mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-09-20 08:40:50 +00:00
Merge remote-tracking branch 'origin/master' into HEAD
This commit is contained in:
Alexander Kuzmenkov
commit
bb45c5a8ff
19
.github/ISSUE_TEMPLATE/95_sanitizer-report.md
vendored
Normal file
19
.github/ISSUE_TEMPLATE/95_sanitizer-report.md
vendored
Normal file
@ -0,0 +1,19 @@
|
||||
---
|
||||
name: Sanitizer alert
|
||||
about: Potential issue has been found by special code instrumentation
|
||||
title: ''
|
||||
labels: testing
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
(you don't have to strictly follow this form)
|
||||
|
||||
**Describe the bug**
|
||||
A link to the report
|
||||
|
||||
**How to reproduce**
|
||||
Try to reproduce the report and copy the tables and queries involved.
|
||||
|
||||
**Error message and/or stacktrace**
|
||||
You can find additional information in server logs.
|
||||
4
.gitmodules
vendored
4
.gitmodules
vendored
@ -84,7 +84,7 @@
|
||||
url = https://github.com/google/brotli.git
|
||||
[submodule "contrib/h3"]
|
||||
path = contrib/h3
|
||||
url = https://github.com/uber/h3
|
||||
url = https://github.com/ClickHouse-Extras/h3
|
||||
[submodule "contrib/hyperscan"]
|
||||
path = contrib/hyperscan
|
||||
url = https://github.com/ClickHouse-Extras/hyperscan.git
|
||||
@ -184,7 +184,7 @@
|
||||
url = https://github.com/ClickHouse-Extras/krb5
|
||||
[submodule "contrib/cyrus-sasl"]
|
||||
path = contrib/cyrus-sasl
|
||||
url = https://github.com/cyrusimap/cyrus-sasl
|
||||
url = https://github.com/ClickHouse-Extras/cyrus-sasl
|
||||
branch = cyrus-sasl-2.1
|
||||
[submodule "contrib/croaring"]
|
||||
path = contrib/croaring
|
||||
|
||||
45
.pylintrc
Normal file
45
.pylintrc
Normal file
@ -0,0 +1,45 @@
|
||||
# vim: ft=config
|
||||
|
||||
[BASIC]
|
||||
max-module-lines=2000
|
||||
# due to SQL
|
||||
max-line-length=200
|
||||
# Drop/decrease them one day:
|
||||
max-branches=50
|
||||
max-nested-blocks=10
|
||||
max-statements=200
|
||||
|
||||
[FORMAT]
|
||||
ignore-long-lines = (# )?<?https?://\S+>?$
|
||||
|
||||
[MESSAGES CONTROL]
|
||||
disable = bad-continuation,
|
||||
missing-docstring,
|
||||
bad-whitespace,
|
||||
too-few-public-methods,
|
||||
invalid-name,
|
||||
too-many-arguments,
|
||||
keyword-arg-before-vararg,
|
||||
too-many-locals,
|
||||
too-many-instance-attributes,
|
||||
cell-var-from-loop,
|
||||
fixme,
|
||||
too-many-public-methods,
|
||||
wildcard-import,
|
||||
unused-wildcard-import,
|
||||
singleton-comparison,
|
||||
# pytest.mark.parametrize is not callable (not-callable)
|
||||
not-callable,
|
||||
# https://github.com/PyCQA/pylint/issues/3882
|
||||
# [Python 3.9] Value 'Optional' is unsubscriptable (unsubscriptable-object) (also Union)
|
||||
unsubscriptable-object,
|
||||
# Drop them one day:
|
||||
redefined-outer-name,
|
||||
broad-except,
|
||||
bare-except,
|
||||
no-else-return,
|
||||
global-statement
|
||||
|
||||
[SIMILARITIES]
|
||||
# due to SQL
|
||||
min-similarity-lines=1000
|
||||
4
LICENSE
4
LICENSE
@ -1,4 +1,4 @@
|
||||
Copyright 2016-2020 Yandex LLC
|
||||
Copyright 2016-2021 Yandex LLC
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
@ -188,7 +188,7 @@ Copyright 2016-2020 Yandex LLC
|
||||
same "printed page" as the copyright notice for easier
|
||||
identification within third-party archives.
|
||||
|
||||
Copyright 2016-2020 Yandex LLC
|
||||
Copyright 2016-2021 Yandex LLC
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
|
||||
@ -16,5 +16,4 @@ ClickHouse® is an open-source column-oriented database management system that a
|
||||
* You can also [fill this form](https://clickhouse.tech/#meet) to meet Yandex ClickHouse team in person.
|
||||
|
||||
## Upcoming Events
|
||||
* [SF Bay Area ClickHouse Virtual Office Hours (online)](https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup/events/274273549/) on 20 January 2020.
|
||||
* [Chinese ClickHouse Meetup (online)](http://hdxu.cn/8KxZE) on 6 February 2020.
|
||||
* [Chinese ClickHouse Meetup (online)](http://hdxu.cn/8KxZE) on 6 February 2021.
|
||||
|
||||
@ -15,9 +15,13 @@ currently being supported with security updates:
|
||||
| 20.4 | :x: |
|
||||
| 20.5 | :x: |
|
||||
| 20.6 | :x: |
|
||||
| 20.7 | :white_check_mark: |
|
||||
| 20.7 | :x: |
|
||||
| 20.8 | :white_check_mark: |
|
||||
| 20.9 | :white_check_mark: |
|
||||
| 20.9 | :x: |
|
||||
| 20.10 | :x: |
|
||||
| 20.11 | :white_check_mark: |
|
||||
| 20.12 | :white_check_mark: |
|
||||
| 21.1 | :white_check_mark: |
|
||||
|
||||
## Reporting a Vulnerability
|
||||
|
||||
|
||||
@ -229,8 +229,12 @@ public:
|
||||
|
||||
inline UInt8 daysInMonth(UInt16 year, UInt8 month) const
|
||||
{
|
||||
UInt16 idx = year - DATE_LUT_MIN_YEAR;
|
||||
if (unlikely(idx >= DATE_LUT_YEARS))
|
||||
return 31; /// Implementation specific behaviour on overflow.
|
||||
|
||||
/// 32 makes arithmetic more simple.
|
||||
DayNum any_day_of_month = DayNum(years_lut[year - DATE_LUT_MIN_YEAR] + 32 * (month - 1));
|
||||
DayNum any_day_of_month = DayNum(years_lut[idx] + 32 * (month - 1));
|
||||
return lut[any_day_of_month].days_in_month;
|
||||
}
|
||||
|
||||
@ -767,7 +771,7 @@ public:
|
||||
/// Adding calendar intervals.
|
||||
/// Implementation specific behaviour when delta is too big.
|
||||
|
||||
inline time_t addDays(time_t t, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED time_t addDays(time_t t, Int64 delta) const
|
||||
{
|
||||
DayNum index = findIndex(t);
|
||||
time_t time_offset = toHour(t) * 3600 + toMinute(t) * 60 + toSecond(t);
|
||||
@ -780,7 +784,7 @@ public:
|
||||
return lut[index].date + time_offset;
|
||||
}
|
||||
|
||||
inline time_t addWeeks(time_t t, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED time_t addWeeks(time_t t, Int64 delta) const
|
||||
{
|
||||
return addDays(t, delta * 7);
|
||||
}
|
||||
@ -812,7 +816,7 @@ public:
|
||||
return lut[result_day].date + time_offset;
|
||||
}
|
||||
|
||||
inline DayNum addMonths(DayNum d, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED DayNum addMonths(DayNum d, Int64 delta) const
|
||||
{
|
||||
const Values & values = lut[d];
|
||||
|
||||
@ -836,18 +840,18 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
inline time_t addQuarters(time_t t, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED time_t addQuarters(time_t t, Int64 delta) const
|
||||
{
|
||||
return addMonths(t, delta * 3);
|
||||
}
|
||||
|
||||
inline DayNum addQuarters(DayNum d, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED DayNum addQuarters(DayNum d, Int64 delta) const
|
||||
{
|
||||
return addMonths(d, delta * 3);
|
||||
}
|
||||
|
||||
/// Saturation can occur if 29 Feb is mapped to non-leap year.
|
||||
inline time_t addYears(time_t t, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED time_t addYears(time_t t, Int64 delta) const
|
||||
{
|
||||
DayNum result_day = addYears(toDayNum(t), delta);
|
||||
|
||||
@ -859,7 +863,7 @@ public:
|
||||
return lut[result_day].date + time_offset;
|
||||
}
|
||||
|
||||
inline DayNum addYears(DayNum d, Int64 delta) const
|
||||
inline NO_SANITIZE_UNDEFINED DayNum addYears(DayNum d, Int64 delta) const
|
||||
{
|
||||
const Values & values = lut[d];
|
||||
|
||||
|
||||
@ -12,6 +12,8 @@
|
||||
#include <dlfcn.h>
|
||||
#include <fcntl.h>
|
||||
#include <fstream>
|
||||
#include <fmt/format.h>
|
||||
|
||||
|
||||
namespace
|
||||
{
|
||||
@ -189,8 +191,8 @@ void ReplxxLineReader::openEditor()
|
||||
return;
|
||||
}
|
||||
|
||||
String editor = std::getenv("EDITOR");
|
||||
if (editor.empty())
|
||||
const char * editor = std::getenv("EDITOR");
|
||||
if (!editor || !*editor)
|
||||
editor = "vim";
|
||||
|
||||
replxx::Replxx::State state(rx.get_state());
|
||||
@ -204,7 +206,7 @@ void ReplxxLineReader::openEditor()
|
||||
if ((-1 == res || 0 == res) && errno != EINTR)
|
||||
{
|
||||
rx.print("Cannot write to temporary query file %s: %s\n", filename, errnoToString(errno).c_str());
|
||||
return;
|
||||
break;
|
||||
}
|
||||
bytes_written += res;
|
||||
}
|
||||
@ -215,7 +217,7 @@ void ReplxxLineReader::openEditor()
|
||||
return;
|
||||
}
|
||||
|
||||
if (0 == execute(editor + " " + filename))
|
||||
if (0 == execute(fmt::format("{} {}", editor, filename)))
|
||||
{
|
||||
try
|
||||
{
|
||||
|
||||
@ -84,10 +84,12 @@
|
||||
# define NO_SANITIZE_UNDEFINED __attribute__((__no_sanitize__("undefined")))
|
||||
# define NO_SANITIZE_ADDRESS __attribute__((__no_sanitize__("address")))
|
||||
# define NO_SANITIZE_THREAD __attribute__((__no_sanitize__("thread")))
|
||||
# define ALWAYS_INLINE_NO_SANITIZE_UNDEFINED __attribute__((__always_inline__, __no_sanitize__("undefined")))
|
||||
#else /// It does not work in GCC. GCC 7 cannot recognize this attribute and GCC 8 simply ignores it.
|
||||
# define NO_SANITIZE_UNDEFINED
|
||||
# define NO_SANITIZE_ADDRESS
|
||||
# define NO_SANITIZE_THREAD
|
||||
# define ALWAYS_INLINE_NO_SANITIZE_UNDEFINED ALWAYS_INLINE
|
||||
#endif
|
||||
|
||||
/// A template function for suppressing warnings about unused variables or function results.
|
||||
|
||||
@ -104,8 +104,3 @@ template <> struct is_big_int<wUInt256> { static constexpr bool value = true; };
|
||||
template <typename T>
|
||||
inline constexpr bool is_big_int_v = is_big_int<T>::value;
|
||||
|
||||
template <typename To, typename From>
|
||||
inline To bigint_cast(const From & x [[maybe_unused]])
|
||||
{
|
||||
return static_cast<To>(x);
|
||||
}
|
||||
|
||||
@ -230,10 +230,10 @@ public:
|
||||
}
|
||||
else
|
||||
{
|
||||
siginfo_t info;
|
||||
ucontext_t context;
|
||||
siginfo_t info{};
|
||||
ucontext_t context{};
|
||||
StackTrace stack_trace(NoCapture{});
|
||||
UInt32 thread_num;
|
||||
UInt32 thread_num{};
|
||||
std::string query_id;
|
||||
DB::ThreadStatus * thread_ptr{};
|
||||
|
||||
|
||||
@ -27,9 +27,12 @@ if (GLIBC_COMPATIBILITY)
|
||||
list(APPEND glibc_compatibility_sources musl/getentropy.c)
|
||||
endif()
|
||||
|
||||
add_library (clickhouse_memcpy OBJECT
|
||||
${ClickHouse_SOURCE_DIR}/contrib/FastMemcpy/memcpy_wrapper.c
|
||||
)
|
||||
if (NOT ARCH_ARM)
|
||||
# clickhouse_memcpy don't support ARCH_ARM, see https://github.com/ClickHouse/ClickHouse/issues/18951
|
||||
add_library (clickhouse_memcpy OBJECT
|
||||
${ClickHouse_SOURCE_DIR}/contrib/FastMemcpy/memcpy_wrapper.c
|
||||
)
|
||||
endif()
|
||||
|
||||
# Need to omit frame pointers to match the performance of glibc
|
||||
set (CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fomit-frame-pointer")
|
||||
|
||||
@ -31,7 +31,7 @@ static void *volatile vdso_func = (void *)getcpu_init;
|
||||
int sched_getcpu(void)
|
||||
{
|
||||
int r;
|
||||
unsigned cpu;
|
||||
unsigned cpu = 0;
|
||||
|
||||
#ifdef VDSO_GETCPU_SYM
|
||||
getcpu_f f = (getcpu_f)vdso_func;
|
||||
|
||||
@ -118,7 +118,9 @@ TRAP(logout)
|
||||
TRAP(logwtmp)
|
||||
TRAP(lrand48)
|
||||
TRAP(mallinfo)
|
||||
TRAP(mallopt)
|
||||
#if !defined(SANITIZER)
|
||||
TRAP(mallopt) // Used by tsan
|
||||
#endif
|
||||
TRAP(mblen)
|
||||
TRAP(mbrlen)
|
||||
TRAP(mbrtowc)
|
||||
@ -193,7 +195,9 @@ TRAP(dbm_nextkey)
|
||||
TRAP(dbm_open)
|
||||
TRAP(dbm_store)
|
||||
TRAP(dirname)
|
||||
TRAP(dlerror)
|
||||
#if !defined(SANITIZER)
|
||||
TRAP(dlerror) // Used by tsan
|
||||
#endif
|
||||
TRAP(ftw)
|
||||
TRAP(getc_unlocked)
|
||||
//TRAP(getenv) // Ok at program startup
|
||||
|
||||
@ -3,7 +3,6 @@ add_library (mysqlxx
|
||||
Exception.cpp
|
||||
Query.cpp
|
||||
ResultBase.cpp
|
||||
StoreQueryResult.cpp
|
||||
UseQueryResult.cpp
|
||||
Row.cpp
|
||||
Value.cpp
|
||||
|
||||
@ -116,8 +116,8 @@ void Connection::connect(const char* db,
|
||||
if (!mysql_real_connect(driver.get(), server, user, password, db, port, ifNotEmpty(socket), driver->client_flag))
|
||||
throw ConnectionFailed(errorMessage(driver.get()), mysql_errno(driver.get()));
|
||||
|
||||
/// Sets UTF-8 as default encoding.
|
||||
if (mysql_set_character_set(driver.get(), "UTF8"))
|
||||
/// Sets UTF-8 as default encoding. See https://mariadb.com/kb/en/mysql_set_character_set/
|
||||
if (mysql_set_character_set(driver.get(), "utf8mb4"))
|
||||
throw ConnectionFailed(errorMessage(driver.get()), mysql_errno(driver.get()));
|
||||
|
||||
is_connected = true;
|
||||
|
||||
@ -39,7 +39,6 @@ private:
|
||||
/** MySQL connection.
|
||||
* Usage:
|
||||
* mysqlxx::Connection connection("Test", "127.0.0.1", "root", "qwerty", 3306);
|
||||
* std::cout << connection.query("SELECT 'Hello, World!'").store().at(0).at(0).getString() << std::endl;
|
||||
*
|
||||
* Or with Poco library configuration:
|
||||
* mysqlxx::Connection connection("mysql_params");
|
||||
|
||||
@ -71,16 +71,6 @@ UseQueryResult Query::use()
|
||||
return UseQueryResult(res, conn, this);
|
||||
}
|
||||
|
||||
StoreQueryResult Query::store()
|
||||
{
|
||||
executeImpl();
|
||||
MYSQL_RES * res = mysql_store_result(conn->getDriver());
|
||||
if (!res)
|
||||
checkError(conn->getDriver());
|
||||
|
||||
return StoreQueryResult(res, conn, this);
|
||||
}
|
||||
|
||||
void Query::execute()
|
||||
{
|
||||
executeImpl();
|
||||
|
||||
@ -3,7 +3,6 @@
|
||||
#include <sstream>
|
||||
|
||||
#include <mysqlxx/UseQueryResult.h>
|
||||
#include <mysqlxx/StoreQueryResult.h>
|
||||
|
||||
|
||||
namespace mysqlxx
|
||||
@ -46,11 +45,6 @@ public:
|
||||
*/
|
||||
UseQueryResult use();
|
||||
|
||||
/** Выполнить запрос с загрузкой на клиента всех строк.
|
||||
* Требуется оперативка, чтобы вместить весь результат, зато к строкам можно обращаться в произвольном порядке.
|
||||
*/
|
||||
StoreQueryResult store();
|
||||
|
||||
/// Значение auto increment после последнего INSERT-а.
|
||||
UInt64 insertID();
|
||||
|
||||
|
||||
@ -9,7 +9,7 @@ class Connection;
|
||||
class Query;
|
||||
|
||||
|
||||
/** Базовый класс для UseQueryResult и StoreQueryResult.
|
||||
/** Базовый класс для UseQueryResult.
|
||||
* Содержит общую часть реализации,
|
||||
* Ссылается на Connection. Если уничтожить Connection, то пользоваться ResultBase и любым результатом нельзя.
|
||||
* Использовать объект можно только для результата одного запроса!
|
||||
|
||||
@ -35,7 +35,7 @@ public:
|
||||
{
|
||||
}
|
||||
|
||||
/** Для того, чтобы создать Row, используйте соответствующие методы UseQueryResult или StoreQueryResult. */
|
||||
/** Для того, чтобы создать Row, используйте соответствующие методы UseQueryResult. */
|
||||
Row(MYSQL_ROW row_, ResultBase * res_, MYSQL_LENGTHS lengths_)
|
||||
: row(row_), res(res_), lengths(lengths_)
|
||||
{
|
||||
|
||||
@ -1,30 +0,0 @@
|
||||
#if __has_include(<mysql.h>)
|
||||
#include <mysql.h>
|
||||
#else
|
||||
#include <mysql/mysql.h>
|
||||
#endif
|
||||
|
||||
#include <mysqlxx/Connection.h>
|
||||
#include <mysqlxx/StoreQueryResult.h>
|
||||
|
||||
|
||||
namespace mysqlxx
|
||||
{
|
||||
|
||||
StoreQueryResult::StoreQueryResult(MYSQL_RES * res_, Connection * conn_, const Query * query_) : ResultBase(res_, conn_, query_)
|
||||
{
|
||||
UInt64 rows = mysql_num_rows(res);
|
||||
reserve(rows);
|
||||
lengths.resize(rows * num_fields);
|
||||
|
||||
for (UInt64 i = 0; MYSQL_ROW row = mysql_fetch_row(res); ++i)
|
||||
{
|
||||
MYSQL_LENGTHS lengths_for_row = mysql_fetch_lengths(res);
|
||||
memcpy(&lengths[i * num_fields], lengths_for_row, sizeof(lengths[0]) * num_fields);
|
||||
|
||||
push_back(Row(row, this, &lengths[i * num_fields]));
|
||||
}
|
||||
checkError(conn->getDriver());
|
||||
}
|
||||
|
||||
}
|
||||
@ -1,45 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include <vector>
|
||||
|
||||
#include <mysqlxx/ResultBase.h>
|
||||
#include <mysqlxx/Row.h>
|
||||
|
||||
|
||||
namespace mysqlxx
|
||||
{
|
||||
|
||||
class Connection;
|
||||
|
||||
|
||||
/** Результат выполнения запроса, загруженный полностью на клиента.
|
||||
* Это требует оперативку, чтобы вместить весь результат,
|
||||
* но зато реализует произвольный доступ к строкам по индексу.
|
||||
* Если размер результата большой - используйте лучше UseQueryResult.
|
||||
* Объект содержит ссылку на Connection.
|
||||
* Если уничтожить Connection, то объект становится некорректным и все строки результата - тоже.
|
||||
* Если задать следующий запрос в соединении, то объект и все строки тоже становятся некорректными.
|
||||
* Использовать объект можно только для результата одного запроса!
|
||||
* (При попытке присвоить объекту результат следующего запроса - UB.)
|
||||
*/
|
||||
class StoreQueryResult : public std::vector<Row>, public ResultBase
|
||||
{
|
||||
public:
|
||||
StoreQueryResult(MYSQL_RES * res_, Connection * conn_, const Query * query_);
|
||||
|
||||
size_t num_rows() const { return size(); }
|
||||
|
||||
private:
|
||||
|
||||
/** Не смотря на то, что весь результат выполнения запроса загружается на клиента,
|
||||
* и все указатели MYSQL_ROW на отдельные строки различные,
|
||||
* при этом функция mysql_fetch_lengths() возвращает длины
|
||||
* для текущей строки по одному и тому же адресу.
|
||||
* То есть, чтобы можно было пользоваться несколькими Row одновременно,
|
||||
* необходимо заранее куда-то сложить все длины.
|
||||
*/
|
||||
using Lengths = std::vector<MYSQL_LENGTH>;
|
||||
Lengths lengths;
|
||||
};
|
||||
|
||||
}
|
||||
@ -12,8 +12,7 @@ class Connection;
|
||||
|
||||
/** Результат выполнения запроса, предназначенный для чтения строк, одна за другой.
|
||||
* В памяти при этом хранится только одна, текущая строка.
|
||||
* В отличие от StoreQueryResult, произвольный доступ к строкам невозможен,
|
||||
* а также, при чтении следующей строки, предыдущая становится некорректной.
|
||||
* При чтении следующей строки, предыдущая становится некорректной.
|
||||
* Вы обязаны прочитать все строки из результата
|
||||
* (вызывать функцию fetch(), пока она не вернёт значение, преобразующееся к false),
|
||||
* иначе при следующем запросе будет выкинуто исключение с текстом "Commands out of sync".
|
||||
|
||||
@ -25,7 +25,7 @@ class ResultBase;
|
||||
|
||||
/** Represents a single value read from MySQL.
|
||||
* It doesn't owns the value. It's just a wrapper of a pair (const char *, size_t).
|
||||
* If the UseQueryResult/StoreQueryResult or Connection is destroyed,
|
||||
* If the UseQueryResult or Connection is destroyed,
|
||||
* or you have read the next Row while using UseQueryResult, then the object is invalidated.
|
||||
* Allows to transform (parse) the value to various data types:
|
||||
* - with getUInt(), getString(), ... (recommended);
|
||||
|
||||
@ -38,15 +38,6 @@ int main(int, char **)
|
||||
}
|
||||
}
|
||||
|
||||
{
|
||||
mysqlxx::Query query = connection.query();
|
||||
query << "SELECT 1234567890 abc, 12345.67890 def UNION ALL SELECT 9876543210, 98765.43210";
|
||||
mysqlxx::StoreQueryResult result = query.store();
|
||||
|
||||
std::cerr << result.at(0)["abc"].getUInt() << ", " << result.at(0)["def"].getDouble() << std::endl
|
||||
<< result.at(1)["abc"].getUInt() << ", " << result.at(1)["def"].getDouble() << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
mysqlxx::UseQueryResult result = connection.query("SELECT 'abc\\\\def' x").use();
|
||||
mysqlxx::Row row = result.fetch();
|
||||
@ -54,27 +45,6 @@ int main(int, char **)
|
||||
std::cerr << row << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
mysqlxx::Query query = connection.query("SEL");
|
||||
query << "ECT 1";
|
||||
|
||||
std::cerr << query.store().at(0).at(0) << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
/// Копирование Query
|
||||
mysqlxx::Query query = connection.query("SELECT 'Ok' x");
|
||||
using Queries = std::vector<mysqlxx::Query>;
|
||||
Queries queries;
|
||||
queries.push_back(query);
|
||||
|
||||
for (auto & q : queries)
|
||||
{
|
||||
std::cerr << q.str() << std::endl;
|
||||
std::cerr << q.store().at(0) << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
{
|
||||
/// Копирование Query
|
||||
mysqlxx::Query query1 = connection.query("SELECT");
|
||||
@ -84,62 +54,6 @@ int main(int, char **)
|
||||
std::cerr << query1.str() << ", " << query2.str() << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
/// Копирование Query
|
||||
using Queries = std::list<mysqlxx::Query>;
|
||||
Queries queries;
|
||||
queries.push_back(connection.query("SELECT"));
|
||||
mysqlxx::Query & qref = queries.back();
|
||||
qref << " 1";
|
||||
|
||||
for (auto & query : queries)
|
||||
{
|
||||
std::cerr << query.str() << std::endl;
|
||||
std::cerr << query.store().at(0) << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
{
|
||||
/// Транзакции
|
||||
connection.query("DROP TABLE IF EXISTS tmp").execute();
|
||||
connection.query("CREATE TABLE tmp (x INT, PRIMARY KEY (x)) ENGINE = InnoDB").execute();
|
||||
|
||||
mysqlxx::Transaction trans(connection);
|
||||
connection.query("INSERT INTO tmp VALUES (1)").execute();
|
||||
|
||||
std::cerr << connection.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
|
||||
trans.rollback();
|
||||
|
||||
std::cerr << connection.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
/// Транзакции
|
||||
connection.query("DROP TABLE IF EXISTS tmp").execute();
|
||||
connection.query("CREATE TABLE tmp (x INT, PRIMARY KEY (x)) ENGINE = InnoDB").execute();
|
||||
|
||||
{
|
||||
mysqlxx::Transaction trans(connection);
|
||||
connection.query("INSERT INTO tmp VALUES (1)").execute();
|
||||
std::cerr << connection.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
}
|
||||
|
||||
std::cerr << connection.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
/// Транзакции
|
||||
mysqlxx::Connection connection2("test", "127.0.0.1", "root", "qwerty", 3306);
|
||||
connection2.query("DROP TABLE IF EXISTS tmp").execute();
|
||||
connection2.query("CREATE TABLE tmp (x INT, PRIMARY KEY (x)) ENGINE = InnoDB").execute();
|
||||
|
||||
mysqlxx::Transaction trans(connection2);
|
||||
connection2.query("INSERT INTO tmp VALUES (1)").execute();
|
||||
std::cerr << connection2.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
}
|
||||
std::cerr << connection.query("SELECT * FROM tmp").store().size() << std::endl;
|
||||
|
||||
{
|
||||
/// NULL
|
||||
mysqlxx::Null<int> x = mysqlxx::null;
|
||||
@ -152,59 +66,6 @@ int main(int, char **)
|
||||
std::cerr << (x == 1 ? "Ok" : "Fail") << std::endl;
|
||||
std::cerr << (x.isNull() ? "Fail" : "Ok") << std::endl;
|
||||
}
|
||||
|
||||
{
|
||||
/// Исключения при попытке достать значение не того типа
|
||||
try
|
||||
{
|
||||
connection.query("SELECT -1").store().at(0).at(0).getUInt();
|
||||
std::cerr << "Fail" << std::endl;
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
std::cerr << "Ok, " << e.message() << std::endl;
|
||||
}
|
||||
|
||||
try
|
||||
{
|
||||
connection.query("SELECT 'xxx'").store().at(0).at(0).getInt();
|
||||
std::cerr << "Fail" << std::endl;
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
std::cerr << "Ok, " << e.message() << std::endl;
|
||||
}
|
||||
|
||||
try
|
||||
{
|
||||
connection.query("SELECT NULL").store().at(0).at(0).getString();
|
||||
std::cerr << "Fail" << std::endl;
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
std::cerr << "Ok, " << e.message() << std::endl;
|
||||
}
|
||||
|
||||
try
|
||||
{
|
||||
connection.query("SELECT 123").store().at(0).at(0).getDate();
|
||||
std::cerr << "Fail" << std::endl;
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
std::cerr << "Ok, " << e.message() << std::endl;
|
||||
}
|
||||
|
||||
try
|
||||
{
|
||||
connection.query("SELECT '2011-01-01'").store().at(0).at(0).getDateTime();
|
||||
std::cerr << "Fail" << std::endl;
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
std::cerr << "Ok, " << e.message() << std::endl;
|
||||
}
|
||||
}
|
||||
}
|
||||
catch (const mysqlxx::Exception & e)
|
||||
{
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
# This strings autochanged from release_lib.sh:
|
||||
SET(VERSION_REVISION 54445)
|
||||
SET(VERSION_REVISION 54448)
|
||||
SET(VERSION_MAJOR 21)
|
||||
SET(VERSION_MINOR 1)
|
||||
SET(VERSION_MINOR 3)
|
||||
SET(VERSION_PATCH 1)
|
||||
SET(VERSION_GITHASH 667dd0cf0ccecdaa6f334177b7ece2f53bd196a1)
|
||||
SET(VERSION_DESCRIBE v21.1.1.5646-prestable)
|
||||
SET(VERSION_STRING 21.1.1.5646)
|
||||
SET(VERSION_GITHASH ef72ba7349f230321750c13ee63b49a11a7c0adc)
|
||||
SET(VERSION_DESCRIBE v21.3.1.1-prestable)
|
||||
SET(VERSION_STRING 21.3.1.1)
|
||||
# end of autochange
|
||||
|
||||
@ -1,10 +1,4 @@
|
||||
if (NOT ARCH_ARM AND OPENSSL_FOUND)
|
||||
option (ENABLE_RDKAFKA "Enable kafka" ${ENABLE_LIBRARIES})
|
||||
elseif(ENABLE_RDKAFKA AND NOT OPENSSL_FOUND)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't use librdkafka without SSL")
|
||||
elseif(ENABLE_RDKAFKA)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "librdafka is not supported on ARM and on FreeBSD")
|
||||
endif ()
|
||||
option (ENABLE_RDKAFKA "Enable kafka" ${ENABLE_LIBRARIES})
|
||||
|
||||
if (NOT ENABLE_RDKAFKA)
|
||||
if (USE_INTERNAL_RDKAFKA_LIBRARY)
|
||||
@ -13,11 +7,7 @@ if (NOT ENABLE_RDKAFKA)
|
||||
return()
|
||||
endif()
|
||||
|
||||
if (NOT ARCH_ARM)
|
||||
option (USE_INTERNAL_RDKAFKA_LIBRARY "Set to FALSE to use system librdkafka instead of the bundled" ${NOT_UNBUNDLED})
|
||||
elseif(USE_INTERNAL_RDKAFKA_LIBRARY)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Can't use internal librdkafka with ARCH_ARM=${ARCH_ARM}")
|
||||
endif ()
|
||||
option (USE_INTERNAL_RDKAFKA_LIBRARY "Set to FALSE to use system librdkafka instead of the bundled" ${NOT_UNBUNDLED})
|
||||
|
||||
if (NOT EXISTS "${ClickHouse_SOURCE_DIR}/contrib/cppkafka/CMakeLists.txt")
|
||||
if(USE_INTERNAL_RDKAFKA_LIBRARY)
|
||||
@ -67,14 +57,12 @@ if (RDKAFKA_LIB AND RDKAFKA_INCLUDE_DIR)
|
||||
if (LZ4_LIBRARY)
|
||||
list (APPEND RDKAFKA_LIBRARY ${LZ4_LIBRARY})
|
||||
endif ()
|
||||
elseif (NOT MISSING_INTERNAL_RDKAFKA_LIBRARY AND NOT MISSING_INTERNAL_CPPKAFKA_LIBRARY AND NOT ARCH_ARM)
|
||||
elseif (NOT MISSING_INTERNAL_RDKAFKA_LIBRARY AND NOT MISSING_INTERNAL_CPPKAFKA_LIBRARY)
|
||||
set (USE_INTERNAL_RDKAFKA_LIBRARY 1)
|
||||
set (RDKAFKA_INCLUDE_DIR "${ClickHouse_SOURCE_DIR}/contrib/librdkafka/src")
|
||||
set (RDKAFKA_LIBRARY rdkafka)
|
||||
set (CPPKAFKA_LIBRARY cppkafka)
|
||||
set (USE_RDKAFKA 1)
|
||||
elseif(ARCH_ARM)
|
||||
message (${RECONFIGURE_MESSAGE_LEVEL} "Using internal rdkafka on ARM is not supported")
|
||||
endif ()
|
||||
|
||||
message (STATUS "Using librdkafka=${USE_RDKAFKA}: ${RDKAFKA_INCLUDE_DIR} : ${RDKAFKA_LIBRARY} ${CPPKAFKA_LIBRARY}")
|
||||
|
||||
@ -35,6 +35,7 @@ if (NOT ZLIB_FOUND AND NOT MISSING_INTERNAL_ZLIB_LIBRARY)
|
||||
set (ZLIB_INCLUDE_DIRECTORIES ${ZLIB_INCLUDE_DIR}) # for protobuf
|
||||
set (ZLIB_FOUND 1) # for poco
|
||||
set (ZLIB_LIBRARIES zlib CACHE INTERNAL "")
|
||||
set (ZLIB_LIBRARY_NAME ${ZLIB_LIBRARIES}) # for cassandra
|
||||
set (ZLIB_NAME "${INTERNAL_ZLIB_NAME}")
|
||||
endif ()
|
||||
|
||||
|
||||
2
contrib/aws
vendored
2
contrib/aws
vendored
@ -1 +1 @@
|
||||
Subproject commit a220591e335923ce1c19bbf9eb925787f7ab6c13
|
||||
Subproject commit 7d48b2c8193679cc4516e5bd68ae4a64b94dae7d
|
||||
2
contrib/cassandra
vendored
2
contrib/cassandra
vendored
@ -1 +1 @@
|
||||
Subproject commit d10187efb25b26da391def077edf3c6f2f3a23dd
|
||||
Subproject commit b446d7eb68e6962f431e2b3771313bfe9a2bbd93
|
||||
2
contrib/h3
vendored
2
contrib/h3
vendored
@ -1 +1 @@
|
||||
Subproject commit 6cfd649e8c0d3ed913e8aae928a669fc3b8a2365
|
||||
Subproject commit e209086ae1b5477307f545a0f6111780edc59940
|
||||
@ -16,6 +16,7 @@ ${H3_SOURCE_DIR}/lib/mathExtensions.c
|
||||
${H3_SOURCE_DIR}/lib/polygon.c
|
||||
${H3_SOURCE_DIR}/lib/vec2d.c
|
||||
${H3_SOURCE_DIR}/lib/vec3d.c
|
||||
${H3_SOURCE_DIR}/lib/vertex.c
|
||||
${H3_SOURCE_DIR}/lib/vertexGraph.c
|
||||
)
|
||||
|
||||
|
||||
2
contrib/hyperscan
vendored
2
contrib/hyperscan
vendored
@ -1 +1 @@
|
||||
Subproject commit 3907fd00ee8b2538739768fa9533f8635a276531
|
||||
Subproject commit e9f08df0213fc637aac0a5bbde9beeaeba2fe9fa
|
||||
2
contrib/libpq
vendored
2
contrib/libpq
vendored
@ -1 +1 @@
|
||||
Subproject commit 8e7e905854714a7fbb49c124dbc45c7bd4b98e07
|
||||
Subproject commit 1f9c286dba60809edb64e384d6727d80d269b6cf
|
||||
@ -50,12 +50,12 @@ set(SRCS
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_request.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_roundrobin_assignor.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sasl.c
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_cyrus.c # optionally included below
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_oauthbearer.c
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_cyrus.c # optionally included below
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_oauthbearer.c # optionally included below
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_plain.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_scram.c
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_scram.c # optionally included below
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_win32.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_ssl.c
|
||||
# ${RDKAFKA_SOURCE_DIR}/rdkafka_ssl.c # optionally included below
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sticky_assignor.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_subscription.c
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_timer.c
|
||||
@ -82,10 +82,33 @@ set(SRCS
|
||||
|
||||
if(${ENABLE_CYRUS_SASL})
|
||||
message (STATUS "librdkafka with SASL support")
|
||||
set(SRCS
|
||||
${SRCS}
|
||||
${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_cyrus.c # needed to support Kerberos, requires cyrus-sasl
|
||||
)
|
||||
set(WITH_SASL_CYRUS 1)
|
||||
endif()
|
||||
|
||||
if(OPENSSL_FOUND)
|
||||
message (STATUS "librdkafka with SSL support")
|
||||
set(WITH_SSL 1)
|
||||
|
||||
if(${ENABLE_CYRUS_SASL})
|
||||
set(WITH_SASL_SCRAM 1)
|
||||
set(WITH_SASL_OAUTHBEARER 1)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
if(WITH_SSL)
|
||||
list(APPEND SRCS ${RDKAFKA_SOURCE_DIR}/rdkafka_ssl.c)
|
||||
endif()
|
||||
|
||||
if(WITH_SASL_CYRUS)
|
||||
list(APPEND SRCS ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_cyrus.c) # needed to support Kerberos, requires cyrus-sasl
|
||||
endif()
|
||||
|
||||
if(WITH_SASL_SCRAM)
|
||||
list(APPEND SRCS ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_scram.c)
|
||||
endif()
|
||||
|
||||
if(WITH_SASL_OAUTHBEARER)
|
||||
list(APPEND SRCS ${RDKAFKA_SOURCE_DIR}/rdkafka_sasl_oauthbearer.c)
|
||||
endif()
|
||||
|
||||
add_library(rdkafka ${SRCS})
|
||||
@ -101,7 +124,6 @@ if(OPENSSL_SSL_LIBRARY AND OPENSSL_CRYPTO_LIBRARY)
|
||||
endif()
|
||||
if(${ENABLE_CYRUS_SASL})
|
||||
target_link_libraries(rdkafka PRIVATE ${CYRUS_SASL_LIBRARY})
|
||||
set(WITH_SASL_CYRUS 1)
|
||||
endif()
|
||||
|
||||
file(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/auxdir)
|
||||
|
||||
@ -1,7 +1,6 @@
|
||||
// Originally generated by ./configure
|
||||
#ifndef _CONFIG_H_
|
||||
#define _CONFIG_H_
|
||||
#define ARCH "x86_64"
|
||||
#define BUILT_WITH "GCC GXX PKGCONFIG OSXLD LIBDL PLUGINS ZLIB SSL SASL_CYRUS ZSTD HDRHISTOGRAM LZ4_EXT SNAPPY SOCKEM SASL_SCRAM CRC32C_HW"
|
||||
|
||||
#define CPU "generic"
|
||||
@ -60,14 +59,14 @@
|
||||
// WITH_SOCKEM
|
||||
#define WITH_SOCKEM 1
|
||||
// libssl
|
||||
#define WITH_SSL 1
|
||||
#cmakedefine WITH_SSL 1
|
||||
// WITH_SASL_SCRAM
|
||||
#define WITH_SASL_SCRAM 1
|
||||
#cmakedefine WITH_SASL_SCRAM 1
|
||||
// WITH_SASL_OAUTHBEARER
|
||||
#define WITH_SASL_OAUTHBEARER 1
|
||||
#cmakedefine WITH_SASL_OAUTHBEARER 1
|
||||
#cmakedefine WITH_SASL_CYRUS 1
|
||||
// crc32chw
|
||||
#if !defined(__PPC__)
|
||||
#if !defined(__PPC__) && (!defined(__aarch64__) || defined(__ARM_FEATURE_CRC32))
|
||||
#define WITH_CRC32C_HW 1
|
||||
#endif
|
||||
// regex
|
||||
|
||||
2
contrib/libuv
vendored
2
contrib/libuv
vendored
@ -1 +1 @@
|
||||
Subproject commit bc14c44b6269c458f2cc7e09eb300f4b64899903
|
||||
Subproject commit e2e9b7e9f978ce8a1367b5fe781d97d1ce9f94ab
|
||||
2
contrib/poco
vendored
2
contrib/poco
vendored
@ -1 +1 @@
|
||||
Subproject commit 2c32e17c7dfee1f8bf24227b697cdef5fddf0823
|
||||
Subproject commit e11f3c971570cf6a31006cd21cadf41a259c360a
|
||||
4
debian/changelog
vendored
4
debian/changelog
vendored
@ -1,5 +1,5 @@
|
||||
clickhouse (21.1.0) unstable; urgency=low
|
||||
clickhouse (21.3.1.1) unstable; urgency=low
|
||||
|
||||
* Modified source code
|
||||
|
||||
-- Alexey Milovidov <milovidov@yandex-team.ru> Mon, 11 Jan 2021 03:51:08 +0300
|
||||
-- clickhouse-release <clickhouse-release@yandex-team.ru> Mon, 01 Feb 2021 12:50:53 +0300
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.1.0
|
||||
ARG version=21.3.1.*
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install --yes --no-install-recommends \
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:20.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.1.0
|
||||
ARG version=21.3.1.*
|
||||
ARG gosu_ver=1.10
|
||||
|
||||
# user/group precreated explicitly with fixed uid/gid on purpose.
|
||||
@ -10,7 +10,6 @@ ARG gosu_ver=1.10
|
||||
# We do that in advance at the begining of Dockerfile before any packages will be
|
||||
# installed to prevent picking those uid / gid by some unrelated software.
|
||||
# The same uid / gid (101) is used both for alpine and ubuntu.
|
||||
# Number 101 is used by default in openshift
|
||||
|
||||
RUN groupadd -r clickhouse --gid=101 \
|
||||
&& useradd -r -g clickhouse --uid=101 --home-dir=/var/lib/clickhouse --shell=/bin/bash clickhouse \
|
||||
@ -37,7 +36,12 @@ RUN groupadd -r clickhouse --gid=101 \
|
||||
/var/lib/apt/lists/* \
|
||||
/var/cache/debconf \
|
||||
/tmp/* \
|
||||
&& apt-get clean
|
||||
&& apt-get clean \
|
||||
&& mkdir -p /var/lib/clickhouse /var/log/clickhouse-server /etc/clickhouse-server /etc/clickhouse-client \
|
||||
&& chmod ugo+Xrw -R /var/lib/clickhouse /var/log/clickhouse-server /etc/clickhouse-server /etc/clickhouse-client
|
||||
|
||||
# we need to allow "others" access to clickhouse folder, because docker container
|
||||
# can be started with arbitrary uid (openshift usecase)
|
||||
|
||||
ADD https://github.com/tianon/gosu/releases/download/$gosu_ver/gosu-amd64 /bin/gosu
|
||||
|
||||
|
||||
@ -14,16 +14,18 @@ COPY alpine-root/ /
|
||||
# We do that in advance at the begining of Dockerfile before any packages will be
|
||||
# installed to prevent picking those uid / gid by some unrelated software.
|
||||
# The same uid / gid (101) is used both for alpine and ubuntu.
|
||||
# Number 101 is used by default in openshift
|
||||
|
||||
RUN addgroup -S -g 101 clickhouse \
|
||||
&& adduser -S -h /var/lib/clickhouse -s /bin/bash -G clickhouse -g "ClickHouse server" -u 101 clickhouse \
|
||||
&& mkdir -p /var/lib/clickhouse /var/log/clickhouse-server /etc/clickhouse-server /etc/clickhouse-client \
|
||||
&& chown clickhouse:clickhouse /var/lib/clickhouse \
|
||||
&& chmod 700 /var/lib/clickhouse \
|
||||
&& chown root:clickhouse /var/log/clickhouse-server \
|
||||
&& chmod 775 /var/log/clickhouse-server \
|
||||
&& chmod +x /entrypoint.sh \
|
||||
&& apk add --no-cache su-exec bash
|
||||
&& apk add --no-cache su-exec bash \
|
||||
&& chmod ugo+Xrw -R /var/lib/clickhouse /var/log/clickhouse-server /etc/clickhouse-server /etc/clickhouse-client
|
||||
|
||||
# we need to allow "others" access to clickhouse folder, because docker container
|
||||
# can be started with arbitrary uid (openshift usecase)
|
||||
|
||||
EXPOSE 9000 8123 9009
|
||||
|
||||
|
||||
@ -120,7 +120,7 @@ if [ -n "$(ls /docker-entrypoint-initdb.d/)" ] || [ -n "$CLICKHOUSE_DB" ]; then
|
||||
sleep 1
|
||||
done
|
||||
|
||||
clickhouseclient=( clickhouse-client --multiquery -u "$CLICKHOUSE_USER" --password "$CLICKHOUSE_PASSWORD" )
|
||||
clickhouseclient=( clickhouse-client --multiquery --host "127.0.0.1" -u "$CLICKHOUSE_USER" --password "$CLICKHOUSE_PASSWORD" )
|
||||
|
||||
echo
|
||||
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=21.1.0
|
||||
ARG version=21.3.1.*
|
||||
|
||||
RUN apt-get update && \
|
||||
apt-get install -y apt-transport-https dirmngr && \
|
||||
|
||||
@ -43,6 +43,7 @@ RUN apt-get update \
|
||||
clang-tidy-${LLVM_VERSION} \
|
||||
cmake \
|
||||
curl \
|
||||
lsof \
|
||||
expect \
|
||||
fakeroot \
|
||||
git \
|
||||
|
||||
@ -251,8 +251,12 @@ function run_tests
|
||||
00701_rollup
|
||||
00834_cancel_http_readonly_queries_on_client_close
|
||||
00911_tautological_compare
|
||||
|
||||
# Hyperscan
|
||||
00926_multimatch
|
||||
00929_multi_match_edit_distance
|
||||
01681_hyperscan_debug_assertion
|
||||
|
||||
01031_mutations_interpreter_and_context
|
||||
01053_ssd_dictionary # this test mistakenly requires acces to /var/lib/clickhouse -- can't run this locally, disabled
|
||||
01083_expressions_in_engine_arguments
|
||||
@ -269,6 +273,8 @@ function run_tests
|
||||
01281_group_by_limit_memory_tracking # max_memory_usage_for_user can interfere another queries running concurrently
|
||||
01318_encrypt # Depends on OpenSSL
|
||||
01318_decrypt # Depends on OpenSSL
|
||||
01663_aes_msan # Depends on OpenSSL
|
||||
01667_aes_args_check # Depends on OpenSSL
|
||||
01281_unsucceeded_insert_select_queries_counter
|
||||
01292_create_user
|
||||
01294_lazy_database_concurrent
|
||||
@ -330,9 +336,12 @@ function run_tests
|
||||
# nc - command not found
|
||||
01601_proxy_protocol
|
||||
01622_defaults_for_url_engine
|
||||
|
||||
# JSON functions
|
||||
01666_blns
|
||||
)
|
||||
|
||||
time clickhouse-test -j 8 --order=random --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" -- "$FASTTEST_FOCUS" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/test_log.txt"
|
||||
time clickhouse-test --hung-check -j 8 --order=random --use-skip-list --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" -- "$FASTTEST_FOCUS" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/test_log.txt"
|
||||
|
||||
# substr is to remove semicolon after test name
|
||||
readarray -t FAILED_TESTS < <(awk '/\[ FAIL|TIMEOUT|ERROR \]/ { print substr($3, 1, length($3)-1) }' "$FASTTEST_OUTPUT/test_log.txt" | tee "$FASTTEST_OUTPUT/failed-parallel-tests.txt")
|
||||
@ -355,7 +364,7 @@ function run_tests
|
||||
|
||||
echo "Going to run again: ${FAILED_TESTS[*]}"
|
||||
|
||||
clickhouse-test --order=random --no-long --testname --shard --zookeeper "${FAILED_TESTS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a "$FASTTEST_OUTPUT/test_log.txt"
|
||||
clickhouse-test --hung-check --order=random --no-long --testname --shard --zookeeper "${FAILED_TESTS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a "$FASTTEST_OUTPUT/test_log.txt"
|
||||
else
|
||||
echo "No failed tests"
|
||||
fi
|
||||
|
||||
@ -11,6 +11,10 @@
|
||||
<max>10</max>
|
||||
</max_execution_time>
|
||||
|
||||
<max_memory_usage>
|
||||
<max>10G</max>
|
||||
</max_memory_usage>
|
||||
|
||||
<!-- Not ready for production -->
|
||||
<compile_expressions>
|
||||
<readonly />
|
||||
|
||||
@ -21,13 +21,16 @@ function clone
|
||||
|
||||
git init
|
||||
git remote add origin https://github.com/ClickHouse/ClickHouse
|
||||
git fetch --depth=1 origin "$SHA_TO_TEST"
|
||||
git fetch --depth=1 origin master # Used to obtain the list of modified or added tests
|
||||
|
||||
# Network is unreliable. GitHub neither.
|
||||
for _ in {1..100}; do git fetch --depth=100 origin "$SHA_TO_TEST" && break; sleep 1; done
|
||||
# Used to obtain the list of modified or added tests
|
||||
for _ in {1..100}; do git fetch --depth=100 origin master && break; sleep 1; done
|
||||
|
||||
# If not master, try to fetch pull/.../{head,merge}
|
||||
if [ "$PR_TO_TEST" != "0" ]
|
||||
then
|
||||
git fetch --depth=1 origin "refs/pull/$PR_TO_TEST/*:refs/heads/pull/$PR_TO_TEST/*"
|
||||
for _ in {1..100}; do git fetch --depth=100 origin "refs/pull/$PR_TO_TEST/*:refs/heads/pull/$PR_TO_TEST/*" && break; sleep 1; done
|
||||
fi
|
||||
|
||||
git checkout "$SHA_TO_TEST"
|
||||
@ -75,7 +78,7 @@ function fuzz
|
||||
{
|
||||
# Obtain the list of newly added tests. They will be fuzzed in more extreme way than other tests.
|
||||
cd ch
|
||||
NEW_TESTS=$(git diff --name-only master "$SHA_TO_TEST" | grep -P 'tests/queries/0_stateless/.*\.sql' | sed -r -e 's!^!ch/!' | sort -R)
|
||||
NEW_TESTS=$(git diff --name-only "$(git merge-base origin/master "$SHA_TO_TEST"~)" "$SHA_TO_TEST" | grep -P 'tests/queries/0_stateless/.*\.sql' | sed -r -e 's!^!ch/!' | sort -R)
|
||||
cd ..
|
||||
if [[ -n "$NEW_TESTS" ]]
|
||||
then
|
||||
@ -85,6 +88,7 @@ function fuzz
|
||||
fi
|
||||
|
||||
./clickhouse-server --config-file db/config.xml -- --path db 2>&1 | tail -100000 > server.log &
|
||||
|
||||
server_pid=$!
|
||||
kill -0 $server_pid
|
||||
while ! ./clickhouse-client --query "select 1" && kill -0 $server_pid ; do echo . ; sleep 1 ; done
|
||||
@ -92,6 +96,17 @@ function fuzz
|
||||
kill -0 $server_pid
|
||||
echo Server started
|
||||
|
||||
echo "
|
||||
handle all noprint
|
||||
handle SIGSEGV stop print
|
||||
handle SIGBUS stop print
|
||||
continue
|
||||
thread apply all backtrace
|
||||
continue
|
||||
" > script.gdb
|
||||
|
||||
gdb -batch -command script.gdb -p "$(pidof clickhouse-server)" &
|
||||
|
||||
fuzzer_exit_code=0
|
||||
# SC2012: Use find instead of ls to better handle non-alphanumeric filenames. They are all alphanumeric.
|
||||
# SC2046: Quote this to prevent word splitting. Actually I need word splitting.
|
||||
@ -175,16 +190,16 @@ case "$stage" in
|
||||
# Lost connection to the server. This probably means that the server died
|
||||
# with abort.
|
||||
echo "failure" > status.txt
|
||||
if ! grep -ao "Received signal.*\|Logical error.*\|Assertion.*failed\|Failed assertion.*\|.*runtime error: .*\|.*is located.*" server.log > description.txt
|
||||
if ! grep -ao "Received signal.*\|Logical error.*\|Assertion.*failed\|Failed assertion.*\|.*runtime error: .*\|.*is located.*\|SUMMARY: MemorySanitizer:.*\|SUMMARY: ThreadSanitizer:.*" server.log > description.txt
|
||||
then
|
||||
echo "Lost connection to server. See the logs" > description.txt
|
||||
echo "Lost connection to server. See the logs." > description.txt
|
||||
fi
|
||||
else
|
||||
# Something different -- maybe the fuzzer itself died? Don't grep the
|
||||
# server log in this case, because we will find a message about normal
|
||||
# server termination (Received signal 15), which is confusing.
|
||||
echo "failure" > status.txt
|
||||
echo "Fuzzer failed ($fuzzer_exit_code). See the logs" > description.txt
|
||||
echo "Fuzzer failed ($fuzzer_exit_code). See the logs." > description.txt
|
||||
fi
|
||||
;&
|
||||
"report")
|
||||
|
||||
@ -62,6 +62,7 @@ RUN python3 -m pip install \
|
||||
avro \
|
||||
cassandra-driver \
|
||||
confluent-kafka \
|
||||
dict2xml \
|
||||
dicttoxml \
|
||||
docker \
|
||||
docker-compose==1.22.0 \
|
||||
|
||||
@ -14,7 +14,7 @@ services:
|
||||
ports:
|
||||
- 1006:1006
|
||||
- 50070:50070
|
||||
- 9000:9000
|
||||
- 9010:9010
|
||||
depends_on:
|
||||
- hdfskerberos
|
||||
entrypoint: /etc/bootstrap.sh -d
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
#!/usr/bin/python3
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import argparse
|
||||
import clickhouse_driver
|
||||
|
||||
@ -14,12 +14,12 @@ cd /sqlancer/sqlancer-master
|
||||
export TIMEOUT=60
|
||||
export NUM_QUERIES=1000
|
||||
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPWhere | tee /test_output/TLPWhere.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPWhere.err
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPGroupBy | tee /test_output/TLPGroupBy.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPGroupBy.err
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPHaving | tee /test_output/TLPHaving.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPHaving.err
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPWhere --oracle TLPGroupBy | tee /test_output/TLPWhereGroupBy.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPWhereGroupBy.err
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPDistinct | tee /test_output/TLPDistinct.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPDistinct.err
|
||||
( java -jar target/SQLancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPAggregate | tee /test_output/TLPAggregate.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPAggregate.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPWhere | tee /test_output/TLPWhere.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPWhere.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPGroupBy | tee /test_output/TLPGroupBy.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPGroupBy.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPHaving | tee /test_output/TLPHaving.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPHaving.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPWhere --oracle TLPGroupBy | tee /test_output/TLPWhereGroupBy.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPWhereGroupBy.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPDistinct | tee /test_output/TLPDistinct.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPDistinct.err
|
||||
( java -jar target/sqlancer-*.jar --num-threads 10 --timeout-seconds $TIMEOUT --num-queries $NUM_QUERIES --username default --password "" clickhouse --oracle TLPAggregate | tee /test_output/TLPAggregate.out ) 3>&1 1>&2 2>&3 | tee /test_output/TLPAggregate.err
|
||||
|
||||
service clickhouse-server stop && sleep 10
|
||||
|
||||
|
||||
@ -53,14 +53,15 @@ function run_tests()
|
||||
if [ "$NUM_TRIES" -gt "1" ]; then
|
||||
ADDITIONAL_OPTIONS+=('--skip')
|
||||
ADDITIONAL_OPTIONS+=('00000_no_tests_to_skip')
|
||||
ADDITIONAL_OPTIONS+=('--jobs')
|
||||
ADDITIONAL_OPTIONS+=('4')
|
||||
fi
|
||||
|
||||
for _ in $(seq 1 "$NUM_TRIES"); do
|
||||
clickhouse-test --testname --shard --zookeeper --hung-check --print-time "$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a test_output/test_result.txt
|
||||
if [ "${PIPESTATUS[0]}" -ne "0" ]; then
|
||||
break;
|
||||
fi
|
||||
done
|
||||
clickhouse-test --testname --shard --zookeeper --hung-check --print-time \
|
||||
--test-runs "$NUM_TRIES" \
|
||||
"$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" 2>&1 \
|
||||
| ts '%Y-%m-%d %H:%M:%S' \
|
||||
| tee -a test_output/test_result.txt
|
||||
}
|
||||
|
||||
export -f run_tests
|
||||
|
||||
@ -1,12 +1,16 @@
|
||||
# docker build -t yandex/clickhouse-style-test .
|
||||
FROM ubuntu:20.04
|
||||
|
||||
RUN apt-get update && env DEBIAN_FRONTEND=noninteractive apt-get install --yes shellcheck libxml2-utils git python3-pip && pip3 install codespell
|
||||
RUN apt-get update && env DEBIAN_FRONTEND=noninteractive apt-get install --yes shellcheck libxml2-utils git python3-pip pylint && pip3 install codespell
|
||||
|
||||
|
||||
# For |& syntax
|
||||
SHELL ["bash", "-c"]
|
||||
|
||||
CMD cd /ClickHouse/utils/check-style && \
|
||||
./check-style -n | tee /test_output/style_output.txt && \
|
||||
./check-typos | tee /test_output/typos_output.txt && \
|
||||
./check-whitespaces -n | tee /test_output/whitespaces_output.txt && \
|
||||
./check-duplicate-includes.sh | tee /test_output/duplicate_output.txt && \
|
||||
./shellcheck-run.sh | tee /test_output/shellcheck_output.txt
|
||||
./check-style -n |& tee /test_output/style_output.txt && \
|
||||
./check-typos |& tee /test_output/typos_output.txt && \
|
||||
./check-whitespaces -n |& tee /test_output/whitespaces_output.txt && \
|
||||
./check-duplicate-includes.sh |& tee /test_output/duplicate_output.txt && \
|
||||
./shellcheck-run.sh |& tee /test_output/shellcheck_output.txt && \
|
||||
true
|
||||
|
||||
@ -16,7 +16,7 @@ $ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/inst
|
||||
## Install Required Compilers, Tools, and Libraries {#install-required-compilers-tools-and-libraries}
|
||||
|
||||
``` bash
|
||||
$ brew install cmake ninja libtool gettext
|
||||
$ brew install cmake ninja libtool gettext llvm
|
||||
```
|
||||
|
||||
## Checkout ClickHouse Sources {#checkout-clickhouse-sources}
|
||||
@ -40,7 +40,7 @@ $ cd ClickHouse
|
||||
``` bash
|
||||
$ 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`
|
||||
$ cmake .. -DCMAKE_C_COMPILER=`brew --prefix llvm`/bin/clang -DCMAKE_CXX_COMPILER=`brew --prefix llvm`/bin/clang++ -DCMAKE_PREFIX_PATH=`brew --prefix llvm`
|
||||
$ ninja
|
||||
$ cd ..
|
||||
```
|
||||
|
||||
17
docs/en/engines/database-engines/atomic.md
Normal file
17
docs/en/engines/database-engines/atomic.md
Normal file
@ -0,0 +1,17 @@
|
||||
---
|
||||
toc_priority: 32
|
||||
toc_title: Atomic
|
||||
---
|
||||
|
||||
|
||||
# Atomic {#atomic}
|
||||
|
||||
It is supports non-blocking `DROP` and `RENAME TABLE` queries and atomic `EXCHANGE TABLES t1 AND t2` queries. Atomic database engine is used by default.
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
|
||||
```sql
|
||||
CREATE DATABASE test ENGINE = Atomic;
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/engines/database_engines/atomic/) <!--hide-->
|
||||
@ -8,14 +8,14 @@ toc_title: Introduction
|
||||
|
||||
Database engines allow you to work with tables.
|
||||
|
||||
By default, ClickHouse uses its native database engine, which provides configurable [table engines](../../engines/table-engines/index.md) and an [SQL dialect](../../sql-reference/syntax.md).
|
||||
By default, ClickHouse uses database engine [Atomic](../../engines/database-engines/atomic.md). It is provides configurable [table engines](../../engines/table-engines/index.md) and an [SQL dialect](../../sql-reference/syntax.md).
|
||||
|
||||
You can also use the following database engines:
|
||||
|
||||
- [MySQL](../../engines/database-engines/mysql.md)
|
||||
|
||||
- [Lazy](../../engines/database-engines/lazy.md)
|
||||
|
||||
- [MaterializeMySQL](../../engines/database-engines/materialize-mysql.md)
|
||||
|
||||
- [Lazy](../../engines/database-engines/lazy.md)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/database_engines/) <!--hide-->
|
||||
|
||||
@ -5,9 +5,11 @@ toc_title: MaterializeMySQL
|
||||
|
||||
# MaterializeMySQL {#materialize-mysql}
|
||||
|
||||
Creates ClickHouse database with all the tables existing in MySQL, and all the data in those tables.
|
||||
Creates ClickHouse database with all the tables existing in MySQL, and all the data in those tables.
|
||||
|
||||
ClickHouse server works as MySQL replica. It reads binlog and performs DDL and DML queries.
|
||||
ClickHouse server works as MySQL replica. It reads binlog and performs DDL and DML queries.
|
||||
|
||||
This feature is experimental.
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
|
||||
@ -25,12 +27,12 @@ ENGINE = MaterializeMySQL('host:port', ['database' | database], 'user', 'passwor
|
||||
|
||||
## Virtual columns {#virtual-columns}
|
||||
|
||||
When working with the `MaterializeMySQL` database engine, [ReplacingMergeTree](../../engines/table-engines/mergetree-family/replacingmergetree.md) tables are used with virtual `_sign` and `_version` columns.
|
||||
When working with the `MaterializeMySQL` database engine, [ReplacingMergeTree](../../engines/table-engines/mergetree-family/replacingmergetree.md) tables are used with virtual `_sign` and `_version` columns.
|
||||
|
||||
- `_version` — Transaction counter. Type [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
- `_sign` — Deletion mark. Type [Int8](../../sql-reference/data-types/int-uint.md). Possible values:
|
||||
- `1` — Row is not deleted,
|
||||
- `-1` — Row is deleted.
|
||||
- `_version` — Transaction counter. Type [UInt64](../../sql-reference/data-types/int-uint.md).
|
||||
- `_sign` — Deletion mark. Type [Int8](../../sql-reference/data-types/int-uint.md). Possible values:
|
||||
- `1` — Row is not deleted,
|
||||
- `-1` — Row is deleted.
|
||||
|
||||
## Data Types Support {#data_types-support}
|
||||
|
||||
@ -61,9 +63,9 @@ Other types are not supported. If MySQL table contains a column of such type, Cl
|
||||
|
||||
MySQL DDL queries are converted into the corresponding ClickHouse DDL queries ([ALTER](../../sql-reference/statements/alter/index.md), [CREATE](../../sql-reference/statements/create/index.md), [DROP](../../sql-reference/statements/drop.md), [RENAME](../../sql-reference/statements/rename.md)). If ClickHouse cannot parse some DDL query, the query is ignored.
|
||||
|
||||
### Data Replication {#data-replication}
|
||||
### Data Replication {#data-replication}
|
||||
|
||||
MaterializeMySQL does not support direct `INSERT`, `DELETE` and `UPDATE` queries. However, they are supported in terms of data replication:
|
||||
`MaterializeMySQL` does not support direct `INSERT`, `DELETE` and `UPDATE` queries. However, they are supported in terms of data replication:
|
||||
|
||||
- MySQL `INSERT` query is converted into `INSERT` with `_sign=1`.
|
||||
|
||||
@ -73,11 +75,11 @@ MaterializeMySQL does not support direct `INSERT`, `DELETE` and `UPDATE` queries
|
||||
|
||||
### Selecting from MaterializeMySQL Tables {#select}
|
||||
|
||||
`SELECT` query form MaterializeMySQL tables has some specifics:
|
||||
`SELECT` query from `MaterializeMySQL` tables has some specifics:
|
||||
|
||||
- If `_version` is not specified in the `SELECT` query, [FINAL](../../sql-reference/statements/select/from.md#select-from-final) modifier is used. So only rows with `MAX(_version)` are selected.
|
||||
|
||||
- If `_sign` is not specified in the `SELECT` query, `WHERE _sign=1` is used by default, so the deleted rows are not included into the result set.
|
||||
- If `_sign` is not specified in the `SELECT` query, `WHERE _sign=1` is used by default. So the deleted rows are not included into the result set.
|
||||
|
||||
### Index Conversion {#index-conversion}
|
||||
|
||||
@ -85,12 +87,12 @@ MySQL `PRIMARY KEY` and `INDEX` clauses are converted into `ORDER BY` tuples in
|
||||
|
||||
ClickHouse has only one physical order, which is determined by `ORDER BY` clause. To create a new physical order, use [materialized views](../../sql-reference/statements/create/view.md#materialized).
|
||||
|
||||
**Notes**
|
||||
**Notes**
|
||||
|
||||
- Rows with `_sign=-1` are not deleted physically from the tables.
|
||||
- Cascade `UPDATE/DELETE` queries are not supported by the `MaterializeMySQL` engine.
|
||||
- Replication can be easily broken.
|
||||
- Manual operations on database and tables are forbidden.
|
||||
- Rows with `_sign=-1` are not deleted physically from the tables.
|
||||
- Cascade `UPDATE/DELETE` queries are not supported by the `MaterializeMySQL` engine.
|
||||
- Replication can be easily broken.
|
||||
- Manual operations on database and tables are forbidden.
|
||||
|
||||
## Examples of Use {#examples-of-use}
|
||||
|
||||
@ -105,6 +107,7 @@ mysql> ALTER TABLE db.test ADD COLUMN c VARCHAR(16);
|
||||
mysql> UPDATE db.test SET c='Wow!', b=222;
|
||||
mysql> SELECT * FROM test;
|
||||
```
|
||||
|
||||
```text
|
||||
+---+------+------+
|
||||
| a | b | c |
|
||||
|
||||
@ -51,6 +51,23 @@ All other MySQL data types are converted into [String](../../sql-reference/data-
|
||||
|
||||
[Nullable](../../sql-reference/data-types/nullable.md) is supported.
|
||||
|
||||
## Global Variables Support {#global-variables-support}
|
||||
|
||||
For better compatibility you may address global variables in MySQL style, as `@@identifier`.
|
||||
|
||||
These variables are supported:
|
||||
- `version`
|
||||
- `max_allowed_packet`
|
||||
|
||||
!!! warning "Warning"
|
||||
By now these variables are stubs and don't correspond to anything.
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
SELECT @@version;
|
||||
```
|
||||
|
||||
## Examples of Use {#examples-of-use}
|
||||
|
||||
Table in MySQL:
|
||||
|
||||
@ -7,8 +7,6 @@ toc_title: EmbeddedRocksDB
|
||||
|
||||
This engine allows integrating ClickHouse with [rocksdb](http://rocksdb.org/).
|
||||
|
||||
`EmbeddedRocksDB` lets you:
|
||||
|
||||
## Creating a Table {#table_engine-EmbeddedRocksDB-creating-a-table}
|
||||
|
||||
``` sql
|
||||
@ -23,6 +21,9 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
Required parameters:
|
||||
|
||||
- `primary_key_name` – any column name in the column list.
|
||||
- `primary key` must be specified, it supports only one column in the primary key. The primary key will be serialized in binary as a `rocksdb key`.
|
||||
- columns other than the primary key will be serialized in binary as `rocksdb` value in corresponding order.
|
||||
- queries with key `equals` or `in` filtering will be optimized to multi keys lookup from `rocksdb`.
|
||||
|
||||
Example:
|
||||
|
||||
@ -38,8 +39,4 @@ ENGINE = EmbeddedRocksDB
|
||||
PRIMARY KEY key
|
||||
```
|
||||
|
||||
## Description {#description}
|
||||
|
||||
- `primary key` must be specified, it only supports one column in primary key. The primary key will serialized in binary as rocksdb key.
|
||||
- columns other than the primary key will be serialized in binary as rocksdb value in corresponding order.
|
||||
- queries with key `equals` or `in` filtering will be optimized to multi keys lookup from rocksdb.
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/table_engines/embedded-rocksdb/) <!--hide-->
|
||||
|
||||
@ -114,6 +114,10 @@ CREATE TABLE big_table (name String, value UInt32) ENGINE = S3('https://storage.
|
||||
- `_path` — Path to the file.
|
||||
- `_file` — Name of the file.
|
||||
|
||||
**See Also**
|
||||
|
||||
- [Virtual columns](../../../engines/table-engines/index.md#table_engines-virtual_columns)
|
||||
|
||||
## S3-related settings {#settings}
|
||||
|
||||
The following settings can be set before query execution or placed into configuration file.
|
||||
@ -124,8 +128,29 @@ The following settings can be set before query execution or placed into configur
|
||||
|
||||
Security consideration: if malicious user can specify arbitrary S3 URLs, `s3_max_redirects` must be set to zero to avoid [SSRF](https://en.wikipedia.org/wiki/Server-side_request_forgery) attacks; or alternatively, `remote_host_filter` must be specified in server configuration.
|
||||
|
||||
**See Also**
|
||||
### Endpoint-based settings {#endpointsettings}
|
||||
|
||||
- [Virtual columns](../../../engines/table-engines/index.md#table_engines-virtual_columns)
|
||||
The following settings can be specified in configuration file for given endpoint (which will be matched by exact prefix of a URL):
|
||||
|
||||
- `endpoint` — Mandatory. Specifies prefix of an endpoint.
|
||||
- `access_key_id` and `secret_access_key` — Optional. Specifies credentials to use with given endpoint.
|
||||
- `use_environment_credentials` — Optional, default value is `false`. If set to `true`, S3 client will try to obtain credentials from environment variables and Amazon EC2 metadata for given endpoint.
|
||||
- `header` — Optional, can be speficied multiple times. Adds specified HTTP header to a request to given endpoint.
|
||||
|
||||
This configuration also applies to S3 disks in `MergeTree` table engine family.
|
||||
|
||||
Example:
|
||||
|
||||
```
|
||||
<s3>
|
||||
<endpoint-name>
|
||||
<endpoint>https://storage.yandexcloud.net/my-test-bucket-768/</endpoint>
|
||||
<!-- <access_key_id>ACCESS_KEY_ID</access_key_id> -->
|
||||
<!-- <secret_access_key>SECRET_ACCESS_KEY</secret_access_key> -->
|
||||
<!-- <use_environment_credentials>false</use_environment_credentials> -->
|
||||
<!-- <header>Authorization: Bearer SOME-TOKEN</header> -->
|
||||
</endpoint-name>
|
||||
</s3>
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/table_engines/s3/) <!--hide-->
|
||||
|
||||
@ -45,7 +45,10 @@ ORDER BY expr
|
||||
[PARTITION BY expr]
|
||||
[PRIMARY KEY expr]
|
||||
[SAMPLE BY expr]
|
||||
[TTL expr [DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'], ...]
|
||||
[TTL expr
|
||||
[DELETE|TO DISK 'xxx'|TO VOLUME 'xxx' [, ...] ]
|
||||
[WHERE conditions]
|
||||
[GROUP BY key_expr [SET v1 = aggr_func(v1) [, v2 = aggr_func(v2) ...]] ] ]
|
||||
[SETTINGS name=value, ...]
|
||||
```
|
||||
|
||||
@ -80,7 +83,7 @@ For a description of parameters, see the [CREATE query description](../../../sql
|
||||
Expression must have one `Date` or `DateTime` column as a result. Example:
|
||||
`TTL date + INTERVAL 1 DAY`
|
||||
|
||||
Type of the rule `DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'` specifies an action to be done with the part if the expression is satisfied (reaches current time): removal of expired rows, moving a part (if expression is satisfied for all rows in a part) to specified disk (`TO DISK 'xxx'`) or to volume (`TO VOLUME 'xxx'`). Default type of the rule is removal (`DELETE`). List of multiple rules can specified, but there should be no more than one `DELETE` rule.
|
||||
Type of the rule `DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'|GROUP BY` specifies an action to be done with the part if the expression is satisfied (reaches current time): removal of expired rows, moving a part (if expression is satisfied for all rows in a part) to specified disk (`TO DISK 'xxx'`) or to volume (`TO VOLUME 'xxx'`), or aggregating values in expired rows. Default type of the rule is removal (`DELETE`). List of multiple rules can specified, but there should be no more than one `DELETE` rule.
|
||||
|
||||
For more details, see [TTL for columns and tables](#table_engine-mergetree-ttl)
|
||||
|
||||
@ -455,18 +458,28 @@ ALTER TABLE example_table
|
||||
Table can have an expression for removal of expired rows, and multiple expressions for automatic move of parts between [disks or volumes](#table_engine-mergetree-multiple-volumes). When rows in the table expire, ClickHouse deletes all corresponding rows. For parts moving feature, all rows of a part must satisfy the movement expression criteria.
|
||||
|
||||
``` sql
|
||||
TTL expr [DELETE|TO DISK 'aaa'|TO VOLUME 'bbb'], ...
|
||||
TTL expr
|
||||
[DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'][, DELETE|TO DISK 'aaa'|TO VOLUME 'bbb'] ...
|
||||
[WHERE conditions]
|
||||
[GROUP BY key_expr [SET v1 = aggr_func(v1) [, v2 = aggr_func(v2) ...]] ]
|
||||
```
|
||||
|
||||
Type of TTL rule may follow each TTL expression. It affects an action which is to be done once the expression is satisfied (reaches current time):
|
||||
|
||||
- `DELETE` - delete expired rows (default action);
|
||||
- `TO DISK 'aaa'` - move part to the disk `aaa`;
|
||||
- `TO VOLUME 'bbb'` - move part to the disk `bbb`.
|
||||
- `TO VOLUME 'bbb'` - move part to the disk `bbb`;
|
||||
- `GROUP BY` - aggregate expired rows.
|
||||
|
||||
Examples:
|
||||
With `WHERE` clause you may specify which of the expired rows to delete or aggregate (it cannot be applied to moves).
|
||||
|
||||
Creating a table with TTL
|
||||
`GROUP BY` expression must be a prefix of the table primary key.
|
||||
|
||||
If a column is not part of the `GROUP BY` expression and is not set explicitely in the `SET` clause, in result row it contains an occasional value from the grouped rows (as if aggregate function `any` is applied to it).
|
||||
|
||||
**Examples**
|
||||
|
||||
Creating a table with TTL:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE example_table
|
||||
@ -482,13 +495,43 @@ TTL d + INTERVAL 1 MONTH [DELETE],
|
||||
d + INTERVAL 2 WEEK TO DISK 'bbb';
|
||||
```
|
||||
|
||||
Altering TTL of the table
|
||||
Altering TTL of the table:
|
||||
|
||||
``` sql
|
||||
ALTER TABLE example_table
|
||||
MODIFY TTL d + INTERVAL 1 DAY;
|
||||
```
|
||||
|
||||
Creating a table, where the rows are expired after one month. The expired rows where dates are Mondays are deleted:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE table_with_where
|
||||
(
|
||||
d DateTime,
|
||||
a Int
|
||||
)
|
||||
ENGINE = MergeTree
|
||||
PARTITION BY toYYYYMM(d)
|
||||
ORDER BY d
|
||||
TTL d + INTERVAL 1 MONTH DELETE WHERE toDayOfWeek(d) = 1;
|
||||
```
|
||||
|
||||
Creating a table, where expired rows are aggregated. In result rows `x` contains the maximum value accross the grouped rows, `y` — the minimum value, and `d` — any occasional value from grouped rows.
|
||||
|
||||
``` sql
|
||||
CREATE TABLE table_for_aggregation
|
||||
(
|
||||
d DateTime,
|
||||
k1 Int,
|
||||
k2 Int,
|
||||
x Int,
|
||||
y Int
|
||||
)
|
||||
ENGINE = MergeTree
|
||||
ORDER BY k1, k2
|
||||
TTL d + INTERVAL 1 MONTH GROUP BY k1, k2 SET x = max(x), y = min(y);
|
||||
```
|
||||
|
||||
**Removing Data**
|
||||
|
||||
Data with an expired TTL is removed when ClickHouse merges data parts.
|
||||
@ -657,6 +700,96 @@ The `default` storage policy implies using only one volume, which consists of on
|
||||
|
||||
The number of threads performing background moves of data parts can be changed by [background_move_pool_size](../../../operations/settings/settings.md#background_move_pool_size) setting.
|
||||
|
||||
## Using S3 for Data Storage {#table_engine-mergetree-s3}
|
||||
|
||||
`MergeTree` family table engines is able to store data to [S3](https://aws.amazon.com/s3/) using a disk with type `s3`.
|
||||
|
||||
Configuration markup:
|
||||
``` xml
|
||||
<storage_configuration>
|
||||
...
|
||||
<disks>
|
||||
<s3>
|
||||
<type>s3</type>
|
||||
<endpoint>https://storage.yandexcloud.net/my-bucket/root-path/</endpoint>
|
||||
<access_key_id>your_access_key_id</access_key_id>
|
||||
<secret_access_key>your_secret_access_key</secret_access_key>
|
||||
<proxy>
|
||||
<uri>http://proxy1</uri>
|
||||
<uri>http://proxy2</uri>
|
||||
</proxy>
|
||||
<connect_timeout_ms>10000</connect_timeout_ms>
|
||||
<request_timeout_ms>5000</request_timeout_ms>
|
||||
<max_connections>100</max_connections>
|
||||
<retry_attempts>10</retry_attempts>
|
||||
<min_bytes_for_seek>1000</min_bytes_for_seek>
|
||||
<metadata_path>/var/lib/clickhouse/disks/s3/</metadata_path>
|
||||
<cache_enabled>true</cache_enabled>
|
||||
<cache_path>/var/lib/clickhouse/disks/s3/cache/</cache_path>
|
||||
<skip_access_check>false</skip_access_check>
|
||||
</s3>
|
||||
</disks>
|
||||
...
|
||||
</storage_configuration>
|
||||
```
|
||||
|
||||
Required parameters:
|
||||
- `endpoint` — S3 endpoint url in `path` or `virtual hosted` [styles](https://docs.aws.amazon.com/AmazonS3/latest/dev/VirtualHosting.html). Endpoint url should contain bucket and root path to store data.
|
||||
- `access_key_id` — S3 access key id.
|
||||
- `secret_access_key` — S3 secret access key.
|
||||
|
||||
Optional parameters:
|
||||
- `use_environment_credentials` — Reads AWS credentials from the Environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN if they exist. Default value is `false`.
|
||||
- `proxy` — Proxy configuration for S3 endpoint. Each `uri` element inside `proxy` block should contain a proxy URL.
|
||||
- `connect_timeout_ms` — Socket connect timeout in milliseconds. Default value is `10 seconds`.
|
||||
- `request_timeout_ms` — Request timeout in milliseconds. Default value is `5 seconds`.
|
||||
- `max_connections` — S3 connections pool size. Default value is `100`.
|
||||
- `retry_attempts` — Number of retry attempts in case of failed request. Default value is `10`.
|
||||
- `min_bytes_for_seek` — Minimal number of bytes to use seek operation instead of sequential read. Default value is `1 Mb`.
|
||||
- `metadata_path` — Path on local FS to store metadata files for S3. Default value is `/var/lib/clickhouse/disks/<disk_name>/`.
|
||||
- `cache_enabled` — Allows to cache mark and index files on local FS. Default value is `true`.
|
||||
- `cache_path` — Path on local FS where to store cached mark and index files. Default value is `/var/lib/clickhouse/disks/<disk_name>/cache/`.
|
||||
- `skip_access_check` — If true disk access checks will not be performed on disk start-up. Default value is `false`.
|
||||
|
||||
|
||||
S3 disk can be configured as `main` or `cold` storage:
|
||||
``` xml
|
||||
<storage_configuration>
|
||||
...
|
||||
<disks>
|
||||
<s3>
|
||||
<type>s3</type>
|
||||
<endpoint>https://storage.yandexcloud.net/my-bucket/root-path/</endpoint>
|
||||
<access_key_id>your_access_key_id</access_key_id>
|
||||
<secret_access_key>your_secret_access_key</secret_access_key>
|
||||
</s3>
|
||||
</disks>
|
||||
<policies>
|
||||
<s3_main>
|
||||
<volumes>
|
||||
<main>
|
||||
<disk>s3</disk>
|
||||
</main>
|
||||
</volumes>
|
||||
</s3_main>
|
||||
<s3_cold>
|
||||
<volumes>
|
||||
<main>
|
||||
<disk>default</disk>
|
||||
</main>
|
||||
<external>
|
||||
<disk>s3</disk>
|
||||
</external>
|
||||
</volumes>
|
||||
<move_factor>0.2</move_factor>
|
||||
</s3_cold>
|
||||
</policies>
|
||||
...
|
||||
</storage_configuration>
|
||||
```
|
||||
|
||||
In case of `cold` option a data can be moved to S3 if local disk free size will be smaller than `move_factor * disk_size` or by TTL move rule.
|
||||
|
||||
### Details {#details}
|
||||
|
||||
In the case of `MergeTree` tables, data is getting to disk in different ways:
|
||||
|
||||
@ -254,7 +254,6 @@ ENGINE = MergeTree()
|
||||
PARTITION BY toYYYYMM(EventDate)
|
||||
ORDER BY (CounterID, EventDate, intHash32(UserID))
|
||||
SAMPLE BY intHash32(UserID)
|
||||
SETTINGS index_granularity = 8192
|
||||
```
|
||||
|
||||
``` sql
|
||||
@ -450,7 +449,6 @@ ENGINE = CollapsingMergeTree(Sign)
|
||||
PARTITION BY toYYYYMM(StartDate)
|
||||
ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID)
|
||||
SAMPLE BY intHash32(UserID)
|
||||
SETTINGS index_granularity = 8192
|
||||
```
|
||||
|
||||
You can execute those queries using the interactive mode of `clickhouse-client` (just launch it in a terminal without specifying a query in advance) or try some [alternative interface](../interfaces/index.md) if you want.
|
||||
|
||||
@ -515,9 +515,9 @@ Example:
|
||||
|
||||
## JSONAsString {#jsonasstring}
|
||||
|
||||
In this format, a single JSON object is interpreted as a single value. If input has several JSON objects (comma separated) they will be interpreted as a sepatate rows.
|
||||
In this format, a single JSON object is interpreted as a single value. If the input has several JSON objects (comma separated) they will be interpreted as separate rows.
|
||||
|
||||
This format can only be parsed for table with a single field of type [String](../sql-reference/data-types/string.md). The remaining columns must be set to [DEFAULT](../sql-reference/statements/create/table.md#default) or [MATERIALIZED](../sql-reference/statements/create/table.md#materialized), or omitted. Once you collect whole JSON object to string you can use [JSON functions](../sql-reference/functions/json-functions.md) to process it.
|
||||
This format can only be parsed for table with a single field of type [String](../sql-reference/data-types/string.md). The remaining columns must be set to [DEFAULT](../sql-reference/statements/create/table.md#default) or [MATERIALIZED](../sql-reference/statements/create/table.md#materialized), or omitted. Once you collect whole JSON object to string you can use [JSON functions](../sql-reference/functions/json-functions.md) to process it.
|
||||
|
||||
**Example**
|
||||
|
||||
@ -526,7 +526,7 @@ Query:
|
||||
``` sql
|
||||
DROP TABLE IF EXISTS json_as_string;
|
||||
CREATE TABLE json_as_string (json String) ENGINE = Memory;
|
||||
INSERT INTO json_as_string FORMAT JSONAsString {"foo":{"bar":{"x":"y"},"baz":1}},{},{"any json stucture":1}
|
||||
INSERT INTO json_as_string (json) FORMAT JSONAsString {"foo":{"bar":{"x":"y"},"baz":1}},{},{"any json stucture":1}
|
||||
SELECT * FROM json_as_string;
|
||||
```
|
||||
|
||||
@ -540,7 +540,6 @@ Result:
|
||||
└───────────────────────────────────┘
|
||||
```
|
||||
|
||||
|
||||
## JSONCompact {#jsoncompact}
|
||||
## JSONCompactString {#jsoncompactstring}
|
||||
|
||||
|
||||
@ -8,117 +8,118 @@ toc_title: Adopters
|
||||
!!! warning "Disclaimer"
|
||||
The following list of companies using ClickHouse and their success stories is assembled from public sources, thus might differ from current reality. We’d appreciate it if you share the story of adopting ClickHouse in your company and [add it to the list](https://github.com/ClickHouse/ClickHouse/edit/master/docs/en/introduction/adopters.md), but please make sure you won’t have any NDA issues by doing so. Providing updates with publications from other companies is also useful.
|
||||
|
||||
| Company | Industry | Usecase | Cluster Size | (Un)Compressed Data Size<abbr title="of single replica"><sup>\*</sup></abbr> | Reference |
|
||||
|------------------------------------------------------------------------------------------------|---------------------------------|-----------------------|------------------------------------------------------------|------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
||||
| <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="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://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://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) |
|
||||
| <a href="https://badoo.com" class="favicon">Badoo</a> | Dating | Timeseries | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.tech/meetup38/forecast.pdf) |
|
||||
| <a href="https://www.benocs.com/" class="favicon">Benocs</a> | Network Telemetry and Analytics | Main Product | — | — | [Slides in English, October 2017](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup9/lpm.pdf) |
|
||||
| Company | Industry | Usecase | Cluster Size | (Un)Compressed Data Size<abbr title="of single replica"><sup>\*</sup></abbr> | Reference |
|
||||
|---------|----------|---------|--------------|------------------------------------------------------------------------------|-----------|
|
||||
| <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="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://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://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) |
|
||||
| <a href="https://badoo.com" class="favicon">Badoo</a> | Dating | Timeseries | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.tech/meetup38/forecast.pdf) |
|
||||
| <a href="https://www.benocs.com/" class="favicon">Benocs</a> | Network Telemetry and Analytics | Main Product | — | — | [Slides in English, October 2017](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup9/lpm.pdf) |
|
||||
| <a href="https://www.bigo.sg/" class="favicon">BIGO</a> | Video | Computing Platform | — | — | [Blog Article, August 2020](https://www.programmersought.com/article/44544895251/) |
|
||||
| <a href="https://www.bloomberg.com/" class="favicon">Bloomberg</a> | Finance, Media | Monitoring | 102 servers | — | [Slides, May 2018](https://www.slideshare.net/Altinity/http-analytics-for-6m-requests-per-second-using-clickhouse-by-alexander-bocharov) |
|
||||
| <a href="https://bloxy.info" class="favicon">Bloxy</a> | Blockchain | Analytics | — | — | [Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/4_bloxy.pptx) |
|
||||
| <a href="https://www.bytedance.com" class="favicon">Bytedance</a> | Social platforms | — | — | — | [The ClickHouse Meetup East, October 2020](https://www.youtube.com/watch?v=ckChUkC3Pns) |
|
||||
| <a href="https://www.bloomberg.com/" class="favicon">Bloomberg</a> | Finance, Media | Monitoring | 102 servers | — | [Slides, May 2018](https://www.slideshare.net/Altinity/http-analytics-for-6m-requests-per-second-using-clickhouse-by-alexander-bocharov) |
|
||||
| <a href="https://bloxy.info" class="favicon">Bloxy</a> | Blockchain | Analytics | — | — | [Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/4_bloxy.pptx) |
|
||||
| <a href="https://www.bytedance.com" class="favicon">Bytedance</a> | Social platforms | — | — | — | [The ClickHouse Meetup East, October 2020](https://www.youtube.com/watch?v=ckChUkC3Pns) |
|
||||
| <a href="https://cardsmobile.ru/" class="favicon">CardsMobile</a> | Finance | Analytics | — | — | [VC.ru](https://vc.ru/s/cardsmobile/143449-rukovoditel-gruppy-analiza-dannyh) |
|
||||
| <a href="https://carto.com/" class="favicon">CARTO</a> | Business Intelligence | Geo analytics | — | — | [Geospatial processing with ClickHouse](https://carto.com/blog/geospatial-processing-with-clickhouse/) |
|
||||
| <a href="http://public.web.cern.ch/public/" class="favicon">CERN</a> | Research | Experiment | — | — | [Press release, April 2012](https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/) |
|
||||
| <a href="http://cisco.com/" class="favicon">Cisco</a> | Networking | Traffic analysis | — | — | [Lightning talk, October 2019](https://youtu.be/-hI1vDR2oPY?t=5057) |
|
||||
| <a href="https://www.citadelsecurities.com/" class="favicon">Citadel Securities</a> | Finance | — | — | — | [Contribution, March 2019](https://github.com/ClickHouse/ClickHouse/pull/4774) |
|
||||
| <a href="https://city-mobil.ru" class="favicon">Citymobil</a> | Taxi | Analytics | — | — | [Blog Post in Russian, March 2020](https://habr.com/en/company/citymobil/blog/490660/) |
|
||||
| <a href="https://cloudflare.com" class="favicon">Cloudflare</a> | CDN | Traffic analysis | 36 servers | — | [Blog post, May 2017](https://blog.cloudflare.com/how-cloudflare-analyzes-1m-dns-queries-per-second/), [Blog post, March 2018](https://blog.cloudflare.com/http-analytics-for-6m-requests-per-second-using-clickhouse/) |
|
||||
| <a href="https://corporate.comcast.com/" class="favicon">Comcast</a> | Media | CDN Traffic Analysis | — | — | [ApacheCon 2019 Talk](https://www.youtube.com/watch?v=e9TZ6gFDjNg) |
|
||||
| <a href="https://contentsquare.com" class="favicon">ContentSquare</a> | Web analytics | Main product | — | — | [Blog post in French, November 2018](http://souslecapot.net/2018/11/21/patrick-chatain-vp-engineering-chez-contentsquare-penser-davantage-amelioration-continue-que-revolution-constante/) |
|
||||
| <a href="https://coru.net/" class="favicon">Corunet</a> | Analytics | Main product | — | — | [Slides in English, April 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup21/predictive_models.pdf) |
|
||||
| <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://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) |
|
||||
| <a href="https://www.diva-e.com" class="favicon">Diva-e</a> | Digital consulting | Main Product | — | — | [Slides in English, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup29/ClickHouse-MeetUp-Unusual-Applications-sd-2019-09-17.pdf) |
|
||||
| <a href="https://www.ecwid.com/" class="favicon">Ecwid</a> | E-commerce SaaS | Metrics, Logging | — | — | [Slides in Russian, April 2019](https://nastachku.ru/var/files/1/presentation/backend/2_Backend_6.pdf) |
|
||||
| <a href="https://www.ebay.com/" class="favicon">eBay</a> | E-commerce | Logs, Metrics and Events | — | — | [Official website, Sep 2020](https://tech.ebayinc.com/engineering/ou-online-analytical-processing/) |
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | Trading | Metrics, Logging | — | — | [Talk in Russian, May 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://fastnetmon.com/" class="favicon">FastNetMon</a> | DDoS Protection | Main Product | | — | [Official website](https://fastnetmon.com/docs-fnm-advanced/fastnetmon-advanced-traffic-persistency/) |
|
||||
| <a href="https://www.flipkart.com/" class="favicon">Flipkart</a> | e-Commerce | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=239) |
|
||||
| <a href="https://fun.co/rp" class="favicon">FunCorp</a> | Games | | — | — | [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://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://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) |
|
||||
| <a href="https://www.ivi.ru/" class="favicon">Ivi</a> | Online Cinema | Analytics, Monitoring | — | — | [Article in Russian, Jan 2018](https://habr.com/en/company/ivi/blog/347408/) |
|
||||
| <a href="https://jinshuju.net" class="favicon">Jinshuju 金数据</a> | BI Analytics | Main product | — | — | [Slides in Chinese, October 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup24/3.%20金数据数据架构调整方案Public.pdf) |
|
||||
| <a href="https://www.kodiakdata.com/" class="favicon">Kodiak Data</a> | Clouds | Main product | — | — | [Slides in Engish, April 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup13/kodiak_data.pdf) |
|
||||
| <a href="https://kontur.ru" class="favicon">Kontur</a> | Software Development | Metrics | — | — | [Talk in Russian, November 2018](https://www.youtube.com/watch?v=U4u4Bd0FtrY) |
|
||||
| <a href="https://www.kuaishou.com/" class="favicon">Kuaishou</a> | Video | — | — | — | [ClickHouse Meetup, October 2018](https://clickhouse.tech/blog/en/2018/clickhouse-community-meetup-in-beijing-on-october-28-2018/) |
|
||||
| <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://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://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://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/) |
|
||||
| <a href="https://plausible.io/" class="favicon">Plausible</a> | Analytics | Main Product | — | — | [Blog post, June 2020](https://twitter.com/PlausibleHQ/status/1273889629087969280) |
|
||||
| <a href="https://posthog.com/" class="favicon">PostHog</a> | Product Analytics | Main Product | — | — | [Release Notes, Oct 2020](https://posthog.com/blog/the-posthog-array-1-15-0) |
|
||||
| <a href="https://postmates.com/" class="favicon">Postmates</a> | Delivery | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=188) |
|
||||
| <a href="http://www.pragma-innovation.fr/" class="favicon">Pragma Innovation</a> | Telemetry and Big Data Analysis | Main product | — | — | [Slides in English, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup18/4_pragma_innovation.pdf) |
|
||||
| <a href="https://www.qingcloud.com/" class="favicon">QINGCLOUD</a> | Cloud services | Main product | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/4.%20Cloud%20%2B%20TSDB%20for%20ClickHouse%20张健%20QingCloud.pdf) |
|
||||
| <a href="https://qrator.net" class="favicon">Qrator</a> | DDoS protection | Main product | — | — | [Blog Post, March 2019](https://blog.qrator.net/en/clickhouse-ddos-mitigation_37/) |
|
||||
| <a href="https://www.rbinternational.com/" class="favicon">Raiffeisenbank</a> | Banking | Analytics | — | — | [Lecture in Russian, December 2020](https://cs.hse.ru/announcements/421965599.html) |
|
||||
| <a href="https://rambler.ru" class="favicon">Rambler</a> | Internet services | Analytics | — | — | [Talk in Russian, April 2018](https://medium.com/@ramblertop/разработка-api-clickhouse-для-рамблер-топ-100-f4c7e56f3141) |
|
||||
| <a href="https://retell.cc/" class="favicon">Retell</a> | Speech synthesis | Analytics | — | — | [Blog Article, August 2020](https://vc.ru/services/153732-kak-sozdat-audiostati-na-vashem-sayte-i-zachem-eto-nuzhno) |
|
||||
| <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.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://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.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) |
|
||||
| <a href="https://www.suning.com/" class="favicon">Suning</a> | E-Commerce | User behaviour analytics | — | — | [Blog article](https://www.sohu.com/a/434152235_411876) |
|
||||
| <a href="https://www.teralytics.net/" class="favicon">Teralytics</a> | Mobility | Analytics | — | — | [Tech blog](https://www.teralytics.net/knowledge-hub/visualizing-mobility-data-the-scalability-challenge) |
|
||||
| <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://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://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.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://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="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://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://carto.com/" class="favicon">CARTO</a> | Business Intelligence | Geo analytics | — | — | [Geospatial processing with ClickHouse](https://carto.com/blog/geospatial-processing-with-clickhouse/) |
|
||||
| <a href="http://public.web.cern.ch/public/" class="favicon">CERN</a> | Research | Experiment | — | — | [Press release, April 2012](https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/) |
|
||||
| <a href="http://cisco.com/" class="favicon">Cisco</a> | Networking | Traffic analysis | — | — | [Lightning talk, October 2019](https://youtu.be/-hI1vDR2oPY?t=5057) |
|
||||
| <a href="https://www.citadelsecurities.com/" class="favicon">Citadel Securities</a> | Finance | — | — | — | [Contribution, March 2019](https://github.com/ClickHouse/ClickHouse/pull/4774) |
|
||||
| <a href="https://city-mobil.ru" class="favicon">Citymobil</a> | Taxi | Analytics | — | — | [Blog Post in Russian, March 2020](https://habr.com/en/company/citymobil/blog/490660/) |
|
||||
| <a href="https://cloudflare.com" class="favicon">Cloudflare</a> | CDN | Traffic analysis | 36 servers | — | [Blog post, May 2017](https://blog.cloudflare.com/how-cloudflare-analyzes-1m-dns-queries-per-second/), [Blog post, March 2018](https://blog.cloudflare.com/http-analytics-for-6m-requests-per-second-using-clickhouse/) |
|
||||
| <a href="https://corporate.comcast.com/" class="favicon">Comcast</a> | Media | CDN Traffic Analysis | — | — | [ApacheCon 2019 Talk](https://www.youtube.com/watch?v=e9TZ6gFDjNg) |
|
||||
| <a href="https://contentsquare.com" class="favicon">ContentSquare</a> | Web analytics | Main product | — | — | [Blog post in French, November 2018](http://souslecapot.net/2018/11/21/patrick-chatain-vp-engineering-chez-contentsquare-penser-davantage-amelioration-continue-que-revolution-constante/) |
|
||||
| <a href="https://coru.net/" class="favicon">Corunet</a> | Analytics | Main product | — | — | [Slides in English, April 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup21/predictive_models.pdf) |
|
||||
| <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://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) |
|
||||
| <a href="https://www.diva-e.com" class="favicon">Diva-e</a> | Digital consulting | Main Product | — | — | [Slides in English, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup29/ClickHouse-MeetUp-Unusual-Applications-sd-2019-09-17.pdf) |
|
||||
| <a href="https://www.ecwid.com/" class="favicon">Ecwid</a> | E-commerce SaaS | Metrics, Logging | — | — | [Slides in Russian, April 2019](https://nastachku.ru/var/files/1/presentation/backend/2_Backend_6.pdf) |
|
||||
| <a href="https://www.ebay.com/" class="favicon">eBay</a> | E-commerce | Logs, Metrics and Events | — | — | [Official website, Sep 2020](https://tech.ebayinc.com/engineering/ou-online-analytical-processing/) |
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | Trading | Metrics, Logging | — | — | [Talk in Russian, May 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://fastnetmon.com/" class="favicon">FastNetMon</a> | DDoS Protection | Main Product | | — | [Official website](https://fastnetmon.com/docs-fnm-advanced/fastnetmon-advanced-traffic-persistency/) |
|
||||
| <a href="https://www.flipkart.com/" class="favicon">Flipkart</a> | e-Commerce | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=239) |
|
||||
| <a href="https://fun.co/rp" class="favicon">FunCorp</a> | Games | | — | — | [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://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://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) |
|
||||
| <a href="https://www.ivi.ru/" class="favicon">Ivi</a> | Online Cinema | Analytics, Monitoring | — | — | [Article in Russian, Jan 2018](https://habr.com/en/company/ivi/blog/347408/) |
|
||||
| <a href="https://jinshuju.net" class="favicon">Jinshuju 金数据</a> | BI Analytics | Main product | — | — | [Slides in Chinese, October 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup24/3.%20金数据数据架构调整方案Public.pdf) |
|
||||
| <a href="https://www.kodiakdata.com/" class="favicon">Kodiak Data</a> | Clouds | Main product | — | — | [Slides in Engish, April 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup13/kodiak_data.pdf) |
|
||||
| <a href="https://kontur.ru" class="favicon">Kontur</a> | Software Development | Metrics | — | — | [Talk in Russian, November 2018](https://www.youtube.com/watch?v=U4u4Bd0FtrY) |
|
||||
| <a href="https://www.kuaishou.com/" class="favicon">Kuaishou</a> | Video | — | — | — | [ClickHouse Meetup, October 2018](https://clickhouse.tech/blog/en/2018/clickhouse-community-meetup-in-beijing-on-october-28-2018/) |
|
||||
| <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://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://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://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/) |
|
||||
| <a href="https://plausible.io/" class="favicon">Plausible</a> | Analytics | Main Product | — | — | [Blog post, June 2020](https://twitter.com/PlausibleHQ/status/1273889629087969280) |
|
||||
| <a href="https://posthog.com/" class="favicon">PostHog</a> | Product Analytics | Main Product | — | — | [Release Notes, Oct 2020](https://posthog.com/blog/the-posthog-array-1-15-0) |
|
||||
| <a href="https://postmates.com/" class="favicon">Postmates</a> | Delivery | — | — | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=188) |
|
||||
| <a href="http://www.pragma-innovation.fr/" class="favicon">Pragma Innovation</a> | Telemetry and Big Data Analysis | Main product | — | — | [Slides in English, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup18/4_pragma_innovation.pdf) |
|
||||
| <a href="https://www.qingcloud.com/" class="favicon">QINGCLOUD</a> | Cloud services | Main product | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/4.%20Cloud%20%2B%20TSDB%20for%20ClickHouse%20张健%20QingCloud.pdf) |
|
||||
| <a href="https://qrator.net" class="favicon">Qrator</a> | DDoS protection | Main product | — | — | [Blog Post, March 2019](https://blog.qrator.net/en/clickhouse-ddos-mitigation_37/) |
|
||||
| <a href="https://www.rbinternational.com/" class="favicon">Raiffeisenbank</a> | Banking | Analytics | — | — | [Lecture in Russian, December 2020](https://cs.hse.ru/announcements/421965599.html) |
|
||||
| <a href="https://rambler.ru" class="favicon">Rambler</a> | Internet services | Analytics | — | — | [Talk in Russian, April 2018](https://medium.com/@ramblertop/разработка-api-clickhouse-для-рамблер-топ-100-f4c7e56f3141) |
|
||||
| <a href="https://retell.cc/" class="favicon">Retell</a> | Speech synthesis | Analytics | — | — | [Blog Article, August 2020](https://vc.ru/services/153732-kak-sozdat-audiostati-na-vashem-sayte-i-zachem-eto-nuzhno) |
|
||||
| <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.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://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.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) |
|
||||
| <a href="https://www.suning.com/" class="favicon">Suning</a> | E-Commerce | User behaviour analytics | — | — | [Blog article](https://www.sohu.com/a/434152235_411876) |
|
||||
| <a href="https://www.teralytics.net/" class="favicon">Teralytics</a> | Mobility | Analytics | — | — | [Tech blog](https://www.teralytics.net/knowledge-hub/visualizing-mobility-data-the-scalability-challenge) |
|
||||
| <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://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://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.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://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="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://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://www.kakaocorp.com/" class="favicon">kakaocorp</a> | Internet company | — | — | — | [if(kakao)2020 conference](https://if.kakao.com/session/117) |
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/introduction/adopters/) <!--hide-->
|
||||
|
||||
@ -27,6 +27,8 @@ We recommend using SQL-driven workflow. Both of the configuration methods work s
|
||||
!!! note "Warning"
|
||||
You can’t manage the same access entity by both configuration methods simultaneously.
|
||||
|
||||
To see all users, roles, profiles, etc. and all their grants use [SHOW ACCESS](../sql-reference/statements/show.md#show-access-statement) statement.
|
||||
|
||||
## Usage {#access-control-usage}
|
||||
|
||||
By default, the ClickHouse server provides the `default` user account which is not allowed using SQL-driven access control and account management but has all the rights and permissions. The `default` user account is used in any cases when the username is not defined, for example, at login from client or in distributed queries. In distributed query processing a default user account is used, if the configuration of the server or cluster doesn’t specify the [user and password](../engines/table-engines/special/distributed.md) properties.
|
||||
|
||||
26
docs/en/operations/caches.md
Normal file
26
docs/en/operations/caches.md
Normal file
@ -0,0 +1,26 @@
|
||||
---
|
||||
toc_priority: 65
|
||||
toc_title: Caches
|
||||
---
|
||||
|
||||
# Cache Types {#cache-types}
|
||||
|
||||
When performing queries, ClichHouse uses different caches.
|
||||
|
||||
Main cache types:
|
||||
- `mark_cache` — Cache of marks used by table engines of the [MergeTree](../engines/table-engines/mergetree-family/mergetree.md) family.
|
||||
- `uncompressed_cache` — Cache of uncompressed data used by table engines of the [MergeTree](../engines/table-engines/mergetree-family/mergetree.md) family.
|
||||
|
||||
Additional cache types:
|
||||
- DNS cache
|
||||
- [regexp](../interfaces/formats.md#data-format-regexp) cache
|
||||
- compiled expressions cache
|
||||
- [Avro format](../interfaces/formats.md#data-format-avro) schemas cache
|
||||
- [dictionaries data cache](../sql-reference/dictionaries/index.md)
|
||||
|
||||
Indirectly used:
|
||||
- OS page cache
|
||||
|
||||
To drop cache, use [SYSTEM DROP ... CACHE](../sql-reference/statements/system.md) statements.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/caches/) <!--hide-->
|
||||
@ -296,11 +296,33 @@ Useful for breaking away from a specific network interface.
|
||||
<interserver_http_host>example.yandex.ru</interserver_http_host>
|
||||
```
|
||||
|
||||
## interserver_https_port {#interserver-https-port}
|
||||
|
||||
Port for exchanging data between ClickHouse servers over `HTTPS`.
|
||||
|
||||
**Example**
|
||||
|
||||
``` xml
|
||||
<interserver_https_port>9010</interserver_https_port>
|
||||
```
|
||||
|
||||
## interserver_https_host {#interserver-https-host}
|
||||
|
||||
Similar to `interserver_http_host`, except that this hostname can be used by other servers to access this server over `HTTPS`.
|
||||
|
||||
**Example**
|
||||
|
||||
``` xml
|
||||
<interserver_https_host>example.yandex.ru</interserver_https_host>
|
||||
```
|
||||
|
||||
## interserver_http_credentials {#server-settings-interserver-http-credentials}
|
||||
|
||||
The username and password used to authenticate during [replication](../../engines/table-engines/mergetree-family/replication.md) with the Replicated\* engines. These credentials are used only for communication between replicas and are unrelated to credentials for ClickHouse clients. The server is checking these credentials for connecting replicas and use the same credentials when connecting to other replicas. So, these credentials should be set the same for all replicas in a cluster.
|
||||
By default, the authentication is not used.
|
||||
|
||||
**Note:** These credentials are common for replication through `HTTP` and `HTTPS`.
|
||||
|
||||
This section contains the following parameters:
|
||||
|
||||
- `user` — username.
|
||||
|
||||
@ -428,7 +428,7 @@ Possible values:
|
||||
|
||||
- `'basic'` — Use basic parser.
|
||||
|
||||
ClickHouse can parse only the basic `YYYY-MM-DD HH:MM:SS` or `YYYY-MM-DD` format. For example, `'2019-08-20 10:18:56'` or `2019-08-20`.
|
||||
ClickHouse can parse only the basic `YYYY-MM-DD HH:MM:SS` or `YYYY-MM-DD` format. For example, `2019-08-20 10:18:56` or `2019-08-20`.
|
||||
|
||||
Default value: `'basic'`.
|
||||
|
||||
@ -443,19 +443,19 @@ Allows choosing different output formats of the text representation of date and
|
||||
|
||||
Possible values:
|
||||
|
||||
- `'simple'` - Simple output format.
|
||||
- `simple` - Simple output format.
|
||||
|
||||
Clickhouse output date and time `YYYY-MM-DD hh:mm:ss` format. For example, `'2019-08-20 10:18:56'`. Calculation is performed according to the data type's time zone (if present) or server time zone.
|
||||
Clickhouse output date and time `YYYY-MM-DD hh:mm:ss` format. For example, `2019-08-20 10:18:56`. The calculation is performed according to the data type's time zone (if present) or server time zone.
|
||||
|
||||
- `'iso'` - ISO output format.
|
||||
- `iso` - ISO output format.
|
||||
|
||||
Clickhouse output date and time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) `YYYY-MM-DDThh:mm:ssZ` format. For example, `'2019-08-20T10:18:56Z'`. Note that output is in UTC (`Z` means UTC).
|
||||
Clickhouse output date and time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) `YYYY-MM-DDThh:mm:ssZ` format. For example, `2019-08-20T10:18:56Z`. Note that output is in UTC (`Z` means UTC).
|
||||
|
||||
- `'unix_timestamp'` - Unix timestamp output format.
|
||||
- `unix_timestamp` - Unix timestamp output format.
|
||||
|
||||
Clickhouse output date and time in [Unix timestamp](https://en.wikipedia.org/wiki/Unix_time) format. For example `'1566285536'`.
|
||||
Clickhouse output date and time in [Unix timestamp](https://en.wikipedia.org/wiki/Unix_time) format. For example `1566285536`.
|
||||
|
||||
Default value: `'simple'`.
|
||||
Default value: `simple`.
|
||||
|
||||
See also:
|
||||
|
||||
@ -1944,6 +1944,21 @@ Possible values:
|
||||
|
||||
Default value: 16.
|
||||
|
||||
## background_message_broker_schedule_pool_size {#background_message_broker_schedule_pool_size}
|
||||
|
||||
Sets the number of threads performing background tasks for message streaming. This setting is applied at the ClickHouse server start and can’t be changed in a user session.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Any positive integer.
|
||||
|
||||
Default value: 16.
|
||||
|
||||
**See Also**
|
||||
|
||||
- [Kafka](../../engines/table-engines/integrations/kafka.md#kafka) engine
|
||||
- [RabbitMQ](../../engines/table-engines/integrations/rabbitmq.md#rabbitmq-engine) engine
|
||||
|
||||
## validate_polygons {#validate_polygons}
|
||||
|
||||
Enables or disables throwing an exception in the [pointInPolygon](../../sql-reference/functions/geo/index.md#pointinpolygon) function, if the polygon is self-intersecting or self-tangent.
|
||||
@ -2489,7 +2504,6 @@ Possible values:
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
|
||||
## aggregate_functions_null_for_empty {#aggregate_functions_null_for_empty}
|
||||
|
||||
Enables or disables rewriting all aggregate functions in a query, adding [-OrNull](../../sql-reference/aggregate-functions/combinators.md#agg-functions-combinator-ornull) suffix to them. Enable it for SQL standard compatibility.
|
||||
@ -2506,11 +2520,7 @@ Default value: 0.
|
||||
|
||||
Consider the following query with aggregate functions:
|
||||
```sql
|
||||
SELECT
|
||||
SUM(-1),
|
||||
MAX(0)
|
||||
FROM system.one
|
||||
WHERE 0
|
||||
SELECT SUM(-1), MAX(0) FROM system.one WHERE 0;
|
||||
```
|
||||
|
||||
With `aggregate_functions_null_for_empty = 0` it would produce:
|
||||
@ -2527,7 +2537,6 @@ With `aggregate_functions_null_for_empty = 1` the result would be:
|
||||
└───────────────┴──────────────┘
|
||||
```
|
||||
|
||||
|
||||
## union_default_mode {#union-default-mode}
|
||||
|
||||
Sets a mode for combining `SELECT` query results. The setting is only used when shared with [UNION](../../sql-reference/statements/select/union.md) without explicitly specifying the `UNION ALL` or `UNION DISTINCT`.
|
||||
@ -2542,7 +2551,6 @@ Default value: `''`.
|
||||
|
||||
See examples in [UNION](../../sql-reference/statements/select/union.md).
|
||||
|
||||
|
||||
## data_type_default_nullable {#data_type_default_nullable}
|
||||
|
||||
Allows data types without explicit modifiers [NULL or NOT NULL](../../sql-reference/statements/create/table.md#null-modifiers) in column definition will be [Nullable](../../sql-reference/data-types/nullable.md#data_type-nullable).
|
||||
@ -2554,7 +2562,6 @@ Possible values:
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
|
||||
## execute_merges_on_single_replica_time_threshold {#execute-merges-on-single-replica-time-threshold}
|
||||
|
||||
Enables special logic to perform merges on replicas.
|
||||
@ -2574,4 +2581,15 @@ High values for that threshold may lead to replication delays.
|
||||
|
||||
It can be useful when merges are CPU bounded not IO bounded (performing heavy data compression, calculating aggregate functions or default expressions that require a large amount of calculations, or just very high number of tiny merges).
|
||||
|
||||
## max_final_threads {#max-final-threads}
|
||||
|
||||
Sets the maximum number of parallel threads for the `SELECT` query data read phase with the [FINAL](../../sql-reference/statements/select/from.md#select-from-final) modifier.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Positive integer.
|
||||
- 0 or 1 — Disabled. `SELECT` queries are executed in a single thread.
|
||||
|
||||
Default value: `16`.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/settings/settings/) <!-- hide -->
|
||||
|
||||
@ -1,22 +1,21 @@
|
||||
# system.distributed_ddl_queue {#system_tables-distributed_ddl_queue}
|
||||
|
||||
Contains information about distributed ddl queries (ON CLUSTER queries) that were executed on a cluster.
|
||||
Contains information about [distributed ddl queries (ON CLUSTER clause)](../../sql-reference/distributed-ddl.md) that were executed on a cluster.
|
||||
|
||||
Columns:
|
||||
|
||||
- `entry` ([String](../../sql-reference/data-types/string.md)) - Query id.
|
||||
- `host_name` ([String](../../sql-reference/data-types/string.md)) - Hostname.
|
||||
- `host_address` ([String](../../sql-reference/data-types/string.md)) - IP address that the Hostname resolves to.
|
||||
- `port` ([UInt16](../../sql-reference/data-types/int-uint.md)) - Host Port.
|
||||
- `status` ([Enum](../../sql-reference/data-types/enum.md)) - Stats of the query.
|
||||
- `cluster` ([String](../../sql-reference/data-types/string.md)) - Cluster name.
|
||||
- `query` ([String](../../sql-reference/data-types/string.md)) - Query executed.
|
||||
- `initiator` ([String](../../sql-reference/data-types/string.md)) - Nod that executed the query.
|
||||
- `query_start_time` ([Date](../../sql-reference/data-types/date.md)) — Query start time.
|
||||
- `query_finish_time` ([Date](../../sql-reference/data-types/date.md)) — Query finish time.
|
||||
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/datetime64.md)) — Duration of query execution in milliseconds.
|
||||
- `exception_code` ([Enum](../../sql-reference/data-types/enum.md)) - Exception code from ZooKeeper.
|
||||
|
||||
- `entry` ([String](../../sql-reference/data-types/string.md)) — Query id.
|
||||
- `host_name` ([String](../../sql-reference/data-types/string.md)) — Hostname.
|
||||
- `host_address` ([String](../../sql-reference/data-types/string.md)) — IP address that the Hostname resolves to.
|
||||
- `port` ([UInt16](../../sql-reference/data-types/int-uint.md)) — Host Port.
|
||||
- `status` ([Enum8](../../sql-reference/data-types/enum.md)) — Status of the query.
|
||||
- `cluster` ([String](../../sql-reference/data-types/string.md)) — Cluster name.
|
||||
- `query` ([String](../../sql-reference/data-types/string.md)) — Query executed.
|
||||
- `initiator` ([String](../../sql-reference/data-types/string.md)) — Node that executed the query.
|
||||
- `query_start_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Query start time.
|
||||
- `query_finish_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Query finish time.
|
||||
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/datetime64.md)) — Duration of query execution (in milliseconds).
|
||||
- `exception_code` ([Enum8](../../sql-reference/data-types/enum.md)) — Exception code from [ZooKeeper](../../operations/tips.md#zookeeper).
|
||||
|
||||
**Example**
|
||||
|
||||
@ -62,6 +61,5 @@ exception_code: ZOK
|
||||
2 rows in set. Elapsed: 0.025 sec.
|
||||
```
|
||||
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/distributed_ddl_queuedistributed_ddl_queue.md) <!--hide-->
|
||||
|
||||
@ -7,16 +7,16 @@ Columns:
|
||||
- `id` ([UUID](../../sql-reference/data-types/uuid.md)) — Quota ID.
|
||||
- `storage`([String](../../sql-reference/data-types/string.md)) — Storage of quotas. Possible value: “users.xml” if a quota configured in the users.xml file, “disk” if a quota configured by an SQL-query.
|
||||
- `keys` ([Array](../../sql-reference/data-types/array.md)([Enum8](../../sql-reference/data-types/enum.md))) — Key specifies how the quota should be shared. If two connections use the same quota and key, they share the same amounts of resources. Values:
|
||||
- `[]` — All users share the same quota.
|
||||
- `['user_name']` — Connections with the same user name share the same quota.
|
||||
- `['ip_address']` — Connections from the same IP share the same quota.
|
||||
- `['client_key']` — Connections with the same key share the same quota. A key must be explicitly provided by a client. When using [clickhouse-client](../../interfaces/cli.md), pass a key value in the `--quota-key` parameter, or use the `quota_key` parameter in the client configuration file. When using HTTP interface, use the `X-ClickHouse-Quota` header.
|
||||
- `['user_name', 'client_key']` — Connections with the same `client_key` share the same quota. If a key isn’t provided by a client, the qouta is tracked for `user_name`.
|
||||
- `['client_key', 'ip_address']` — Connections with the same `client_key` share the same quota. If a key isn’t provided by a client, the qouta is tracked for `ip_address`.
|
||||
- `[]` — All users share the same quota.
|
||||
- `['user_name']` — Connections with the same user name share the same quota.
|
||||
- `['ip_address']` — Connections from the same IP share the same quota.
|
||||
- `['client_key']` — Connections with the same key share the same quota. A key must be explicitly provided by a client. When using [clickhouse-client](../../interfaces/cli.md), pass a key value in the `--quota-key` parameter, or use the `quota_key` parameter in the client configuration file. When using HTTP interface, use the `X-ClickHouse-Quota` header.
|
||||
- `['user_name', 'client_key']` — Connections with the same `client_key` share the same quota. If a key isn’t provided by a client, the qouta is tracked for `user_name`.
|
||||
- `['client_key', 'ip_address']` — Connections with the same `client_key` share the same quota. If a key isn’t provided by a client, the qouta is tracked for `ip_address`.
|
||||
- `durations` ([Array](../../sql-reference/data-types/array.md)([UInt64](../../sql-reference/data-types/int-uint.md))) — Time interval lengths in seconds.
|
||||
- `apply_to_all` ([UInt8](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Logical value. It shows which users the quota is applied to. Values:
|
||||
- `0` — The quota applies to users specify in the `apply_to_list`.
|
||||
- `1` — The quota applies to all users except those listed in `apply_to_except`.
|
||||
- `0` — The quota applies to users specify in the `apply_to_list`.
|
||||
- `1` — The quota applies to all users except those listed in `apply_to_except`.
|
||||
- `apply_to_list` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — List of user names/[roles](../../operations/access-rights.md#role-management) that the quota should be applied to.
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — List of user names/roles that the quota should not apply to.
|
||||
|
||||
|
||||
@ -7,7 +7,7 @@ toc_title: clickhouse-benchmark
|
||||
|
||||
Connects to a ClickHouse server and repeatedly sends specified queries.
|
||||
|
||||
Syntax:
|
||||
**Syntax**
|
||||
|
||||
``` bash
|
||||
$ clickhouse-benchmark --query ["single query"] [keys]
|
||||
@ -28,35 +28,35 @@ $ clickhouse-benchmark [keys] <<< "single query"
|
||||
If you want to send a set of queries, create a text file and place each query on the individual string in this file. For example:
|
||||
|
||||
``` sql
|
||||
SELECT * FROM system.numbers LIMIT 10000000
|
||||
SELECT 1
|
||||
SELECT * FROM system.numbers LIMIT 10000000;
|
||||
SELECT 1;
|
||||
```
|
||||
|
||||
Then pass this file to a standard input of `clickhouse-benchmark`.
|
||||
Then pass this file to a standard input of `clickhouse-benchmark`:
|
||||
|
||||
``` bash
|
||||
clickhouse-benchmark [keys] < queries_file
|
||||
clickhouse-benchmark [keys] < queries_file;
|
||||
```
|
||||
|
||||
## Keys {#clickhouse-benchmark-keys}
|
||||
|
||||
- `--query=WORD` - Query to execute. If this parameter is not passed clickhouse-benchmark will read queries from standard input.
|
||||
- `--query=QUERY` — Query to execute. If this parameter is not passed, `clickhouse-benchmark` will read queries from standard input.
|
||||
- `-c N`, `--concurrency=N` — Number of queries that `clickhouse-benchmark` sends simultaneously. Default value: 1.
|
||||
- `-d N`, `--delay=N` — Interval in seconds between intermediate reports (set 0 to disable reports). Default value: 1.
|
||||
- `-h WORD`, `--host=WORD` — Server host. Default value: `localhost`. For the [comparison mode](#clickhouse-benchmark-comparison-mode) you can use multiple `-h` keys.
|
||||
- `-d N`, `--delay=N` — Interval in seconds between intermediate reports (to disable reports set 0). Default value: 1.
|
||||
- `-h HOST`, `--host=HOST` — Server host. Default value: `localhost`. For the [comparison mode](#clickhouse-benchmark-comparison-mode) you can use multiple `-h` keys.
|
||||
- `-p N`, `--port=N` — Server port. Default value: 9000. For the [comparison mode](#clickhouse-benchmark-comparison-mode) you can use multiple `-p` keys.
|
||||
- `-i N`, `--iterations=N` — Total number of queries. Default value: 0 (repeat forever).
|
||||
- `-r`, `--randomize` — Random order of queries execution if there is more then one input query.
|
||||
- `-s`, `--secure` — Using TLS connection.
|
||||
- `-r`, `--randomize` — Random order of queries execution if there is more than one input query.
|
||||
- `-s`, `--secure` — Using `TLS` connection.
|
||||
- `-t N`, `--timelimit=N` — Time limit in seconds. `clickhouse-benchmark` stops sending queries when the specified time limit is reached. Default value: 0 (time limit disabled).
|
||||
- `--confidence=N` — Level of confidence for T-test. Possible values: 0 (80%), 1 (90%), 2 (95%), 3 (98%), 4 (99%), 5 (99.5%). Default value: 5. In the [comparison mode](#clickhouse-benchmark-comparison-mode) `clickhouse-benchmark` performs the [Independent two-sample Student’s t-test](https://en.wikipedia.org/wiki/Student%27s_t-test#Independent_two-sample_t-test) test to determine whether the two distributions aren’t different with the selected level of confidence.
|
||||
- `--confidence=N` — Level of confidence for T-test. Possible values: 0 (80%), 1 (90%), 2 (95%), 3 (98%), 4 (99%), 5 (99.5%). Default value: 5. In the [comparison mode](#clickhouse-benchmark-comparison-mode) `clickhouse-benchmark` performs the [Independent two-sample Student’s t-test](https://en.wikipedia.org/wiki/Student%27s_t-test#Independent_two-sample_t-test) to determine whether the two distributions aren’t different with the selected level of confidence.
|
||||
- `--cumulative` — Printing cumulative data instead of data per interval.
|
||||
- `--database=DATABASE_NAME` — ClickHouse database name. Default value: `default`.
|
||||
- `--json=FILEPATH` — JSON output. When the key is set, `clickhouse-benchmark` outputs a report to the specified JSON-file.
|
||||
- `--json=FILEPATH` — `JSON` output. When the key is set, `clickhouse-benchmark` outputs a report to the specified JSON-file.
|
||||
- `--user=USERNAME` — ClickHouse user name. Default value: `default`.
|
||||
- `--password=PSWD` — ClickHouse user password. Default value: empty string.
|
||||
- `--stacktrace` — Stack traces output. When the key is set, `clickhouse-bencmark` outputs stack traces of exceptions.
|
||||
- `--stage=WORD` — Query processing stage at server. ClickHouse stops query processing and returns answer to `clickhouse-benchmark` at the specified stage. Possible values: `complete`, `fetch_columns`, `with_mergeable_state`. Default value: `complete`.
|
||||
- `--stage=WORD` — Query processing stage at server. ClickHouse stops query processing and returns an answer to `clickhouse-benchmark` at the specified stage. Possible values: `complete`, `fetch_columns`, `with_mergeable_state`. Default value: `complete`.
|
||||
- `--help` — Shows the help message.
|
||||
|
||||
If you want to apply some [settings](../../operations/settings/index.md) for queries, pass them as a key `--<session setting name>= SETTING_VALUE`. For example, `--max_memory_usage=1048576`.
|
||||
@ -96,11 +96,11 @@ In the report you can find:
|
||||
|
||||
- Endpoint of ClickHouse server.
|
||||
- Number of processed queries.
|
||||
- QPS: QPS: How many queries server performed per second during a period specified in the `--delay` argument.
|
||||
- RPS: How many rows server read per second during a period specified in the `--delay` argument.
|
||||
- MiB/s: How many mebibytes server read per second during a period specified in the `--delay` argument.
|
||||
- result RPS: How many rows placed by server to the result of a query per second during a period specified in the `--delay` argument.
|
||||
- result MiB/s. How many mebibytes placed by server to the result of a query per second during a period specified in the `--delay` argument.
|
||||
- QPS: How many queries the server performed per second during a period specified in the `--delay` argument.
|
||||
- RPS: How many rows the server reads per second during a period specified in the `--delay` argument.
|
||||
- MiB/s: How many mebibytes the server reads per second during a period specified in the `--delay` argument.
|
||||
- result RPS: How many rows placed by the server to the result of a query per second during a period specified in the `--delay` argument.
|
||||
- result MiB/s. How many mebibytes placed by the server to the result of a query per second during a period specified in the `--delay` argument.
|
||||
|
||||
- Percentiles of queries execution time.
|
||||
|
||||
@ -159,3 +159,5 @@ localhost:9000, queries 10, QPS: 6.082, RPS: 121959604.568, MiB/s: 930.478, resu
|
||||
99.900% 0.172 sec.
|
||||
99.990% 0.172 sec.
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/utilities/clickhouse-benchmark.md) <!--hide-->
|
||||
|
||||
@ -71,8 +71,8 @@ Parameters:
|
||||
<remote_servers>
|
||||
<source_cluster>
|
||||
<!--
|
||||
source cluster & destination clusters accepts exactly the same
|
||||
parameters as parameters for usual Distributed table
|
||||
source cluster & destination clusters accept exactly the same
|
||||
parameters as parameters for the usual Distributed table
|
||||
see https://clickhouse.tech/docs/en/engines/table-engines/special/distributed/
|
||||
-->
|
||||
<shard>
|
||||
|
||||
@ -16,7 +16,7 @@ By default `clickhouse-local` does not have access to data on the same host, but
|
||||
!!! warning "Warning"
|
||||
It is not recommended to load production server configuration into `clickhouse-local` because data can be damaged in case of human error.
|
||||
|
||||
For temporary data, a unique temporary data directory is created by default. If you want to override this behavior, the data directory can be explicitly specified with the `-- --path` option.
|
||||
For temporary data, a unique temporary data directory is created by default.
|
||||
|
||||
## Usage {#usage}
|
||||
|
||||
@ -32,15 +32,22 @@ Arguments:
|
||||
- `-S`, `--structure` — table structure for input data.
|
||||
- `-if`, `--input-format` — input format, `TSV` by default.
|
||||
- `-f`, `--file` — path to data, `stdin` by default.
|
||||
- `-q` `--query` — queries to execute with `;` as delimeter. You must specify either `query` or `queries-file` option.
|
||||
- `-qf` `--queries-file` - file path with queries to execute. You must specify either `query` or `queries-file` option.
|
||||
- `-q`, `--query` — queries to execute with `;` as delimeter. You must specify either `query` or `queries-file` option.
|
||||
- `-qf`, `--queries-file` - file path with queries to execute. You must specify either `query` or `queries-file` option.
|
||||
- `-N`, `--table` — table name where to put output data, `table` by default.
|
||||
- `-of`, `--format`, `--output-format` — output format, `TSV` by default.
|
||||
- `-d`, `--database` — default database, `_local` by default.
|
||||
- `--stacktrace` — whether to dump debug output in case of exception.
|
||||
- `--echo` — print query before execution.
|
||||
- `--verbose` — more details on query execution.
|
||||
- `-s` — disables `stderr` logging.
|
||||
- `--config-file` — path to configuration file in same format as for ClickHouse server, by default the configuration empty.
|
||||
- `--logger.console` — Log to console.
|
||||
- `--logger.log` — Log file name.
|
||||
- `--logger.level` — Log level.
|
||||
- `--ignore-error` — do not stop processing if a query failed.
|
||||
- `-c`, `--config-file` — path to configuration file in same format as for ClickHouse server, by default the configuration empty.
|
||||
- `--no-system-tables` — do not attach system tables.
|
||||
- `--help` — arguments references for `clickhouse-local`.
|
||||
- `-V`, `--version` — print version information and exit.
|
||||
|
||||
Also there are arguments for each ClickHouse configuration variable which are more commonly used instead of `--config-file`.
|
||||
|
||||
|
||||
@ -241,7 +241,7 @@ windowFunnel(window, [mode])(timestamp, cond1, cond2, ..., condN)
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `window` — Length of the sliding window in seconds.
|
||||
- `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.
|
||||
- `timestamp` — Name of the column containing the timestamp. Data types supported: [Date](../../sql-reference/data-types/date.md), [DateTime](../../sql-reference/data-types/datetime.md#data_type-datetime) and other unsigned integer types (note that even though timestamp supports the `UInt64` type, it’s value can’t exceed the Int64 maximum, which is 2^63 - 1).
|
||||
|
||||
@ -4,6 +4,28 @@ toc_priority: 106
|
||||
|
||||
# argMax {#agg-function-argmax}
|
||||
|
||||
Syntax: `argMax(arg, val)`
|
||||
Syntax: `argMax(arg, val)` or `argMax(tuple(arg, val))`
|
||||
|
||||
Calculates the `arg` value for a maximum `val` value. If there are several different values of `arg` for maximum values of `val`, the first of these values encountered is output.
|
||||
|
||||
Tuple version of this function will return the tuple with the maximum `val` value. It is convinient for use with `SimpleAggregateFunction`.
|
||||
|
||||
**Example:**
|
||||
|
||||
``` text
|
||||
┌─user─────┬─salary─┐
|
||||
│ director │ 5000 │
|
||||
│ manager │ 3000 │
|
||||
│ worker │ 1000 │
|
||||
└──────────┴────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT argMax(user, salary), argMax(tuple(user, salary)) FROM salary
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─argMax(user, salary)─┬─argMax(tuple(user, salary))─┐
|
||||
│ director │ ('director',5000) │
|
||||
└──────────────────────┴─────────────────────────────┘
|
||||
```
|
||||
|
||||
@ -4,10 +4,12 @@ toc_priority: 105
|
||||
|
||||
# argMin {#agg-function-argmin}
|
||||
|
||||
Syntax: `argMin(arg, val)`
|
||||
Syntax: `argMin(arg, val)` or `argMin(tuple(arg, val))`
|
||||
|
||||
Calculates the `arg` value for a minimal `val` value. If there are several different values of `arg` for minimal values of `val`, the first of these values encountered is output.
|
||||
|
||||
Tuple version of this function will return the tuple with the minimal `val` value. It is convinient for use with `SimpleAggregateFunction`.
|
||||
|
||||
**Example:**
|
||||
|
||||
``` text
|
||||
@ -19,11 +21,11 @@ Calculates the `arg` value for a minimal `val` value. If there are several diffe
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT argMin(user, salary) FROM salary
|
||||
SELECT argMin(user, salary), argMin(tuple(user, salary)) FROM salary
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─argMin(user, salary)─┐
|
||||
│ worker │
|
||||
└──────────────────────┘
|
||||
┌─argMin(user, salary)─┬─argMin(tuple(user, salary))─┐
|
||||
│ worker │ ('worker',1000) │
|
||||
└──────────────────────┴─────────────────────────────┘
|
||||
```
|
||||
|
||||
29
docs/en/sql-reference/data-types/multiword-types.md
Normal file
29
docs/en/sql-reference/data-types/multiword-types.md
Normal file
@ -0,0 +1,29 @@
|
||||
---
|
||||
toc_priority: 61
|
||||
toc_title: Multiword Type Names
|
||||
---
|
||||
|
||||
# Multiword Types {#multiword-types}
|
||||
|
||||
When creating tables, you can use data types with a name consisting of several words. This is implemented for better SQL compatibility.
|
||||
|
||||
## Multiword Types Support {#multiword-types-support}
|
||||
|
||||
| Multiword types | Simple types |
|
||||
|----------------------------------|--------------------------------------------------------------|
|
||||
| DOUBLE PRECISION | [Float64](../../sql-reference/data-types/float.md) |
|
||||
| CHAR LARGE OBJECT | [String](../../sql-reference/data-types/string.md) |
|
||||
| CHAR VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
| CHARACTER LARGE OBJECT | [String](../../sql-reference/data-types/string.md) |
|
||||
| CHARACTER VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
| NCHAR LARGE OBJECT | [String](../../sql-reference/data-types/string.md) |
|
||||
| NCHAR VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
| NATIONAL CHARACTER LARGE OBJECT | [String](../../sql-reference/data-types/string.md) |
|
||||
| NATIONAL CHARACTER VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
| NATIONAL CHAR VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
| NATIONAL CHARACTER | [String](../../sql-reference/data-types/string.md) |
|
||||
| NATIONAL CHAR | [String](../../sql-reference/data-types/string.md) |
|
||||
| BINARY LARGE OBJECT | [String](../../sql-reference/data-types/string.md) |
|
||||
| BINARY VARYING | [String](../../sql-reference/data-types/string.md) |
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/data-types/multiword-types/) <!--hide-->
|
||||
@ -18,6 +18,8 @@ The following aggregate functions are supported:
|
||||
- [`sumMap`](../../sql-reference/aggregate-functions/reference/summap.md#agg_functions-summap)
|
||||
- [`minMap`](../../sql-reference/aggregate-functions/reference/minmap.md#agg_functions-minmap)
|
||||
- [`maxMap`](../../sql-reference/aggregate-functions/reference/maxmap.md#agg_functions-maxmap)
|
||||
- [`argMin`](../../sql-reference/aggregate-functions/reference/argmin.md)
|
||||
- [`argMax`](../../sql-reference/aggregate-functions/reference/argmax.md)
|
||||
|
||||
Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes. `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function.
|
||||
|
||||
|
||||
@ -11,7 +11,7 @@ Key length depends on encryption mode. It is 16, 24, and 32 bytes long for `-128
|
||||
|
||||
Initialization vector length is always 16 bytes (bytes in excess of 16 are ignored).
|
||||
|
||||
Note that these functions work slowly.
|
||||
Note that these functions work slowly until ClickHouse 21.1.
|
||||
|
||||
## encrypt {#encrypt}
|
||||
|
||||
@ -41,7 +41,7 @@ encrypt('mode', 'plaintext', 'key' [, iv, aad])
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Ciphered String. [String](../../sql-reference/data-types/string.md#string).
|
||||
- Ciphertext binary string. [String](../../sql-reference/data-types/string.md#string).
|
||||
|
||||
**Examples**
|
||||
|
||||
@ -52,57 +52,38 @@ Query:
|
||||
``` sql
|
||||
CREATE TABLE encryption_test
|
||||
(
|
||||
input String,
|
||||
key String DEFAULT unhex('fb9958e2e897ef3fdb49067b51a24af645b3626eed2f9ea1dc7fd4dd71b7e38f9a68db2a3184f952382c783785f9d77bf923577108a88adaacae5c141b1576b0'),
|
||||
iv String DEFAULT unhex('8CA3554377DFF8A369BC50A89780DD85'),
|
||||
key32 String DEFAULT substring(key, 1, 32),
|
||||
key24 String DEFAULT substring(key, 1, 24),
|
||||
key16 String DEFAULT substring(key, 1, 16)
|
||||
) Engine = Memory;
|
||||
`comment` String,
|
||||
`secret` String
|
||||
)
|
||||
ENGINE = Memory
|
||||
```
|
||||
|
||||
Insert this data:
|
||||
Insert some data (please avoid storing the keys/ivs in the database as this undermines the whole concept of encryption), also storing 'hints' is unsafe too and used only for illustrative purposes:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
INSERT INTO encryption_test (input) VALUES (''), ('text'), ('What Is ClickHouse?');
|
||||
INSERT INTO encryption_test VALUES('aes-256-cfb128 no IV', encrypt('aes-256-cfb128', 'Secret', '12345678910121314151617181920212')),\
|
||||
('aes-256-cfb128 no IV, different key', encrypt('aes-256-cfb128', 'Secret', 'keykeykeykeykeykeykeykeykeykeyke')),\
|
||||
('aes-256-cfb128 with IV', encrypt('aes-256-cfb128', 'Secret', '12345678910121314151617181920212', 'iviviviviviviviv')),\
|
||||
('aes-256-cbc no IV', encrypt('aes-256-cbc', 'Secret', '12345678910121314151617181920212'));
|
||||
```
|
||||
|
||||
Example without `iv`:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-128-ecb' AS mode, hex(encrypt(mode, input, key16)) FROM encryption_test;
|
||||
SELECT comment, hex(secret) FROM encryption_test;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─hex(encrypt('aes-128-ecb', input, key16))────────────────────────┐
|
||||
│ aes-128-ecb │ 4603E6862B0D94BBEC68E0B0DF51D60F │
|
||||
│ aes-128-ecb │ 3004851B86D3F3950672DE7085D27C03 │
|
||||
│ aes-128-ecb │ E807F8C8D40A11F65076361AFC7D8B68D8658C5FAA6457985CAA380F16B3F7E4 │
|
||||
└─────────────┴──────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Example with `iv`:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-256-ctr' AS mode, hex(encrypt(mode, input, key32, iv)) FROM encryption_test;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─hex(encrypt('aes-256-ctr', input, key32, iv))─┐
|
||||
│ aes-256-ctr │ │
|
||||
│ aes-256-ctr │ 7FB039F7 │
|
||||
│ aes-256-ctr │ 5CBD20F7ABD3AC41FCAA1A5C0E119E2B325949 │
|
||||
└─────────────┴───────────────────────────────────────────────┘
|
||||
┌─comment─────────────────────────────┬─hex(secret)──────────────────────┐
|
||||
│ aes-256-cfb128 no IV │ B4972BDC4459 │
|
||||
│ aes-256-cfb128 no IV, different key │ 2FF57C092DC9 │
|
||||
│ aes-256-cfb128 with IV │ 5E6CB398F653 │
|
||||
│ aes-256-cbc no IV │ 1BC0629A92450D9E73A00E7D02CF4142 │
|
||||
└─────────────────────────────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
Example with `-gcm`:
|
||||
@ -110,40 +91,26 @@ Example with `-gcm`:
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-256-gcm' AS mode, hex(encrypt(mode, input, key32, iv)) FROM encryption_test;
|
||||
INSERT INTO encryption_test VALUES('aes-256-gcm', encrypt('aes-256-gcm', 'Secret', '12345678910121314151617181920212', 'iviviviviviviviv')), \
|
||||
('aes-256-gcm with AAD', encrypt('aes-256-gcm', 'Secret', '12345678910121314151617181920212', 'iviviviviviviviv', 'aad'));
|
||||
|
||||
SELECT comment, hex(secret) FROM encryption_test WHERE comment LIKE '%gcm%';
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─hex(encrypt('aes-256-gcm', input, key32, iv))──────────────────────────┐
|
||||
│ aes-256-gcm │ E99DBEBC01F021758352D7FBD9039EFA │
|
||||
│ aes-256-gcm │ 8742CE3A7B0595B281C712600D274CA881F47414 │
|
||||
│ aes-256-gcm │ A44FD73ACEB1A64BDE2D03808A2576EDBB60764CC6982DB9AF2C33C893D91B00C60DC5 │
|
||||
└─────────────┴────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Example with `-gcm` mode and with `aad`:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-192-gcm' AS mode, hex(encrypt(mode, input, key24, iv, 'AAD')) FROM encryption_test;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─hex(encrypt('aes-192-gcm', input, key24, iv, 'AAD'))───────────────────┐
|
||||
│ aes-192-gcm │ 04C13E4B1D62481ED22B3644595CB5DB │
|
||||
│ aes-192-gcm │ 9A6CF0FD2B329B04EAD18301818F016DF8F77447 │
|
||||
│ aes-192-gcm │ B961E9FD9B940EBAD7ADDA75C9F198A40797A5EA1722D542890CC976E21113BBB8A7AA │
|
||||
└─────────────┴────────────────────────────────────────────────────────────────────────┘
|
||||
┌─comment──────────────┬─hex(secret)──────────────────────────────────┐
|
||||
│ aes-256-gcm │ A8A3CCBC6426CFEEB60E4EAE03D3E94204C1B09E0254 │
|
||||
│ aes-256-gcm with AAD │ A8A3CCBC6426D9A1017A0A932322F1852260A4AD6837 │
|
||||
└──────────────────────┴──────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## aes_encrypt_mysql {#aes_encrypt_mysql}
|
||||
|
||||
Compatible with mysql encryption and can be decrypted with [AES_DECRYPT](https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_aes-decrypt) function.
|
||||
Compatible with mysql encryption and resulting ciphertext can be decrypted with [AES_DECRYPT](https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_aes-decrypt) function.
|
||||
|
||||
Will produce same ciphertext as `encrypt` on equal inputs. But when `key` or `iv` are longer than they should normally be, `aes_encrypt_mysql` will stick to what MySQL's `aes_encrypt` does: 'fold' `key` and ignore excess bits of `IV`.
|
||||
|
||||
Supported encryption modes:
|
||||
|
||||
@ -156,7 +123,7 @@ Supported encryption modes:
|
||||
|
||||
**Syntax**
|
||||
|
||||
```sql
|
||||
``` sql
|
||||
aes_encrypt_mysql('mode', 'plaintext', 'key' [, iv])
|
||||
```
|
||||
|
||||
@ -164,78 +131,98 @@ aes_encrypt_mysql('mode', 'plaintext', 'key' [, iv])
|
||||
|
||||
- `mode` — Encryption mode. [String](../../sql-reference/data-types/string.md#string).
|
||||
- `plaintext` — Text that needs to be encrypted. [String](../../sql-reference/data-types/string.md#string).
|
||||
- `key` — Encryption key. [String](../../sql-reference/data-types/string.md#string).
|
||||
- `iv` — Initialization vector. Optinal. [String](../../sql-reference/data-types/string.md#string).
|
||||
- `key` — Encryption key. If key is longer than required by mode, MySQL-specific key folding is performed. [String](../../sql-reference/data-types/string.md#string).
|
||||
- `iv` — Initialization vector. Optinal, only first 16 bytes are taken into account [String](../../sql-reference/data-types/string.md#string).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Ciphered String. [String](../../sql-reference/data-types/string.md#string).
|
||||
- Ciphertext binary string. [String](../../sql-reference/data-types/string.md#string).
|
||||
|
||||
|
||||
**Examples**
|
||||
|
||||
Create this table:
|
||||
Given equal input `encrypt` and `aes_encrypt_mysql` produce the same ciphertext:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE encryption_test
|
||||
(
|
||||
input String,
|
||||
key String DEFAULT unhex('fb9958e2e897ef3fdb49067b51a24af645b3626eed2f9ea1dc7fd4dd71b7e38f9a68db2a3184f952382c783785f9d77bf923577108a88adaacae5c141b1576b0'),
|
||||
iv String DEFAULT unhex('8CA3554377DFF8A369BC50A89780DD85'),
|
||||
key32 String DEFAULT substring(key, 1, 32),
|
||||
key24 String DEFAULT substring(key, 1, 24),
|
||||
key16 String DEFAULT substring(key, 1, 16)
|
||||
) Engine = Memory;
|
||||
SELECT encrypt('aes-256-cfb128', 'Secret', '12345678910121314151617181920212', 'iviviviviviviviv') = aes_encrypt_mysql('aes-256-cfb128', 'Secret', '12345678910121314151617181920212', 'iviviviviviviviv') AS ciphertexts_equal;
|
||||
```
|
||||
|
||||
Insert this data:
|
||||
Result:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
INSERT INTO encryption_test (input) VALUES (''), ('text'), ('What Is ClickHouse?');
|
||||
```
|
||||
┌─ciphertexts_equal─┐
|
||||
│ 1 │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
Example without `iv`:
|
||||
|
||||
But `encrypt` fails when `key` or `iv` is longer than expected:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-128-cbc' AS mode, hex(aes_encrypt_mysql(mode, input, key32)) FROM encryption_test;
|
||||
SELECT encrypt('aes-256-cfb128', 'Secret', '123456789101213141516171819202122', 'iviviviviviviviv123');
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─hex(aes_encrypt_mysql('aes-128-cbc', input, key32))──────────────┐
|
||||
│ aes-128-cbc │ FEA8CFDE6EE2C6E7A2CC6ADDC9F62C83 │
|
||||
│ aes-128-cbc │ 78B16CD4BE107660156124C5FEE6454A │
|
||||
│ aes-128-cbc │ 67C0B119D96F18E2823968D42871B3D179221B1E7EE642D628341C2B29BA2E18 │
|
||||
└─────────────┴──────────────────────────────────────────────────────────────────┘
|
||||
Received exception from server (version 21.1.2):
|
||||
Code: 36. DB::Exception: Received from localhost:9000. DB::Exception: Invalid key size: 33 expected 32: While processing encrypt('aes-256-cfb128', 'Secret', '123456789101213141516171819202122', 'iviviviviviviviv123').
|
||||
```
|
||||
|
||||
Example with `iv`:
|
||||
While `aes_encrypt_mysql` produces MySQL-compatitalbe output:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-256-cfb128' AS mode, hex(aes_encrypt_mysql(mode, input, key32, iv)) FROM encryption_test;
|
||||
SELECT hex(aes_encrypt_mysql('aes-256-cfb128', 'Secret', '123456789101213141516171819202122', 'iviviviviviviviv123')) AS ciphertext;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```text
|
||||
┌─ciphertext───┐
|
||||
│ 24E9E4966469 │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
Notice how supplying even longer `IV` produces the same result
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT hex(aes_encrypt_mysql('aes-256-cfb128', 'Secret', '123456789101213141516171819202122', 'iviviviviviviviv123456')) AS ciphertext
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode───────────┬─hex(aes_encrypt_mysql('aes-256-cfb128', input, key32, iv))─┐
|
||||
│ aes-256-cfb128 │ │
|
||||
│ aes-256-cfb128 │ 7FB039F7 │
|
||||
│ aes-256-cfb128 │ 5CBD20F7ABD3AC41FCAA1A5C0E119E2BB5174F │
|
||||
└────────────────┴────────────────────────────────────────────────────────────┘
|
||||
┌─ciphertext───┐
|
||||
│ 24E9E4966469 │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
Which is binary equal to what MySQL produces on same inputs:
|
||||
|
||||
``` sql
|
||||
mysql> SET block_encryption_mode='aes-256-cfb128';
|
||||
Query OK, 0 rows affected (0.00 sec)
|
||||
|
||||
mysql> SELECT aes_encrypt('Secret', '123456789101213141516171819202122', 'iviviviviviviviv123456') as ciphertext;
|
||||
+------------------------+
|
||||
| ciphertext |
|
||||
+------------------------+
|
||||
| 0x24E9E4966469 |
|
||||
+------------------------+
|
||||
1 row in set (0.00 sec)
|
||||
```
|
||||
|
||||
## decrypt {#decrypt}
|
||||
|
||||
This function decrypts data using these modes:
|
||||
This function decrypts ciphertext into a plaintext using these modes:
|
||||
|
||||
- aes-128-ecb, aes-192-ecb, aes-256-ecb
|
||||
- aes-128-cbc, aes-192-cbc, aes-256-cbc
|
||||
@ -247,7 +234,7 @@ This function decrypts data using these modes:
|
||||
|
||||
**Syntax**
|
||||
|
||||
```sql
|
||||
``` sql
|
||||
decrypt('mode', 'ciphertext', 'key' [, iv, aad])
|
||||
```
|
||||
|
||||
@ -265,51 +252,56 @@ decrypt('mode', 'ciphertext', 'key' [, iv, aad])
|
||||
|
||||
**Examples**
|
||||
|
||||
Create this table:
|
||||
Re-using table from [encrypt](./encryption-functions.md#encrypt).
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE encryption_test
|
||||
(
|
||||
input String,
|
||||
key String DEFAULT unhex('fb9958e2e897ef3fdb49067b51a24af645b3626eed2f9ea1dc7fd4dd71b7e38f9a68db2a3184f952382c783785f9d77bf923577108a88adaacae5c141b1576b0'),
|
||||
iv String DEFAULT unhex('8CA3554377DFF8A369BC50A89780DD85'),
|
||||
key32 String DEFAULT substring(key, 1, 32),
|
||||
key24 String DEFAULT substring(key, 1, 24),
|
||||
key16 String DEFAULT substring(key, 1, 16)
|
||||
) Engine = Memory;
|
||||
```
|
||||
|
||||
Insert this data:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
INSERT INTO encryption_test (input) VALUES (''), ('text'), ('What Is ClickHouse?');
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
|
||||
SELECT 'aes-128-ecb' AS mode, decrypt(mode, encrypt(mode, input, key16), key16) FROM encryption_test;
|
||||
SELECT comment, hex(secret) FROM encryption_test;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```text
|
||||
┌─mode────────┬─decrypt('aes-128-ecb', encrypt('aes-128-ecb', input, key16), key16)─┐
|
||||
│ aes-128-ecb │ │
|
||||
│ aes-128-ecb │ text │
|
||||
│ aes-128-ecb │ What Is ClickHouse? │
|
||||
└─────────────┴─────────────────────────────────────────────────────────────────────┘
|
||||
``` text
|
||||
┌─comment──────────────┬─hex(secret)──────────────────────────────────┐
|
||||
│ aes-256-gcm │ A8A3CCBC6426CFEEB60E4EAE03D3E94204C1B09E0254 │
|
||||
│ aes-256-gcm with AAD │ A8A3CCBC6426D9A1017A0A932322F1852260A4AD6837 │
|
||||
└──────────────────────┴──────────────────────────────────────────────┘
|
||||
┌─comment─────────────────────────────┬─hex(secret)──────────────────────┐
|
||||
│ aes-256-cfb128 no IV │ B4972BDC4459 │
|
||||
│ aes-256-cfb128 no IV, different key │ 2FF57C092DC9 │
|
||||
│ aes-256-cfb128 with IV │ 5E6CB398F653 │
|
||||
│ aes-256-cbc no IV │ 1BC0629A92450D9E73A00E7D02CF4142 │
|
||||
└─────────────────────────────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
Now let's try to decrypt all that data.
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT comment, decrypt('aes-256-cfb128', secret, '12345678910121314151617181920212') as plaintext FROM encryption_test
|
||||
```
|
||||
|
||||
Result:
|
||||
``` text
|
||||
┌─comment─────────────────────────────┬─plaintext─┐
|
||||
│ aes-256-cfb128 no IV │ Secret │
|
||||
│ aes-256-cfb128 no IV, different key │ <20>4<EFBFBD>
|
||||
<20> │
|
||||
│ aes-256-cfb128 with IV │ <20><><EFBFBD>6<EFBFBD>~ │
|
||||
│aes-256-cbc no IV │ <20>2*4<>h3c<33>4w<34><77>@
|
||||
└─────────────────────────────────────┴───────────┘
|
||||
```
|
||||
|
||||
Notice how only portion of the data was properly decrypted, and the rest is gibberish since either `mode`, `key`, or `iv` were different upon encryption.
|
||||
|
||||
## aes_decrypt_mysql {#aes_decrypt_mysql}
|
||||
|
||||
Compatible with mysql encryption and decrypts data encrypted with [AES_ENCRYPT](https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_aes-encrypt) function.
|
||||
|
||||
Will produce same plaintext as `decrypt` on equal inputs. But when `key` or `iv` are longer than they should normally be, `aes_decrypt_mysql` will stick to what MySQL's `aes_decrypt` does: 'fold' `key` and ignore excess bits of `IV`.
|
||||
|
||||
Supported decryption modes:
|
||||
|
||||
- aes-128-ecb, aes-192-ecb, aes-256-ecb
|
||||
@ -321,7 +313,7 @@ Supported decryption modes:
|
||||
|
||||
**Syntax**
|
||||
|
||||
```sql
|
||||
``` sql
|
||||
aes_decrypt_mysql('mode', 'ciphertext', 'key' [, iv])
|
||||
```
|
||||
|
||||
@ -338,44 +330,30 @@ aes_decrypt_mysql('mode', 'ciphertext', 'key' [, iv])
|
||||
|
||||
**Examples**
|
||||
|
||||
Create this table:
|
||||
|
||||
Query:
|
||||
|
||||
Let's decrypt data we've previously encrypted with MySQL:
|
||||
``` sql
|
||||
CREATE TABLE encryption_test
|
||||
(
|
||||
input String,
|
||||
key String DEFAULT unhex('fb9958e2e897ef3fdb49067b51a24af645b3626eed2f9ea1dc7fd4dd71b7e38f9a68db2a3184f952382c783785f9d77bf923577108a88adaacae5c141b1576b0'),
|
||||
iv String DEFAULT unhex('8CA3554377DFF8A369BC50A89780DD85'),
|
||||
key32 String DEFAULT substring(key, 1, 32),
|
||||
key24 String DEFAULT substring(key, 1, 24),
|
||||
key16 String DEFAULT substring(key, 1, 16)
|
||||
) Engine = Memory;
|
||||
```
|
||||
mysql> SET block_encryption_mode='aes-256-cfb128';
|
||||
Query OK, 0 rows affected (0.00 sec)
|
||||
|
||||
Insert this data:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
INSERT INTO encryption_test (input) VALUES (''), ('text'), ('What Is ClickHouse?');
|
||||
mysql> SELECT aes_encrypt('Secret', '123456789101213141516171819202122', 'iviviviviviviviv123456') as ciphertext;
|
||||
+------------------------+
|
||||
| ciphertext |
|
||||
+------------------------+
|
||||
| 0x24E9E4966469 |
|
||||
+------------------------+
|
||||
1 row in set (0.00 sec)
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT 'aes-128-cbc' AS mode, aes_decrypt_mysql(mode, aes_encrypt_mysql(mode, input, key), key) FROM encryption_test;
|
||||
SELECT aes_decrypt_mysql('aes-256-cfb128', unhex('24E9E4966469'), '123456789101213141516171819202122', 'iviviviviviviviv123456') AS plaintext
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─mode────────┬─aes_decrypt_mysql('aes-128-cbc', aes_encrypt_mysql('aes-128-cbc', input, key), key)─┐
|
||||
│ aes-128-cbc │ │
|
||||
│ aes-128-cbc │ text │
|
||||
│ aes-128-cbc │ What Is ClickHouse? │
|
||||
└─────────────┴─────────────────────────────────────────────────────────────────────────────────────┘
|
||||
┌─plaintext─┐
|
||||
│ Secret │
|
||||
└───────────┘
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/functions/encryption_functions/) <!--hide-->
|
||||
|
||||
@ -115,9 +115,20 @@ LIMIT 10
|
||||
|
||||
## IPv6StringToNum(s) {#ipv6stringtonums}
|
||||
|
||||
The reverse function of IPv6NumToString. If the IPv6 address has an invalid format, it returns a string of null bytes.
|
||||
The reverse function of IPv6NumToString. If the IPv6 address has an invalid format, it returns a string of null bytes.
|
||||
If the IP address is a valid IPv4 address then the IPv6 equivalent of the IPv4 address is returned.
|
||||
HEX can be uppercase or lowercase.
|
||||
|
||||
``` sql
|
||||
SELECT cutIPv6(IPv6StringToNum('127.0.0.1'), 0, 0);
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─cutIPv6(IPv6StringToNum('127.0.0.1'), 0, 0)─┐
|
||||
│ ::ffff:127.0.0.1 │
|
||||
└─────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## IPv4ToIPv6(x) {#ipv4toipv6x}
|
||||
|
||||
Takes a `UInt32` number. Interprets it as an IPv4 address in [big endian](https://en.wikipedia.org/wiki/Endianness). Returns a `FixedString(16)` value containing the IPv6 address in binary format. Examples:
|
||||
@ -214,6 +225,7 @@ SELECT
|
||||
## toIPv6(string) {#toipv6string}
|
||||
|
||||
An alias to `IPv6StringToNum()` that takes a string form of IPv6 address and returns value of [IPv6](../../sql-reference/data-types/domains/ipv6.md) type, which is binary equal to value returned by `IPv6StringToNum()`.
|
||||
If the IP address is a valid IPv4 address then the IPv6 equivalent of the IPv4 address is returned.
|
||||
|
||||
``` sql
|
||||
WITH
|
||||
@ -243,4 +255,42 @@ SELECT
|
||||
└───────────────────────────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT toIPv6('127.0.0.1')
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─toIPv6('127.0.0.1')─┐
|
||||
│ ::ffff:127.0.0.1 │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
## isIPv4String
|
||||
|
||||
Determines if the input string is an IPv4 address or not. Returns `1` if true `0` otherwise.
|
||||
|
||||
``` sql
|
||||
SELECT isIPv4String('127.0.0.1')
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─isIPv4String('127.0.0.1')─┐
|
||||
│ 1 │
|
||||
└───────────────────────────┘
|
||||
```
|
||||
|
||||
## isIPv6String
|
||||
|
||||
Determines if the input string is an IPv6 address or not. Returns `1` if true `0` otherwise.
|
||||
|
||||
``` sql
|
||||
SELECT isIPv6String('2001:438:ffff::407d:1bc1')
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─isIPv6String('2001:438:ffff::407d:1bc1')─┐
|
||||
│ 1 │
|
||||
└──────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/functions/ip_address_functions/) <!--hide-->
|
||||
|
||||
@ -413,4 +413,68 @@ Result:
|
||||
|
||||
- [log(x)](../../sql-reference/functions/math-functions.md#logx-lnx)
|
||||
|
||||
## sign(x) {#signx}
|
||||
|
||||
The `sign` function can extract the sign of a real number.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
sign(x)
|
||||
```
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `x` — Values from `-∞` to `+∞`. Support all numeric types in ClickHouse.
|
||||
|
||||
**Returned value**
|
||||
|
||||
- -1 for `x < 0`
|
||||
- 0 for `x = 0`
|
||||
- 1 for `x > 0`
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT sign(0);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─sign(0)─┐
|
||||
│ 0 │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT sign(1);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─sign(1)─┐
|
||||
│ 1 │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT sign(-1);
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─sign(-1)─┐
|
||||
│ -1 │
|
||||
└──────────┘
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/functions/math_functions/) <!--hide-->
|
||||
|
||||
@ -1468,7 +1468,7 @@ Code: 395. DB::Exception: Received from localhost:9000. DB::Exception: Too many.
|
||||
|
||||
## identity {#identity}
|
||||
|
||||
Returns the same value that was used as its argument. Used for debugging and testing, allows to cancel using index, and get the query performance of a full scan. When query is analyzed for possible use of index, the analyzer doesn’t look inside `identity` functions.
|
||||
Returns the same value that was used as its argument. Used for debugging and testing, allows to cancel using index, and get the query performance of a full scan. When query is analyzed for possible use of index, the analyzer doesn’t look inside `identity` functions. Also constant folding is not applied too.
|
||||
|
||||
**Syntax**
|
||||
|
||||
|
||||
@ -574,7 +574,7 @@ encodeXMLComponent(x)
|
||||
|
||||
- `x` — The sequence of characters. [String](../../sql-reference/data-types/string.md).
|
||||
|
||||
**Returned value(s)**
|
||||
**Returned value**
|
||||
|
||||
- The sequence of characters with escape characters.
|
||||
|
||||
|
||||
@ -303,9 +303,30 @@ SELECT toFixedString('foo\0bar', 8) AS s, toStringCutToZero(s) AS s_cut
|
||||
└────────────┴───────┘
|
||||
```
|
||||
|
||||
## reinterpretAsUInt(8\|16\|32\|64) {#reinterpretasuint8163264}
|
||||
## reinterpretAs(x, T) {#type_conversion_function-cast}
|
||||
|
||||
## reinterpretAsInt(8\|16\|32\|64) {#reinterpretasint8163264}
|
||||
Performs byte reinterpretation of ‘x’ as ‘t’ data type.
|
||||
|
||||
Following reinterpretations are allowed:
|
||||
1. Any type that has fixed size and value of that type can be represented continuously into FixedString.
|
||||
2. Any type that if value of that type can be represented continuously into String. Null bytes are dropped from the end. For example, a UInt32 type value of 255 is a string that is one byte long.
|
||||
3. FixedString, String, types that can be interpreted as numeric (Integers, Float, Date, DateTime, UUID) into types that can be interpreted as numeric (Integers, Float, Date, DateTime, UUID) into FixedString,
|
||||
|
||||
``` sql
|
||||
SELECT reinterpretAs(toInt8(-1), 'UInt8') as int_to_uint,
|
||||
reinterpretAs(toInt8(1), 'Float32') as int_to_float,
|
||||
reinterpretAs('1', 'UInt32') as string_to_int;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─int_to_uint─┬─int_to_float─┬─string_to_int─┐
|
||||
│ 255 │ 1e-45 │ 49 │
|
||||
└─────────────┴──────────────┴───────────────┘
|
||||
```
|
||||
|
||||
## reinterpretAsUInt(8\|16\|32\|64\|256) {#reinterpretasuint8163264256}
|
||||
|
||||
## reinterpretAsInt(8\|16\|32\|64\|128\|256) {#reinterpretasint8163264128256}
|
||||
|
||||
## reinterpretAsFloat(32\|64) {#reinterpretasfloat3264}
|
||||
|
||||
@ -313,71 +334,13 @@ SELECT toFixedString('foo\0bar', 8) AS s, toStringCutToZero(s) AS s_cut
|
||||
|
||||
## reinterpretAsDateTime {#reinterpretasdatetime}
|
||||
|
||||
These functions accept a string and interpret the bytes placed at the beginning of the string as a number in host order (little endian). If the string isn’t long enough, the functions work as if the string is padded with the necessary number of null bytes. If the string is longer than needed, the extra bytes are ignored. A date is interpreted as the number of days since the beginning of the Unix Epoch, and a date with time is interpreted as the number of seconds since the beginning of the Unix Epoch.
|
||||
|
||||
## reinterpretAsString {#type_conversion_functions-reinterpretAsString}
|
||||
|
||||
This function accepts a number or date or date with time, and returns a string containing bytes representing the corresponding value in host order (little endian). Null bytes are dropped from the end. For example, a UInt32 type value of 255 is a string that is one byte long.
|
||||
|
||||
## reinterpretAsFixedString {#reinterpretasfixedstring}
|
||||
|
||||
This function accepts a number or date or date with time, and returns a FixedString containing bytes representing the corresponding value in host order (little endian). Null bytes are dropped from the end. For example, a UInt32 type value of 255 is a FixedString that is one byte long.
|
||||
|
||||
## reinterpretAsUUID {#reinterpretasuuid}
|
||||
|
||||
This function accepts 16 bytes string, and returns UUID containing bytes representing the corresponding value in network byte order (big-endian). If the string isn't long enough, the functions work as if the string is padded with the necessary number of null bytes to the end. If the string longer than 16 bytes, the extra bytes at the end are ignored.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
reinterpretAsUUID(fixed_string)
|
||||
```
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `fixed_string` — Big-endian byte string. [FixedString](../../sql-reference/data-types/fixedstring.md#fixedstring).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The UUID type value. [UUID](../../sql-reference/data-types/uuid.md#uuid-data-type).
|
||||
|
||||
**Examples**
|
||||
|
||||
String to UUID.
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT reinterpretAsUUID(reverse(unhex('000102030405060708090a0b0c0d0e0f')))
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─reinterpretAsUUID(reverse(unhex('000102030405060708090a0b0c0d0e0f')))─┐
|
||||
│ 08090a0b-0c0d-0e0f-0001-020304050607 │
|
||||
└───────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Going back and forth from String to UUID.
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
WITH
|
||||
generateUUIDv4() AS uuid,
|
||||
identity(lower(hex(reverse(reinterpretAsString(uuid))))) AS str,
|
||||
reinterpretAsUUID(reverse(unhex(str))) AS uuid2
|
||||
SELECT uuid = uuid2;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
┌─equals(uuid, uuid2)─┐
|
||||
│ 1 │
|
||||
└─────────────────────┘
|
||||
```
|
||||
These functions are aliases for `reinterpretAs`function.
|
||||
|
||||
## CAST(x, T) {#type_conversion_function-cast}
|
||||
|
||||
|
||||
@ -5,16 +5,35 @@ toc_title: QUOTA
|
||||
|
||||
# ALTER QUOTA {#alter-quota-statement}
|
||||
|
||||
Changes quotas.
|
||||
Changes [quotas](../../../operations/access-rights.md#quotas-management).
|
||||
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER QUOTA [IF EXISTS] name [ON CLUSTER cluster_name]
|
||||
[RENAME TO new_name]
|
||||
[KEYED BY {'none' | 'user name' | 'ip address' | 'client key' | 'client key or user name' | 'client key or ip address'}]
|
||||
[FOR [RANDOMIZED] INTERVAL number {SECOND | MINUTE | HOUR | DAY | WEEK | MONTH | QUARTER | YEAR}
|
||||
{MAX { {QUERIES | ERRORS | RESULT ROWS | RESULT BYTES | READ ROWS | READ BYTES | EXECUTION TIME} = number } [,...] |
|
||||
[KEYED BY {user_name | ip_address | client_key | client_key,user_name | client_key,ip_address} | NOT KEYED]
|
||||
[FOR [RANDOMIZED] INTERVAL number {second | minute | hour | day | week | month | quarter | year}
|
||||
{MAX { {queries | errors | result_rows | result_bytes | read_rows | read_bytes | execution_time} = number } [,...] |
|
||||
NO LIMITS | TRACKING ONLY} [,...]]
|
||||
[TO {role [,...] | ALL | ALL EXCEPT role [,...]}]
|
||||
```
|
||||
Keys `user_name`, `ip_address`, `client_key`, `client_key, user_name` and `client_key, ip_address` correspond to the fields in the [system.quotas](../../../operations/system-tables/quotas.md) table.
|
||||
|
||||
Parameters `queries`, `errors`, `result_rows`, `result_bytes`, `read_rows`, `read_bytes`, `execution_time` correspond to the fields in the [system.quotas_usage](../../../operations/system-tables/quotas_usage.md) table.
|
||||
|
||||
`ON CLUSTER` clause allows creating quotas on a cluster, see [Distributed DDL](../../../sql-reference/distributed-ddl.md).
|
||||
|
||||
**Examples**
|
||||
|
||||
Limit the maximum number of queries for the current user with 123 queries in 15 months constraint:
|
||||
|
||||
``` sql
|
||||
ALTER QUOTA IF EXISTS qA FOR INTERVAL 15 month MAX queries = 123 TO CURRENT_USER;
|
||||
```
|
||||
|
||||
For the default user limit the maximum execution time with half a second in 30 minutes, and limit the maximum number of queries with 321 and the maximum number of errors with 10 in 5 quaters:
|
||||
|
||||
``` sql
|
||||
ALTER QUOTA IF EXISTS qB FOR INTERVAL 30 minute MAX execution_time = 0.5, FOR INTERVAL 5 quarter MAX queries = 321, errors = 10 TO default;
|
||||
```
|
||||
|
||||
@ -10,7 +10,7 @@ Changes roles.
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER ROLE [IF EXISTS] name [ON CLUSTER cluster_name]
|
||||
[RENAME TO new_name]
|
||||
ALTER ROLE [IF EXISTS] name1 [ON CLUSTER cluster_name1] [RENAME TO new_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] [RENAME TO new_name2] ...]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | PROFILE 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
@ -10,8 +10,8 @@ Changes row policy.
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER [ROW] POLICY [IF EXISTS] name [ON CLUSTER cluster_name] ON [database.]table
|
||||
[RENAME TO new_name]
|
||||
ALTER [ROW] POLICY [IF EXISTS] name1 [ON CLUSTER cluster_name1] ON [database1.]table1 [RENAME TO new_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] ON [database2.]table2 [RENAME TO new_name2] ...]
|
||||
[AS {PERMISSIVE | RESTRICTIVE}]
|
||||
[FOR SELECT]
|
||||
[USING {condition | NONE}][,...]
|
||||
|
||||
@ -10,7 +10,7 @@ Changes settings profiles.
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER SETTINGS PROFILE [IF EXISTS] TO name [ON CLUSTER cluster_name]
|
||||
[RENAME TO new_name]
|
||||
ALTER SETTINGS PROFILE [IF EXISTS] TO name1 [ON CLUSTER cluster_name1] [RENAME TO new_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] [RENAME TO new_name2] ...]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | INHERIT 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
@ -10,8 +10,8 @@ Changes ClickHouse user accounts.
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER USER [IF EXISTS] name [ON CLUSTER cluster_name]
|
||||
[RENAME TO new_name]
|
||||
ALTER USER [IF EXISTS] name1 [ON CLUSTER cluster_name1] [RENAME TO new_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] [RENAME TO new_name2] ...]
|
||||
[IDENTIFIED [WITH {PLAINTEXT_PASSWORD|SHA256_PASSWORD|DOUBLE_SHA1_PASSWORD}] BY {'password'|'hash'}]
|
||||
[[ADD|DROP] HOST {LOCAL | NAME 'name' | REGEXP 'name_regexp' | IP 'address' | LIKE 'pattern'} [,...] | ANY | NONE]
|
||||
[DEFAULT ROLE role [,...] | ALL | ALL EXCEPT role [,...] ]
|
||||
|
||||
@ -11,19 +11,29 @@ Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE QUOTA [IF NOT EXISTS | OR REPLACE] name [ON CLUSTER cluster_name]
|
||||
[KEYED BY {'none' | 'user name' | 'ip address' | 'forwarded ip address' | 'client key' | 'client key or user name' | 'client key or ip address'}]
|
||||
[FOR [RANDOMIZED] INTERVAL number {SECOND | MINUTE | HOUR | DAY | WEEK | MONTH | QUARTER | YEAR}
|
||||
{MAX { {QUERIES | ERRORS | RESULT ROWS | RESULT BYTES | READ ROWS | READ BYTES | EXECUTION TIME} = number } [,...] |
|
||||
[KEYED BY {user_name | ip_address | client_key | client_key,user_name | client_key,ip_address} | NOT KEYED]
|
||||
[FOR [RANDOMIZED] INTERVAL number {second | minute | hour | day | week | month | quarter | year}
|
||||
{MAX { {queries | errors | result_rows | result_bytes | read_rows | read_bytes | execution_time} = number } [,...] |
|
||||
NO LIMITS | TRACKING ONLY} [,...]]
|
||||
[TO {role [,...] | ALL | ALL EXCEPT role [,...]}]
|
||||
```
|
||||
|
||||
Keys `user_name`, `ip_address`, `client_key`, `client_key, user_name` and `client_key, ip_address` correspond to the fields in the [system.quotas](../../../operations/system-tables/quotas.md) table.
|
||||
|
||||
Parameters `queries`, `errors`, `result_rows`, `result_bytes`, `read_rows`, `read_bytes`, `execution_time` correspond to the fields in the [system.quotas_usage](../../../operations/system-tables/quotas_usage.md) table.
|
||||
|
||||
`ON CLUSTER` clause allows creating quotas on a cluster, see [Distributed DDL](../../../sql-reference/distributed-ddl.md).
|
||||
|
||||
## Example {#create-quota-example}
|
||||
**Examples**
|
||||
|
||||
Limit the maximum number of queries for the current user with 123 queries in 15 months constraint:
|
||||
|
||||
``` sql
|
||||
CREATE QUOTA qA FOR INTERVAL 15 MONTH MAX QUERIES 123 TO CURRENT_USER
|
||||
CREATE QUOTA qA FOR INTERVAL 15 month MAX queries = 123 TO CURRENT_USER;
|
||||
```
|
||||
|
||||
For the default user limit the maximum execution time with half a second in 30 minutes, and limit the maximum number of queries with 321 and the maximum number of errors with 10 in 5 quaters:
|
||||
|
||||
``` sql
|
||||
CREATE QUOTA qB FOR INTERVAL 30 minute MAX execution_time = 0.5, FOR INTERVAL 5 quarter MAX queries = 321, errors = 10 TO default;
|
||||
```
|
||||
|
||||
@ -5,12 +5,12 @@ toc_title: ROLE
|
||||
|
||||
# CREATE ROLE {#create-role-statement}
|
||||
|
||||
Creates a new [role](../../../operations/access-rights.md#role-management). Role is a set of [privileges](../../../sql-reference/statements/grant.md#grant-privileges). A [user](../../../sql-reference/statements/create/user.md) assigned a role gets all the privileges of this role.
|
||||
Creates new [roles](../../../operations/access-rights.md#role-management). Role is a set of [privileges](../../../sql-reference/statements/grant.md#grant-privileges). A [user](../../../sql-reference/statements/create/user.md) assigned a role gets all the privileges of this role.
|
||||
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE ROLE [IF NOT EXISTS | OR REPLACE] name
|
||||
CREATE ROLE [IF NOT EXISTS | OR REPLACE] name1 [, name2 ...]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | PROFILE 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
|
||||
@ -5,16 +5,17 @@ toc_title: ROW POLICY
|
||||
|
||||
# CREATE ROW POLICY {#create-row-policy-statement}
|
||||
|
||||
Creates a [filter for rows](../../../operations/access-rights.md#row-policy-management), which a user can read from a table.
|
||||
Creates [filters for rows](../../../operations/access-rights.md#row-policy-management), which a user can read from a table.
|
||||
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE [ROW] POLICY [IF NOT EXISTS | OR REPLACE] policy_name [ON CLUSTER cluster_name] ON [db.]table
|
||||
CREATE [ROW] POLICY [IF NOT EXISTS | OR REPLACE] policy_name1 [ON CLUSTER cluster_name1] ON [db1.]table1
|
||||
[, policy_name2 [ON CLUSTER cluster_name2] ON [db2.]table2 ...]
|
||||
[AS {PERMISSIVE | RESTRICTIVE}]
|
||||
[FOR SELECT]
|
||||
[USING condition]
|
||||
[TO {role [,...] | ALL | ALL EXCEPT role [,...]}]
|
||||
[TO {role1 [, role2 ...] | ALL | ALL EXCEPT role1 [, role2 ...]}]
|
||||
```
|
||||
|
||||
`ON CLUSTER` clause allows creating row policies on a cluster, see [Distributed DDL](../../../sql-reference/distributed-ddl.md).
|
||||
|
||||
@ -5,12 +5,13 @@ toc_title: SETTINGS PROFILE
|
||||
|
||||
# CREATE SETTINGS PROFILE {#create-settings-profile-statement}
|
||||
|
||||
Creates a [settings profile](../../../operations/access-rights.md#settings-profiles-management) that can be assigned to a user or a role.
|
||||
Creates [settings profiles](../../../operations/access-rights.md#settings-profiles-management) that can be assigned to a user or a role.
|
||||
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE SETTINGS PROFILE [IF NOT EXISTS | OR REPLACE] TO name [ON CLUSTER cluster_name]
|
||||
CREATE SETTINGS PROFILE [IF NOT EXISTS | OR REPLACE] TO name1 [ON CLUSTER cluster_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] ...]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | INHERIT 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
|
||||
@ -23,7 +23,7 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
```
|
||||
|
||||
Creates a table named `name` in the `db` database or the current database if `db` is not set, with the structure specified in brackets and the `engine` engine.
|
||||
The structure of the table is a list of column descriptions, secondary indexes and constraints . If primary key is supported by the engine, it will be indicated as parameter for the table engine.
|
||||
The structure of the table is a list of column descriptions, secondary indexes and constraints . If [primary key](#primary-key) is supported by the engine, it will be indicated as parameter for the table engine.
|
||||
|
||||
A column description is `name type` in the simplest case. Example: `RegionID UInt32`.
|
||||
|
||||
@ -39,13 +39,13 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name AS [db2.]name2 [ENGINE = engine]
|
||||
|
||||
Creates a table with the same structure as another table. You can specify a different engine for the table. If the engine is not specified, the same engine will be used as for the `db2.name2` table.
|
||||
|
||||
## From a Table Function {#from-a-table-function}
|
||||
### From a Table Function {#from-a-table-function}
|
||||
|
||||
``` sql
|
||||
CREATE TABLE [IF NOT EXISTS] [db.]table_name AS table_function()
|
||||
```
|
||||
|
||||
Creates a table with the structure and data returned by a [table function](../../../sql-reference/table-functions/index.md#table-functions).
|
||||
Creates a table with the same result as that of the [table function](../../../sql-reference/table-functions/index.md#table-functions) specified. The created table will also work in the same way as the corresponding table function that was specified.
|
||||
|
||||
``` sql
|
||||
CREATE TABLE [IF NOT EXISTS] [db.]table_name ENGINE = engine AS SELECT ...
|
||||
@ -111,7 +111,7 @@ It is not possible to set default values for elements in nested data structures.
|
||||
|
||||
You can define a [primary key](../../../engines/table-engines/mergetree-family/mergetree.md#primary-keys-and-indexes-in-queries) when creating a table. Primary key can be specified in two ways:
|
||||
|
||||
- inside the column list
|
||||
- Inside the column list
|
||||
|
||||
``` sql
|
||||
CREATE TABLE db.table_name
|
||||
@ -122,7 +122,7 @@ CREATE TABLE db.table_name
|
||||
ENGINE = engine;
|
||||
```
|
||||
|
||||
- outside the column list
|
||||
- Outside the column list
|
||||
|
||||
``` sql
|
||||
CREATE TABLE db.table_name
|
||||
@ -133,7 +133,8 @@ ENGINE = engine
|
||||
PRIMARY KEY(expr1[, expr2,...]);
|
||||
```
|
||||
|
||||
You can't combine both ways in one query.
|
||||
!!! warning "Warning"
|
||||
You can't combine both ways in one query.
|
||||
|
||||
## Constraints {#constraints}
|
||||
|
||||
@ -259,3 +260,78 @@ CREATE TEMPORARY TABLE [IF NOT EXISTS] table_name
|
||||
In most cases, temporary tables are not created manually, but when using external data for a query, or for distributed `(GLOBAL) IN`. For more information, see the appropriate sections
|
||||
|
||||
It’s possible to use tables with [ENGINE = Memory](../../../engines/table-engines/special/memory.md) instead of temporary tables.
|
||||
|
||||
## REPLACE TABLE {#replace-table-query}
|
||||
|
||||
'REPLACE' query allows you to update the table atomically.
|
||||
|
||||
!!!note "Note"
|
||||
This query is supported only for [Atomic](../../../engines/database-engines/atomic.md) database engine.
|
||||
|
||||
If you need to delete some data from a table, you can create a new table and fill it with a `SELECT` statement that doesn't retrieve unwanted data, then drop the old table and rename the new one:
|
||||
|
||||
```sql
|
||||
CREATE TABLE myNewTable AS myOldTable;
|
||||
INSERT INTO myNewTable SELECT * FROM myOldTable WHERE CounterID <12345;
|
||||
DROP TABLE myOldTable;
|
||||
RENAME TABLE myNewTable TO myOldTable;
|
||||
```
|
||||
|
||||
Instead of above, you can use the following:
|
||||
|
||||
```sql
|
||||
REPLACE TABLE myOldTable SELECT * FROM myOldTable WHERE CounterID <12345;
|
||||
```
|
||||
|
||||
### Syntax
|
||||
|
||||
{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.
|
||||
|
||||
### Examples:
|
||||
|
||||
Consider the table:
|
||||
|
||||
```sql
|
||||
CREATE DATABASE base ENGINE = Atomic;
|
||||
CREATE OR REPLACE TABLE base.t1 (n UInt64, s String) ENGINE = MergeTree ORDER BY n;
|
||||
INSERT INTO base.t1 VALUES (1, 'test');
|
||||
SELECT * FROM base.t1;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─n─┬─s────┐
|
||||
│ 1 │ test │
|
||||
└───┴──────┘
|
||||
```
|
||||
|
||||
Using `REPLACE` query to clear all data:
|
||||
|
||||
```sql
|
||||
CREATE OR REPLACE TABLE base.t1 (n UInt64, s Nullable(String)) ENGINE = MergeTree ORDER BY n;
|
||||
INSERT INTO base.t1 VALUES (2, null);
|
||||
SELECT * FROM base.t1;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─n─┬─s──┐
|
||||
│ 2 │ \N │
|
||||
└───┴────┘
|
||||
```
|
||||
|
||||
Using `REPLACE` query to change table structure:
|
||||
|
||||
```sql
|
||||
REPLACE TABLE base.t1 (n UInt64) ENGINE = MergeTree ORDER BY n;
|
||||
INSERT INTO base.t1 VALUES (3);
|
||||
SELECT * FROM base.t1;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─n─┐
|
||||
│ 3 │
|
||||
└───┘
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/statements/create/table) <!--hide-->
|
||||
|
||||
@ -5,12 +5,13 @@ toc_title: USER
|
||||
|
||||
# CREATE USER {#create-user-statement}
|
||||
|
||||
Creates a [user account](../../../operations/access-rights.md#user-account-management).
|
||||
Creates [user accounts](../../../operations/access-rights.md#user-account-management).
|
||||
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE USER [IF NOT EXISTS | OR REPLACE] name [ON CLUSTER cluster_name]
|
||||
CREATE USER [IF NOT EXISTS | OR REPLACE] name1 [ON CLUSTER cluster_name1]
|
||||
[, name2 [ON CLUSTER cluster_name2] ...]
|
||||
[IDENTIFIED [WITH {NO_PASSWORD|PLAINTEXT_PASSWORD|SHA256_PASSWORD|SHA256_HASH|DOUBLE_SHA1_PASSWORD|DOUBLE_SHA1_HASH}] BY {'password'|'hash'}]
|
||||
[HOST {LOCAL | NAME 'name' | REGEXP 'name_regexp' | IP 'address' | LIKE 'pattern'} [,...] | ANY | NONE]
|
||||
[DEFAULT ROLE role [,...]]
|
||||
@ -69,7 +70,7 @@ CREATE USER john DEFAULT ROLE role1, role2
|
||||
Create the user account `john` and make all his future roles default:
|
||||
|
||||
``` sql
|
||||
ALTER USER user DEFAULT ROLE ALL
|
||||
CREATE USER user DEFAULT ROLE ALL
|
||||
```
|
||||
|
||||
When some role is assigned to `john` in the future, it will become default automatically.
|
||||
@ -77,5 +78,5 @@ When some role is assigned to `john` in the future, it will become default autom
|
||||
Create the user account `john` and make all his future roles default excepting `role1` and `role2`:
|
||||
|
||||
``` sql
|
||||
ALTER USER john DEFAULT ROLE ALL EXCEPT role1, role2
|
||||
CREATE USER john DEFAULT ROLE ALL EXCEPT role1, role2
|
||||
```
|
||||
|
||||
@ -13,7 +13,7 @@ Basic query format:
|
||||
INSERT INTO [db.]table [(c1, c2, c3)] VALUES (v11, v12, v13), (v21, v22, v23), ...
|
||||
```
|
||||
|
||||
You can specify a list of columns to insert using the `(c1, c2, c3)`. You can also use an expression with column [matcher](../../sql-reference/statements/select/index.md#asterisk) such as `*` and/or [modifiers](../../sql-reference/statements/select/index.md#select-modifiers) such as [APPLY](../../sql-reference/statements/select/index.md#apply-modifier), [EXCEPT](../../sql-reference/statements/select/index.md#apply-modifier), [REPLACE](../../sql-reference/statements/select/index.md#replace-modifier).
|
||||
You can specify a list of columns to insert using the `(c1, c2, c3)`. You can also use an expression with column [matcher](../../sql-reference/statements/select/index.md#asterisk) such as `*` and/or [modifiers](../../sql-reference/statements/select/index.md#select-modifiers) such as [APPLY](../../sql-reference/statements/select/index.md#apply-modifier), [EXCEPT](../../sql-reference/statements/select/index.md#except-modifier), [REPLACE](../../sql-reference/statements/select/index.md#replace-modifier).
|
||||
|
||||
For example, consider the table:
|
||||
|
||||
@ -30,7 +30,6 @@ CREATE TABLE insert_select_testtable
|
||||
)
|
||||
ENGINE = MergeTree()
|
||||
ORDER BY a
|
||||
SETTINGS index_granularity = 8192
|
||||
```
|
||||
|
||||
``` sql
|
||||
@ -55,7 +54,7 @@ SELECT * FROM insert_select_testtable;
|
||||
│ 1 │ a │ 1 │
|
||||
└───┴───┴───┘
|
||||
```
|
||||
|
||||
|
||||
In this example, we see that the second inserted row has `a` and `c` columns filled by the passed values, and `b` filled with value by default.
|
||||
|
||||
If a list of columns doesn't include all existing columns, the rest of the columns are filled with:
|
||||
|
||||
@ -25,6 +25,8 @@ It is applicable when selecting data from tables that use the [MergeTree](../../
|
||||
- [Replicated](../../../engines/table-engines/mergetree-family/replication.md) versions of `MergeTree` engines.
|
||||
- [View](../../../engines/table-engines/special/view.md), [Buffer](../../../engines/table-engines/special/buffer.md), [Distributed](../../../engines/table-engines/special/distributed.md), and [MaterializedView](../../../engines/table-engines/special/materializedview.md) engines that operate over other engines, provided they were created over `MergeTree`-engine tables.
|
||||
|
||||
Now `SELECT` queries with `FINAL` are executed in parallel and slightly faster. But there are drawbacks (see below). The [max_final_threads](../../../operations/settings/settings.md#max-final-threads) setting limits the number of threads used.
|
||||
|
||||
### Drawbacks {#drawbacks}
|
||||
|
||||
Queries that use `FINAL` are executed slightly slower than similar queries that don’t, because:
|
||||
|
||||
@ -278,5 +278,4 @@ Other ways to make settings see [here](../../../operations/settings/index.md).
|
||||
SELECT * FROM some_table SETTINGS optimize_read_in_order=1, cast_keep_nullable=1;
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/statements/select/)
|
||||
<!--hide-->
|
||||
[Original article](https://clickhouse.tech/docs/en/sql-reference/statements/select/)<!--hide-->
|
||||
|
||||
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Reference in New Issue
Block a user