For example, CAST(-1, 'UInt8') returns 255.
|
||||
|
||||
**Example**
|
||||
**Examples**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
cast(toInt8(-1), 'UInt8') AS cast_int_to_uint,
|
||||
cast(toInt8(1), 'Float32') AS cast_int_to_float,
|
||||
cast('1', 'UInt32') AS cast_string_to_int
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```
|
||||
┌─cast_int_to_uint─┬─cast_int_to_float─┬─cast_string_to_int─┐
|
||||
│ 255 │ 1 │ 1 │
|
||||
└──────────────────┴───────────────────┴────────────────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
@ -634,6 +666,7 @@ Result:
|
||||
```
|
||||
|
||||
## parseDateTimeBestEffort {#parsedatetimebesteffort}
|
||||
## parseDateTime32BestEffort {#parsedatetime32besteffort}
|
||||
|
||||
Converts a date and time in the [String](../../sql-reference/data-types/string.md) representation to [DateTime](../../sql-reference/data-types/datetime.md#data_type-datetime) data type.
|
||||
|
||||
@ -822,10 +855,12 @@ Result:
|
||||
```
|
||||
|
||||
## parseDateTimeBestEffortOrNull {#parsedatetimebesteffortornull}
|
||||
## parseDateTime32BestEffortOrNull {#parsedatetime32besteffortornull}
|
||||
|
||||
Same as for [parseDateTimeBestEffort](#parsedatetimebesteffort) except that it returns null when it encounters a date format that cannot be processed.
|
||||
Same as for [parseDateTimeBestEffort](#parsedatetimebesteffort) except that it returns `NULL` when it encounters a date format that cannot be processed.
|
||||
|
||||
## parseDateTimeBestEffortOrZero {#parsedatetimebesteffortorzero}
|
||||
## parseDateTime32BestEffortOrZero {#parsedatetime32besteffortorzero}
|
||||
|
||||
Same as for [parseDateTimeBestEffort](#parsedatetimebesteffort) except that it returns zero date or zero date time when it encounters a date format that cannot be processed.
|
||||
|
||||
@ -1001,6 +1036,57 @@ Result:
|
||||
└─────────────────────────────────┘
|
||||
```
|
||||
|
||||
## parseDateTime64BestEffort {#parsedatetime64besteffort}
|
||||
|
||||
Same as [parseDateTimeBestEffort](#parsedatetimebesteffort) function but also parse milliseconds and microseconds and return `DateTime64(3)` or `DateTime64(6)` data types.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
parseDateTime64BestEffort(time_string [, precision [, time_zone]])
|
||||
```
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `time_string` — String containing a date or date with time to convert. [String](../../sql-reference/data-types/string.md).
|
||||
- `precision` — `3` for milliseconds, `6` for microseconds. Default `3`. Optional [UInt8](../../sql-reference/data-types/int-uint.md).
|
||||
- `time_zone` — [Timezone](../../operations/server-configuration-parameters/settings.md#server_configuration_parameters-timezone). The function parses `time_string` according to the timezone. Optional. [String](../../sql-reference/data-types/string.md).
|
||||
|
||||
**Examples**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT parseDateTime64BestEffort('2021-01-01') AS a, toTypeName(a) AS t
|
||||
UNION ALL
|
||||
SELECT parseDateTime64BestEffort('2021-01-01 01:01:00.12346') AS a, toTypeName(a) AS t
|
||||
UNION ALL
|
||||
SELECT parseDateTime64BestEffort('2021-01-01 01:01:00.12346',6) AS a, toTypeName(a) AS t
|
||||
UNION ALL
|
||||
SELECT parseDateTime64BestEffort('2021-01-01 01:01:00.12346',3,'Europe/Moscow') AS a, toTypeName(a) AS t
|
||||
FORMAT PrettyCompactMonoBlcok
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```
|
||||
┌──────────────────────────a─┬─t──────────────────────────────┐
|
||||
│ 2021-01-01 01:01:00.123000 │ DateTime64(3) │
|
||||
│ 2021-01-01 00:00:00.000000 │ DateTime64(3) │
|
||||
│ 2021-01-01 01:01:00.123460 │ DateTime64(6) │
|
||||
│ 2020-12-31 22:01:00.123000 │ DateTime64(3, 'Europe/Moscow') │
|
||||
└────────────────────────────┴────────────────────────────────┘
|
||||
```
|
||||
|
||||
## parseDateTime64BestEffortOrNull {#parsedatetime32besteffortornull}
|
||||
|
||||
Same as for [parseDateTime64BestEffort](#parsedatetime64besteffort) except that it returns `NULL` when it encounters a date format that cannot be processed.
|
||||
|
||||
## parseDateTime64BestEffortOrZero {#parsedatetime64besteffortorzero}
|
||||
|
||||
Same as for [parseDateTime64BestEffort](#parsedatetimebesteffort) except that it returns zero date or zero date time when it encounters a date format that cannot be processed.
|
||||
|
||||
|
||||
## toLowCardinality {#tolowcardinality}
|
||||
|
||||
Converts input parameter to the [LowCardianlity](../../sql-reference/data-types/lowcardinality.md) version of same data type.
|
||||
@ -1009,7 +1095,7 @@ To convert data from the `LowCardinality` data type use the [CAST](#type_convers
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
```sql
|
||||
toLowCardinality(expr)
|
||||
```
|
||||
|
||||
@ -1027,7 +1113,7 @@ Type: `LowCardinality(expr_result_type)`
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
```sql
|
||||
SELECT toLowCardinality('1');
|
||||
```
|
||||
|
||||
@ -1045,7 +1131,8 @@ Result:
|
||||
|
||||
## toUnixTimestamp64Nano {#tounixtimestamp64nano}
|
||||
|
||||
Converts a `DateTime64` to a `Int64` value with fixed sub-second precision. Input value is scaled up or down appropriately depending on it precision. Please note that output value is a timestamp in UTC, not in timezone of `DateTime64`.
|
||||
Converts a `DateTime64` to a `Int64` value with fixed sub-second precision.
|
||||
Input value is scaled up or down appropriately depending on it precision. Please note that output value is a timestamp in UTC, not in timezone of `DateTime64`.
|
||||
|
||||
**Syntax**
|
||||
|
||||
@ -1078,6 +1165,8 @@ Result:
|
||||
└──────────────────────────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
WITH toDateTime64('2019-09-16 19:20:12.345678910', 6) AS dt64
|
||||
SELECT toUnixTimestamp64Nano(dt64);
|
||||
|
||||
@ -144,7 +144,7 @@ This query changes the `name` column properties:
|
||||
|
||||
- TTL
|
||||
|
||||
For examples of columns TTL modifying, see [Column TTL](../../engines/table_engines/mergetree_family/mergetree.md#mergetree-column-ttl).
|
||||
For examples of columns TTL modifying, see [Column TTL](../../../engines/table-engines/mergetree-family/mergetree.md#mergetree-column-ttl).
|
||||
|
||||
If the `IF EXISTS` clause is specified, the query won’t return an error if the column doesn’t exist.
|
||||
|
||||
|
||||
@ -40,7 +40,7 @@ Read about setting the partition expression in a section [How to specify the par
|
||||
|
||||
After the query is executed, you can do whatever you want with the data in the `detached` directory — delete it from the file system, or just leave it.
|
||||
|
||||
This query is replicated – it moves the data to the `detached` directory on all replicas. Note that you can execute this query only on a leader replica. To find out if a replica is a leader, perform the `SELECT` query to the [system.replicas](../../../operations/system-tables/replicas.md#system_tables-replicas) table. Alternatively, it is easier to make a `DETACH` query on all replicas - all the replicas throw an exception, except the leader replica.
|
||||
This query is replicated – it moves the data to the `detached` directory on all replicas. Note that you can execute this query only on a leader replica. To find out if a replica is a leader, perform the `SELECT` query to the [system.replicas](../../../operations/system-tables/replicas.md#system_tables-replicas) table. Alternatively, it is easier to make a `DETACH` query on all replicas - all the replicas throw an exception, except the leader replicas (as multiple leaders are allowed).
|
||||
|
||||
## DROP PARTITION\|PART {#alter_drop-partition}
|
||||
|
||||
@ -85,9 +85,15 @@ ALTER TABLE visits ATTACH PART 201901_2_2_0;
|
||||
|
||||
Read more about setting the partition expression in a section [How to specify the partition expression](#alter-how-to-specify-part-expr).
|
||||
|
||||
This query is replicated. The replica-initiator checks whether there is data in the `detached` directory. If data exists, the query checks its integrity. If everything is correct, the query adds the data to the table. All other replicas download the data from the replica-initiator.
|
||||
This query is replicated. The replica-initiator checks whether there is data in the `detached` directory.
|
||||
If data exists, the query checks its integrity. If everything is correct, the query adds the data to the table.
|
||||
|
||||
So you can put data to the `detached` directory on one replica, and use the `ALTER ... ATTACH` query to add it to the table on all replicas.
|
||||
If the non-initiator replica, receiving the attach command, finds the part with the correct checksums in its own
|
||||
`detached` folder, it attaches the data without fetching it from other replicas.
|
||||
If there is no part with the correct checksums, the data is downloaded from any replica having the part.
|
||||
|
||||
You can put data to the `detached` directory on one replica and use the `ALTER ... ATTACH` query to add it to the
|
||||
table on all replicas.
|
||||
|
||||
## ATTACH PARTITION FROM {#alter_attach-partition-from}
|
||||
|
||||
@ -95,7 +101,8 @@ So you can put data to the `detached` directory on one replica, and use the `ALT
|
||||
ALTER TABLE table2 ATTACH PARTITION partition_expr FROM table1
|
||||
```
|
||||
|
||||
This query copies the data partition from the `table1` to `table2` adds data to exsisting in the `table2`. Note that data won’t be deleted from `table1`.
|
||||
This query copies the data partition from the `table1` to `table2`.
|
||||
Note that data won't be deleted neither from `table1` nor from `table2`.
|
||||
|
||||
For the query to run successfully, the following conditions must be met:
|
||||
|
||||
|
||||
@ -5,13 +5,14 @@ toc_title: ATTACH
|
||||
|
||||
# ATTACH Statement {#attach}
|
||||
|
||||
This query is exactly the same as [CREATE](../../sql-reference/statements/create/table.md), but
|
||||
Attaches the table, for example, when moving a database to another server.
|
||||
|
||||
- Instead of the word `CREATE` it uses the word `ATTACH`.
|
||||
- The query does not create data on the disk, but assumes that data is already in the appropriate places, and just adds information about the table to the server.
|
||||
After executing an ATTACH query, the server will know about the existence of the table.
|
||||
The query does not create data on the disk, but assumes that data is already in the appropriate places, and just adds information about the table to the server. After executing an `ATTACH` query, the server will know about the existence of the table.
|
||||
|
||||
If the table was previously detached ([DETACH](../../sql-reference/statements/detach.md)), meaning that its structure is known, you can use shorthand without defining the structure.
|
||||
If the table was previously detached ([DETACH](../../sql-reference/statements/detach.md)) query, meaning that its structure is known, you can use shorthand without defining the structure.
|
||||
|
||||
## Syntax Forms {#syntax-forms}
|
||||
### Attach Existing Table {#attach-existing-table}
|
||||
|
||||
``` sql
|
||||
ATTACH TABLE [IF NOT EXISTS] [db.]name [ON CLUSTER cluster]
|
||||
@ -21,4 +22,38 @@ This query is used when starting the server. The server stores table metadata as
|
||||
|
||||
If the table was detached permanently, it won't be reattached at the server start, so you need to use `ATTACH` query explicitly.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/statements/attach/) <!--hide-->
|
||||
### Сreate New Table And Attach Data {#create-new-table-and-attach-data}
|
||||
|
||||
**With specify path to table data**
|
||||
|
||||
```sql
|
||||
ATTACH TABLE name FROM 'path/to/data/' (col1 Type1, ...)
|
||||
```
|
||||
|
||||
It creates new table with provided structure and attaches table data from provided directory in `user_files`.
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
DROP TABLE IF EXISTS test;
|
||||
INSERT INTO TABLE FUNCTION file('01188_attach/test/data.TSV', 'TSV', 's String, n UInt8') VALUES ('test', 42);
|
||||
ATTACH TABLE test FROM '01188_attach/test' (s String, n UInt8) ENGINE = File(TSV);
|
||||
SELECT * FROM test;
|
||||
```
|
||||
Result:
|
||||
|
||||
```sql
|
||||
┌─s────┬──n─┐
|
||||
│ test │ 42 │
|
||||
└──────┴────┘
|
||||
```
|
||||
|
||||
**With specify table UUID** (Only for `Atomic` database)
|
||||
|
||||
```sql
|
||||
ATTACH TABLE name UUID '<uuid>' (col1 Type1, ...)
|
||||
```
|
||||
|
||||
It creates new table with provided structure and attaches data from table with the specified UUID.
|
||||
@ -30,9 +30,36 @@ Performed over the tables with another table engines causes an exception.
|
||||
|
||||
Engines from the `*Log` family don’t provide automatic data recovery on failure. Use the `CHECK TABLE` query to track data loss in a timely manner.
|
||||
|
||||
For `MergeTree` family engines, the `CHECK TABLE` query shows a check status for every individual data part of a table on the local server.
|
||||
## Checking the MergeTree Family Tables {#checking-mergetree-tables}
|
||||
|
||||
**If the data is corrupted**
|
||||
For `MergeTree` family engines, if [check_query_single_value_result](../../operations/settings/settings.md#check_query_single_value_result) = 0, the `CHECK TABLE` query shows a check status for every individual data part of a table on the local server.
|
||||
|
||||
```sql
|
||||
SET check_query_single_value_result = 0;
|
||||
CHECK TABLE test_table;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─part_path─┬─is_passed─┬─message─┐
|
||||
│ all_1_4_1 │ 1 │ │
|
||||
│ all_1_4_2 │ 1 │ │
|
||||
└───────────┴───────────┴─────────┘
|
||||
```
|
||||
|
||||
If `check_query_single_value_result` = 0, the `CHECK TABLE` query shows the general table check status.
|
||||
|
||||
```sql
|
||||
SET check_query_single_value_result = 1;
|
||||
CHECK TABLE test_table;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─result─┐
|
||||
│ 1 │
|
||||
└────────┘
|
||||
```
|
||||
|
||||
## If the Data Is Corrupted {#if-data-is-corrupted}
|
||||
|
||||
If the table is corrupted, you can copy the non-corrupted data to another table. To do this:
|
||||
|
||||
|
||||
@ -287,7 +287,9 @@ REPLACE TABLE myOldTable SELECT * FROM myOldTable WHERE CounterID <12345;
|
||||
|
||||
### Syntax
|
||||
|
||||
{CREATE [OR REPLACE]|REPLACE} TABLE [db.]table_name
|
||||
``` sql
|
||||
{CREATE [OR REPLACE] | REPLACE} TABLE [db.]table_name
|
||||
```
|
||||
|
||||
All syntax forms for `CREATE` query also work for this query. `REPLACE` for a non-existent table will cause an error.
|
||||
|
||||
|
||||
@ -68,7 +68,7 @@ To delete a view, use [DROP VIEW](../../../sql-reference/statements/drop.md#drop
|
||||
|
||||
!!! important "Important"
|
||||
This is an experimental feature that may change in backwards-incompatible ways in the future releases.
|
||||
Enable usage of live views and `WATCH` query using `set allow_experimental_live_view = 1`.
|
||||
Enable usage of live views and `WATCH` query using [allow_experimental_live_view](../../../operations/settings/settings.md#allow-experimental-live-view) setting. Input the command `set allow_experimental_live_view = 1`.
|
||||
|
||||
|
||||
```sql
|
||||
@ -90,7 +90,9 @@ Live views work similarly to how a query in a distributed table works. But inste
|
||||
|
||||
See [WITH REFRESH](#live-view-with-refresh) to force periodic updates of a live view that in some cases can be used as a workaround.
|
||||
|
||||
You can watch for changes in the live view query result using the [WATCH](../../../sql-reference/statements/watch.md) query
|
||||
### Monitoring Changes {#live-view-monitoring}
|
||||
|
||||
You can monitor changes in the `LIVE VIEW` query result using [WATCH](../../../sql-reference/statements/watch.md) query.
|
||||
|
||||
```sql
|
||||
WATCH [db.]live_view
|
||||
@ -102,11 +104,10 @@ WATCH [db.]live_view
|
||||
CREATE TABLE mt (x Int8) Engine = MergeTree ORDER BY x;
|
||||
CREATE LIVE VIEW lv AS SELECT sum(x) FROM mt;
|
||||
```
|
||||
|
||||
Watch a live view while doing a parallel insert into the source table.
|
||||
|
||||
```sql
|
||||
WATCH lv
|
||||
WATCH lv;
|
||||
```
|
||||
|
||||
```bash
|
||||
@ -128,16 +129,16 @@ INSERT INTO mt VALUES (2);
|
||||
INSERT INTO mt VALUES (3);
|
||||
```
|
||||
|
||||
or add [EVENTS](../../../sql-reference/statements/watch.md#events-clause) clause to just get change events.
|
||||
Or add [EVENTS](../../../sql-reference/statements/watch.md#events-clause) clause to just get change events.
|
||||
|
||||
```sql
|
||||
WATCH [db.]live_view EVENTS
|
||||
WATCH [db.]live_view EVENTS;
|
||||
```
|
||||
|
||||
**Example:**
|
||||
|
||||
```sql
|
||||
WATCH lv EVENTS
|
||||
WATCH lv EVENTS;
|
||||
```
|
||||
|
||||
```bash
|
||||
@ -163,15 +164,15 @@ SELECT * FROM [db.]live_view WHERE ...
|
||||
|
||||
You can force live view refresh using the `ALTER LIVE VIEW [db.]table_name REFRESH` statement.
|
||||
|
||||
### With Timeout {#live-view-with-timeout}
|
||||
### WITH TIMEOUT Clause {#live-view-with-timeout}
|
||||
|
||||
When a live view is create with a `WITH TIMEOUT` clause then the live view will be dropped automatically after the specified number of seconds elapse since the end of the last [WATCH](../../../sql-reference/statements/watch.md) query that was watching the live view.
|
||||
When a live view is created with a `WITH TIMEOUT` clause then the live view will be dropped automatically after the specified number of seconds elapse since the end of the last [WATCH](../../../sql-reference/statements/watch.md) query that was watching the live view.
|
||||
|
||||
```sql
|
||||
CREATE LIVE VIEW [db.]table_name WITH TIMEOUT [value_in_sec] AS SELECT ...
|
||||
```
|
||||
|
||||
If the timeout value is not specified then the value specified by the `temporary_live_view_timeout` setting is used.
|
||||
If the timeout value is not specified then the value specified by the [temporary_live_view_timeout](../../../operations/settings/settings.md#temporary-live-view-timeout) setting is used.
|
||||
|
||||
**Example:**
|
||||
|
||||
@ -180,7 +181,7 @@ CREATE TABLE mt (x Int8) Engine = MergeTree ORDER BY x;
|
||||
CREATE LIVE VIEW lv WITH TIMEOUT 15 AS SELECT sum(x) FROM mt;
|
||||
```
|
||||
|
||||
### With Refresh {#live-view-with-refresh}
|
||||
### WITH REFRESH Clause {#live-view-with-refresh}
|
||||
|
||||
When a live view is created with a `WITH REFRESH` clause then it will be automatically refreshed after the specified number of seconds elapse since the last refresh or trigger.
|
||||
|
||||
@ -188,7 +189,7 @@ When a live view is created with a `WITH REFRESH` clause then it will be automat
|
||||
CREATE LIVE VIEW [db.]table_name WITH REFRESH [value_in_sec] AS SELECT ...
|
||||
```
|
||||
|
||||
If the refresh value is not specified then the value specified by the `periodic_live_view_refresh` setting is used.
|
||||
If the refresh value is not specified then the value specified by the [periodic_live_view_refresh](../../../operations/settings/settings.md#periodic-live-view-refresh) setting is used.
|
||||
|
||||
**Example:**
|
||||
|
||||
@ -231,7 +232,7 @@ WATCH lv
|
||||
Code: 60. DB::Exception: Received from localhost:9000. DB::Exception: Table default.lv doesn't exist..
|
||||
```
|
||||
|
||||
### Usage
|
||||
### Usage {#live-view-usage}
|
||||
|
||||
Most common uses of live view tables include:
|
||||
|
||||
@ -240,15 +241,4 @@ Most common uses of live view tables include:
|
||||
- Watching for table changes and triggering a follow-up select queries.
|
||||
- Watching metrics from system tables using periodic refresh.
|
||||
|
||||
### Settings {#live-view-settings}
|
||||
|
||||
You can use the following settings to control the behaviour of live views.
|
||||
|
||||
- `allow_experimental_live_view` - enable live views. Default is `0`.
|
||||
- `live_view_heartbeat_interval` - the heartbeat interval in seconds to indicate live query is alive. Default is `15` seconds.
|
||||
- `max_live_view_insert_blocks_before_refresh` - maximum number of inserted blocks after which
|
||||
mergeable blocks are dropped and query is re-executed. Default is `64` inserts.
|
||||
- `temporary_live_view_timeout` - interval after which live view with timeout is deleted. Default is `5` seconds.
|
||||
- `periodic_live_view_refresh` - interval after which periodically refreshed live view is forced to refresh. Default is `60` seconds.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/statements/create/view/) <!--hide-->
|
||||
|
||||
@ -264,6 +264,10 @@ Wait until a `ReplicatedMergeTree` table will be synced with other replicas in a
|
||||
SYSTEM SYNC REPLICA [db.]replicated_merge_tree_family_table_name
|
||||
```
|
||||
|
||||
After running this statement the `[db.]replicated_merge_tree_family_table_name` fetches commands from
|
||||
the common replicated log into its own replication queue, and then the query waits till the replica processes all
|
||||
of the fetched commands.
|
||||
|
||||
### RESTART REPLICA {#query_language-system-restart-replica}
|
||||
|
||||
Provides possibility to reinitialize Zookeeper sessions state for `ReplicatedMergeTree` table, will compare current state with Zookeeper as source of true and add tasks to Zookeeper queue if needed
|
||||
|
||||
@ -17,19 +17,21 @@ WATCH [db.]live_view
|
||||
[FORMAT format]
|
||||
```
|
||||
|
||||
The `WATCH` query performs continuous data retrieval from a [live view](./create/view.md#live-view) table. Unless the `LIMIT` clause is specified it provides an infinite stream of query results from a [live view](./create/view.md#live-view).
|
||||
The `WATCH` query performs continuous data retrieval from a [LIVE VIEW](./create/view.md#live-view) table. Unless the `LIMIT` clause is specified it provides an infinite stream of query results from a [LIVE VIEW](./create/view.md#live-view).
|
||||
|
||||
```sql
|
||||
WATCH [db.]live_view
|
||||
WATCH [db.]live_view [EVENTS] [LIMIT n] [FORMAT format]
|
||||
```
|
||||
|
||||
## Virtual columns {#watch-virtual-columns}
|
||||
|
||||
The virtual `_version` column in the query result indicates the current result version.
|
||||
|
||||
**Example:**
|
||||
|
||||
```sql
|
||||
CREATE LIVE VIEW lv WITH REFRESH 5 AS SELECT now();
|
||||
WATCH lv
|
||||
WATCH lv;
|
||||
```
|
||||
|
||||
```bash
|
||||
@ -47,6 +49,8 @@ WATCH lv
|
||||
|
||||
By default, the requested data is returned to the client, while in conjunction with [INSERT INTO](../../sql-reference/statements/insert-into.md) it can be forwarded to a different table.
|
||||
|
||||
**Example:**
|
||||
|
||||
```sql
|
||||
INSERT INTO [db.]table WATCH [db.]live_view ...
|
||||
```
|
||||
@ -56,14 +60,14 @@ INSERT INTO [db.]table WATCH [db.]live_view ...
|
||||
The `EVENTS` clause can be used to obtain a short form of the `WATCH` query where instead of the query result you will just get the latest query result version.
|
||||
|
||||
```sql
|
||||
WATCH [db.]live_view EVENTS
|
||||
WATCH [db.]live_view EVENTS;
|
||||
```
|
||||
|
||||
**Example:**
|
||||
|
||||
```sql
|
||||
CREATE LIVE VIEW lv WITH REFRESH 5 AS SELECT now();
|
||||
WATCH lv EVENTS
|
||||
WATCH lv EVENTS;
|
||||
```
|
||||
|
||||
```bash
|
||||
@ -78,17 +82,17 @@ WATCH lv EVENTS
|
||||
|
||||
## LIMIT Clause {#limit-clause}
|
||||
|
||||
The `LIMIT n` clause species the number of updates the `WATCH` query should wait for before terminating. By default there is no limit on the number of updates and therefore the query will not terminate. The value of `0` indicates that the `WATCH` query should not wait for any new query results and therefore will return immediately once query is evaluated.
|
||||
The `LIMIT n` clause specifies the number of updates the `WATCH` query should wait for before terminating. By default there is no limit on the number of updates and therefore the query will not terminate. The value of `0` indicates that the `WATCH` query should not wait for any new query results and therefore will return immediately once query result is evaluated.
|
||||
|
||||
```sql
|
||||
WATCH [db.]live_view LIMIT 1
|
||||
WATCH [db.]live_view LIMIT 1;
|
||||
```
|
||||
|
||||
**Example:**
|
||||
|
||||
```sql
|
||||
CREATE LIVE VIEW lv WITH REFRESH 5 AS SELECT now();
|
||||
WATCH lv EVENTS LIMIT 1
|
||||
WATCH lv EVENTS LIMIT 1;
|
||||
```
|
||||
|
||||
```bash
|
||||
@ -102,5 +106,4 @@ WATCH lv EVENTS LIMIT 1
|
||||
The `FORMAT` clause works the same way as for the [SELECT](../../sql-reference/statements/select/format.md#format-clause).
|
||||
|
||||
!!! info "Note"
|
||||
The [JSONEachRowWithProgress](../../interfaces/formats/#jsoneachrowwithprogress) format should be used when watching [live view](./create/view.md#live-view) tables over the HTTP interface. The progress messages will be added to the output to keep the long-lived HTTP connection alive until the query result changes. The interval between progress messages is controlled using the [live_view_heartbeat_interval](./create/view.md#live-view-settings) setting.
|
||||
|
||||
The [JSONEachRowWithProgress](../../interfaces/formats.md#jsoneachrowwithprogress) format should be used when watching [LIVE VIEW](./create/view.md#live-view) tables over the HTTP interface. The progress messages will be added to the output to keep the long-lived HTTP connection alive until the query result changes. The interval between progress messages is controlled using the [live_view_heartbeat_interval](./create/view.md#live-view-settings) setting.
|
||||
|
||||
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Block a user