mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-22 15:42:02 +00:00
Merge remote-tracking branch 'upstream/master' into ncb/event_time_microseconds_metric_logs
This commit is contained in:
bharatnc
commit
05a80518a1
10
CHANGELOG.md
10
CHANGELOG.md
@ -22,14 +22,14 @@
|
||||
* Add setting `allow_non_metadata_alters` which restricts to execute `ALTER` queries which modify data on disk. Disabled be default. Closes [#11547](https://github.com/ClickHouse/ClickHouse/issues/11547). [#12635](https://github.com/ClickHouse/ClickHouse/pull/12635) ([alesapin](https://github.com/alesapin)).
|
||||
* A function `formatRow` is added to support turning arbitrary expressions into a string via given format. It's useful for manipulating SQL outputs and is quite versatile combined with the `columns` function. [#12574](https://github.com/ClickHouse/ClickHouse/pull/12574) ([Amos Bird](https://github.com/amosbird)).
|
||||
* Add `FROM_UNIXTIME` function for compatibility with MySQL, related to [12149](https://github.com/ClickHouse/ClickHouse/issues/12149). [#12484](https://github.com/ClickHouse/ClickHouse/pull/12484) ([flynn](https://github.com/ucasFL)).
|
||||
* Allow Nullable types as keys in MergeTree tables if `allow_nullable_key` table setting is enabled. https://github.com/ClickHouse/ClickHouse/issues/5319. [#12433](https://github.com/ClickHouse/ClickHouse/pull/12433) ([Amos Bird](https://github.com/amosbird)).
|
||||
* Allow Nullable types as keys in MergeTree tables if `allow_nullable_key` table setting is enabled. Closes [#5319](https://github.com/ClickHouse/ClickHouse/issues/5319). [#12433](https://github.com/ClickHouse/ClickHouse/pull/12433) ([Amos Bird](https://github.com/amosbird)).
|
||||
* Integration with [COS](https://intl.cloud.tencent.com/product/cos). [#12386](https://github.com/ClickHouse/ClickHouse/pull/12386) ([fastio](https://github.com/fastio)).
|
||||
* Add mapAdd and mapSubtract functions for adding/subtracting key-mapped values. [#11735](https://github.com/ClickHouse/ClickHouse/pull/11735) ([Ildus Kurbangaliev](https://github.com/ildus)).
|
||||
|
||||
#### Bug Fix
|
||||
|
||||
* Fix premature `ON CLUSTER` timeouts for queries that must be executed on a single replica. Fixes [#6704](https://github.com/ClickHouse/ClickHouse/issues/6704), [#7228](https://github.com/ClickHouse/ClickHouse/issues/7228), [#13361](https://github.com/ClickHouse/ClickHouse/issues/13361), [#11884](https://github.com/ClickHouse/ClickHouse/issues/11884). [#13450](https://github.com/ClickHouse/ClickHouse/pull/13450) ([alesapin](https://github.com/alesapin)).
|
||||
* Fix crash in mark inclusion search introduced in https://github.com/ClickHouse/ClickHouse/pull/12277. [#14225](https://github.com/ClickHouse/ClickHouse/pull/14225) ([Amos Bird](https://github.com/amosbird)).
|
||||
* Fix crash in mark inclusion search introduced in [#12277](https://github.com/ClickHouse/ClickHouse/pull/12277). [#14225](https://github.com/ClickHouse/ClickHouse/pull/14225) ([Amos Bird](https://github.com/amosbird)).
|
||||
* Fix race condition in external dictionaries with cache layout which can lead server crash. [#12566](https://github.com/ClickHouse/ClickHouse/pull/12566) ([alesapin](https://github.com/alesapin)).
|
||||
* Fix visible data clobbering by progress bar in client in interactive mode. This fixes [#12562](https://github.com/ClickHouse/ClickHouse/issues/12562) and [#13369](https://github.com/ClickHouse/ClickHouse/issues/13369) and [#13584](https://github.com/ClickHouse/ClickHouse/issues/13584) and fixes [#12964](https://github.com/ClickHouse/ClickHouse/issues/12964). [#13691](https://github.com/ClickHouse/ClickHouse/pull/13691) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* Fixed incorrect sorting order for `LowCardinality` columns when ORDER BY multiple columns is used. This fixes [#13958](https://github.com/ClickHouse/ClickHouse/issues/13958). [#14223](https://github.com/ClickHouse/ClickHouse/pull/14223) ([Nikita Mikhaylov](https://github.com/nikitamikhaylov)).
|
||||
@ -71,7 +71,7 @@
|
||||
* Fix function if with nullable constexpr as cond that is not literal NULL. Fixes [#12463](https://github.com/ClickHouse/ClickHouse/issues/12463). [#13226](https://github.com/ClickHouse/ClickHouse/pull/13226) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* Fix assert in `arrayElement` function in case of array elements are Nullable and array subscript is also Nullable. This fixes [#12172](https://github.com/ClickHouse/ClickHouse/issues/12172). [#13224](https://github.com/ClickHouse/ClickHouse/pull/13224) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* Fix DateTime64 conversion functions with constant argument. [#13205](https://github.com/ClickHouse/ClickHouse/pull/13205) ([Azat Khuzhin](https://github.com/azat)).
|
||||
* Fix parsing row policies from users.xml when names of databases or tables contain dots. This fixes https://github.com/ClickHouse/ClickHouse/issues/5779, https://github.com/ClickHouse/ClickHouse/issues/12527. [#13199](https://github.com/ClickHouse/ClickHouse/pull/13199) ([Vitaly Baranov](https://github.com/vitlibar)).
|
||||
* Fix parsing row policies from users.xml when names of databases or tables contain dots. This fixes [#5779](https://github.com/ClickHouse/ClickHouse/issues/5779), [#12527](https://github.com/ClickHouse/ClickHouse/issues/12527). [#13199](https://github.com/ClickHouse/ClickHouse/pull/13199) ([Vitaly Baranov](https://github.com/vitlibar)).
|
||||
* Fix access to `redis` dictionary after connection was dropped once. It may happen with `cache` and `direct` dictionary layouts. [#13082](https://github.com/ClickHouse/ClickHouse/pull/13082) ([Anton Popov](https://github.com/CurtizJ)).
|
||||
* Fix wrong index analysis with functions. It could lead to some data parts being skipped when reading from `MergeTree` tables. Fixes [#13060](https://github.com/ClickHouse/ClickHouse/issues/13060). Fixes [#12406](https://github.com/ClickHouse/ClickHouse/issues/12406). [#13081](https://github.com/ClickHouse/ClickHouse/pull/13081) ([Anton Popov](https://github.com/CurtizJ)).
|
||||
* Fix error `Cannot convert column because it is constant but values of constants are different in source and result` for remote queries which use deterministic functions in scope of query, but not deterministic between queries, like `now()`, `now64()`, `randConstant()`. Fixes [#11327](https://github.com/ClickHouse/ClickHouse/issues/11327). [#13075](https://github.com/ClickHouse/ClickHouse/pull/13075) ([Nikolai Kochetov](https://github.com/KochetovNicolai)).
|
||||
@ -89,7 +89,7 @@
|
||||
* Fixed [#10572](https://github.com/ClickHouse/ClickHouse/issues/10572) fix bloom filter index with const expression. [#12659](https://github.com/ClickHouse/ClickHouse/pull/12659) ([Winter Zhang](https://github.com/zhang2014)).
|
||||
* Fix SIGSEGV in StorageKafka when broker is unavailable (and not only). [#12658](https://github.com/ClickHouse/ClickHouse/pull/12658) ([Azat Khuzhin](https://github.com/azat)).
|
||||
* Add support for function `if` with `Array(UUID)` arguments. This fixes [#11066](https://github.com/ClickHouse/ClickHouse/issues/11066). [#12648](https://github.com/ClickHouse/ClickHouse/pull/12648) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* CREATE USER IF NOT EXISTS now doesn't throw exception if the user exists. This fixes https://github.com/ClickHouse/ClickHouse/issues/12507. [#12646](https://github.com/ClickHouse/ClickHouse/pull/12646) ([Vitaly Baranov](https://github.com/vitlibar)).
|
||||
* CREATE USER IF NOT EXISTS now doesn't throw exception if the user exists. This fixes [#12507](https://github.com/ClickHouse/ClickHouse/issues/12507). [#12646](https://github.com/ClickHouse/ClickHouse/pull/12646) ([Vitaly Baranov](https://github.com/vitlibar)).
|
||||
* Exception `There is no supertype...` can be thrown during `ALTER ... UPDATE` in unexpected cases (e.g. when subtracting from UInt64 column). This fixes [#7306](https://github.com/ClickHouse/ClickHouse/issues/7306). This fixes [#4165](https://github.com/ClickHouse/ClickHouse/issues/4165). [#12633](https://github.com/ClickHouse/ClickHouse/pull/12633) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* Fix possible `Pipeline stuck` error for queries with external sorting. Fixes [#12617](https://github.com/ClickHouse/ClickHouse/issues/12617). [#12618](https://github.com/ClickHouse/ClickHouse/pull/12618) ([Nikolai Kochetov](https://github.com/KochetovNicolai)).
|
||||
* Fix error `Output of TreeExecutor is not sorted` for `OPTIMIZE DEDUPLICATE`. Fixes [#11572](https://github.com/ClickHouse/ClickHouse/issues/11572). [#12613](https://github.com/ClickHouse/ClickHouse/pull/12613) ([Nikolai Kochetov](https://github.com/KochetovNicolai)).
|
||||
@ -123,7 +123,7 @@
|
||||
* Fix assert in `parseDateTimeBestEffort`. This fixes [#12649](https://github.com/ClickHouse/ClickHouse/issues/12649). [#13227](https://github.com/ClickHouse/ClickHouse/pull/13227) ([alexey-milovidov](https://github.com/alexey-milovidov)).
|
||||
* Minor optimization in Processors/PipelineExecutor: breaking out of a loop because it makes sense to do so. [#13058](https://github.com/ClickHouse/ClickHouse/pull/13058) ([Mark Papadakis](https://github.com/markpapadakis)).
|
||||
* Support TRUNCATE table without TABLE keyword. [#12653](https://github.com/ClickHouse/ClickHouse/pull/12653) ([Winter Zhang](https://github.com/zhang2014)).
|
||||
* Fix explain query format overwrite by default, issue https://github.com/ClickHouse/ClickHouse/issues/12432. [#12541](https://github.com/ClickHouse/ClickHouse/pull/12541) ([BohuTANG](https://github.com/BohuTANG)).
|
||||
* Fix explain query format overwrite by default. This fixes [#12541](https://github.com/ClickHouse/ClickHouse/issues/12432). [#12541](https://github.com/ClickHouse/ClickHouse/pull/12541) ([BohuTANG](https://github.com/BohuTANG)).
|
||||
* Allow to set JOIN kind and type in more standad way: `LEFT SEMI JOIN` instead of `SEMI LEFT JOIN`. For now both are correct. [#12520](https://github.com/ClickHouse/ClickHouse/pull/12520) ([Artem Zuikov](https://github.com/4ertus2)).
|
||||
* Changes default value for `multiple_joins_rewriter_version` to 2. It enables new multiple joins rewriter that knows about column names. [#12469](https://github.com/ClickHouse/ClickHouse/pull/12469) ([Artem Zuikov](https://github.com/4ertus2)).
|
||||
* Add several metrics for requests to S3 storages. [#12464](https://github.com/ClickHouse/ClickHouse/pull/12464) ([ianton-ru](https://github.com/ianton-ru)).
|
||||
|
||||
@ -18,3 +18,4 @@ ClickHouse is an open-source column-oriented database management system that all
|
||||
## Upcoming Events
|
||||
|
||||
* [ClickHouse Data Integration Virtual Meetup](https://www.eventbrite.com/e/clickhouse-september-virtual-meetup-data-integration-tickets-117421895049) on September 10, 2020.
|
||||
* [ClickHouse talk at Ya.Subbotnik (in Russian)](https://ya.cc/t/cIBI-3yECj5JF) on September 12, 2020.
|
||||
|
||||
@ -32,6 +32,8 @@ PEERDIR(
|
||||
contrib/restricted/cityhash-1.0.2
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
argsToConfig.cpp
|
||||
coverage.cpp
|
||||
|
||||
@ -31,6 +31,8 @@ PEERDIR(
|
||||
contrib/restricted/cityhash-1.0.2
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
<? find . -name '*.cpp' | grep -v -F tests/ | grep -v -F Replxx | grep -v -F Readline | sed 's/^\.\// /' | sort ?>
|
||||
)
|
||||
|
||||
@ -6,6 +6,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
BaseDaemon.cpp
|
||||
GraphiteWriter.cpp
|
||||
|
||||
@ -4,6 +4,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
ExtendedLogChannel.cpp
|
||||
Loggers.cpp
|
||||
|
||||
@ -1,9 +1,7 @@
|
||||
#pragma once
|
||||
|
||||
#include <boost/noncopyable.hpp>
|
||||
#include <mysqlxx/Types.h>
|
||||
|
||||
|
||||
namespace mysqlxx
|
||||
{
|
||||
|
||||
@ -22,6 +20,11 @@ class ResultBase
|
||||
public:
|
||||
ResultBase(MYSQL_RES * res_, Connection * conn_, const Query * query_);
|
||||
|
||||
ResultBase(const ResultBase &) = delete;
|
||||
ResultBase & operator=(const ResultBase &) = delete;
|
||||
ResultBase(ResultBase &&) = default;
|
||||
ResultBase & operator=(ResultBase &&) = default;
|
||||
|
||||
Connection * getConnection() { return conn; }
|
||||
MYSQL_FIELDS getFields() { return fields; }
|
||||
unsigned getNumFields() { return num_fields; }
|
||||
|
||||
@ -254,7 +254,23 @@ template <> inline std::string Value::get<std::string >() cons
|
||||
template <> inline LocalDate Value::get<LocalDate >() const { return getDate(); }
|
||||
template <> inline LocalDateTime Value::get<LocalDateTime >() const { return getDateTime(); }
|
||||
|
||||
template <typename T> inline T Value::get() const { return T(*this); }
|
||||
|
||||
namespace details
|
||||
{
|
||||
// To avoid stack overflow when converting to type with no appropriate c-tor,
|
||||
// resulting in endless recursive calls from `Value::get<T>()` to `Value::operator T()` to `Value::get<T>()` to ...
|
||||
template <typename T, typename std::enable_if_t<std::is_constructible_v<T, Value>>>
|
||||
inline T contructFromValue(const Value & val)
|
||||
{
|
||||
return T(val);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
inline T Value::get() const
|
||||
{
|
||||
return details::contructFromValue<T>(*this);
|
||||
}
|
||||
|
||||
|
||||
inline std::ostream & operator<< (std::ostream & ostr, const Value & x)
|
||||
|
||||
@ -1,5 +1,7 @@
|
||||
LIBRARY()
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
readpassphrase.c
|
||||
)
|
||||
|
||||
@ -2,6 +2,8 @@ LIBRARY()
|
||||
|
||||
ADDINCL(GLOBAL clickhouse/base/widechar_width)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
widechar_width.cpp
|
||||
)
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
# This strings autochanged from release_lib.sh:
|
||||
SET(VERSION_REVISION 54439)
|
||||
SET(VERSION_REVISION 54440)
|
||||
SET(VERSION_MAJOR 20)
|
||||
SET(VERSION_MINOR 9)
|
||||
SET(VERSION_MINOR 10)
|
||||
SET(VERSION_PATCH 1)
|
||||
SET(VERSION_GITHASH 0586f0d555f7481b394afc55bbb29738cd573a1c)
|
||||
SET(VERSION_DESCRIBE v20.9.1.1-prestable)
|
||||
SET(VERSION_STRING 20.9.1.1)
|
||||
SET(VERSION_GITHASH 11a247d2f42010c1a17bf678c3e00a4bc89b23f8)
|
||||
SET(VERSION_DESCRIBE v20.10.1.1-prestable)
|
||||
SET(VERSION_STRING 20.10.1.1)
|
||||
# end of autochange
|
||||
|
||||
@ -6,6 +6,11 @@ endif()
|
||||
|
||||
if ((ENABLE_CCACHE OR NOT DEFINED ENABLE_CCACHE) AND NOT COMPILER_MATCHES_CCACHE)
|
||||
find_program (CCACHE_FOUND ccache)
|
||||
if (CCACHE_FOUND)
|
||||
set(ENABLE_CCACHE_BY_DEFAULT 1)
|
||||
else()
|
||||
set(ENABLE_CCACHE_BY_DEFAULT 0)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
if (NOT CCACHE_FOUND AND NOT DEFINED ENABLE_CCACHE AND NOT COMPILER_MATCHES_CCACHE)
|
||||
@ -13,7 +18,7 @@ if (NOT CCACHE_FOUND AND NOT DEFINED ENABLE_CCACHE AND NOT COMPILER_MATCHES_CCAC
|
||||
"Setting it up will significantly reduce compilation time for 2nd and consequent builds")
|
||||
endif()
|
||||
|
||||
option(ENABLE_CCACHE "Speedup re-compilations using ccache" ${CCACHE_FOUND})
|
||||
option(ENABLE_CCACHE "Speedup re-compilations using ccache" ${ENABLE_CCACHE_BY_DEFAULT})
|
||||
|
||||
if (NOT ENABLE_CCACHE)
|
||||
return()
|
||||
@ -24,7 +29,7 @@ if (CCACHE_FOUND AND NOT COMPILER_MATCHES_CCACHE)
|
||||
string(REGEX REPLACE "ccache version ([0-9\\.]+).*" "\\1" CCACHE_VERSION ${CCACHE_VERSION})
|
||||
|
||||
if (CCACHE_VERSION VERSION_GREATER "3.2.0" OR NOT CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
|
||||
#message(STATUS "Using ${CCACHE_FOUND} ${CCACHE_VERSION}")
|
||||
message(STATUS "Using ${CCACHE_FOUND} ${CCACHE_VERSION}")
|
||||
set_property (GLOBAL PROPERTY RULE_LAUNCH_COMPILE ${CCACHE_FOUND})
|
||||
set_property (GLOBAL PROPERTY RULE_LAUNCH_LINK ${CCACHE_FOUND})
|
||||
else ()
|
||||
|
||||
4
debian/changelog
vendored
4
debian/changelog
vendored
@ -1,5 +1,5 @@
|
||||
clickhouse (20.9.1.1) unstable; urgency=low
|
||||
clickhouse (20.10.1.1) unstable; urgency=low
|
||||
|
||||
* Modified source code
|
||||
|
||||
-- clickhouse-release <clickhouse-release@yandex-team.ru> Mon, 31 Aug 2020 23:07:38 +0300
|
||||
-- clickhouse-release <clickhouse-release@yandex-team.ru> Tue, 08 Sep 2020 17:04:39 +0300
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=20.9.1.*
|
||||
ARG version=20.10.1.*
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install --yes --no-install-recommends \
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
# docker build -t yandex/clickhouse-binary-builder .
|
||||
FROM ubuntu:19.10
|
||||
FROM ubuntu:20.04
|
||||
|
||||
ENV DEBIAN_FRONTEND=noninteractive LLVM_VERSION=10
|
||||
|
||||
@ -32,6 +32,8 @@ RUN apt-get update \
|
||||
curl \
|
||||
gcc-9 \
|
||||
g++-9 \
|
||||
gcc-10 \
|
||||
g++-10 \
|
||||
llvm-${LLVM_VERSION} \
|
||||
clang-${LLVM_VERSION} \
|
||||
lld-${LLVM_VERSION} \
|
||||
|
||||
@ -18,7 +18,7 @@ ccache --zero-stats ||:
|
||||
ln -s /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/libOpenCL.so ||:
|
||||
rm -f CMakeCache.txt
|
||||
cmake --debug-trycompile --verbose=1 -DCMAKE_VERBOSE_MAKEFILE=1 -LA -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DSANITIZE=$SANITIZER $CMAKE_FLAGS ..
|
||||
ninja $NINJA_FLAGS clickhouse-bundle
|
||||
ninja -j $(($(nproc) / 2)) $NINJA_FLAGS clickhouse-bundle
|
||||
mv ./programs/clickhouse* /output
|
||||
mv ./src/unit_tests_dbms /output
|
||||
find . -name '*.so' -print -exec mv '{}' /output \;
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:20.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=20.9.1.*
|
||||
ARG version=20.10.1.*
|
||||
ARG gosu_ver=1.10
|
||||
|
||||
RUN apt-get update \
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
FROM ubuntu:18.04
|
||||
|
||||
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
|
||||
ARG version=20.9.1.*
|
||||
ARG version=20.10.1.*
|
||||
|
||||
RUN apt-get update && \
|
||||
apt-get install -y apt-transport-https dirmngr && \
|
||||
|
||||
@ -5,8 +5,7 @@ trap "exit" INT TERM
|
||||
trap 'kill $(jobs -pr) ||:' EXIT
|
||||
|
||||
# This script is separated into two stages, cloning and everything else, so
|
||||
# that we can run the "everything else" stage from the cloned source (we don't
|
||||
# do this yet).
|
||||
# that we can run the "everything else" stage from the cloned source.
|
||||
stage=${stage:-}
|
||||
|
||||
# A variable to pass additional flags to CMake.
|
||||
@ -16,7 +15,6 @@ stage=${stage:-}
|
||||
# empty parameter.
|
||||
read -ra FASTTEST_CMAKE_FLAGS <<< "${FASTTEST_CMAKE_FLAGS:-}"
|
||||
|
||||
ls -la
|
||||
|
||||
function kill_clickhouse
|
||||
{
|
||||
@ -60,6 +58,7 @@ function clone_root
|
||||
git clone https://github.com/ClickHouse/ClickHouse.git | ts '%Y-%m-%d %H:%M:%S' | tee /test_output/clone_log.txt
|
||||
cd ClickHouse
|
||||
CLICKHOUSE_DIR=$(pwd)
|
||||
export CLICKHOUSE_DIR
|
||||
|
||||
|
||||
if [ "$PULL_REQUEST_NUMBER" != "0" ]; then
|
||||
@ -251,12 +250,20 @@ fi
|
||||
|
||||
case "$stage" in
|
||||
"")
|
||||
ls -la
|
||||
;&
|
||||
|
||||
"clone_root")
|
||||
clone_root
|
||||
# TODO bootstrap into the cloned script here. Add this on Sep 1 2020 or
|
||||
# later, so that most of the old branches are updated with this code.
|
||||
|
||||
# Pass control to the script from cloned sources, unless asked otherwise.
|
||||
if ! [ -v FASTTEST_LOCAL_SCRIPT ]
|
||||
then
|
||||
stage=run "$CLICKHOUSE_DIR/docker/test/fasttest/run.sh"
|
||||
exit $?
|
||||
fi
|
||||
;&
|
||||
|
||||
"run")
|
||||
run
|
||||
;&
|
||||
|
||||
@ -5,4 +5,4 @@ services:
|
||||
restart: always
|
||||
ports:
|
||||
- 6380:6379
|
||||
command: redis-server --requirepass "clickhouse"
|
||||
command: redis-server --requirepass "clickhouse" --databases 32
|
||||
|
||||
@ -609,7 +609,7 @@ create table test_perf_changes_report engine File(TSV, 'report/test-perf-changes
|
||||
or bad
|
||||
)
|
||||
)
|
||||
order by test = 'Total' desc
|
||||
order by test = 'Total' desc, times_speedup desc
|
||||
;
|
||||
|
||||
|
||||
|
||||
@ -262,6 +262,13 @@ for query_index, q in enumerate(test_queries):
|
||||
print(f'query\t{query_index}\t{run_id}\t{conn_index}\t{c.last_query.elapsed}')
|
||||
server_seconds += c.last_query.elapsed
|
||||
|
||||
if c.last_query.elapsed > 10:
|
||||
# Stop processing pathologically slow queries, to avoid timing out
|
||||
# the entire test task. This shouldn't really happen, so we don't
|
||||
# need much handling for this case and can just exit.
|
||||
print(f'The query no. {query_index} is taking too long to run ({c.last_query.elapsed} s)', file=sys.stderr)
|
||||
exit(2)
|
||||
|
||||
client_seconds = time.perf_counter() - start_seconds
|
||||
print(f'client-time\t{query_index}\t{client_seconds}\t{server_seconds}')
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import tarfile
|
||||
import logging
|
||||
import argparse
|
||||
@ -16,6 +17,8 @@ AVAILABLE_DATASETS = {
|
||||
'visits': 'visits_v1.tar',
|
||||
}
|
||||
|
||||
RETRIES_COUNT = 5
|
||||
|
||||
def _get_temp_file_name():
|
||||
return os.path.join(tempfile._get_default_tempdir(), next(tempfile._get_candidate_names()))
|
||||
|
||||
@ -24,25 +27,37 @@ def build_url(base_url, dataset):
|
||||
|
||||
def dowload_with_progress(url, path):
|
||||
logging.info("Downloading from %s to temp path %s", url, path)
|
||||
with open(path, 'w') as f:
|
||||
response = requests.get(url, stream=True)
|
||||
response.raise_for_status()
|
||||
total_length = response.headers.get('content-length')
|
||||
if total_length is None or int(total_length) == 0:
|
||||
logging.info("No content-length, will download file without progress")
|
||||
f.write(response.content)
|
||||
else:
|
||||
dl = 0
|
||||
total_length = int(total_length)
|
||||
logging.info("Content length is %ld bytes", total_length)
|
||||
for data in response.iter_content(chunk_size=4096):
|
||||
dl += len(data)
|
||||
f.write(data)
|
||||
if sys.stdout.isatty():
|
||||
done = int(50 * dl / total_length)
|
||||
percent = int(100 * float(dl) / total_length)
|
||||
sys.stdout.write("\r[{}{}] {}%".format('=' * done, ' ' * (50-done), percent))
|
||||
sys.stdout.flush()
|
||||
for i in range(RETRIES_COUNT):
|
||||
try:
|
||||
with open(path, 'w') as f:
|
||||
response = requests.get(url, stream=True)
|
||||
response.raise_for_status()
|
||||
total_length = response.headers.get('content-length')
|
||||
if total_length is None or int(total_length) == 0:
|
||||
logging.info("No content-length, will download file without progress")
|
||||
f.write(response.content)
|
||||
else:
|
||||
dl = 0
|
||||
total_length = int(total_length)
|
||||
logging.info("Content length is %ld bytes", total_length)
|
||||
for data in response.iter_content(chunk_size=4096):
|
||||
dl += len(data)
|
||||
f.write(data)
|
||||
if sys.stdout.isatty():
|
||||
done = int(50 * dl / total_length)
|
||||
percent = int(100 * float(dl) / total_length)
|
||||
sys.stdout.write("\r[{}{}] {}%".format('=' * done, ' ' * (50-done), percent))
|
||||
sys.stdout.flush()
|
||||
break
|
||||
except Exception as ex:
|
||||
sys.stdout.write("\n")
|
||||
time.sleep(3)
|
||||
logging.info("Exception while downloading %s, retry %s", ex, i + 1)
|
||||
if os.path.exists(path):
|
||||
os.remove(path)
|
||||
else:
|
||||
raise Exception("Cannot download dataset from {}, all retries exceeded".format(url))
|
||||
|
||||
sys.stdout.write("\n")
|
||||
logging.info("Downloading finished")
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import tarfile
|
||||
import logging
|
||||
import argparse
|
||||
@ -16,6 +17,8 @@ AVAILABLE_DATASETS = {
|
||||
'visits': 'visits_v1.tar',
|
||||
}
|
||||
|
||||
RETRIES_COUNT = 5
|
||||
|
||||
def _get_temp_file_name():
|
||||
return os.path.join(tempfile._get_default_tempdir(), next(tempfile._get_candidate_names()))
|
||||
|
||||
@ -24,25 +27,37 @@ def build_url(base_url, dataset):
|
||||
|
||||
def dowload_with_progress(url, path):
|
||||
logging.info("Downloading from %s to temp path %s", url, path)
|
||||
with open(path, 'w') as f:
|
||||
response = requests.get(url, stream=True)
|
||||
response.raise_for_status()
|
||||
total_length = response.headers.get('content-length')
|
||||
if total_length is None or int(total_length) == 0:
|
||||
logging.info("No content-length, will download file without progress")
|
||||
f.write(response.content)
|
||||
else:
|
||||
dl = 0
|
||||
total_length = int(total_length)
|
||||
logging.info("Content length is %ld bytes", total_length)
|
||||
for data in response.iter_content(chunk_size=4096):
|
||||
dl += len(data)
|
||||
f.write(data)
|
||||
if sys.stdout.isatty():
|
||||
done = int(50 * dl / total_length)
|
||||
percent = int(100 * float(dl) / total_length)
|
||||
sys.stdout.write("\r[{}{}] {}%".format('=' * done, ' ' * (50-done), percent))
|
||||
sys.stdout.flush()
|
||||
for i in range(RETRIES_COUNT):
|
||||
try:
|
||||
with open(path, 'w') as f:
|
||||
response = requests.get(url, stream=True)
|
||||
response.raise_for_status()
|
||||
total_length = response.headers.get('content-length')
|
||||
if total_length is None or int(total_length) == 0:
|
||||
logging.info("No content-length, will download file without progress")
|
||||
f.write(response.content)
|
||||
else:
|
||||
dl = 0
|
||||
total_length = int(total_length)
|
||||
logging.info("Content length is %ld bytes", total_length)
|
||||
for data in response.iter_content(chunk_size=4096):
|
||||
dl += len(data)
|
||||
f.write(data)
|
||||
if sys.stdout.isatty():
|
||||
done = int(50 * dl / total_length)
|
||||
percent = int(100 * float(dl) / total_length)
|
||||
sys.stdout.write("\r[{}{}] {}%".format('=' * done, ' ' * (50-done), percent))
|
||||
sys.stdout.flush()
|
||||
break
|
||||
except Exception as ex:
|
||||
sys.stdout.write("\n")
|
||||
time.sleep(3)
|
||||
logging.info("Exception while downloading %s, retry %s", ex, i + 1)
|
||||
if os.path.exists(path):
|
||||
os.remove(path)
|
||||
else:
|
||||
raise Exception("Cannot download dataset from {}, all retries exceeded".format(url))
|
||||
|
||||
sys.stdout.write("\n")
|
||||
logging.info("Downloading finished")
|
||||
|
||||
|
||||
@ -32,7 +32,8 @@ SETTINGS
|
||||
[kafka_num_consumers = N,]
|
||||
[kafka_max_block_size = 0,]
|
||||
[kafka_skip_broken_messages = N,]
|
||||
[kafka_commit_every_batch = 0]
|
||||
[kafka_commit_every_batch = 0,]
|
||||
[kafka_thread_per_consumer = 0]
|
||||
```
|
||||
|
||||
Required parameters:
|
||||
@ -50,6 +51,7 @@ Optional parameters:
|
||||
- `kafka_max_block_size` - The maximum batch size (in messages) for poll (default: `max_block_size`).
|
||||
- `kafka_skip_broken_messages` – Kafka message parser tolerance to schema-incompatible messages per block. Default: `0`. If `kafka_skip_broken_messages = N` then the engine skips *N* Kafka messages that cannot be parsed (a message equals a row of data).
|
||||
- `kafka_commit_every_batch` - Commit every consumed and handled batch instead of a single commit after writing a whole block (default: `0`).
|
||||
- `kafka_thread_per_consumer` - Provide independent thread for each consumer (default: `0`). When enabled, every consumer flush the data independently, in parallel (otherwise - rows from several consumers squashed to form one block).
|
||||
|
||||
Examples:
|
||||
|
||||
|
||||
@ -27,9 +27,15 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
[rabbitmq_exchange_type = 'exchange_type',]
|
||||
[rabbitmq_routing_key_list = 'key1,key2,...',]
|
||||
[rabbitmq_row_delimiter = 'delimiter_symbol',]
|
||||
[rabbitmq_schema = '',]
|
||||
[rabbitmq_num_consumers = N,]
|
||||
[rabbitmq_num_queues = N,]
|
||||
[rabbitmq_transactional_channel = 0]
|
||||
[rabbitmq_queue_base = 'queue',]
|
||||
[rabbitmq_deadletter_exchange = 'dl-exchange',]
|
||||
[rabbitmq_persistent = 0,]
|
||||
[rabbitmq_skip_broken_messages = N,]
|
||||
[rabbitmq_max_block_size = N,]
|
||||
[rabbitmq_flush_interval_ms = N]
|
||||
```
|
||||
|
||||
Required parameters:
|
||||
@ -40,12 +46,18 @@ Required parameters:
|
||||
|
||||
Optional parameters:
|
||||
|
||||
- `rabbitmq_exchange_type` – The type of RabbitMQ exchange: `direct`, `fanout`, `topic`, `headers`, `consistent-hash`. Default: `fanout`.
|
||||
- `rabbitmq_exchange_type` – The type of RabbitMQ exchange: `direct`, `fanout`, `topic`, `headers`, `consistent_hash`. Default: `fanout`.
|
||||
- `rabbitmq_routing_key_list` – A comma-separated list of routing keys.
|
||||
- `rabbitmq_row_delimiter` – Delimiter character, which ends the message.
|
||||
- `rabbitmq_schema` – Parameter that must be used if the format requires a schema definition. For example, [Cap’n Proto](https://capnproto.org/) requires the path to the schema file and the name of the root `schema.capnp:Message` object.
|
||||
- `rabbitmq_num_consumers` – The number of consumers per table. Default: `1`. Specify more consumers if the throughput of one consumer is insufficient.
|
||||
- `rabbitmq_num_queues` – The number of queues per consumer. Default: `1`. Specify more queues if the capacity of one queue per consumer is insufficient. A single queue can contain up to 50K messages at the same time.
|
||||
- `rabbitmq_transactional_channel` – Wrap `INSERT` queries in transactions. Default: `0`.
|
||||
- `rabbitmq_num_queues` – The number of queues per consumer. Default: `1`. Specify more queues if the capacity of one queue per consumer is insufficient.
|
||||
- `rabbitmq_queue_base` - Specify a base name for queues that will be declared. By default, queues are declared unique to tables based on db and table names.
|
||||
- `rabbitmq_deadletter_exchange` - Specify name for a [dead letter exchange](https://www.rabbitmq.com/dlx.html). You can create another table with this exchange name and collect messages in cases when they are republished to dead letter exchange. By default dead letter exchange is not specified.
|
||||
- `persistent` - If set to 1 (true), in insert query delivery mode will be set to 2 (marks messages as 'persistent'). Default: `0`.
|
||||
- `rabbitmq_skip_broken_messages` – RabbitMQ message parser tolerance to schema-incompatible messages per block. Default: `0`. If `rabbitmq_skip_broken_messages = N` then the engine skips *N* RabbitMQ messages that cannot be parsed (a message equals a row of data).
|
||||
- `rabbitmq_max_block_size`
|
||||
- `rabbitmq_flush_interval_ms`
|
||||
|
||||
Required configuration:
|
||||
|
||||
@ -92,13 +104,22 @@ Exchange type options:
|
||||
- `headers` - Routing is based on `key=value` matches with a setting `x-match=all` or `x-match=any`. Example table key list: `x-match=all,format=logs,type=report,year=2020`.
|
||||
- `consistent-hash` - Data is evenly distributed between all bound tables (where the exchange name is the same). Note that this exchange type must be enabled with RabbitMQ plugin: `rabbitmq-plugins enable rabbitmq_consistent_hash_exchange`.
|
||||
|
||||
If exchange type is not specified, then default is `fanout` and routing keys for data publishing must be randomized in range `[1, num_consumers]` for every message/batch (or in range `[1, num_consumers * num_queues]` if `rabbitmq_num_queues` is set). This table configuration works quicker than any other, especially when `rabbitmq_num_consumers` and/or `rabbitmq_num_queues` parameters are set.
|
||||
Setting `rabbitmq_queue_base` may be used for the following cases:
|
||||
- to let different tables share queues, so that multiple consumers could be registered for the same queues, which makes a better performance. If using `rabbitmq_num_consumers` and/or `rabbitmq_num_queues` settings, the exact match of queues is achieved in case these parameters are the same.
|
||||
- to be able to restore reading from certain durable queues when not all messages were successfully consumed. To be able to resume consumption from one specific queue - set its name in `rabbitmq_queue_base` setting and do not specify `rabbitmq_num_consumers` and `rabbitmq_num_queues` (defaults to 1). To be able to resume consumption from all queues, which were declared for a specific table - just specify the same settings: `rabbitmq_queue_base`, `rabbitmq_num_consumers`, `rabbitmq_num_queues`. By default, queue names will be unique to tables. Note: it makes sence only if messages are sent with delivery mode 2 - marked 'persistent', durable.
|
||||
- to reuse queues as they are declared durable and not auto-deleted.
|
||||
|
||||
If `rabbitmq_num_consumers` and/or `rabbitmq_num_queues` parameters are specified along with `rabbitmq_exchange_type`, then:
|
||||
To improve performance, received messages are grouped into blocks the size of [max\_insert\_block\_size](../../../operations/server-configuration-parameters/settings.md#settings-max_insert_block_size). If the block wasn’t formed within [stream\_flush\_interval\_ms](../../../operations/server-configuration-parameters/settings.md) milliseconds, the data will be flushed to the table regardless of the completeness of the block.
|
||||
|
||||
If `rabbitmq_num_consumers` and/or `rabbitmq_num_queues` settings are specified along with `rabbitmq_exchange_type`, then:
|
||||
|
||||
- `rabbitmq-consistent-hash-exchange` plugin must be enabled.
|
||||
- `message_id` property of the published messages must be specified (unique for each message/batch).
|
||||
|
||||
For insert query there is message metadata, which is added for each published message: `messageID` and `republished` flag (true, if published more than once) - can be accessed via message headers.
|
||||
|
||||
Do not use the same table for inserts and materialized views.
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
@ -113,10 +134,18 @@ Example:
|
||||
rabbitmq_num_consumers = 5;
|
||||
|
||||
CREATE TABLE daily (key UInt64, value UInt64)
|
||||
ENGINE = MergeTree();
|
||||
ENGINE = MergeTree() ORDER BY key;
|
||||
|
||||
CREATE MATERIALIZED VIEW consumer TO daily
|
||||
AS SELECT key, value FROM queue;
|
||||
|
||||
SELECT key, value FROM daily ORDER BY key;
|
||||
```
|
||||
|
||||
## Virtual Columns {#virtual-columns}
|
||||
|
||||
- `_exchange_name` - RabbitMQ exchange name.
|
||||
- `_channel_id` - ChannelID, on which consumer, who received the message, was declared.
|
||||
- `_delivery_tag` - DeliveryTag of the received message. Scoped per channel.
|
||||
- `_redelivered` - `redelivered` flag of the message.
|
||||
- `_message_id` - MessageID of the received message; non-empty if was set, when message was published.
|
||||
|
||||
@ -62,6 +62,7 @@ Management queries:
|
||||
- [ALTER USER](../sql-reference/statements/alter/user.md#alter-user-statement)
|
||||
- [DROP USER](../sql-reference/statements/drop.md)
|
||||
- [SHOW CREATE USER](../sql-reference/statements/show.md#show-create-user-statement)
|
||||
- [SHOW USERS](../sql-reference/statements/show.md#show-users-statement)
|
||||
|
||||
### Settings Applying {#access-control-settings-applying}
|
||||
|
||||
@ -90,6 +91,7 @@ Management queries:
|
||||
- [SET ROLE](../sql-reference/statements/set-role.md)
|
||||
- [SET DEFAULT ROLE](../sql-reference/statements/set-role.md#set-default-role-statement)
|
||||
- [SHOW CREATE ROLE](../sql-reference/statements/show.md#show-create-role-statement)
|
||||
- [SHOW ROLES](../sql-reference/statements/show.md#show-roles-statement)
|
||||
|
||||
Privileges can be granted to a role by the [GRANT](../sql-reference/statements/grant.md) query. To revoke privileges from a role ClickHouse provides the [REVOKE](../sql-reference/statements/revoke.md) query.
|
||||
|
||||
@ -103,6 +105,7 @@ Management queries:
|
||||
- [ALTER ROW POLICY](../sql-reference/statements/alter/row-policy.md#alter-row-policy-statement)
|
||||
- [DROP ROW POLICY](../sql-reference/statements/drop.md#drop-row-policy-statement)
|
||||
- [SHOW CREATE ROW POLICY](../sql-reference/statements/show.md#show-create-row-policy-statement)
|
||||
- [SHOW POLICIES](../sql-reference/statements/show.md#show-policies-statement)
|
||||
|
||||
## Settings Profile {#settings-profiles-management}
|
||||
|
||||
@ -114,6 +117,7 @@ Management queries:
|
||||
- [ALTER SETTINGS PROFILE](../sql-reference/statements/alter/settings-profile.md#alter-settings-profile-statement)
|
||||
- [DROP SETTINGS PROFILE](../sql-reference/statements/drop.md#drop-settings-profile-statement)
|
||||
- [SHOW CREATE SETTINGS PROFILE](../sql-reference/statements/show.md#show-create-settings-profile-statement)
|
||||
- [SHOW PROFILES](../sql-reference/statements/show.md#show-profiles-statement)
|
||||
|
||||
## Quota {#quotas-management}
|
||||
|
||||
@ -127,6 +131,8 @@ Management queries:
|
||||
- [ALTER QUOTA](../sql-reference/statements/alter/quota.md#alter-quota-statement)
|
||||
- [DROP QUOTA](../sql-reference/statements/drop.md#drop-quota-statement)
|
||||
- [SHOW CREATE QUOTA](../sql-reference/statements/show.md#show-create-quota-statement)
|
||||
- [SHOW QUOTA](../sql-reference/statements/show.md#show-quota-statement)
|
||||
- [SHOW QUOTAS](../sql-reference/statements/show.md#show-quotas-statement)
|
||||
|
||||
## Enabling SQL-driven Access Control and Account Management {#enabling-access-control}
|
||||
|
||||
|
||||
@ -34,6 +34,7 @@ Columns:
|
||||
- `event_date` ([Date](../../sql-reference/data-types/date.md)) — Query starting date.
|
||||
- `event_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Query starting time.
|
||||
- `query_start_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Start time of query execution.
|
||||
- `query_start_time_microseconds` ([DateTime64](../../sql-reference/data-types/datetime64.md)) — Start time of query execution with microsecond precision.
|
||||
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Duration of query execution in milliseconds.
|
||||
- `read_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number or rows read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_rows` includes the total number of rows read at all replicas. Each replica sends it’s `read_rows` value, and the server-initiator of the query summarize all received and local values. The cache volumes doesn’t affect this value.
|
||||
- `read_bytes` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number or bytes read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_bytes` includes the total number of rows read at all replicas. Each replica sends it’s `read_bytes` value, and the server-initiator of the query summarize all received and local values. The cache volumes doesn’t affect this value.
|
||||
|
||||
@ -16,6 +16,7 @@ Columns:
|
||||
- `event_date` ([Date](../../sql-reference/data-types/date.md)) — The date when the thread has finished execution of the query.
|
||||
- `event_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — The date and time when the thread has finished execution of the query.
|
||||
- `query_start_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Start time of query execution.
|
||||
- `query_start_time_microseconds` ([DateTime64](../../sql-reference/data-types/datetime64.md)) — Start time of query execution with microsecond precision.
|
||||
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Duration of query execution.
|
||||
- `read_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Number of read rows.
|
||||
- `read_bytes` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Number of read bytes.
|
||||
|
||||
@ -23,4 +23,8 @@ Columns:
|
||||
- `execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — The total query execution time, in seconds (wall time).
|
||||
- `max_execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Maximum of query execution time.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW QUOTA](../../sql-reference/statements/show.md#show-quota-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/quota_usage) <!--hide-->
|
||||
|
||||
@ -20,5 +20,9 @@ Columns:
|
||||
- `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.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW QUOTAS](../../sql-reference/statements/show.md#show-quotas-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/quotas) <!--hide-->
|
||||
|
||||
|
||||
@ -24,4 +24,8 @@ Columns:
|
||||
- `execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — The total query execution time, in seconds (wall time).
|
||||
- `max_execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Maximum of query execution time.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW QUOTA](../../sql-reference/statements/show.md#show-quota-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/quotas_usage) <!--hide-->
|
||||
|
||||
@ -5,11 +5,15 @@ Contains the role grants for users and roles. To add entries to this table, use
|
||||
Columns:
|
||||
|
||||
- `user_name` ([Nullable](../../sql-reference/data-types/nullable.md)([String](../../sql-reference/data-types/string.md))) — User name.
|
||||
|
||||
- `role_name` ([Nullable](../../sql-reference/data-types/nullable.md)([String](../../sql-reference/data-types/string.md))) — Role name.
|
||||
|
||||
- `granted_role_name` ([String](../../sql-reference/data-types/string.md)) — Name of role granted to the `role_name` role. To grant one role to another one use `GRANT role1 TO role2`.
|
||||
|
||||
- `granted_role_is_default` ([UInt8](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Flag that shows whether `granted_role` is a default role. Possible values:
|
||||
- 1 — `granted_role` is a default role.
|
||||
- 0 — `granted_role` is not a default role.
|
||||
|
||||
- `with_admin_option` ([UInt8](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Flag that shows whether `granted_role` is a role with [ADMIN OPTION](../../sql-reference/statements/grant.md#admin-option-privilege) privilege. Possible values:
|
||||
- 1 — The role has `ADMIN OPTION` privilege.
|
||||
- 0 — The role without `ADMIN OPTION` privilege.
|
||||
|
||||
@ -8,4 +8,8 @@ Columns:
|
||||
- `id` ([UUID](../../sql-reference/data-types/uuid.md)) — Role ID.
|
||||
- `storage` ([String](../../sql-reference/data-types/string.md)) — Path to the storage of roles. Configured in the `access_control_path` parameter.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW ROLES](../../sql-reference/statements/show.md#show-roles-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/roles) <!--hide-->
|
||||
|
||||
@ -27,4 +27,8 @@ Columns:
|
||||
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — The row policies is applied to all roles and/or users excepting of the listed ones.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW POLICIES](../../sql-reference/statements/show.md#show-policies-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/row_policies) <!--hide-->
|
||||
|
||||
@ -17,4 +17,8 @@ Columns:
|
||||
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — The setting profile is applied to all roles and/or users excepting of the listed ones.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW PROFILES](../../sql-reference/statements/show.md#show-profiles-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/settings_profiles) <!--hide-->
|
||||
|
||||
@ -82,8 +82,8 @@ res: /lib/x86_64-linux-gnu/libc-2.27.so
|
||||
|
||||
- [Introspection Functions](../../sql-reference/functions/introspection.md) — Which introspection functions are available and how to use them.
|
||||
- [system.trace_log](../system-tables/trace_log.md) — Contains stack traces collected by the sampling query profiler.
|
||||
- [arrayMap](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-map) — Description and usage example of the `arrayMap` function.
|
||||
- [arrayFilter](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-filter) — Description and usage example of the `arrayFilter` function.
|
||||
- [arrayMap](../../sql-reference/functions/array-functions.md#array-map) — Description and usage example of the `arrayMap` function.
|
||||
- [arrayFilter](../../sql-reference/functions/array-functions.md#array-filter) — Description and usage example of the `arrayFilter` function.
|
||||
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system-tables/stack_trace) <!--hide-->
|
||||
|
||||
@ -27,4 +27,8 @@ Columns:
|
||||
|
||||
- `default_roles_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — All the granted roles set as default excepting of the listed ones.
|
||||
|
||||
## See Also {#see-also}
|
||||
|
||||
- [SHOW USERS](../../sql-reference/statements/show.md#show-users-statement)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/users) <!--hide-->
|
||||
|
||||
@ -35,7 +35,7 @@ $ echo 0 | sudo tee /proc/sys/vm/overcommit_memory
|
||||
Always disable transparent huge pages. It interferes with memory allocators, which leads to significant performance degradation.
|
||||
|
||||
``` bash
|
||||
$ echo 'never' | sudo tee /sys/kernel/mm/transparent_hugepage/enabled
|
||||
$ echo 'madvise' | sudo tee /sys/kernel/mm/transparent_hugepage/enabled
|
||||
```
|
||||
|
||||
Use `perf top` to watch the time spent in the kernel for memory management.
|
||||
|
||||
@ -7,7 +7,7 @@ toc_title: Tuple(T1, T2, ...)
|
||||
|
||||
A tuple of elements, each having an individual [type](../../sql-reference/data-types/index.md#data_types).
|
||||
|
||||
Tuples are used for temporary column grouping. Columns can be grouped when an IN expression is used in a query, and for specifying certain formal parameters of lambda functions. For more information, see the sections [IN operators](../../sql-reference/operators/in.md) and [Higher order functions](../../sql-reference/functions/higher-order-functions.md).
|
||||
Tuples are used for temporary column grouping. Columns can be grouped when an IN expression is used in a query, and for specifying certain formal parameters of lambda functions. For more information, see the sections [IN operators](../../sql-reference/operators/in.md) and [Higher order functions](../../sql-reference/functions/index.md#higher-order-functions).
|
||||
|
||||
Tuples can be the result of a query. In this case, for text formats other than JSON, values are comma-separated in brackets. In JSON formats, tuples are output as arrays (in square brackets).
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
toc_priority: 35
|
||||
toc_priority: 34
|
||||
toc_title: Arithmetic
|
||||
---
|
||||
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
---
|
||||
toc_priority: 46
|
||||
toc_priority: 35
|
||||
toc_title: Arrays
|
||||
---
|
||||
|
||||
# Functions for Working with Arrays {#functions-for-working-with-arrays}
|
||||
# Array Functions {#functions-for-working-with-arrays}
|
||||
|
||||
## empty {#function-empty}
|
||||
|
||||
@ -241,6 +241,12 @@ SELECT indexOf([1, 3, NULL, NULL], NULL)
|
||||
|
||||
Elements set to `NULL` are handled as normal values.
|
||||
|
||||
## arrayCount(\[func,\] arr1, …) {#array-count}
|
||||
|
||||
Returns the number of elements in the arr array for which func returns something other than 0. If ‘func’ is not specified, it returns the number of non-zero elements in the array.
|
||||
|
||||
Note that the `arrayCount` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## countEqual(arr, x) {#countequalarr-x}
|
||||
|
||||
Returns the number of elements in the array equal to x. Equivalent to arrayCount (elem -\> elem = x, arr).
|
||||
@ -568,7 +574,7 @@ SELECT arraySort([1, nan, 2, NULL, 3, nan, -4, NULL, inf, -inf]);
|
||||
- `NaN` values are right before `NULL`.
|
||||
- `Inf` values are right before `NaN`.
|
||||
|
||||
Note that `arraySort` is a [higher-order function](../../sql-reference/functions/higher-order-functions.md). You can pass a lambda function to it as the first argument. In this case, sorting order is determined by the result of the lambda function applied to the elements of the array.
|
||||
Note that `arraySort` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument. In this case, sorting order is determined by the result of the lambda function applied to the elements of the array.
|
||||
|
||||
Let’s consider the following example:
|
||||
|
||||
@ -668,7 +674,7 @@ SELECT arrayReverseSort([1, nan, 2, NULL, 3, nan, -4, NULL, inf, -inf]) as res;
|
||||
- `NaN` values are right before `NULL`.
|
||||
- `-Inf` values are right before `NaN`.
|
||||
|
||||
Note that the `arrayReverseSort` is a [higher-order function](../../sql-reference/functions/higher-order-functions.md). You can pass a lambda function to it as the first argument. Example is shown below.
|
||||
Note that the `arrayReverseSort` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument. Example is shown below.
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSort((x) -> -x, [1, 2, 3]) as res;
|
||||
@ -1120,7 +1126,205 @@ Result:
|
||||
``` text
|
||||
┌─arrayAUC([0.1, 0.4, 0.35, 0.8], [0, 0, 1, 1])─┐
|
||||
│ 0.75 │
|
||||
└────────────────────────────────────────---──┘
|
||||
└───────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## arrayMap(func, arr1, …) {#array-map}
|
||||
|
||||
Returns an array obtained from the original application of the `func` function to each element in the `arr` array.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap(x -> (x + 2), [1, 2, 3]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────┐
|
||||
│ [3,4,5] │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
The following example shows how to create a tuple of elements from different arrays:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap((x, y) -> (x, y), [1, 2, 3], [4, 5, 6]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────────┐
|
||||
│ [(1,4),(2,5),(3,6)] │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayMap` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayFilter(func, arr1, …) {#array-filter}
|
||||
|
||||
Returns an array containing only the elements in `arr1` for which `func` returns something other than 0.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFilter(x -> x LIKE '%World%', ['Hello', 'abc World']) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────┐
|
||||
│ ['abc World'] │
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT
|
||||
arrayFilter(
|
||||
(i, x) -> x LIKE '%World%',
|
||||
arrayEnumerate(arr),
|
||||
['Hello', 'abc World'] AS arr)
|
||||
AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─┐
|
||||
│ [2] │
|
||||
└─────┘
|
||||
```
|
||||
|
||||
Note that the `arrayFilter` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayFill(func, arr1, …) {#array-fill}
|
||||
|
||||
Scan through `arr1` from the first element to the last element and replace `arr1[i]` by `arr1[i - 1]` if `func` returns 0. The first element of `arr1` will not be replaced.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFill(x -> not isNull(x), [1, null, 3, 11, 12, null, null, 5, 6, 14, null, null]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────────────────────────┐
|
||||
│ [1,1,3,11,12,12,12,5,6,14,14,14] │
|
||||
└──────────────────────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayFill` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayReverseFill(func, arr1, …) {#array-reverse-fill}
|
||||
|
||||
Scan through `arr1` from the last element to the first element and replace `arr1[i]` by `arr1[i + 1]` if `func` returns 0. The last element of `arr1` will not be replaced.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseFill(x -> not isNull(x), [1, null, 3, 11, 12, null, null, 5, 6, 14, null, null]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res────────────────────────────────┐
|
||||
│ [1,3,3,11,12,5,5,5,6,14,NULL,NULL] │
|
||||
└────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayReverseFilter` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arraySplit(func, arr1, …) {#array-split}
|
||||
|
||||
Split `arr1` into multiple arrays. When `func` returns something other than 0, the array will be split on the left hand side of the element. The array will not be split before the first element.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arraySplit((x, y) -> y, [1, 2, 3, 4, 5], [1, 0, 0, 1, 0]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────┐
|
||||
│ [[1,2,3],[4,5]] │
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arraySplit` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayReverseSplit(func, arr1, …) {#array-reverse-split}
|
||||
|
||||
Split `arr1` into multiple arrays. When `func` returns something other than 0, the array will be split on the right hand side of the element. The array will not be split after the last element.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSplit((x, y) -> y, [1, 2, 3, 4, 5], [1, 0, 0, 1, 0]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────────┐
|
||||
│ [[1],[2,3,4],[5]] │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayReverseSplit` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayExists(\[func,\] arr1, …) {#arrayexistsfunc-arr1}
|
||||
|
||||
Returns 1 if there is at least one element in `arr` for which `func` returns something other than 0. Otherwise, it returns 0.
|
||||
|
||||
Note that the `arrayExists` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## arrayAll(\[func,\] arr1, …) {#arrayallfunc-arr1}
|
||||
|
||||
Returns 1 if `func` returns something other than 0 for all the elements in `arr`. Otherwise, it returns 0.
|
||||
|
||||
Note that the `arrayAll` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## arrayFirst(func, arr1, …) {#array-first}
|
||||
|
||||
Returns the first element in the `arr1` array for which `func` returns something other than 0.
|
||||
|
||||
Note that the `arrayFirst` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arrayFirstIndex(func, arr1, …) {#array-first-index}
|
||||
|
||||
Returns the index of the first element in the `arr1` array for which `func` returns something other than 0.
|
||||
|
||||
Note that the `arrayFirstIndex` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You must pass a lambda function to it as the first argument, and it can’t be omitted.
|
||||
|
||||
## arraySum(\[func,\] arr1, …) {#array-sum}
|
||||
|
||||
Returns the sum of the `func` values. If the function is omitted, it just returns the sum of the array elements.
|
||||
|
||||
Note that the `arraySum` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## arrayCumSum(\[func,\] arr1, …) {#arraycumsumfunc-arr1}
|
||||
|
||||
Returns an array of partial sums of elements in the source array (a running sum). If the `func` function is specified, then the values of the array elements are converted by this function before summing.
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSum([1, 1, 1, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────┐
|
||||
│ [1, 2, 3, 4] │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
Note that the `arrayCumSum` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
## arrayCumSumNonNegative(arr) {#arraycumsumnonnegativearr}
|
||||
|
||||
Same as `arrayCumSum`, returns an array of partial sums of elements in the source array (a running sum). Different `arrayCumSum`, when then returned value contains a value less than zero, the value is replace with zero and the subsequent calculation is performed with zero parameters. For example:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSumNonNegative([1, 1, -4, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────┐
|
||||
│ [1,2,0,1] │
|
||||
└───────────┘
|
||||
```
|
||||
Note that the `arraySumNonNegative` is a [higher-order function](../../sql-reference/functions/index.md#higher-order-functions). You can pass a lambda function to it as the first argument.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/functions/array_functions/) <!--hide-->
|
||||
|
||||
@ -3,6 +3,9 @@ toc_priority: 58
|
||||
toc_title: External Dictionaries
|
||||
---
|
||||
|
||||
!!! attention "Attention"
|
||||
`dict_name` parameter must be fully qualified for dictionaries created with DDL queries. Eg. `<database>.<dict_name>`.
|
||||
|
||||
# Functions for Working with External Dictionaries {#ext_dict_functions}
|
||||
|
||||
For information on connecting and configuring external dictionaries, see [External dictionaries](../../sql-reference/dictionaries/external-dictionaries/external-dicts.md).
|
||||
|
||||
@ -1,262 +0,0 @@
|
||||
---
|
||||
toc_priority: 57
|
||||
toc_title: Higher-Order
|
||||
---
|
||||
|
||||
# Higher-order Functions {#higher-order-functions}
|
||||
|
||||
## `->` operator, lambda(params, expr) function {#operator-lambdaparams-expr-function}
|
||||
|
||||
Allows describing a lambda function for passing to a higher-order function. The left side of the arrow has a formal parameter, which is any ID, or multiple formal parameters – any IDs in a tuple. The right side of the arrow has an expression that can use these formal parameters, as well as any table columns.
|
||||
|
||||
Examples: `x -> 2 * x, str -> str != Referer.`
|
||||
|
||||
Higher-order functions can only accept lambda functions as their functional argument.
|
||||
|
||||
A lambda function that accepts multiple arguments can be passed to a higher-order function. In this case, the higher-order function is passed several arrays of identical length that these arguments will correspond to.
|
||||
|
||||
For some functions, such as [arrayCount](#higher_order_functions-array-count) or [arraySum](#higher_order_functions-array-count), the first argument (the lambda function) can be omitted. In this case, identical mapping is assumed.
|
||||
|
||||
A lambda function can’t be omitted for the following functions:
|
||||
|
||||
- [arrayMap](#higher_order_functions-array-map)
|
||||
- [arrayFilter](#higher_order_functions-array-filter)
|
||||
- [arrayFill](#higher_order_functions-array-fill)
|
||||
- [arrayReverseFill](#higher_order_functions-array-reverse-fill)
|
||||
- [arraySplit](#higher_order_functions-array-split)
|
||||
- [arrayReverseSplit](#higher_order_functions-array-reverse-split)
|
||||
- [arrayFirst](#higher_order_functions-array-first)
|
||||
- [arrayFirstIndex](#higher_order_functions-array-first-index)
|
||||
|
||||
### arrayMap(func, arr1, …) {#higher_order_functions-array-map}
|
||||
|
||||
Returns an array obtained from the original application of the `func` function to each element in the `arr` array.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap(x -> (x + 2), [1, 2, 3]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────┐
|
||||
│ [3,4,5] │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
The following example shows how to create a tuple of elements from different arrays:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap((x, y) -> (x, y), [1, 2, 3], [4, 5, 6]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────────┐
|
||||
│ [(1,4),(2,5),(3,6)] │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayMap` function.
|
||||
|
||||
### arrayFilter(func, arr1, …) {#higher_order_functions-array-filter}
|
||||
|
||||
Returns an array containing only the elements in `arr1` for which `func` returns something other than 0.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFilter(x -> x LIKE '%World%', ['Hello', 'abc World']) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────┐
|
||||
│ ['abc World'] │
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT
|
||||
arrayFilter(
|
||||
(i, x) -> x LIKE '%World%',
|
||||
arrayEnumerate(arr),
|
||||
['Hello', 'abc World'] AS arr)
|
||||
AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─┐
|
||||
│ [2] │
|
||||
└─────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayFilter` function.
|
||||
|
||||
### arrayFill(func, arr1, …) {#higher_order_functions-array-fill}
|
||||
|
||||
Scan through `arr1` from the first element to the last element and replace `arr1[i]` by `arr1[i - 1]` if `func` returns 0. The first element of `arr1` will not be replaced.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFill(x -> not isNull(x), [1, null, 3, 11, 12, null, null, 5, 6, 14, null, null]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────────────────────────┐
|
||||
│ [1,1,3,11,12,12,12,5,6,14,14,14] │
|
||||
└──────────────────────────────────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayFill` function.
|
||||
|
||||
### arrayReverseFill(func, arr1, …) {#higher_order_functions-array-reverse-fill}
|
||||
|
||||
Scan through `arr1` from the last element to the first element and replace `arr1[i]` by `arr1[i + 1]` if `func` returns 0. The last element of `arr1` will not be replaced.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseFill(x -> not isNull(x), [1, null, 3, 11, 12, null, null, 5, 6, 14, null, null]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res────────────────────────────────┐
|
||||
│ [1,3,3,11,12,5,5,5,6,14,NULL,NULL] │
|
||||
└────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayReverseFill` function.
|
||||
|
||||
### arraySplit(func, arr1, …) {#higher_order_functions-array-split}
|
||||
|
||||
Split `arr1` into multiple arrays. When `func` returns something other than 0, the array will be split on the left hand side of the element. The array will not be split before the first element.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arraySplit((x, y) -> y, [1, 2, 3, 4, 5], [1, 0, 0, 1, 0]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────┐
|
||||
│ [[1,2,3],[4,5]] │
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arraySplit` function.
|
||||
|
||||
### arrayReverseSplit(func, arr1, …) {#higher_order_functions-array-reverse-split}
|
||||
|
||||
Split `arr1` into multiple arrays. When `func` returns something other than 0, the array will be split on the right hand side of the element. The array will not be split after the last element.
|
||||
|
||||
Examples:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSplit((x, y) -> y, [1, 2, 3, 4, 5], [1, 0, 0, 1, 0]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────────┐
|
||||
│ [[1],[2,3,4],[5]] │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arraySplit` function.
|
||||
|
||||
### arrayCount(\[func,\] arr1, …) {#higher_order_functions-array-count}
|
||||
|
||||
Returns the number of elements in the arr array for which func returns something other than 0. If ‘func’ is not specified, it returns the number of non-zero elements in the array.
|
||||
|
||||
### arrayExists(\[func,\] arr1, …) {#arrayexistsfunc-arr1}
|
||||
|
||||
Returns 1 if there is at least one element in ‘arr’ for which ‘func’ returns something other than 0. Otherwise, it returns 0.
|
||||
|
||||
### arrayAll(\[func,\] arr1, …) {#arrayallfunc-arr1}
|
||||
|
||||
Returns 1 if ‘func’ returns something other than 0 for all the elements in ‘arr’. Otherwise, it returns 0.
|
||||
|
||||
### arraySum(\[func,\] arr1, …) {#higher-order-functions-array-sum}
|
||||
|
||||
Returns the sum of the ‘func’ values. If the function is omitted, it just returns the sum of the array elements.
|
||||
|
||||
### arrayFirst(func, arr1, …) {#higher_order_functions-array-first}
|
||||
|
||||
Returns the first element in the ‘arr1’ array for which ‘func’ returns something other than 0.
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayFirst` function.
|
||||
|
||||
### arrayFirstIndex(func, arr1, …) {#higher_order_functions-array-first-index}
|
||||
|
||||
Returns the index of the first element in the ‘arr1’ array for which ‘func’ returns something other than 0.
|
||||
|
||||
Note that the first argument (lambda function) can’t be omitted in the `arrayFirstIndex` function.
|
||||
|
||||
### arrayCumSum(\[func,\] arr1, …) {#arraycumsumfunc-arr1}
|
||||
|
||||
Returns an array of partial sums of elements in the source array (a running sum). If the `func` function is specified, then the values of the array elements are converted by this function before summing.
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSum([1, 1, 1, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────┐
|
||||
│ [1, 2, 3, 4] │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
### arrayCumSumNonNegative(arr) {#arraycumsumnonnegativearr}
|
||||
|
||||
Same as `arrayCumSum`, returns an array of partial sums of elements in the source array (a running sum). Different `arrayCumSum`, when then returned value contains a value less than zero, the value is replace with zero and the subsequent calculation is performed with zero parameters. For example:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSumNonNegative([1, 1, -4, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────┐
|
||||
│ [1,2,0,1] │
|
||||
└───────────┘
|
||||
```
|
||||
|
||||
### arraySort(\[func,\] arr1, …) {#arraysortfunc-arr1}
|
||||
|
||||
Returns an array as result of sorting the elements of `arr1` in ascending order. If the `func` function is specified, sorting order is determined by the result of the function `func` applied to the elements of array (arrays)
|
||||
|
||||
The [Schwartzian transform](https://en.wikipedia.org/wiki/Schwartzian_transform) is used to improve sorting efficiency.
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
SELECT arraySort((x, y) -> y, ['hello', 'world'], [2, 1]);
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res────────────────┐
|
||||
│ ['world', 'hello'] │
|
||||
└────────────────────┘
|
||||
```
|
||||
|
||||
For more information about the `arraySort` method, see the [Functions for Working With Arrays](../../sql-reference/functions/array-functions.md#array_functions-sort) section.
|
||||
|
||||
### arrayReverseSort(\[func,\] arr1, …) {#arrayreversesortfunc-arr1}
|
||||
|
||||
Returns an array as result of sorting the elements of `arr1` in descending order. If the `func` function is specified, sorting order is determined by the result of the function `func` applied to the elements of array (arrays).
|
||||
|
||||
Example:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSort((x, y) -> y, ['hello', 'world'], [2, 1]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────────┐
|
||||
│ ['hello','world'] │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
For more information about the `arrayReverseSort` method, see the [Functions for Working With Arrays](../../sql-reference/functions/array-functions.md#array_functions-reverse-sort) section.
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/functions/higher_order_functions/) <!--hide-->
|
||||
@ -44,6 +44,21 @@ Functions have the following behaviors:
|
||||
|
||||
Functions can’t change the values of their arguments – any changes are returned as the result. Thus, the result of calculating separate functions does not depend on the order in which the functions are written in the query.
|
||||
|
||||
## Higher-order functions, `->` operator and lambda(params, expr) function {#higher-order-functions}
|
||||
|
||||
Higher-order functions can only accept lambda functions as their functional argument. To pass a lambda function to a higher-order function use `->` operator. The left side of the arrow has a formal parameter, which is any ID, or multiple formal parameters – any IDs in a tuple. The right side of the arrow has an expression that can use these formal parameters, as well as any table columns.
|
||||
|
||||
Examples:
|
||||
|
||||
```
|
||||
x -> 2 * x
|
||||
str -> str != Referer
|
||||
```
|
||||
|
||||
A lambda function that accepts multiple arguments can also be passed to a higher-order function. In this case, the higher-order function is passed several arrays of identical length that these arguments will correspond to.
|
||||
|
||||
For some functions the first argument (the lambda function) can be omitted. In this case, identical mapping is assumed.
|
||||
|
||||
## Error Handling {#error-handling}
|
||||
|
||||
Some functions might throw an exception if the data is invalid. In this case, the query is canceled and an error text is returned to the client. For distributed processing, when an exception occurs on one of the servers, the other servers also attempt to abort the query.
|
||||
|
||||
@ -98,7 +98,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
The [arrayMap](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-map) function allows to process each individual element of the `trace` array by the `addressToLine` function. The result of this processing you see in the `trace_source_code_lines` column of output.
|
||||
The [arrayMap](../../sql-reference/functions/array-functions.md#array-map) function allows to process each individual element of the `trace` array by the `addressToLine` function. The result of this processing you see in the `trace_source_code_lines` column of output.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
@ -184,7 +184,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
The [arrayMap](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-map) function allows to process each individual element of the `trace` array by the `addressToSymbols` function. The result of this processing you see in the `trace_symbols` column of output.
|
||||
The [arrayMap](../../sql-reference/functions/array-functions.md#array-map) function allows to process each individual element of the `trace` array by the `addressToSymbols` function. The result of this processing you see in the `trace_symbols` column of output.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
@ -281,7 +281,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
The [arrayMap](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-map) function allows to process each individual element of the `trace` array by the `demangle` function. The result of this processing you see in the `trace_functions` column of output.
|
||||
The [arrayMap](../../sql-reference/functions/array-functions.md#array-map) function allows to process each individual element of the `trace` array by the `demangle` function. The result of this processing you see in the `trace_functions` column of output.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
|
||||
@ -10,7 +10,7 @@ Changes settings profiles.
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
ALTER SETTINGS PROFILE [IF EXISTS] name [ON CLUSTER cluster_name]
|
||||
ALTER SETTINGS PROFILE [IF EXISTS] TO name [ON CLUSTER cluster_name]
|
||||
[RENAME TO new_name]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | INHERIT 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
@ -10,7 +10,7 @@ Creates a [settings profile](../../../operations/access-rights.md#settings-profi
|
||||
Syntax:
|
||||
|
||||
``` sql
|
||||
CREATE SETTINGS PROFILE [IF NOT EXISTS | OR REPLACE] name [ON CLUSTER cluster_name]
|
||||
CREATE SETTINGS PROFILE [IF NOT EXISTS | OR REPLACE] TO name [ON CLUSTER cluster_name]
|
||||
[SETTINGS variable [= value] [MIN [=] min_value] [MAX [=] max_value] [READONLY|WRITABLE] | INHERIT 'profile_name'] [,...]
|
||||
```
|
||||
|
||||
|
||||
@ -148,7 +148,7 @@ SHOW CREATE [ROW] POLICY name ON [database.]table
|
||||
|
||||
Shows parameters that were used at a [quota creation](../../sql-reference/statements/create/quota.md).
|
||||
|
||||
### Syntax {#show-create-row-policy-syntax}
|
||||
### Syntax {#show-create-quota-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW CREATE QUOTA [name | CURRENT]
|
||||
@ -158,10 +158,70 @@ SHOW CREATE QUOTA [name | CURRENT]
|
||||
|
||||
Shows parameters that were used at a [settings profile creation](../../sql-reference/statements/create/settings-profile.md).
|
||||
|
||||
### Syntax {#show-create-row-policy-syntax}
|
||||
### Syntax {#show-create-settings-profile-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW CREATE [SETTINGS] PROFILE name
|
||||
```
|
||||
|
||||
## SHOW USERS {#show-users-statement}
|
||||
|
||||
Returns a list of [user account](../../operations/access-rights.md#user-account-management) names. To view user accounts parameters, see the system table [system.users](../../operations/system-tables/users.md#system_tables-users).
|
||||
|
||||
### Syntax {#show-users-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW USERS
|
||||
```
|
||||
|
||||
## SHOW ROLES {#show-roles-statement}
|
||||
|
||||
Returns a list of [roles](../../operations/access-rights.md#role-management). To view another parameters, see system tables [system.roles](../../operations/system-tables/roles.md#system_tables-roles) and [system.role-grants](../../operations/system-tables/role-grants.md#system_tables-role_grants).
|
||||
|
||||
### Syntax {#show-roles-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [CURRENT|ENABLED] ROLES
|
||||
```
|
||||
|
||||
## SHOW PROFILES {#show-profiles-statement}
|
||||
|
||||
Returns a list of [setting profiles](../../operations/access-rights.md#settings-profiles-management). To view user accounts parameters, see the system table [settings_profiles](../../operations/system-tables/settings_profiles.md#system_tables-settings_profiles).
|
||||
|
||||
### Syntax {#show-profiles-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [SETTINGS] PROFILES
|
||||
```
|
||||
|
||||
## SHOW POLICIES {#show-policies-statement}
|
||||
|
||||
Returns a list of [row policies](../../operations/access-rights.md#row-policy-management) for the specified table. To view user accounts parameters, see the system table [system.row_policies](../../operations/system-tables/row_policies.md#system_tables-row_policies).
|
||||
|
||||
### Syntax {#show-policies-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [ROW] POLICIES [ON [db.]table]
|
||||
```
|
||||
|
||||
## SHOW QUOTAS {#show-quotas-statement}
|
||||
|
||||
Returns a list of [quotas](../../operations/access-rights.md#quotas-management). To view quotas parameters, see the system table [system.quotas](../../operations/system-tables/quotas.md#system_tables-quotas).
|
||||
|
||||
### Syntax {#show-quotas-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW QUOTAS
|
||||
```
|
||||
|
||||
## SHOW QUOTA {#show-quota-statement}
|
||||
|
||||
Returns a [quota](../../operations/quotas.md) consumption for all users or for current user. To view another parameters, see system tables [system.quotas_usage](../../operations/system-tables/quotas_usage.md#system_tables-quotas_usage) and [system.quota_usage](../../operations/system-tables/quota_usage.md#system_tables-quota_usage).
|
||||
|
||||
### Syntax {#show-quota-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [CURRENT] QUOTA
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/show/) <!--hide-->
|
||||
|
||||
@ -1,3 +1,8 @@
|
||||
---
|
||||
toc_priority: 30
|
||||
toc_title: MergeTree
|
||||
---
|
||||
|
||||
# MergeTree {#table_engines-mergetree}
|
||||
|
||||
Движок `MergeTree`, а также другие движки этого семейства (`*MergeTree`) — это наиболее функциональные движки таблиц ClickHouse.
|
||||
@ -28,8 +33,8 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
INDEX index_name1 expr1 TYPE type1(...) GRANULARITY value1,
|
||||
INDEX index_name2 expr2 TYPE type2(...) GRANULARITY value2
|
||||
) ENGINE = MergeTree()
|
||||
ORDER BY expr
|
||||
[PARTITION BY expr]
|
||||
[ORDER BY expr]
|
||||
[PRIMARY KEY expr]
|
||||
[SAMPLE BY expr]
|
||||
[TTL expr [DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'], ...]
|
||||
@ -38,27 +43,42 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
|
||||
Описание параметров смотрите в [описании запроса CREATE](../../../engines/table-engines/mergetree-family/mergetree.md).
|
||||
|
||||
!!! note "Note"
|
||||
!!! note "Примечание"
|
||||
`INDEX` — экспериментальная возможность, смотрите [Индексы пропуска данных](#table_engine-mergetree-data_skipping-indexes).
|
||||
|
||||
### Секции запроса {#mergetree-query-clauses}
|
||||
|
||||
- `ENGINE` — имя и параметры движка. `ENGINE = MergeTree()`. `MergeTree` не имеет параметров.
|
||||
|
||||
- `PARTITION BY` — [ключ партиционирования](custom-partitioning-key.md). Для партиционирования по месяцам используйте выражение `toYYYYMM(date_column)`, где `date_column` — столбец с датой типа [Date](../../../engines/table-engines/mergetree-family/mergetree.md). В этом случае имена партиций имеют формат `"YYYYMM"`.
|
||||
- `ORDER BY` — ключ сортировки.
|
||||
|
||||
Кортеж столбцов или произвольных выражений. Пример: `ORDER BY (CounterID, EventDate)`.
|
||||
|
||||
- `ORDER BY` — ключ сортировки. Кортеж столбцов или произвольных выражений. Пример: `ORDER BY (CounterID, EventDate)`.
|
||||
ClickHouse использует ключ сортировки в качестве первичного ключа, если первичный ключ не задан в секции `PRIMARY KEY`.
|
||||
|
||||
- `PRIMARY KEY` — первичный ключ, если он [отличается от ключа сортировки](#pervichnyi-kliuch-otlichnyi-ot-kliucha-sortirovki). По умолчанию первичный ключ совпадает с ключом сортировки (который задаётся секцией `ORDER BY`.) Поэтому в большинстве случаев секцию `PRIMARY KEY` отдельно указывать не нужно.
|
||||
Чтобы отключить сортировку, используйте синтаксис `ORDER BY tuple()`. Смотрите [выбор первичного ключа](#vybor-pervichnogo-kliucha).
|
||||
|
||||
- `SAMPLE BY` — выражение для сэмплирования. Если используется выражение для сэмплирования, то первичный ключ должен содержать его. Пример: `SAMPLE BY intHash32(UserID) ORDER BY (CounterID, EventDate, intHash32(UserID))`.
|
||||
- `PARTITION BY` — [ключ партиционирования](custom-partitioning-key.md). Необязательный параметр.
|
||||
|
||||
- `TTL` — список правил, определяющих длительности хранения строк, а также задающих правила перемещения частей на определённые тома или диски. Выражение должно возвращать столбец `Date` или `DateTime`. Пример: `TTL date + INTERVAL 1 DAY`.
|
||||
- Тип правила `DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'` указывает действие, которое будет выполнено с частью, удаление строк (прореживание), перемещение (при выполнении условия для всех строк части) на определённый диск (`TO DISK 'xxx'`) или том (`TO VOLUME 'xxx'`).
|
||||
- Поведение по умолчанию соответствует удалению строк (`DELETE`). В списке правил может быть указано только одно выражение с поведением `DELETE`.
|
||||
- Дополнительные сведения смотрите в разделе [TTL для столбцов и таблиц](#table_engine-mergetree-ttl)
|
||||
Для партиционирования по месяцам используйте выражение `toYYYYMM(date_column)`, где `date_column` — столбец с датой типа [Date](../../../engines/table-engines/mergetree-family/mergetree.md). В этом случае имена партиций имеют формат `"YYYYMM"`.
|
||||
|
||||
- `SETTINGS` — дополнительные параметры, регулирующие поведение `MergeTree`:
|
||||
- `PRIMARY KEY` — первичный ключ, если он [отличается от ключа сортировки](#pervichnyi-kliuch-otlichnyi-ot-kliucha-sortirovki). Необязательный параметр.
|
||||
|
||||
По умолчанию первичный ключ совпадает с ключом сортировки (который задаётся секцией `ORDER BY`.) Поэтому в большинстве случаев секцию `PRIMARY KEY` отдельно указывать не нужно.
|
||||
|
||||
- `SAMPLE BY` — выражение для сэмплирования. Необязательный параметр.
|
||||
|
||||
Если используется выражение для сэмплирования, то первичный ключ должен содержать его. Пример: `SAMPLE BY intHash32(UserID) ORDER BY (CounterID, EventDate, intHash32(UserID))`.
|
||||
|
||||
- `TTL` — список правил, определяющих длительности хранения строк, а также задающих правила перемещения частей на определённые тома или диски. Необязательный параметр.
|
||||
|
||||
Выражение должно возвращать столбец `Date` или `DateTime`. Пример: `TTL date + INTERVAL 1 DAY`.
|
||||
|
||||
Тип правила `DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'` указывает действие, которое будет выполнено с частью, удаление строк (прореживание), перемещение (при выполнении условия для всех строк части) на определённый диск (`TO DISK 'xxx'`) или том (`TO VOLUME 'xxx'`). Поведение по умолчанию соответствует удалению строк (`DELETE`). В списке правил может быть указано только одно выражение с поведением `DELETE`.
|
||||
|
||||
Дополнительные сведения смотрите в разделе [TTL для столбцов и таблиц](#table_engine-mergetree-ttl)
|
||||
|
||||
- `SETTINGS` — дополнительные параметры, регулирующие поведение `MergeTree` (необязательные):
|
||||
|
||||
- `index_granularity` — максимальное количество строк данных между засечками индекса. По умолчанию — 8192. Смотрите [Хранение данных](#mergetree-data-storage).
|
||||
- `index_granularity_bytes` — максимальный размер гранул данных в байтах. По умолчанию — 10Mb. Чтобы ограничить размер гранул только количеством строк, установите значение 0 (не рекомендовано). Смотрите [Хранение данных](#mergetree-data-storage).
|
||||
@ -180,6 +200,14 @@ ClickHouse не требует уникального первичного кл
|
||||
|
||||
Длинный первичный ключ будет негативно влиять на производительность вставки и потребление памяти, однако на производительность ClickHouse при запросах `SELECT` лишние столбцы в первичном ключе не влияют.
|
||||
|
||||
Вы можете создать таблицу без первичного ключа, используя синтаксис `ORDER BY tuple()`. В этом случае ClickHouse хранит данные в порядке вставки. Если вы хотите сохранить порядок данных при вставке данных с помощью запросов `INSERT ... SELECT`, установите [max\_insert\_threads = 1](../../../operations/settings/settings.md#settings-max-insert-threads).
|
||||
|
||||
Чтобы выбрать данные в первоначальном порядке, используйте
|
||||
[однопоточные](../../../operations/settings/settings.md#settings-max_threads) запросы `SELECT.
|
||||
|
||||
|
||||
|
||||
|
||||
### Первичный ключ, отличный от ключа сортировки {#pervichnyi-kliuch-otlichnyi-ot-kliucha-sortirovki}
|
||||
|
||||
Существует возможность задать первичный ключ (выражение, значения которого будут записаны в индексный файл для
|
||||
|
||||
4
docs/ru/interfaces/third-party/gui.md
vendored
4
docs/ru/interfaces/third-party/gui.md
vendored
@ -93,6 +93,10 @@
|
||||
|
||||
[cickhouse-plantuml](https://pypi.org/project/clickhouse-plantuml/) — скрипт, генерирующий [PlantUML](https://plantuml.com/) диаграммы схем таблиц.
|
||||
|
||||
### xeus-clickhouse {#xeus-clickhouse}
|
||||
|
||||
[xeus-clickhouse](https://github.com/wangfenjin/xeus-clickhouse) — это ядро Jupyter для ClickHouse, которое поддерживает запрос ClickHouse-данных с использованием SQL в Jupyter.
|
||||
|
||||
## Коммерческие {#kommercheskie}
|
||||
|
||||
### DataGrip {#datagrip}
|
||||
|
||||
@ -7,10 +7,38 @@ toc_title: Системные таблицы
|
||||
|
||||
## Введение {#system-tables-introduction}
|
||||
|
||||
Системные таблицы используются для реализации части функциональности системы, а также предоставляют доступ к информации о работе системы.
|
||||
Вы не можете удалить системную таблицу (хотя можете сделать DETACH).
|
||||
Для системных таблиц нет файлов с данными на диске и файлов с метаданными. Сервер создаёт все системные таблицы при старте.
|
||||
В системные таблицы нельзя записывать данные - можно только читать.
|
||||
Системные таблицы расположены в базе данных system.
|
||||
Системные таблицы содержат информацию о:
|
||||
|
||||
- Состоянии сервера, процессов и окружении.
|
||||
- Внутренних процессах сервера.
|
||||
|
||||
Системные таблицы:
|
||||
|
||||
- Находятся в базе данных `system`.
|
||||
- Доступны только для чтения данных.
|
||||
- Не могут быть удалены или изменены, но их можно отсоединить.
|
||||
|
||||
Системные таблицы `metric_log`, `query_log`, `query_thread_log`, `trace_log` системные таблицы хранят данные в файловой системе. Остальные системные таблицы хранят свои данные в оперативной памяти. Сервер ClickHouse создает такие системные таблицы при запуске.
|
||||
|
||||
### Источники системных показателей
|
||||
|
||||
Для сбора системных показателей сервер ClickHouse использует:
|
||||
|
||||
- Возможности `CAP_NET_ADMIN`.
|
||||
- [procfs](https://ru.wikipedia.org/wiki/Procfs) (только Linux).
|
||||
|
||||
**procfs**
|
||||
|
||||
Если для сервера ClickHouse не включено `CAP_NET_ADMIN`, он пытается обратиться к `ProcfsMetricsProvider`. `ProcfsMetricsProvider` позволяет собирать системные показатели для каждого запроса (для CPU и I/O).
|
||||
|
||||
Если procfs поддерживается и включена в системе, то сервер ClickHouse собирает следующие системные показатели:
|
||||
|
||||
- `OSCPUVirtualTimeMicroseconds`
|
||||
- `OSCPUWaitMicroseconds`
|
||||
- `OSIOWaitMicroseconds`
|
||||
- `OSReadChars`
|
||||
- `OSWriteChars`
|
||||
- `OSReadBytes`
|
||||
- `OSWriteBytes`
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system-tables/) <!--hide-->
|
||||
|
||||
@ -24,4 +24,8 @@
|
||||
- `execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Общее время выполнения запроса, в секундах.
|
||||
- `max_execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Максимальное время выполнения запроса.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW QUOTA](../../sql-reference/statements/show.md#show-quota-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/quota_usage) <!--hide-->
|
||||
|
||||
@ -21,5 +21,9 @@
|
||||
- `apply_to_list` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Список имен пользователей/[ролей](../../operations/access-rights.md#role-management) к которым применяется квота.
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Список имен пользователей/ролей к которым квота применяться не должна.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW QUOTAS](../../sql-reference/statements/show.md#show-quotas-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/quotas) <!--hide-->
|
||||
|
||||
|
||||
@ -25,4 +25,8 @@
|
||||
- `execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Общее время выполнения запроса, в секундах.
|
||||
- `max_execution_time` ([Nullable](../../sql-reference/data-types/nullable.md)([Float64](../../sql-reference/data-types/float.md))) — Максимальное время выполнения запроса.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW QUOTA](../../sql-reference/statements/show.md#show-quota-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/quotas_usage) <!--hide-->
|
||||
|
||||
@ -5,7 +5,13 @@
|
||||
Столбцы:
|
||||
|
||||
- `name` ([String](../../sql-reference/data-types/string.md)) — Имя роли.
|
||||
|
||||
- `id` ([UUID](../../sql-reference/data-types/uuid.md)) — ID роли.
|
||||
|
||||
- `storage` ([String](../../sql-reference/data-types/string.md)) — Путь к хранилищу ролей. Настраивается в параметре `access_control_path`.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW ROLES](../../sql-reference/statements/show.md#show-roles-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/roles) <!--hide-->
|
||||
|
||||
@ -27,4 +27,8 @@
|
||||
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Политики строк применяются ко всем ролям и/или пользователям, за исключением перечисленных.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW POLICIES](../../sql-reference/statements/show.md#show-policies-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/row_policies) <!--hide-->
|
||||
|
||||
@ -17,4 +17,8 @@
|
||||
|
||||
- `apply_to_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Профиль настроек применяется ко всем ролям и/или пользователям, за исключением перечисленных.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW PROFILES](../../sql-reference/statements/show.md#show-profiles-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/settings_profiles) <!--hide-->
|
||||
|
||||
@ -82,7 +82,7 @@ res: /lib/x86_64-linux-gnu/libc-2.27.so
|
||||
|
||||
- [Функции интроспекции](../../sql-reference/functions/introspection.md) — Что такое функции интроспекции и как их использовать.
|
||||
- [system.trace_log](../../operations/system-tables/trace_log.md#system_tables-trace_log) — Содержит трассировки стека, собранные профилировщиком выборочных запросов.
|
||||
- [arrayMap](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-map) — Описание и пример использования функции `arrayMap`.
|
||||
- [arrayFilter](../../sql-reference/functions/higher-order-functions.md#higher_order_functions-array-filter) — Описание и пример использования функции `arrayFilter`.
|
||||
- [arrayMap](../../sql-reference/functions/array-functions.md#array-map) — Описание и пример использования функции `arrayMap`.
|
||||
- [arrayFilter](../../sql-reference/functions/array-functions.md#array-filter) — Описание и пример использования функции `arrayFilter`.
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/stack_trace) <!--hide-->
|
||||
|
||||
@ -27,4 +27,8 @@
|
||||
|
||||
- `default_roles_except` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Все предоставленные роли задаются по умолчанию, за исключением перечисленных.
|
||||
|
||||
## Смотрите также {#see-also}
|
||||
|
||||
- [SHOW USERS](../../sql-reference/statements/show.md#show-users-statement)
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/users) <!--hide-->
|
||||
|
||||
@ -30,7 +30,7 @@ $ echo 0 | sudo tee /proc/sys/vm/overcommit_memory
|
||||
Механизм прозрачных huge pages нужно отключить. Он мешает работе аллокаторов памяти, что приводит к значительной деградации производительности.
|
||||
|
||||
``` bash
|
||||
$ echo 'never' | sudo tee /sys/kernel/mm/transparent_hugepage/enabled
|
||||
$ echo 'madvise' | sudo tee /sys/kernel/mm/transparent_hugepage/enabled
|
||||
```
|
||||
|
||||
С помощью `perf top` можно наблюдать за временем, проведенном в ядре операционной системы для управления памятью.
|
||||
|
||||
@ -9,6 +9,7 @@ The following aggregate functions are supported:
|
||||
- [`min`](../../sql-reference/aggregate-functions/reference/min.md#agg_function-min)
|
||||
- [`max`](../../sql-reference/aggregate-functions/reference/max.md#agg_function-max)
|
||||
- [`sum`](../../sql-reference/aggregate-functions/reference/sum.md#agg_function-sum)
|
||||
- [`sumWithOverflow`](../../sql-reference/aggregate-functions/reference/sumwithoverflow.md#sumwithoverflowx)
|
||||
- [`groupBitAnd`](../../sql-reference/aggregate-functions/reference/groupbitand.md#groupbitand)
|
||||
- [`groupBitOr`](../../sql-reference/aggregate-functions/reference/groupbitor.md#groupbitor)
|
||||
- [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor)
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
|
||||
Кортеж из элементов любого [типа](index.md#data_types). Элементы кортежа могут быть одного или разных типов.
|
||||
|
||||
Кортежи используются для временной группировки столбцов. Столбцы могут группироваться при использовании выражения IN в запросе, а также для указания нескольких формальных параметров лямбда-функций. Подробнее смотрите разделы [Операторы IN](../../sql-reference/data-types/tuple.md), [Функции высшего порядка](../../sql-reference/functions/higher-order-functions.md#higher-order-functions).
|
||||
Кортежи используются для временной группировки столбцов. Столбцы могут группироваться при использовании выражения IN в запросе, а также для указания нескольких формальных параметров лямбда-функций. Подробнее смотрите разделы [Операторы IN](../../sql-reference/data-types/tuple.md), [Функции высшего порядка](../../sql-reference/functions/index.md#higher-order-functions).
|
||||
|
||||
Кортежи могут быть результатом запроса. В этом случае, в текстовых форматах кроме JSON, значения выводятся в круглых скобках через запятую. В форматах JSON, кортежи выводятся в виде массивов (в квадратных скобках).
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
# Функции по работе с массивами {#funktsii-po-rabote-s-massivami}
|
||||
# Массивы {#functions-for-working-with-arrays}
|
||||
|
||||
## empty {#function-empty}
|
||||
|
||||
@ -186,6 +186,13 @@ SELECT indexOf([1, 3, NULL, NULL], NULL)
|
||||
|
||||
Элементы, равные `NULL`, обрабатываются как обычные значения.
|
||||
|
||||
## arrayCount(\[func,\] arr1, …) {#array-count}
|
||||
|
||||
Возвращает количество элементов массива `arr`, для которых функция `func` возвращает не 0. Если `func` не указана - возвращает количество ненулевых элементов массива.
|
||||
|
||||
Функция `arrayCount` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей можно передать лямбда-функцию.
|
||||
|
||||
|
||||
## countEqual(arr, x) {#countequalarr-x}
|
||||
|
||||
Возвращает количество элементов массива, равных x. Эквивалентно arrayCount(elem -\> elem = x, arr).
|
||||
@ -513,7 +520,7 @@ SELECT arraySort([1, nan, 2, NULL, 3, nan, -4, NULL, inf, -inf]);
|
||||
- Значения `NaN` идут перед `NULL`.
|
||||
- Значения `Inf` идут перед `NaN`.
|
||||
|
||||
Функция `arraySort` является [функцией высшего порядка](higher-order-functions.md) — в качестве первого аргумента ей можно передать лямбда-функцию. В этом случае порядок сортировки определяется результатом применения лямбда-функции на элементы массива.
|
||||
Функция `arraySort` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей можно передать лямбда-функцию. В этом случае порядок сортировки определяется результатом применения лямбда-функции на элементы массива.
|
||||
|
||||
Рассмотрим пример:
|
||||
|
||||
@ -613,7 +620,7 @@ SELECT arrayReverseSort([1, nan, 2, NULL, 3, nan, -4, NULL, inf, -inf]) as res;
|
||||
- Значения `NaN` идут перед `NULL`.
|
||||
- Значения `-Inf` идут перед `NaN`.
|
||||
|
||||
Функция `arrayReverseSort` является [функцией высшего порядка](higher-order-functions.md). Вы можете передать ей в качестве первого аргумента лямбда-функцию. Например:
|
||||
Функция `arrayReverseSort` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей можно передать лямбда-функцию. Например:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSort((x) -> -x, [1, 2, 3]) as res;
|
||||
@ -1036,6 +1043,116 @@ SELECT arrayZip(['a', 'b', 'c'], [5, 2, 1])
|
||||
└──────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## arrayMap(func, arr1, …) {#array-map}
|
||||
|
||||
Возвращает массив, полученный на основе результатов применения функции `func` к каждому элементу массива `arr`.
|
||||
|
||||
Примеры:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap(x -> (x + 2), [1, 2, 3]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────┐
|
||||
│ [3,4,5] │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
Следующий пример показывает, как создать кортежи из элементов разных массивов:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap((x, y) -> (x, y), [1, 2, 3], [4, 5, 6]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────────┐
|
||||
│ [(1,4),(2,5),(3,6)] │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
Функция `arrayMap` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей нужно передать лямбда-функцию, и этот аргумент не может быть опущен.
|
||||
|
||||
## arrayFilter(func, arr1, …) {#array-filter}
|
||||
|
||||
Возвращает массив, содержащий только те элементы массива `arr1`, для которых функция `func` возвращает не 0.
|
||||
|
||||
Примеры:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFilter(x -> x LIKE '%World%', ['Hello', 'abc World']) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────┐
|
||||
│ ['abc World'] │
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT
|
||||
arrayFilter(
|
||||
(i, x) -> x LIKE '%World%',
|
||||
arrayEnumerate(arr),
|
||||
['Hello', 'abc World'] AS arr)
|
||||
AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─┐
|
||||
│ [2] │
|
||||
└─────┘
|
||||
```
|
||||
|
||||
Функция `arrayFilter` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей нужно передать лямбда-функцию, и этот аргумент не может быть опущен.
|
||||
|
||||
## arrayExists(\[func,\] arr1, …) {#arrayexistsfunc-arr1}
|
||||
|
||||
Возвращает 1, если существует хотя бы один элемент массива `arr`, для которого функция func возвращает не 0. Иначе возвращает 0.
|
||||
|
||||
Функция `arrayExists` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) - в качестве первого аргумента ей можно передать лямбда-функцию.
|
||||
|
||||
## arrayAll(\[func,\] arr1, …) {#arrayallfunc-arr1}
|
||||
|
||||
Возвращает 1, если для всех элементов массива `arr`, функция `func` возвращает не 0. Иначе возвращает 0.
|
||||
|
||||
Функция `arrayAll` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) - в качестве первого аргумента ей можно передать лямбда-функцию.
|
||||
|
||||
## arrayFirst(func, arr1, …) {#array-first}
|
||||
|
||||
Возвращает первый элемент массива `arr1`, для которого функция func возвращает не 0.
|
||||
|
||||
Функция `arrayFirst` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей нужно передать лямбда-функцию, и этот аргумент не может быть опущен.
|
||||
|
||||
## arrayFirstIndex(func, arr1, …) {#array-first-index}
|
||||
|
||||
Возвращает индекс первого элемента массива `arr1`, для которого функция func возвращает не 0.
|
||||
|
||||
Функция `arrayFirstIndex` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) — в качестве первого аргумента ей нужно передать лямбда-функцию, и этот аргумент не может быть опущен.
|
||||
|
||||
## arraySum(\[func,\] arr1, …) {#array-sum}
|
||||
|
||||
Возвращает сумму значений функции `func`. Если функция не указана - просто возвращает сумму элементов массива.
|
||||
|
||||
Функция `arraySum` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) - в качестве первого аргумента ей можно передать лямбда-функцию.
|
||||
|
||||
## arrayCumSum(\[func,\] arr1, …) {#arraycumsumfunc-arr1}
|
||||
|
||||
Возвращает массив из частичных сумм элементов исходного массива (сумма с накоплением). Если указана функция `func`, то значения элементов массива преобразуются этой функцией перед суммированием.
|
||||
|
||||
Функция `arrayCumSum` является [функцией высшего порядка](../../sql-reference/functions/index.md#higher-order-functions) - в качестве первого аргумента ей можно передать лямбда-функцию.
|
||||
|
||||
Пример:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSum([1, 1, 1, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────┐
|
||||
│ [1, 2, 3, 4] │
|
||||
└──────────────┘
|
||||
|
||||
## arrayAUC {#arrayauc}
|
||||
|
||||
Вычисляет площадь под кривой.
|
||||
|
||||
@ -1,167 +0,0 @@
|
||||
# Функции высшего порядка {#higher-order-functions}
|
||||
|
||||
## Оператор `->`, функция lambda(params, expr) {#operator-funktsiia-lambdaparams-expr}
|
||||
|
||||
Позволяет описать лямбда-функцию для передачи в функцию высшего порядка. Слева от стрелочки стоит формальный параметр - произвольный идентификатор, или несколько формальных параметров - произвольные идентификаторы в кортеже. Справа от стрелочки стоит выражение, в котором могут использоваться эти формальные параметры, а также любые столбцы таблицы.
|
||||
|
||||
Примеры: `x -> 2 * x, str -> str != Referer.`
|
||||
|
||||
Функции высшего порядка, в качестве своего функционального аргумента могут принимать только лямбда-функции.
|
||||
|
||||
В функции высшего порядка может быть передана лямбда-функция, принимающая несколько аргументов. В этом случае, в функцию высшего порядка передаётся несколько массивов одинаковых длин, которым эти аргументы будут соответствовать.
|
||||
|
||||
Для некоторых функций, например [arrayCount](#higher_order_functions-array-count) или [arraySum](#higher_order_functions-array-sum), первый аргумент (лямбда-функция) может отсутствовать. В этом случае, подразумевается тождественное отображение.
|
||||
|
||||
Для функций, перечисленных ниже, лямбда-функцию должна быть указана всегда:
|
||||
|
||||
- [arrayMap](#higher_order_functions-array-map)
|
||||
- [arrayFilter](#higher_order_functions-array-filter)
|
||||
- [arrayFirst](#higher_order_functions-array-first)
|
||||
- [arrayFirstIndex](#higher_order_functions-array-first-index)
|
||||
|
||||
### arrayMap(func, arr1, …) {#higher_order_functions-array-map}
|
||||
|
||||
Вернуть массив, полученный на основе результатов применения функции `func` к каждому элементу массива `arr`.
|
||||
|
||||
Примеры:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap(x -> (x + 2), [1, 2, 3]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────┐
|
||||
│ [3,4,5] │
|
||||
└─────────┘
|
||||
```
|
||||
|
||||
Следующий пример показывает, как создать кортежи из элементов разных массивов:
|
||||
|
||||
``` sql
|
||||
SELECT arrayMap((x, y) -> (x, y), [1, 2, 3], [4, 5, 6]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─────────────────┐
|
||||
│ [(1,4),(2,5),(3,6)] │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
Обратите внимание, что у функции `arrayMap` первый аргумент (лямбда-функция) не может быть опущен.
|
||||
|
||||
### arrayFilter(func, arr1, …) {#higher_order_functions-array-filter}
|
||||
|
||||
Вернуть массив, содержащий только те элементы массива `arr1`, для которых функция `func` возвращает не 0.
|
||||
|
||||
Примеры:
|
||||
|
||||
``` sql
|
||||
SELECT arrayFilter(x -> x LIKE '%World%', ['Hello', 'abc World']) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────┐
|
||||
│ ['abc World'] │
|
||||
└───────────────┘
|
||||
```
|
||||
|
||||
``` sql
|
||||
SELECT
|
||||
arrayFilter(
|
||||
(i, x) -> x LIKE '%World%',
|
||||
arrayEnumerate(arr),
|
||||
['Hello', 'abc World'] AS arr)
|
||||
AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res─┐
|
||||
│ [2] │
|
||||
└─────┘
|
||||
```
|
||||
|
||||
Обратите внимание, что у функции `arrayFilter` первый аргумент (лямбда-функция) не может быть опущен.
|
||||
|
||||
### arrayCount(\[func,\] arr1, …) {#higher_order_functions-array-count}
|
||||
|
||||
Вернуть количество элементов массива `arr`, для которых функция func возвращает не 0. Если func не указана - вернуть количество ненулевых элементов массива.
|
||||
|
||||
### arrayExists(\[func,\] arr1, …) {#arrayexistsfunc-arr1}
|
||||
|
||||
Вернуть 1, если существует хотя бы один элемент массива `arr`, для которого функция func возвращает не 0. Иначе вернуть 0.
|
||||
|
||||
### arrayAll(\[func,\] arr1, …) {#arrayallfunc-arr1}
|
||||
|
||||
Вернуть 1, если для всех элементов массива `arr`, функция `func` возвращает не 0. Иначе вернуть 0.
|
||||
|
||||
### arraySum(\[func,\] arr1, …) {#higher_order_functions-array-sum}
|
||||
|
||||
Вернуть сумму значений функции `func`. Если функция не указана - просто вернуть сумму элементов массива.
|
||||
|
||||
### arrayFirst(func, arr1, …) {#higher_order_functions-array-first}
|
||||
|
||||
Вернуть первый элемент массива `arr1`, для которого функция func возвращает не 0.
|
||||
|
||||
Обратите внимание, что у функции `arrayFirst` первый аргумент (лямбда-функция) не может быть опущен.
|
||||
|
||||
### arrayFirstIndex(func, arr1, …) {#higher_order_functions-array-first-index}
|
||||
|
||||
Вернуть индекс первого элемента массива `arr1`, для которого функция func возвращает не 0.
|
||||
|
||||
Обратите внимание, что у функции `arrayFirstFilter` первый аргумент (лямбда-функция) не может быть опущен.
|
||||
|
||||
### arrayCumSum(\[func,\] arr1, …) {#arraycumsumfunc-arr1}
|
||||
|
||||
Возвращает массив из частичных сумм элементов исходного массива (сумма с накоплением). Если указана функция `func`, то значения элементов массива преобразуются этой функцией перед суммированием.
|
||||
|
||||
Пример:
|
||||
|
||||
``` sql
|
||||
SELECT arrayCumSum([1, 1, 1, 1]) AS res
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res──────────┐
|
||||
│ [1, 2, 3, 4] │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
### arraySort(\[func,\] arr1, …) {#arraysortfunc-arr1}
|
||||
|
||||
Возвращает отсортированный в восходящем порядке массив `arr1`. Если задана функция `func`, то порядок сортировки определяется результатом применения функции `func` на элементы массива (массивов).
|
||||
|
||||
Для улучшения эффективности сортировки применяется [Преобразование Шварца](https://ru.wikipedia.org/wiki/%D0%9F%D1%80%D0%B5%D0%BE%D0%B1%D1%80%D0%B0%D0%B7%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D0%A8%D0%B2%D0%B0%D1%80%D1%86%D0%B0).
|
||||
|
||||
Пример:
|
||||
|
||||
``` sql
|
||||
SELECT arraySort((x, y) -> y, ['hello', 'world'], [2, 1]);
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res────────────────┐
|
||||
│ ['world', 'hello'] │
|
||||
└────────────────────┘
|
||||
```
|
||||
|
||||
Подробная информация о методе `arraySort` приведена в разделе [Функции по работе с массивами](array-functions.md#array_functions-sort).
|
||||
|
||||
### arrayReverseSort(\[func,\] arr1, …) {#arrayreversesortfunc-arr1}
|
||||
|
||||
Возвращает отсортированный в нисходящем порядке массив `arr1`. Если задана функция `func`, то порядок сортировки определяется результатом применения функции `func` на элементы массива (массивов).
|
||||
|
||||
Пример:
|
||||
|
||||
``` sql
|
||||
SELECT arrayReverseSort((x, y) -> y, ['hello', 'world'], [2, 1]) as res;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─res───────────────┐
|
||||
│ ['hello','world'] │
|
||||
└───────────────────┘
|
||||
```
|
||||
|
||||
Подробная информация о методе `arrayReverseSort` приведена в разделе [Функции по работе с массивами](array-functions.md#array_functions-reverse-sort).
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/query_language/functions/higher_order_functions/) <!--hide-->
|
||||
@ -38,6 +38,20 @@
|
||||
|
||||
Функции не могут поменять значения своих аргументов - любые изменения возвращаются в качестве результата. Соответственно, от порядка записи функций в запросе, результат вычислений отдельных функций не зависит.
|
||||
|
||||
## Функции высшего порядка, оператор `->` и функция lambda(params, expr) {#higher-order-functions}
|
||||
|
||||
Функции высшего порядка, в качестве своего функционального аргумента могут принимать только лямбда-функции. Чтобы передать лямбда-функцию в функцию высшего порядка, используйте оператор `->`. Слева от стрелочки стоит формальный параметр — произвольный идентификатор, или несколько формальных параметров — произвольные идентификаторы в кортеже. Справа от стрелочки стоит выражение, в котором могут использоваться эти формальные параметры, а также любые столбцы таблицы.
|
||||
|
||||
Примеры:
|
||||
```
|
||||
x -> 2 * x
|
||||
str -> str != Referer
|
||||
```
|
||||
|
||||
В функции высшего порядка может быть передана лямбда-функция, принимающая несколько аргументов. В этом случае в функцию высшего порядка передаётся несколько массивов одинаковой длины, которым эти аргументы будут соответствовать.
|
||||
|
||||
Для некоторых функций первый аргумент (лямбда-функция) может отсутствовать. В этом случае подразумевается тождественное отображение.
|
||||
|
||||
## Обработка ошибок {#obrabotka-oshibok}
|
||||
|
||||
Некоторые функции могут кидать исключения в случае ошибочных данных. В этом случае, выполнение запроса прерывается, и текст ошибки выводится клиенту. При распределённой обработке запроса, при возникновении исключения на одном из серверов, на другие серверы пытается отправиться просьба тоже прервать выполнение запроса.
|
||||
|
||||
@ -93,7 +93,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
Функция [arrayMap](higher-order-functions.md#higher_order_functions-array-map) позволяет обрабатывать каждый отдельный элемент массива `trace` с помощью функции `addressToLine`. Результат этой обработки вы видите в виде `trace_source_code_lines` колонки выходных данных.
|
||||
Функция [arrayMap](../../sql-reference/functions/array-functions.md#array-map) позволяет обрабатывать каждый отдельный элемент массива `trace` с помощью функции `addressToLine`. Результат этой обработки вы видите в виде `trace_source_code_lines` колонки выходных данных.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
@ -179,7 +179,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
То [arrayMap](higher-order-functions.md#higher_order_functions-array-map) функция позволяет обрабатывать каждый отдельный элемент системы. `trace` массив по типу `addressToSymbols` функция. Результат этой обработки вы видите в виде `trace_symbols` колонка выходных данных.
|
||||
То [arrayMap](../../sql-reference/functions/array-functions.md#array-map) функция позволяет обрабатывать каждый отдельный элемент системы. `trace` массив по типу `addressToSymbols` функция. Результат этой обработки вы видите в виде `trace_symbols` колонка выходных данных.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
@ -276,7 +276,7 @@ LIMIT 1
|
||||
\G
|
||||
```
|
||||
|
||||
Функция [arrayMap](higher-order-functions.md#higher_order_functions-array-map) позволяет обрабатывать каждый отдельный элемент массива `trace` с помощью функции `demangle`.
|
||||
Функция [arrayMap](../../sql-reference/functions/array-functions.md#array-map) позволяет обрабатывать каждый отдельный элемент массива `trace` с помощью функции `demangle`.
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
|
||||
@ -169,4 +169,65 @@ SHOW CREATE QUOTA [name | CURRENT]
|
||||
SHOW CREATE [SETTINGS] PROFILE name
|
||||
```
|
||||
|
||||
|
||||
## SHOW USERS {#show-users-statement}
|
||||
|
||||
Выводит список [пользовательских аккаунтов](../../operations/access-rights.md#user-account-management). Для просмотра параметров пользовательских аккаунтов, см. системную таблицу [system.users](../../operations/system-tables/users.md#system_tables-users).
|
||||
|
||||
### Синтаксис {#show-users-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW USERS
|
||||
```
|
||||
|
||||
## SHOW ROLES {#show-roles-statement}
|
||||
|
||||
Выводит список [ролей](../../operations/access-rights.md#role-management). Для просмотра параметров ролей, см. системные таблицы [system.roles](../../operations/system-tables/roles.md#system_tables-roles) и [system.role-grants](../../operations/system-tables/role-grants.md#system_tables-role_grants).
|
||||
|
||||
### Синтаксис {#show-roles-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [CURRENT|ENABLED] ROLES
|
||||
```
|
||||
|
||||
## SHOW PROFILES {#show-profiles-statement}
|
||||
|
||||
Выводит список [профилей настроек](../../operations/access-rights.md#settings-profiles-management). Для просмотра других параметров профилей настроек, см. системную таблицу [settings_profiles](../../operations/system-tables/settings_profiles.md#system_tables-settings_profiles).
|
||||
|
||||
### Синтаксис {#show-profiles-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [SETTINGS] PROFILES
|
||||
```
|
||||
|
||||
## SHOW POLICIES {#show-policies-statement}
|
||||
|
||||
Выводит список [политик доступа к строкам](../../operations/access-rights.md#row-policy-management) для указанной таблицы. Для просмотра других параметров, см. системную таблицу [system.row_policies](../../operations/system-tables/row_policies.md#system_tables-row_policies).
|
||||
|
||||
### Синтаксис {#show-policies-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [ROW] POLICIES [ON [db.]table]
|
||||
```
|
||||
|
||||
## SHOW QUOTAS {#show-quotas-statement}
|
||||
|
||||
Выводит список [квот](../../operations/access-rights.md#quotas-management). Для просмотра параметров квот, см. системную таблицу [system.quotas](../../operations/system-tables/quotas.md#system_tables-quotas).
|
||||
|
||||
### Синтаксис {#show-quotas-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW QUOTAS
|
||||
```
|
||||
|
||||
## SHOW QUOTA {#show-quota-statement}
|
||||
|
||||
Выводит потребление [квоты](../../operations/quotas.md) для всех пользователей или только для текущего пользователя. Для просмотра других параметров, см. системные таблицы [system.quotas_usage](../../operations/system-tables/quotas_usage.md#system_tables-quotas_usage) и [system.quota_usage](../../operations/system-tables/quota_usage.md#system_tables-quota_usage).
|
||||
|
||||
### Синтаксис {#show-quota-syntax}
|
||||
|
||||
``` sql
|
||||
SHOW [CURRENT] QUOTA
|
||||
```
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/query_language/show/) <!--hide-->
|
||||
|
||||
@ -1,6 +1,4 @@
|
||||
---
|
||||
machine_translated: true
|
||||
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
|
||||
toc_priority: 12
|
||||
toc_title: "\u6559\u7A0B"
|
||||
---
|
||||
@ -9,27 +7,27 @@ toc_title: "\u6559\u7A0B"
|
||||
|
||||
## 从本教程中可以期待什么？ {#what-to-expect-from-this-tutorial}
|
||||
|
||||
通过本教程，您将学习如何设置一个简单的ClickHouse集群。 它会很小，但容错和可扩展。 然后，我们将使用其中一个示例数据集来填充数据并执行一些演示查询。
|
||||
通过本教程，您将学习如何设置一个简单的ClickHouse集群。 它会很小，但却是容错和可扩展的。 然后，我们将使用其中一个示例数据集来填充数据并执行一些演示查询。
|
||||
|
||||
## 单节点设置 {#single-node-setup}
|
||||
|
||||
为了推迟分布式环境的复杂性，我们将首先在单个服务器或虚拟机上部署ClickHouse。 ClickHouse通常是从安装 [黛布](install.md#install-from-deb-packages) 或 [rpm](install.md#from-rpm-packages) 包，但也有 [替代办法](install.md#from-docker-image) 对于不支持它们的操作系统。
|
||||
为了推迟分布式环境的复杂性，我们将首先在单个服务器或虚拟机上部署ClickHouse。 ClickHouse通常是从[deb](install.md#install-from-deb-packages) 或 [rpm](install.md#from-rpm-packages) 包安装，但对于不支持它们的操作系统也有 [替代方法](install.md#from-docker-image) 。
|
||||
|
||||
例如，您选择了 `deb` 包和执行:
|
||||
例如，您选择了从 `deb` 包安装，执行:
|
||||
|
||||
``` bash
|
||||
{% include 'install/deb.sh' %}
|
||||
```
|
||||
|
||||
我们在安装的软件包中有什么:
|
||||
在我们安装的软件中包含这些包:
|
||||
|
||||
- `clickhouse-client` 包包含 [ﾂ环板clientｮﾂ嘉ｯﾂ偲](../interfaces/cli.md) 应用程序，交互式ClickHouse控制台客户端。
|
||||
- `clickhouse-common` 包包含一个ClickHouse可执行文件。
|
||||
- `clickhouse-server` 包包含要作为服务器运行ClickHouse的配置文件。
|
||||
- `clickhouse-client` 包，包含 [clickhouse-client](../interfaces/cli.md) 应用程序，它是交互式ClickHouse控制台客户端。
|
||||
- `clickhouse-common` 包，包含一个ClickHouse可执行文件。
|
||||
- `clickhouse-server` 包，包含要作为服务端运行的ClickHouse配置文件。
|
||||
|
||||
服务器配置文件位于 `/etc/clickhouse-server/`. 在进一步讨论之前，请注意 `<path>` 元素in `config.xml`. Path确定数据存储的位置，因此应该位于磁盘容量较大的卷上；默认值为 `/var/lib/clickhouse/`. 如果你想调整配置，直接编辑并不方便 `config.xml` 文件，考虑到它可能会在未来的软件包更新中被重写。 复盖配置元素的推荐方法是创建 [在配置文件。d目录](../operations/configuration-files.md) 它作为 “patches” 要配置。xml
|
||||
服务端配置文件位于 `/etc/clickhouse-server/`。 在进一步讨论之前，请注意 `config.xml`文件中的`<path>` 元素. Path决定了数据存储的位置，因此该位置应该位于磁盘容量较大的卷上；默认值为 `/var/lib/clickhouse/`。 如果你想调整配置，考虑到它可能会在未来的软件包更新中被重写，直接编辑`config.xml` 文件并不方便。 推荐的方法是在[配置文件](../operations/configuration-files.md)目录创建文件，作为config.xml文件的“补丁”，用以复写配置元素。
|
||||
|
||||
你可能已经注意到了, `clickhouse-server` 安装包后不会自动启动。 它也不会在更新后自动重新启动。 您启动服务器的方式取决于您的init系统，通常情况下，它是:
|
||||
你可能已经注意到了, `clickhouse-server` 安装后不会自动启动。 它也不会在更新后自动重新启动。 您启动服务端的方式取决于您的初始系统，通常情况下是这样:
|
||||
|
||||
``` bash
|
||||
sudo service clickhouse-server start
|
||||
@ -41,13 +39,13 @@ sudo service clickhouse-server start
|
||||
sudo /etc/init.d/clickhouse-server start
|
||||
```
|
||||
|
||||
服务器日志的默认位置是 `/var/log/clickhouse-server/`. 服务器已准备好处理客户端连接一旦它记录 `Ready for connections` 消息
|
||||
服务端日志的默认位置是 `/var/log/clickhouse-server/`。当服务端在日志中记录 `Ready for connections` 消息，即表示服务端已准备好处理客户端连接。
|
||||
|
||||
一旦 `clickhouse-server` 正在运行我们可以利用 `clickhouse-client` 连接到服务器并运行一些测试查询，如 `SELECT "Hello, world!";`.
|
||||
一旦 `clickhouse-server` 启动并运行，我们可以利用 `clickhouse-client` 连接到服务端，并运行一些测试查询，如 `SELECT "Hello, world!";`.
|
||||
|
||||
<details markdown="1">
|
||||
|
||||
<summary>Clickhouse-客户端的快速提示</summary>
|
||||
<summary>Clickhouse-client的快速提示</summary>
|
||||
|
||||
交互模式:
|
||||
|
||||
|
||||
@ -15,7 +15,7 @@ toc_title: "\u5E94\u7528CatBoost\u6A21\u578B"
|
||||
|
||||
1. [创建表](#create-table).
|
||||
2. [将数据插入到表中](#insert-data-to-table).
|
||||
3. [碌莽禄into拢Integrate010-68520682\<url\>](#integrate-catboost-into-clickhouse) （可选步骤）。
|
||||
3. [将CatBoost集成到ClickHouse中](#integrate-catboost-into-clickhouse) （可选步骤）。
|
||||
4. [从SQL运行模型推理](#run-model-inference).
|
||||
|
||||
有关训练CatBoost模型的详细信息，请参阅 [培训和应用模型](https://catboost.ai/docs/features/training.html#training).
|
||||
@ -119,12 +119,12 @@ FROM amazon_train
|
||||
+-------+
|
||||
```
|
||||
|
||||
## 3. 碌莽禄into拢Integrate010-68520682\<url\> {#integrate-catboost-into-clickhouse}
|
||||
## 3. 将CatBoost集成到ClickHouse中 {#integrate-catboost-into-clickhouse}
|
||||
|
||||
!!! note "注"
|
||||
**可选步骤。** Docker映像包含运行CatBoost和ClickHouse所需的所有内容。
|
||||
|
||||
碌莽禄to拢integrate010-68520682\<url\>:
|
||||
CatBoost集成到ClickHouse步骤:
|
||||
|
||||
**1.** 构建评估库。
|
||||
|
||||
|
||||
@ -13,6 +13,7 @@
|
||||
#include <DataTypes/DataTypeArray.h>
|
||||
#include <DataTypes/DataTypeNullable.h>
|
||||
#include <DataTypes/DataTypeFactory.h>
|
||||
#include <DataTypes/DataTypeUUID.h>
|
||||
#include <Interpreters/Context.h>
|
||||
#include <DataStreams/IBlockOutputStream.h>
|
||||
#include <DataStreams/LimitBlockInputStream.h>
|
||||
@ -363,6 +364,17 @@ static void transformFixedString(const UInt8 * src, UInt8 * dst, size_t size, UI
|
||||
}
|
||||
}
|
||||
|
||||
static void transformUUID(const UInt128 & src, UInt128 & dst, UInt64 seed)
|
||||
{
|
||||
SipHash hash;
|
||||
hash.update(seed);
|
||||
hash.update(reinterpret_cast<const char *>(&src), sizeof(UInt128));
|
||||
|
||||
/// Saving version and variant from an old UUID
|
||||
hash.get128(reinterpret_cast<char *>(&dst));
|
||||
dst.high = (dst.high & 0x1fffffffffffffffull) | (src.high & 0xe000000000000000ull);
|
||||
dst.low = (dst.low & 0xffffffffffff0fffull) | (src.low & 0x000000000000f000ull);
|
||||
}
|
||||
|
||||
class FixedStringModel : public IModel
|
||||
{
|
||||
@ -400,6 +412,38 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
class UUIDModel : public IModel
|
||||
{
|
||||
private:
|
||||
UInt64 seed;
|
||||
|
||||
public:
|
||||
explicit UUIDModel(UInt64 seed_) : seed(seed_) {}
|
||||
|
||||
void train(const IColumn &) override {}
|
||||
void finalize() override {}
|
||||
|
||||
ColumnPtr generate(const IColumn & column) override
|
||||
{
|
||||
const ColumnUInt128 & src_column = assert_cast<const ColumnUInt128 &>(column);
|
||||
const auto & src_data = src_column.getData();
|
||||
|
||||
auto res_column = ColumnUInt128::create();
|
||||
auto & res_data = res_column->getData();
|
||||
|
||||
res_data.resize(src_data.size());
|
||||
for (size_t i = 0; i < src_column.size(); ++i)
|
||||
transformUUID(src_data[i], res_data[i], seed);
|
||||
|
||||
return res_column;
|
||||
}
|
||||
|
||||
void updateSeed() override
|
||||
{
|
||||
seed = hash(seed);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/// Leave date part as is and apply pseudorandom permutation to time difference with previous value within the same log2 class.
|
||||
class DateTimeModel : public IModel
|
||||
@ -935,6 +979,9 @@ public:
|
||||
if (typeid_cast<const DataTypeFixedString *>(&data_type))
|
||||
return std::make_unique<FixedStringModel>(seed);
|
||||
|
||||
if (typeid_cast<const DataTypeUUID *>(&data_type))
|
||||
return std::make_unique<UUIDModel>(seed);
|
||||
|
||||
if (const auto * type = typeid_cast<const DataTypeArray *>(&data_type))
|
||||
return std::make_unique<ArrayModel>(get(*type->getNestedType(), seed, markov_model_params));
|
||||
|
||||
|
||||
@ -15,6 +15,7 @@ namespace DB
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int NUMBER_OF_COLUMNS_DOESNT_MATCH;
|
||||
extern const int UNKNOWN_TYPE;
|
||||
}
|
||||
|
||||
|
||||
@ -86,6 +87,8 @@ namespace
|
||||
case ValueType::vtUUID:
|
||||
assert_cast<ColumnUInt128 &>(column).insert(parse<UUID>(value.convert<std::string>()));
|
||||
break;
|
||||
default:
|
||||
throw Exception("Unsupported value type", ErrorCodes::UNKNOWN_TYPE);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -13,6 +13,11 @@
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int UNKNOWN_TYPE;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
using ValueType = ExternalResultDescription::ValueType;
|
||||
@ -79,6 +84,9 @@ namespace
|
||||
return Poco::Dynamic::Var(std::to_string(LocalDateTime(time_t(field.get<UInt64>())))).convert<String>();
|
||||
case ValueType::vtUUID:
|
||||
return Poco::Dynamic::Var(UUID(field.get<UInt128>()).toUnderType().toHexString()).convert<std::string>();
|
||||
default:
|
||||
throw Exception("Unsupported value type", ErrorCodes::UNKNOWN_TYPE);
|
||||
|
||||
}
|
||||
__builtin_unreachable();
|
||||
}
|
||||
|
||||
@ -8,6 +8,8 @@ PEERDIR(
|
||||
contrib/libs/poco/NetSSL_OpenSSL
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
clickhouse-server.cpp
|
||||
|
||||
|
||||
@ -12,6 +12,8 @@ PEERDIR(
|
||||
clickhouse/src
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
main.cpp
|
||||
|
||||
|
||||
@ -5,6 +5,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
AccessControlManager.cpp
|
||||
AccessRights.cpp
|
||||
|
||||
@ -4,6 +4,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
<? find . -name '*.cpp' | sed 's/^\.\// /' | sort ?>
|
||||
)
|
||||
|
||||
@ -12,6 +12,9 @@ namespace ErrorCodes
|
||||
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorArray final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -45,6 +48,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorArray(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorArray>());
|
||||
|
||||
@ -6,12 +6,14 @@
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorDistinct final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -56,6 +58,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorDistinct(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorDistinct>());
|
||||
|
||||
@ -12,6 +12,9 @@ namespace ErrorCodes
|
||||
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorForEach final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -42,6 +45,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorForEach(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorForEach>());
|
||||
|
||||
@ -13,6 +13,9 @@ namespace ErrorCodes
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorMerge final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -55,6 +58,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorMerge(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorMerge>());
|
||||
|
||||
@ -15,6 +15,9 @@ namespace ErrorCodes
|
||||
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorNull final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -119,6 +122,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorNull(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorNull>());
|
||||
|
||||
@ -6,6 +6,8 @@
|
||||
|
||||
namespace DB
|
||||
{
|
||||
namespace
|
||||
{
|
||||
|
||||
template <bool UseNull>
|
||||
class AggregateFunctionCombinatorOrFill final : public IAggregateFunctionCombinator
|
||||
@ -32,6 +34,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorOrFill(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorOrFill<false>>());
|
||||
|
||||
51
src/AggregateFunctions/AggregateFunctionRankCorrelation.cpp
Normal file
51
src/AggregateFunctions/AggregateFunctionRankCorrelation.cpp
Normal file
@ -0,0 +1,51 @@
|
||||
#include <AggregateFunctions/AggregateFunctionFactory.h>
|
||||
#include <AggregateFunctions/AggregateFunctionRankCorrelation.h>
|
||||
#include <AggregateFunctions/FactoryHelpers.h>
|
||||
#include "registerAggregateFunctions.h"
|
||||
#include <AggregateFunctions/Helpers.h>
|
||||
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int NOT_IMPLEMENTED;
|
||||
}
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
AggregateFunctionPtr createAggregateFunctionRankCorrelation(const std::string & name, const DataTypes & argument_types, const Array & parameters)
|
||||
{
|
||||
assertBinary(name, argument_types);
|
||||
assertNoParameters(name, parameters);
|
||||
|
||||
AggregateFunctionPtr res;
|
||||
|
||||
if (isDecimal(argument_types[0]) || isDecimal(argument_types[1]))
|
||||
{
|
||||
throw Exception("Aggregate function " + name + " only supports numerical types", ErrorCodes::NOT_IMPLEMENTED);
|
||||
}
|
||||
else
|
||||
{
|
||||
res.reset(createWithTwoNumericTypes<AggregateFunctionRankCorrelation>(*argument_types[0], *argument_types[1], argument_types));
|
||||
}
|
||||
|
||||
if (!res)
|
||||
{
|
||||
throw Exception("Aggregate function " + name + " only supports numerical types", ErrorCodes::NOT_IMPLEMENTED);
|
||||
}
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
void registerAggregateFunctionRankCorrelation(AggregateFunctionFactory & factory)
|
||||
{
|
||||
factory.registerFunction("rankCorr", createAggregateFunctionRankCorrelation, AggregateFunctionFactory::CaseInsensitive);
|
||||
}
|
||||
|
||||
}
|
||||
234
src/AggregateFunctions/AggregateFunctionRankCorrelation.h
Normal file
234
src/AggregateFunctions/AggregateFunctionRankCorrelation.h
Normal file
@ -0,0 +1,234 @@
|
||||
#pragma once
|
||||
|
||||
#include <AggregateFunctions/IAggregateFunction.h>
|
||||
#include <Columns/ColumnArray.h>
|
||||
#include <Columns/ColumnVector.h>
|
||||
#include <Columns/ColumnTuple.h>
|
||||
#include <Common/assert_cast.h>
|
||||
#include <Common/FieldVisitors.h>
|
||||
#include <Core/Types.h>
|
||||
#include <DataTypes/DataTypesDecimal.h>
|
||||
#include <DataTypes/DataTypeNullable.h>
|
||||
#include <DataTypes/DataTypesNumber.h>
|
||||
#include <DataTypes/DataTypeTuple.h>
|
||||
#include <IO/ReadHelpers.h>
|
||||
#include <IO/WriteHelpers.h>
|
||||
#include <limits>
|
||||
|
||||
#include <DataTypes/DataTypeArray.h>
|
||||
|
||||
#include <Common/ArenaAllocator.h>
|
||||
|
||||
#include <type_traits>
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int BAD_ARGUMENTS;
|
||||
}
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
template <template <typename> class Comparator>
|
||||
struct ComparePairFirst final
|
||||
{
|
||||
template <typename X, typename Y>
|
||||
bool operator()(const std::pair<X, Y> & lhs, const std::pair<X, Y> & rhs) const
|
||||
{
|
||||
return Comparator<X>{}(lhs.first, rhs.first);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template <template <typename> class Comparator>
|
||||
struct ComparePairSecond final
|
||||
{
|
||||
template <typename X, typename Y>
|
||||
bool operator()(const std::pair<X, Y> & lhs, const std::pair<X, Y> & rhs) const
|
||||
{
|
||||
return Comparator<Y>{}(lhs.second, rhs.second);
|
||||
}
|
||||
};
|
||||
|
||||
template <typename X = Float64, typename Y = Float64>
|
||||
struct AggregateFunctionRankCorrelationData final
|
||||
{
|
||||
size_t size_x = 0;
|
||||
|
||||
using Allocator = MixedAlignedArenaAllocator<alignof(std::pair<X, Y>), 4096>;
|
||||
using Array = PODArray<std::pair<X, Y>, 32, Allocator>;
|
||||
|
||||
Array values;
|
||||
};
|
||||
|
||||
template <typename X, typename Y>
|
||||
class AggregateFunctionRankCorrelation :
|
||||
public IAggregateFunctionDataHelper<AggregateFunctionRankCorrelationData<X, Y>, AggregateFunctionRankCorrelation<X, Y>>
|
||||
{
|
||||
using Data = AggregateFunctionRankCorrelationData<X, Y>;
|
||||
using Allocator = MixedAlignedArenaAllocator<alignof(std::pair<Float64, Float64>), 4096>;
|
||||
using Array = PODArray<std::pair<Float64, Float64>, 32, Allocator>;
|
||||
|
||||
public:
|
||||
explicit AggregateFunctionRankCorrelation(const DataTypes & arguments)
|
||||
:IAggregateFunctionDataHelper<AggregateFunctionRankCorrelationData<X, Y>,AggregateFunctionRankCorrelation<X, Y>> ({arguments}, {})
|
||||
{}
|
||||
|
||||
String getName() const override
|
||||
{
|
||||
return "rankCorr";
|
||||
}
|
||||
|
||||
DataTypePtr getReturnType() const override
|
||||
{
|
||||
return std::make_shared<DataTypeNumber<Float64>>();
|
||||
}
|
||||
|
||||
void insert(Data & a, const std::pair<X, Y> & x, Arena * arena) const
|
||||
{
|
||||
++a.size_x;
|
||||
a.values.push_back(x, arena);
|
||||
}
|
||||
|
||||
void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena * arena) const override
|
||||
{
|
||||
auto & a = this->data(place);
|
||||
|
||||
auto new_x = assert_cast<const ColumnVector<X> &>(*columns[0]).getData()[row_num];
|
||||
auto new_y = assert_cast<const ColumnVector<Y> &>(*columns[1]).getData()[row_num];
|
||||
|
||||
auto new_arg = std::make_pair(new_x, new_y);
|
||||
|
||||
a.size_x += 1;
|
||||
|
||||
a.values.push_back(new_arg, arena);
|
||||
}
|
||||
|
||||
void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena * arena) const override
|
||||
{
|
||||
auto & a = this->data(place);
|
||||
auto & b = this->data(rhs);
|
||||
|
||||
if (b.size_x)
|
||||
for (size_t i = 0; i < b.size_x; ++i)
|
||||
insert(a, b.values[i], arena);
|
||||
}
|
||||
|
||||
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
|
||||
{
|
||||
const auto & value = this->data(place).values;
|
||||
size_t size = this->data(place).size_x;
|
||||
writeVarUInt(size, buf);
|
||||
buf.write(reinterpret_cast<const char *>(value.data()), size * sizeof(value[0]));
|
||||
}
|
||||
|
||||
void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena * arena) const override
|
||||
{
|
||||
size_t size = 0;
|
||||
readVarUInt(size, buf);
|
||||
|
||||
auto & value = this->data(place).values;
|
||||
|
||||
value.resize(size, arena);
|
||||
buf.read(reinterpret_cast<char *>(value.data()), size * sizeof(value[0]));
|
||||
}
|
||||
|
||||
void insertResultInto(AggregateDataPtr place, IColumn & to, Arena * /*arena*/) const override
|
||||
{
|
||||
const auto & value = this->data(place).values;
|
||||
size_t size = this->data(place).size_x;
|
||||
|
||||
if (size < 2)
|
||||
{
|
||||
throw Exception("Aggregate function " + getName() + " requires samples to be of size > 1", ErrorCodes::BAD_ARGUMENTS);
|
||||
}
|
||||
|
||||
//create a copy of values not to format data
|
||||
PODArrayWithStackMemory<std::pair<Float64, Float64>, 32> tmp_values;
|
||||
tmp_values.resize(size);
|
||||
for (size_t j = 0; j < size; ++ j)
|
||||
tmp_values[j] = static_cast<std::pair<Float64, Float64>>(value[j]);
|
||||
|
||||
//sort x_values
|
||||
std::sort(std::begin(tmp_values), std::end(tmp_values), ComparePairFirst<std::greater>{});
|
||||
|
||||
for (size_t j = 0; j < size;)
|
||||
{
|
||||
//replace x_values with their ranks
|
||||
size_t rank = j + 1;
|
||||
size_t same = 1;
|
||||
size_t cur_sum = rank;
|
||||
size_t cur_start = j;
|
||||
|
||||
while (j < size - 1)
|
||||
{
|
||||
if (tmp_values[j].first == tmp_values[j + 1].first)
|
||||
{
|
||||
// rank of (j + 1)th number
|
||||
rank += 1;
|
||||
same++;
|
||||
cur_sum += rank;
|
||||
j++;
|
||||
}
|
||||
else
|
||||
break;
|
||||
}
|
||||
|
||||
// insert rank is calculated as average of ranks of equal values
|
||||
Float64 insert_rank = static_cast<Float64>(cur_sum) / same;
|
||||
for (size_t i = cur_start; i <= j; ++i)
|
||||
tmp_values[i].first = insert_rank;
|
||||
j++;
|
||||
}
|
||||
|
||||
//sort y_values
|
||||
std::sort(std::begin(tmp_values), std::end(tmp_values), ComparePairSecond<std::greater>{});
|
||||
|
||||
//replace y_values with their ranks
|
||||
for (size_t j = 0; j < size;)
|
||||
{
|
||||
//replace x_values with their ranks
|
||||
size_t rank = j + 1;
|
||||
size_t same = 1;
|
||||
size_t cur_sum = rank;
|
||||
size_t cur_start = j;
|
||||
|
||||
while (j < size - 1)
|
||||
{
|
||||
if (tmp_values[j].second == tmp_values[j + 1].second)
|
||||
{
|
||||
// rank of (j + 1)th number
|
||||
rank += 1;
|
||||
same++;
|
||||
cur_sum += rank;
|
||||
j++;
|
||||
}
|
||||
else
|
||||
{
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// insert rank is calculated as average of ranks of equal values
|
||||
Float64 insert_rank = static_cast<Float64>(cur_sum) / same;
|
||||
for (size_t i = cur_start; i <= j; ++i)
|
||||
tmp_values[i].second = insert_rank;
|
||||
j++;
|
||||
}
|
||||
|
||||
//count d^2 sum
|
||||
Float64 answer = static_cast<Float64>(0);
|
||||
for (size_t j = 0; j < size; ++ j)
|
||||
answer += (tmp_values[j].first - tmp_values[j].second) * (tmp_values[j].first - tmp_values[j].second);
|
||||
|
||||
answer *= 6;
|
||||
answer /= size * (size * size - 1);
|
||||
answer = 1 - answer;
|
||||
|
||||
auto & column = static_cast<ColumnVector<Float64> &>(to);
|
||||
column.getData().push_back(answer);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
};
|
||||
@ -13,6 +13,9 @@ namespace ErrorCodes
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorResample final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -93,6 +96,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorResample(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorResample>());
|
||||
|
||||
@ -4,6 +4,7 @@
|
||||
#include <Columns/ColumnArray.h>
|
||||
#include <DataTypes/DataTypeArray.h>
|
||||
#include <Common/assert_cast.h>
|
||||
#include <common/arithmeticOverflow.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
@ -60,7 +61,18 @@ public:
|
||||
if (end < begin)
|
||||
total = 0;
|
||||
else
|
||||
total = (end - begin + step - 1) / step;
|
||||
{
|
||||
Key dif;
|
||||
size_t sum;
|
||||
if (common::subOverflow(end, begin, dif)
|
||||
|| common::addOverflow(static_cast<size_t>(dif), step, sum))
|
||||
{
|
||||
throw Exception("Overflow in internal computations in function " + getName()
|
||||
+ ". Too large arguments", ErrorCodes::ARGUMENT_OUT_OF_BOUND);
|
||||
}
|
||||
|
||||
total = (sum - 1) / step; // total = (end - begin + step - 1) / step
|
||||
}
|
||||
|
||||
if (total > MAX_ELEMENTS)
|
||||
throw Exception("The range given in function "
|
||||
|
||||
@ -13,6 +13,9 @@ namespace ErrorCodes
|
||||
extern const int BAD_ARGUMENTS;
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
|
||||
class AggregateFunctionCombinatorState final : public IAggregateFunctionCombinator
|
||||
{
|
||||
public:
|
||||
@ -33,6 +36,8 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
void registerAggregateFunctionCombinatorState(AggregateFunctionCombinatorFactory & factory)
|
||||
{
|
||||
factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorState>());
|
||||
|
||||
@ -45,6 +45,7 @@ void registerAggregateFunctions()
|
||||
registerAggregateFunctionMoving(factory);
|
||||
registerAggregateFunctionCategoricalIV(factory);
|
||||
registerAggregateFunctionAggThrow(factory);
|
||||
registerAggregateFunctionRankCorrelation(factory);
|
||||
}
|
||||
|
||||
{
|
||||
|
||||
@ -35,6 +35,7 @@ void registerAggregateFunctionSimpleLinearRegression(AggregateFunctionFactory &)
|
||||
void registerAggregateFunctionMoving(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionCategoricalIV(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionAggThrow(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionRankCorrelation(AggregateFunctionFactory &);
|
||||
|
||||
class AggregateFunctionCombinatorFactory;
|
||||
void registerAggregateFunctionCombinatorIf(AggregateFunctionCombinatorFactory &);
|
||||
|
||||
@ -5,6 +5,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
AggregateFunctionAggThrow.cpp
|
||||
AggregateFunctionArray.cpp
|
||||
@ -32,6 +34,7 @@ SRCS(
|
||||
AggregateFunctionNull.cpp
|
||||
AggregateFunctionOrFill.cpp
|
||||
AggregateFunctionQuantile.cpp
|
||||
AggregateFunctionRankCorrelation.cpp
|
||||
AggregateFunctionResample.cpp
|
||||
AggregateFunctionRetention.cpp
|
||||
AggregateFunctionSequenceMatch.cpp
|
||||
|
||||
@ -4,6 +4,8 @@ PEERDIR(
|
||||
clickhouse/src/Common
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
<? find . -name '*.cpp' | grep -v -F tests | grep -v -F GroupBitmap | sed 's/^\.\// /' | sort ?>
|
||||
)
|
||||
|
||||
@ -6,6 +6,8 @@ PEERDIR(
|
||||
contrib/libs/poco/NetSSL_OpenSSL
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
Connection.cpp
|
||||
ConnectionPoolWithFailover.cpp
|
||||
|
||||
@ -5,6 +5,8 @@ PEERDIR(
|
||||
contrib/libs/poco/NetSSL_OpenSSL
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
<? find . -name '*.cpp' | grep -v -F tests | sed 's/^\.\// /' | sort ?>
|
||||
)
|
||||
|
||||
@ -170,7 +170,12 @@ public:
|
||||
size_t sizeOfValueIfFixed() const override { return getDictionary().sizeOfValueIfFixed(); }
|
||||
bool isNumeric() const override { return getDictionary().isNumeric(); }
|
||||
bool lowCardinality() const override { return true; }
|
||||
bool isNullable() const override { return isColumnNullable(*dictionary.getColumnUniquePtr()); }
|
||||
|
||||
/**
|
||||
* Checks if the dictionary column is Nullable(T).
|
||||
* So LC(Nullable(T)) would return true, LC(U) -- false.
|
||||
*/
|
||||
bool nestedIsNullable() const { return isColumnNullable(*dictionary.getColumnUnique().getNestedColumn()); }
|
||||
|
||||
const IColumnUnique & getDictionary() const { return dictionary.getColumnUnique(); }
|
||||
const ColumnPtr & getDictionaryPtr() const { return dictionary.getColumnUniquePtr(); }
|
||||
|
||||
@ -2,8 +2,6 @@
|
||||
LIBRARY()
|
||||
|
||||
ADDINCL(
|
||||
contrib/libs/icu/common
|
||||
contrib/libs/icu/i18n
|
||||
contrib/libs/pdqsort
|
||||
)
|
||||
|
||||
@ -13,6 +11,8 @@ PEERDIR(
|
||||
contrib/libs/pdqsort
|
||||
)
|
||||
|
||||
CFLAGS(-g0)
|
||||
|
||||
SRCS(
|
||||
Collator.cpp
|
||||
ColumnAggregateFunction.cpp
|
||||
|
||||
@ -21,6 +21,8 @@
|
||||
#define PREPROCESSED_SUFFIX "-preprocessed"
|
||||
|
||||
|
||||
namespace fs = std::filesystem;
|
||||
|
||||
using namespace Poco::XML;
|
||||
|
||||
namespace DB
|
||||
@ -451,7 +453,7 @@ XMLDocumentPtr ConfigProcessor::processConfig(
|
||||
XMLDocumentPtr config;
|
||||
LOG_DEBUG(log, "Processing configuration file '{}'.", path);
|
||||
|
||||
if (std::filesystem::exists(path))
|
||||
if (fs::exists(path))
|
||||
{
|
||||
config = dom_parser.parse(path);
|
||||
}
|
||||
@ -610,6 +612,7 @@ void ConfigProcessor::savePreprocessedConfig(const LoadedConfig & loaded_config,
|
||||
{
|
||||
if (preprocessed_path.empty())
|
||||
{
|
||||
fs::path preprocessed_configs_path("preprocessed_configs/");
|
||||
auto new_path = loaded_config.config_path;
|
||||
if (new_path.substr(0, main_config_path.size()) == main_config_path)
|
||||
new_path.replace(0, main_config_path.size(), "");
|
||||
@ -628,15 +631,17 @@ void ConfigProcessor::savePreprocessedConfig(const LoadedConfig & loaded_config,
|
||||
}
|
||||
else
|
||||
{
|
||||
preprocessed_dir = loaded_config.configuration->getString("path") + "/preprocessed_configs/";
|
||||
fs::path loaded_config_path(loaded_config.configuration->getString("path"));
|
||||
preprocessed_dir = loaded_config_path / preprocessed_configs_path;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
preprocessed_dir += "/preprocessed_configs/";
|
||||
fs::path preprocessed_dir_path(preprocessed_dir);
|
||||
preprocessed_dir = (preprocessed_dir_path / preprocessed_configs_path).string();
|
||||
}
|
||||
|
||||
preprocessed_path = preprocessed_dir + new_path;
|
||||
preprocessed_path = (fs::path(preprocessed_dir) / fs::path(new_path)).string();
|
||||
auto preprocessed_path_parent = Poco::Path(preprocessed_path).makeParent();
|
||||
if (!preprocessed_path_parent.toString().empty())
|
||||
Poco::File(preprocessed_path_parent).createDirectories();
|
||||
|
||||
@ -14,6 +14,7 @@
|
||||
M(BackgroundSchedulePoolTask, "Number of active tasks in BackgroundSchedulePool. This pool is used for periodic ReplicatedMergeTree tasks, like cleaning old data parts, altering data parts, replica re-initialization, etc.") \
|
||||
M(BackgroundBufferFlushSchedulePoolTask, "Number of active tasks in BackgroundBufferFlushSchedulePool. This pool is used for periodic Buffer flushes") \
|
||||
M(BackgroundDistributedSchedulePoolTask, "Number of active tasks in BackgroundDistributedSchedulePool. This pool is used for distributed sends that is done in background.") \
|
||||
M(BackgroundMessageBrokerSchedulePoolTask, "Number of active tasks in BackgroundProcessingPool for message streaming") \
|
||||
M(CacheDictionaryUpdateQueueBatches, "Number of 'batches' (a set of keys) in update queue in CacheDictionaries.") \
|
||||
M(CacheDictionaryUpdateQueueKeys, "Exact number of keys in update queue in CacheDictionaries.") \
|
||||
M(DiskSpaceReservedForMerge, "Disk space reserved for currently running background merges. It is slightly more than the total size of currently merging parts.") \
|
||||
@ -38,6 +39,7 @@
|
||||
M(MemoryTrackingInBackgroundSchedulePool, "Total amount of memory (bytes) allocated in background schedule pool (that is dedicated for bookkeeping tasks of Replicated tables).") \
|
||||
M(MemoryTrackingInBackgroundBufferFlushSchedulePool, "Total amount of memory (bytes) allocated in background buffer flushes pool (that is dedicated for background buffer flushes).") \
|
||||
M(MemoryTrackingInBackgroundDistributedSchedulePool, "Total amount of memory (bytes) allocated in background distributed schedule pool (that is dedicated for distributed sends).") \
|
||||
M(MemoryTrackingInBackgroundMessageBrokerSchedulePool, "Total amount of memory (bytes) allocated in background message broker pool (that is dedicated for background message streaming).") \
|
||||
M(MemoryTrackingForMerges, "Total amount of memory (bytes) allocated for background merges. Included in MemoryTrackingInBackgroundProcessingPool. Note that this value may include a drift when the memory was allocated in a context of background processing pool and freed in other context or vice-versa. This happens naturally due to caches for tables indexes and doesn't indicate memory leaks.") \
|
||||
M(EphemeralNode, "Number of ephemeral nodes hold in ZooKeeper.") \
|
||||
M(ZooKeeperSession, "Number of sessions (connections) to ZooKeeper. Should be no more than one, because using more than one connection to ZooKeeper may lead to bugs due to lack of linearizability (stale reads) that ZooKeeper consistency model allows.") \
|
||||
|
||||
@ -281,7 +281,7 @@ namespace ErrorCodes
|
||||
extern const int DICTIONARY_IS_EMPTY = 281;
|
||||
extern const int INCORRECT_INDEX = 282;
|
||||
extern const int UNKNOWN_DISTRIBUTED_PRODUCT_MODE = 283;
|
||||
extern const int UNKNOWN_GLOBAL_SUBQUERIES_METHOD = 284;
|
||||
extern const int WRONG_GLOBAL_SUBQUERY = 284;
|
||||
extern const int TOO_FEW_LIVE_REPLICAS = 285;
|
||||
extern const int UNSATISFIED_QUORUM_FOR_PREVIOUS_WRITE = 286;
|
||||
extern const int UNKNOWN_FORMAT_VERSION = 287;
|
||||
@ -503,6 +503,11 @@ namespace ErrorCodes
|
||||
extern const int CANNOT_RESTORE_FROM_FIELD_DUMP = 536;
|
||||
extern const int ILLEGAL_MYSQL_VARIABLE = 537;
|
||||
extern const int MYSQL_SYNTAX_ERROR = 538;
|
||||
extern const int CANNOT_BIND_RABBITMQ_EXCHANGE = 539;
|
||||
extern const int CANNOT_DECLARE_RABBITMQ_EXCHANGE = 540;
|
||||
extern const int CANNOT_CREATE_RABBITMQ_QUEUE_BINDING = 541;
|
||||
extern const int CANNOT_REMOVE_RABBITMQ_EXCHANGE = 542;
|
||||
extern const int UNKNOWN_MYSQL_DATATYPES_SUPPORT_LEVEL = 543;
|
||||
|
||||
extern const int KEEPER_EXCEPTION = 999;
|
||||
extern const int POCO_EXCEPTION = 1000;
|
||||
|
||||
@ -82,6 +82,12 @@ inline UInt64 getCurrentTimeNanoseconds(clockid_t clock_type = CLOCK_MONOTONIC)
|
||||
return ts.tv_sec * 1000000000ULL + ts.tv_nsec;
|
||||
}
|
||||
|
||||
inline UInt64 getCurrentTimeMicroseconds()
|
||||
{
|
||||
struct timeval tv;
|
||||
gettimeofday(&tv, nullptr);
|
||||
return (tv.tv_sec) * 1000000U + (tv.tv_usec);
|
||||
}
|
||||
|
||||
struct RUsageCounters
|
||||
{
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user