Merge branch 'master' into cross-to-inner-join-rewrite

This commit is contained in:
vdimir 2021-03-09 09:36:15 +03:00
commit 36006a7e96
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GPG Key ID: F57B3E10A21DBB31
1033 changed files with 33266 additions and 10611 deletions

4
.github/codecov.yml vendored
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@ -1,5 +1,5 @@
codecov:
max_report_age: off
max_report_age: "off"
strict_yaml_branch: "master"
ignore:
@ -14,4 +14,4 @@ ignore:
comment: false
github_checks:
annotations: false
annotations: false

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@ -8,9 +8,9 @@
name: Docker Container Scan (clickhouse-server)
on:
"on":
pull_request:
paths:
paths:
- docker/server/Dockerfile
- .github/workflows/anchore-analysis.yml
schedule:
@ -20,20 +20,20 @@ jobs:
Anchore-Build-Scan:
runs-on: ubuntu-latest
steps:
- name: Checkout the code
uses: actions/checkout@v2
- name: Build the Docker image
run: |
cd docker/server
perl -pi -e 's|=\$version||g' Dockerfile
docker build . --file Dockerfile --tag localbuild/testimage:latest
- name: Run the local Anchore scan action itself with GitHub Advanced Security code scanning integration enabled
uses: anchore/scan-action@v2
id: scan
with:
image: "localbuild/testimage:latest"
acs-report-enable: true
- name: Upload Anchore Scan Report
uses: github/codeql-action/upload-sarif@v1
with:
sarif_file: ${{ steps.scan.outputs.sarif }}
- name: Checkout the code
uses: actions/checkout@v2
- name: Build the Docker image
run: |
cd docker/server
perl -pi -e 's|=\$version||g' Dockerfile
docker build . --file Dockerfile --tag localbuild/testimage:latest
- name: Run the local Anchore scan action itself with GitHub Advanced Security code scanning integration enabled
uses: anchore/scan-action@v2
id: scan
with:
image: "localbuild/testimage:latest"
acs-report-enable: true
- name: Upload Anchore Scan Report
uses: github/codeql-action/upload-sarif@v1
with:
sarif_file: ${{ steps.scan.outputs.sarif }}

6
.gitignore vendored
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@ -137,3 +137,9 @@ website/package-lock.json
/prof
*.iml
# data store
/programs/server/data
/programs/server/metadata
/programs/server/store

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@ -14,14 +14,14 @@ handlers:
# The trigger for creating the Yandex.Tracker issue. When the specified event occurs, it transfers PR data to Yandex.Tracker.
github:pullRequest:labeled:
data:
# The Yandex.Tracker queue to create the issue in. Each issue in Tracker belongs to one of the project queues.
queue: CLICKHOUSEDOCS
# The issue title.
summary: '[Potato] Pull Request #{{pullRequest.number}}'
# The issue description.
description: >
# The Yandex.Tracker queue to create the issue in. Each issue in Tracker belongs to one of the project queues.
queue: CLICKHOUSEDOCS
# The issue title.
summary: '[Potato] Pull Request #{{pullRequest.number}}'
# The issue description.
description: >
{{pullRequest.description}}
Ссылка на Pull Request: {{pullRequest.webUrl}}
# The condition for creating the Yandex.Tracker issue.
condition: eventPayload.labels.filter(label => ['pr-feature'].includes(label.name)).length
# The condition for creating the Yandex.Tracker issue.
condition: eventPayload.labels.filter(label => ['pr-feature'].includes(label.name)).length

15
.yamllint Normal file
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@ -0,0 +1,15 @@
# vi: ft=yaml
extends: default
rules:
indentation:
level: warning
indent-sequences: consistent
line-length:
# there are some bash -c "", so this is OK
max: 300
level: warning
comments:
min-spaces-from-content: 1
document-start:
present: false

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@ -7,6 +7,7 @@
#include <ctime>
#include <string>
#define DATE_LUT_MAX (0xFFFFFFFFU - 86400)
#define DATE_LUT_MAX_DAY_NUM (0xFFFFFFFFU / 86400)
/// Table size is bigger than DATE_LUT_MAX_DAY_NUM to fill all indices within UInt16 range: this allows to remove extra check.
@ -249,7 +250,7 @@ public:
{
DayNum index = findIndex(t);
if (unlikely(index == 0))
if (unlikely(index == 0 || index > DATE_LUT_MAX_DAY_NUM))
return t + offset_at_start_of_epoch;
time_t res = t - lut[index].date;
@ -264,18 +265,18 @@ public:
{
DayNum index = findIndex(t);
/// If it is not 1970 year (findIndex found nothing appropriate),
/// than limit number of hours to avoid insane results like 1970-01-01 89:28:15
if (unlikely(index == 0))
/// If it is overflow case,
/// then limit number of hours to avoid insane results like 1970-01-01 89:28:15
if (unlikely(index == 0 || index > DATE_LUT_MAX_DAY_NUM))
return static_cast<unsigned>((t + offset_at_start_of_epoch) / 3600) % 24;
time_t res = t - lut[index].date;
time_t time = t - lut[index].date;
/// Data is cleaned to avoid possibility of underflow.
if (res >= lut[index].time_at_offset_change)
res += lut[index].amount_of_offset_change;
if (time >= lut[index].time_at_offset_change)
time += lut[index].amount_of_offset_change;
return res / 3600;
unsigned res = time / 3600;
return res <= 23 ? res : 0;
}
/** Calculating offset from UTC in seconds.
@ -314,15 +315,21 @@ public:
* each minute, with added or subtracted leap second, spans exactly 60 unix timestamps.
*/
inline unsigned toSecond(time_t t) const { return t % 60; }
inline unsigned toSecond(time_t t) const { return UInt32(t) % 60; }
inline unsigned toMinute(time_t t) const
{
if (offset_is_whole_number_of_hours_everytime)
return (t / 60) % 60;
return (UInt32(t) / 60) % 60;
UInt32 date = find(t).date;
return (UInt32(t) - date) / 60 % 60;
/// To consider the DST changing situation within this day.
/// also make the special timezones with no whole hour offset such as 'Australia/Lord_Howe' been taken into account
DayNum index = findIndex(t);
UInt32 res = t - lut[index].date;
if (lut[index].amount_of_offset_change != 0 && t >= lut[index].date + lut[index].time_at_offset_change)
res += lut[index].amount_of_offset_change;
return res / 60 % 60;
}
inline time_t toStartOfMinute(time_t t) const { return t / 60 * 60; }
@ -555,9 +562,7 @@ public:
}
}
/*
* check and change mode to effective
*/
/// Check and change mode to effective.
inline UInt8 check_week_mode(UInt8 mode) const
{
UInt8 week_format = (mode & 7);
@ -566,10 +571,9 @@ public:
return week_format;
}
/*
* Calc weekday from d
* Returns 0 for monday, 1 for tuesday ...
*/
/** Calculate weekday from d.
* Returns 0 for monday, 1 for tuesday...
*/
inline unsigned calc_weekday(DayNum d, bool sunday_first_day_of_week) const
{
if (!sunday_first_day_of_week)
@ -578,7 +582,7 @@ public:
return toDayOfWeek(DayNum(d + 1)) - 1;
}
/* Calc days in one year. */
/// Calculate days in one year.
inline unsigned calc_days_in_year(UInt16 year) const
{
return ((year & 3) == 0 && (year % 100 || (year % 400 == 0 && year)) ? 366 : 365);

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@ -6,6 +6,25 @@
namespace common
{
/// Multiply and ignore overflow.
template <typename T1, typename T2>
inline auto NO_SANITIZE_UNDEFINED mulIgnoreOverflow(T1 x, T2 y)
{
return x * y;
}
template <typename T1, typename T2>
inline auto NO_SANITIZE_UNDEFINED addIgnoreOverflow(T1 x, T2 y)
{
return x + y;
}
template <typename T1, typename T2>
inline auto NO_SANITIZE_UNDEFINED subIgnoreOverflow(T1 x, T2 y)
{
return x - y;
}
template <typename T>
inline bool addOverflow(T x, T y, T & res)
{
@ -35,14 +54,14 @@ namespace common
{
static constexpr __int128 min_int128 = minInt128();
static constexpr __int128 max_int128 = maxInt128();
res = x + y;
res = addIgnoreOverflow(x, y);
return (y > 0 && x > max_int128 - y) || (y < 0 && x < min_int128 - y);
}
template <>
inline bool addOverflow(wInt256 x, wInt256 y, wInt256 & res)
{
res = x + y;
res = addIgnoreOverflow(x, y);
return (y > 0 && x > std::numeric_limits<wInt256>::max() - y) ||
(y < 0 && x < std::numeric_limits<wInt256>::min() - y);
}
@ -50,7 +69,7 @@ namespace common
template <>
inline bool addOverflow(wUInt256 x, wUInt256 y, wUInt256 & res)
{
res = x + y;
res = addIgnoreOverflow(x, y);
return x > std::numeric_limits<wUInt256>::max() - y;
}
@ -83,14 +102,14 @@ namespace common
{
static constexpr __int128 min_int128 = minInt128();
static constexpr __int128 max_int128 = maxInt128();
res = x - y;
res = subIgnoreOverflow(x, y);
return (y < 0 && x > max_int128 + y) || (y > 0 && x < min_int128 + y);
}
template <>
inline bool subOverflow(wInt256 x, wInt256 y, wInt256 & res)
{
res = x - y;
res = subIgnoreOverflow(x, y);
return (y < 0 && x > std::numeric_limits<wInt256>::max() + y) ||
(y > 0 && x < std::numeric_limits<wInt256>::min() + y);
}
@ -98,7 +117,7 @@ namespace common
template <>
inline bool subOverflow(wUInt256 x, wUInt256 y, wUInt256 & res)
{
res = x - y;
res = subIgnoreOverflow(x, y);
return x < y;
}
@ -129,40 +148,33 @@ namespace common
template <>
inline bool mulOverflow(__int128 x, __int128 y, __int128 & res)
{
res = static_cast<unsigned __int128>(x) * static_cast<unsigned __int128>(y); /// Avoid signed integer overflow.
res = mulIgnoreOverflow(x, y);
if (!x || !y)
return false;
unsigned __int128 a = (x > 0) ? x : -x;
unsigned __int128 b = (y > 0) ? y : -y;
return (a * b) / b != a;
return mulIgnoreOverflow(a, b) / b != a;
}
template <>
inline bool mulOverflow(wInt256 x, wInt256 y, wInt256 & res)
{
res = x * y;
res = mulIgnoreOverflow(x, y);
if (!x || !y)
return false;
wInt256 a = (x > 0) ? x : -x;
wInt256 b = (y > 0) ? y : -y;
return (a * b) / b != a;
return mulIgnoreOverflow(a, b) / b != a;
}
template <>
inline bool mulOverflow(wUInt256 x, wUInt256 y, wUInt256 & res)
{
res = x * y;
res = mulIgnoreOverflow(x, y);
if (!x || !y)
return false;
return (x * y) / y != x;
}
/// Multiply and ignore overflow.
template <typename T1, typename T2>
inline auto NO_SANITIZE_UNDEFINED mulIgnoreOverflow(T1 x, T2 y)
{
return x * y;
return res / y != x;
}
}

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@ -1,5 +1,20 @@
#pragma once
/// __has_feature supported only by clang.
///
/// But libcxx/libcxxabi overrides it to 0,
/// thus the checks for __has_feature will be wrong.
///
/// NOTE:
/// - __has_feature cannot be simply undefined,
/// since this will be broken if some C++ header will be included after
/// including <common/defines.h>
/// - it should not have fallback to 0,
/// since this may create false-positive detection (common problem)
#if defined(__clang__) && defined(__has_feature)
# define ch_has_feature __has_feature
#endif
#if defined(_MSC_VER)
# if !defined(likely)
# define likely(x) (x)
@ -32,8 +47,8 @@
/// Check for presence of address sanitizer
#if !defined(ADDRESS_SANITIZER)
# if defined(__has_feature)
# if __has_feature(address_sanitizer)
# if defined(ch_has_feature)
# if ch_has_feature(address_sanitizer)
# define ADDRESS_SANITIZER 1
# endif
# elif defined(__SANITIZE_ADDRESS__)
@ -42,8 +57,8 @@
#endif
#if !defined(THREAD_SANITIZER)
# if defined(__has_feature)
# if __has_feature(thread_sanitizer)
# if defined(ch_has_feature)
# if ch_has_feature(thread_sanitizer)
# define THREAD_SANITIZER 1
# endif
# elif defined(__SANITIZE_THREAD__)
@ -52,8 +67,8 @@
#endif
#if !defined(MEMORY_SANITIZER)
# if defined(__has_feature)
# if __has_feature(memory_sanitizer)
# if defined(ch_has_feature)
# if ch_has_feature(memory_sanitizer)
# define MEMORY_SANITIZER 1
# endif
# elif defined(__MEMORY_SANITIZER__)

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@ -15,11 +15,11 @@
#endif
#define __msan_unpoison(X, Y) // NOLINT
#if defined(__has_feature)
# if __has_feature(memory_sanitizer)
# undef __msan_unpoison
# include <sanitizer/msan_interface.h>
# endif
#if defined(ch_has_feature)
# if ch_has_feature(memory_sanitizer)
# undef __msan_unpoison
# include <sanitizer/msan_interface.h>
# endif
#endif
#include <link.h>

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@ -416,7 +416,9 @@ static void sanitizerDeathCallback()
else
log_message = "Terminate called without an active exception";
static const size_t buf_size = 1024;
/// POSIX.1 says that write(2)s of less than PIPE_BUF bytes must be atomic - man 7 pipe
/// And the buffer should not be too small because our exception messages can be large.
static constexpr size_t buf_size = PIPE_BUF;
if (log_message.size() > buf_size - 16)
log_message.resize(buf_size - 16);

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@ -83,7 +83,7 @@ public:
template <class T>
void writeToGraphite(const std::string & key, const T & value, const std::string & config_name = DEFAULT_GRAPHITE_CONFIG_NAME, time_t timestamp = 0, const std::string & custom_root_path = "")
{
auto writer = getGraphiteWriter(config_name);
auto *writer = getGraphiteWriter(config_name);
if (writer)
writer->write(key, value, timestamp, custom_root_path);
}
@ -91,7 +91,7 @@ public:
template <class T>
void writeToGraphite(const GraphiteWriter::KeyValueVector<T> & key_vals, const std::string & config_name = DEFAULT_GRAPHITE_CONFIG_NAME, time_t timestamp = 0, const std::string & custom_root_path = "")
{
auto writer = getGraphiteWriter(config_name);
auto *writer = getGraphiteWriter(config_name);
if (writer)
writer->write(key_vals, timestamp, custom_root_path);
}
@ -99,7 +99,7 @@ public:
template <class T>
void writeToGraphite(const GraphiteWriter::KeyValueVector<T> & key_vals, const std::chrono::system_clock::time_point & current_time, const std::string & custom_root_path)
{
auto writer = getGraphiteWriter();
auto *writer = getGraphiteWriter();
if (writer)
writer->write(key_vals, std::chrono::system_clock::to_time_t(current_time), custom_root_path);
}

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@ -51,10 +51,11 @@ Connection::Connection(
const char* ssl_key,
unsigned timeout,
unsigned rw_timeout,
bool enable_local_infile)
bool enable_local_infile,
bool opt_reconnect)
: Connection()
{
connect(db, server, user, password, port, socket, ssl_ca, ssl_cert, ssl_key, timeout, rw_timeout, enable_local_infile);
connect(db, server, user, password, port, socket, ssl_ca, ssl_cert, ssl_key, timeout, rw_timeout, enable_local_infile, opt_reconnect);
}
Connection::Connection(const std::string & config_name)
@ -80,7 +81,8 @@ void Connection::connect(const char* db,
const char * ssl_key,
unsigned timeout,
unsigned rw_timeout,
bool enable_local_infile)
bool enable_local_infile,
bool opt_reconnect)
{
if (is_connected)
disconnect();
@ -104,9 +106,8 @@ void Connection::connect(const char* db,
if (mysql_options(driver.get(), MYSQL_OPT_LOCAL_INFILE, &enable_local_infile_arg))
throw ConnectionFailed(errorMessage(driver.get()), mysql_errno(driver.get()));
/// Enables auto-reconnect.
bool reconnect = true;
if (mysql_options(driver.get(), MYSQL_OPT_RECONNECT, reinterpret_cast<const char *>(&reconnect)))
/// See C API Developer Guide: Automatic Reconnection Control
if (mysql_options(driver.get(), MYSQL_OPT_RECONNECT, reinterpret_cast<const char *>(&opt_reconnect)))
throw ConnectionFailed(errorMessage(driver.get()), mysql_errno(driver.get()));
/// Specifies particular ssl key and certificate if it needs

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@ -14,6 +14,8 @@
/// Disable LOAD DATA LOCAL INFILE because it is insecure
#define MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE false
/// See https://dev.mysql.com/doc/c-api/5.7/en/c-api-auto-reconnect.html
#define MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT true
namespace mysqlxx
@ -76,7 +78,8 @@ public:
const char * ssl_key = "",
unsigned timeout = MYSQLXX_DEFAULT_TIMEOUT,
unsigned rw_timeout = MYSQLXX_DEFAULT_RW_TIMEOUT,
bool enable_local_infile = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE);
bool enable_local_infile = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE,
bool opt_reconnect = MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT);
/// Creates connection. Can be used if Poco::Util::Application is using.
/// All settings will be got from config_name section of configuration.
@ -96,7 +99,8 @@ public:
const char* ssl_key,
unsigned timeout = MYSQLXX_DEFAULT_TIMEOUT,
unsigned rw_timeout = MYSQLXX_DEFAULT_RW_TIMEOUT,
bool enable_local_infile = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE);
bool enable_local_infile = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE,
bool opt_reconnect = MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT);
void connect(const std::string & config_name)
{
@ -112,6 +116,7 @@ public:
std::string ssl_cert = cfg.getString(config_name + ".ssl_cert", "");
std::string ssl_key = cfg.getString(config_name + ".ssl_key", "");
bool enable_local_infile = cfg.getBool(config_name + ".enable_local_infile", MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE);
bool opt_reconnect = cfg.getBool(config_name + ".opt_reconnect", MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT);
unsigned timeout =
cfg.getInt(config_name + ".connect_timeout",
@ -135,7 +140,8 @@ public:
ssl_key.c_str(),
timeout,
rw_timeout,
enable_local_infile);
enable_local_infile,
opt_reconnect);
}
/// If MySQL connection was established.

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@ -26,6 +26,15 @@ struct ConnectionFailed : public Exception
};
/// Connection to MySQL server was lost
struct ConnectionLost : public Exception
{
ConnectionLost(const std::string & msg, int code = 0) : Exception(msg, code) {}
const char * name() const throw() override { return "mysqlxx::ConnectionLost"; }
const char * className() const throw() override { return "mysqlxx::ConnectionLost"; }
};
/// Erroneous query.
struct BadQuery : public Exception
{

View File

@ -10,7 +10,6 @@
#include <common/sleep.h>
#include <Poco/Util/Application.h>
#include <Poco/Util/LayeredConfiguration.h>
@ -41,7 +40,9 @@ void Pool::Entry::decrementRefCount()
Pool::Pool(const Poco::Util::AbstractConfiguration & cfg, const std::string & config_name,
unsigned default_connections_, unsigned max_connections_,
const char * parent_config_name_)
: default_connections(default_connections_), max_connections(max_connections_)
: logger(Poco::Logger::get("mysqlxx::Pool"))
, default_connections(default_connections_)
, max_connections(max_connections_)
{
server = cfg.getString(config_name + ".host");
@ -78,6 +79,9 @@ Pool::Pool(const Poco::Util::AbstractConfiguration & cfg, const std::string & co
enable_local_infile = cfg.getBool(config_name + ".enable_local_infile",
cfg.getBool(parent_config_name + ".enable_local_infile", MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE));
opt_reconnect = cfg.getBool(config_name + ".opt_reconnect",
cfg.getBool(parent_config_name + ".opt_reconnect", MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT));
}
else
{
@ -96,6 +100,8 @@ Pool::Pool(const Poco::Util::AbstractConfiguration & cfg, const std::string & co
enable_local_infile = cfg.getBool(
config_name + ".enable_local_infile", MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE);
opt_reconnect = cfg.getBool(config_name + ".opt_reconnect", MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT);
}
connect_timeout = cfg.getInt(config_name + ".connect_timeout",
@ -125,20 +131,30 @@ Pool::Entry Pool::get()
initialize();
for (;;)
{
logger.trace("(%s): Iterating through existing MySQL connections", getDescription());
for (auto & connection : connections)
{
if (connection->ref_count == 0)
return Entry(connection, this);
}
logger.trace("(%s): Trying to allocate a new connection.", getDescription());
if (connections.size() < static_cast<size_t>(max_connections))
{
Connection * conn = allocConnection();
if (conn)
return Entry(conn, this);
logger.trace("(%s): Unable to create a new connection: Allocation failed.", getDescription());
}
else
{
logger.trace("(%s): Unable to create a new connection: Max number of connections has been reached.", getDescription());
}
lock.unlock();
logger.trace("(%s): Sleeping for %d seconds.", getDescription(), MYSQLXX_POOL_SLEEP_ON_CONNECT_FAIL);
sleepForSeconds(MYSQLXX_POOL_SLEEP_ON_CONNECT_FAIL);
lock.lock();
}
@ -162,8 +178,7 @@ Pool::Entry Pool::tryGet()
if (res.tryForceConnected()) /// Tries to reestablish connection as well
return res;
auto & logger = Poco::Util::Application::instance().logger();
logger.information("Idle connection to mysql server cannot be recovered, dropping it.");
logger.debug("(%s): Idle connection to MySQL server cannot be recovered, dropping it.", getDescription());
/// This one is disconnected, cannot be reestablished and so needs to be disposed of.
connection_it = connections.erase(connection_it);
@ -186,6 +201,8 @@ Pool::Entry Pool::tryGet()
void Pool::removeConnection(Connection* connection)
{
logger.trace("(%s): Removing connection.", getDescription());
std::lock_guard<std::mutex> lock(mutex);
if (connection)
{
@ -210,8 +227,6 @@ void Pool::Entry::forceConnected() const
if (data == nullptr)
throw Poco::RuntimeException("Tried to access NULL database connection.");
Poco::Util::Application & app = Poco::Util::Application::instance();
bool first = true;
while (!tryForceConnected())
{
@ -220,7 +235,7 @@ void Pool::Entry::forceConnected() const
else
sleepForSeconds(MYSQLXX_POOL_SLEEP_ON_CONNECT_FAIL);
app.logger().information("MYSQL: Reconnecting to " + pool->description);
pool->logger.debug("Entry: Reconnecting to MySQL server %s", pool->description);
data->conn.connect(
pool->db.c_str(),
pool->server.c_str(),
@ -233,7 +248,8 @@ void Pool::Entry::forceConnected() const
pool->ssl_key.c_str(),
pool->connect_timeout,
pool->rw_timeout,
pool->enable_local_infile);
pool->enable_local_infile,
pool->opt_reconnect);
}
}
@ -242,18 +258,22 @@ bool Pool::Entry::tryForceConnected() const
{
auto * const mysql_driver = data->conn.getDriver();
const auto prev_connection_id = mysql_thread_id(mysql_driver);
pool->logger.trace("Entry(connection %lu): sending PING to check if it is alive.", prev_connection_id);
if (data->conn.ping()) /// Attempts to reestablish lost connection
{
const auto current_connection_id = mysql_thread_id(mysql_driver);
if (prev_connection_id != current_connection_id)
{
auto & logger = Poco::Util::Application::instance().logger();
logger.information("Connection to mysql server has been reestablished. Connection id changed: %lu -> %lu",
prev_connection_id, current_connection_id);
pool->logger.debug("Entry(connection %lu): Reconnected to MySQL server. Connection id changed: %lu -> %lu",
current_connection_id, prev_connection_id, current_connection_id);
}
pool->logger.trace("Entry(connection %lu): PING ok.", current_connection_id);
return true;
}
pool->logger.trace("Entry(connection %lu): PING failed.", prev_connection_id);
return false;
}
@ -274,15 +294,13 @@ void Pool::initialize()
Pool::Connection * Pool::allocConnection(bool dont_throw_if_failed_first_time)
{
Poco::Util::Application & app = Poco::Util::Application::instance();
std::unique_ptr<Connection> conn(new Connection);
std::unique_ptr<Connection> conn_ptr{new Connection};
try
{
app.logger().information("MYSQL: Connecting to " + description);
logger.debug("Connecting to %s", description);
conn->conn.connect(
conn_ptr->conn.connect(
db.c_str(),
server.c_str(),
user.c_str(),
@ -294,29 +312,29 @@ Pool::Connection * Pool::allocConnection(bool dont_throw_if_failed_first_time)
ssl_key.c_str(),
connect_timeout,
rw_timeout,
enable_local_infile);
enable_local_infile,
opt_reconnect);
}
catch (mysqlxx::ConnectionFailed & e)
{
logger.error(e.what());
if ((!was_successful && !dont_throw_if_failed_first_time)
|| e.errnum() == ER_ACCESS_DENIED_ERROR
|| e.errnum() == ER_DBACCESS_DENIED_ERROR
|| e.errnum() == ER_BAD_DB_ERROR)
{
app.logger().error(e.what());
throw;
}
else
{
app.logger().error(e.what());
return nullptr;
}
}
connections.push_back(conn_ptr.get());
was_successful = true;
auto * connection = conn.release();
connections.push_back(connection);
return connection;
return conn_ptr.release();
}
}

View File

@ -6,6 +6,8 @@
#include <atomic>
#include <Poco/Exception.h>
#include <Poco/Logger.h>
#include <mysqlxx/Connection.h>
@ -165,19 +167,21 @@ public:
unsigned rw_timeout_ = MYSQLXX_DEFAULT_RW_TIMEOUT,
unsigned default_connections_ = MYSQLXX_POOL_DEFAULT_START_CONNECTIONS,
unsigned max_connections_ = MYSQLXX_POOL_DEFAULT_MAX_CONNECTIONS,
unsigned enable_local_infile_ = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE)
: default_connections(default_connections_), max_connections(max_connections_),
db(db_), server(server_), user(user_), password(password_), port(port_), socket(socket_),
connect_timeout(connect_timeout_), rw_timeout(rw_timeout_), enable_local_infile(enable_local_infile_) {}
unsigned enable_local_infile_ = MYSQLXX_DEFAULT_ENABLE_LOCAL_INFILE,
bool opt_reconnect_ = MYSQLXX_DEFAULT_MYSQL_OPT_RECONNECT)
: logger(Poco::Logger::get("mysqlxx::Pool")), default_connections(default_connections_),
max_connections(max_connections_), db(db_), server(server_), user(user_), password(password_), port(port_), socket(socket_),
connect_timeout(connect_timeout_), rw_timeout(rw_timeout_), enable_local_infile(enable_local_infile_),
opt_reconnect(opt_reconnect_) {}
Pool(const Pool & other)
: default_connections{other.default_connections},
: logger(other.logger), default_connections{other.default_connections},
max_connections{other.max_connections},
db{other.db}, server{other.server},
user{other.user}, password{other.password},
port{other.port}, socket{other.socket},
connect_timeout{other.connect_timeout}, rw_timeout{other.rw_timeout},
enable_local_infile{other.enable_local_infile}
enable_local_infile{other.enable_local_infile}, opt_reconnect(other.opt_reconnect)
{}
Pool & operator=(const Pool &) = delete;
@ -201,6 +205,8 @@ public:
void removeConnection(Connection * connection);
protected:
Poco::Logger & logger;
/// Number of MySQL connections which are created at launch.
unsigned default_connections;
/// Maximum possible number of connections
@ -231,6 +237,7 @@ private:
std::string ssl_cert;
std::string ssl_key;
bool enable_local_infile;
bool opt_reconnect;
/// True if connection was established at least once.
bool was_successful{false};

View File

@ -1,3 +1,8 @@
#include <algorithm>
#include <ctime>
#include <random>
#include <thread>
#include <mysqlxx/PoolWithFailover.h>
@ -33,6 +38,19 @@ PoolWithFailover::PoolWithFailover(const Poco::Util::AbstractConfiguration & con
std::make_shared<Pool>(config_, replica_name, default_connections_, max_connections_, config_name_.c_str()));
}
}
/// PoolWithFailover objects are stored in a cache inside PoolFactory.
/// This cache is reset by ExternalDictionariesLoader after every SYSTEM RELOAD DICTIONAR{Y|IES}
/// which triggers massive re-constructing of connection pools.
/// The state of PRNGs like std::mt19937 is considered to be quite heavy
/// thus here we attempt to optimize its construction.
static thread_local std::mt19937 rnd_generator(
std::hash<std::thread::id>{}(std::this_thread::get_id()) + std::clock());
for (auto & [_, replicas] : replicas_by_priority)
{
if (replicas.size() > 1)
std::shuffle(replicas.begin(), replicas.end(), rnd_generator);
}
}
else
{

View File

@ -1,11 +1,16 @@
#if __has_include(<mysql.h>)
#include <errmsg.h>
#include <mysql.h>
#else
#include <mysql/errmsg.h>
#include <mysql/mysql.h>
#endif
#include <Poco/Logger.h>
#include <mysqlxx/Connection.h>
#include <mysqlxx/Query.h>
#include <mysqlxx/Types.h>
namespace mysqlxx
@ -57,8 +62,24 @@ void Query::reset()
void Query::executeImpl()
{
std::string query_string = query_buf.str();
if (mysql_real_query(conn->getDriver(), query_string.data(), query_string.size()))
throw BadQuery(errorMessage(conn->getDriver()), mysql_errno(conn->getDriver()));
MYSQL* mysql_driver = conn->getDriver();
auto & logger = Poco::Logger::get("mysqlxx::Query");
logger.trace("Running MySQL query using connection %lu", mysql_thread_id(mysql_driver));
if (mysql_real_query(mysql_driver, query_string.data(), query_string.size()))
{
const auto err_no = mysql_errno(mysql_driver);
switch (err_no)
{
case CR_SERVER_GONE_ERROR:
[[fallthrough]];
case CR_SERVER_LOST:
throw ConnectionLost(errorMessage(mysql_driver), err_no);
default:
throw BadQuery(errorMessage(mysql_driver), err_no);
}
}
}
UseQueryResult Query::use()

View File

@ -1,9 +1,9 @@
# This strings autochanged from release_lib.sh:
SET(VERSION_REVISION 54448)
SET(VERSION_REVISION 54449)
SET(VERSION_MAJOR 21)
SET(VERSION_MINOR 3)
SET(VERSION_MINOR 4)
SET(VERSION_PATCH 1)
SET(VERSION_GITHASH ef72ba7349f230321750c13ee63b49a11a7c0adc)
SET(VERSION_DESCRIBE v21.3.1.1-prestable)
SET(VERSION_STRING 21.3.1.1)
SET(VERSION_GITHASH af2135ef9dc72f16fa4f229b731262c3f0a8bbdc)
SET(VERSION_DESCRIBE v21.4.1.1-prestable)
SET(VERSION_STRING 21.4.1.1)
# end of autochange

View File

@ -32,27 +32,25 @@ if (CCACHE_FOUND AND NOT COMPILER_MATCHES_CCACHE)
if (CCACHE_VERSION VERSION_GREATER "3.2.0" OR NOT CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
message(STATUS "Using ${CCACHE_FOUND} ${CCACHE_VERSION}")
# debian (debhlpers) set SOURCE_DATE_EPOCH environment variable, that is
set_property (GLOBAL PROPERTY RULE_LAUNCH_COMPILE ${CCACHE_FOUND})
set_property (GLOBAL PROPERTY RULE_LAUNCH_LINK ${CCACHE_FOUND})
# debian (debhelpers) set SOURCE_DATE_EPOCH environment variable, that is
# filled from the debian/changelog or current time.
#
# - 4.0+ ccache always includes this environment variable into the hash
# of the manifest, which do not allow to use previous cache,
# - 4.2+ ccache ignores SOURCE_DATE_EPOCH under time_macros sloppiness.
# - 4.2+ ccache ignores SOURCE_DATE_EPOCH for every file w/o __DATE__/__TIME__
#
# So for:
# - 4.2+ time_macros sloppiness is used,
# - 4.2+ does not require any sloppiness
# - 4.0+ will ignore SOURCE_DATE_EPOCH environment variable.
if (CCACHE_VERSION VERSION_GREATER_EQUAL "4.2")
message(STATUS "Use time_macros sloppiness for ccache")
set_property (GLOBAL PROPERTY RULE_LAUNCH_COMPILE "${CCACHE_FOUND} --set-config=sloppiness=time_macros")
set_property (GLOBAL PROPERTY RULE_LAUNCH_LINK "${CCACHE_FOUND} --set-config=sloppiness=time_macros")
message(STATUS "ccache is 4.2+ no quirks for SOURCE_DATE_EPOCH required")
elseif (CCACHE_VERSION VERSION_GREATER_EQUAL "4.0")
message(STATUS "Ignore SOURCE_DATE_EPOCH for ccache")
set_property (GLOBAL PROPERTY RULE_LAUNCH_COMPILE "env -u SOURCE_DATE_EPOCH ${CCACHE_FOUND}")
set_property (GLOBAL PROPERTY RULE_LAUNCH_LINK "env -u SOURCE_DATE_EPOCH ${CCACHE_FOUND}")
else()
set_property (GLOBAL PROPERTY RULE_LAUNCH_COMPILE ${CCACHE_FOUND})
set_property (GLOBAL PROPERTY RULE_LAUNCH_LINK ${CCACHE_FOUND})
endif()
else ()
message(${RECONFIGURE_MESSAGE_LEVEL} "Not using ${CCACHE_FOUND} ${CCACHE_VERSION} bug: https://bugzilla.samba.org/show_bug.cgi?id=8118")

2
contrib/NuRaft vendored

@ -1 +1 @@
Subproject commit 7adf7ae33e7d5c307342431b577c8ab1025ee793
Subproject commit 9a0d78de4b90546368d954b6434f0e9a823e8d80

2
contrib/boost vendored

@ -1 +1 @@
Subproject commit 48f40ebb539220d328958f8823b094c0b07a4e79
Subproject commit ee24fa55bc46e4d2ce7d0d052cc5a0d9b1be8c36

2
contrib/brotli vendored

@ -1 +1 @@
Subproject commit 5805f99a533a8f8118699c0100d8c102f3605f65
Subproject commit 63be8a99401992075c23e99f7c84de1c653e39e2

View File

@ -2,6 +2,8 @@ set(BROTLI_SOURCE_DIR ${ClickHouse_SOURCE_DIR}/contrib/brotli/c)
set(BROTLI_BINARY_DIR ${ClickHouse_BINARY_DIR}/contrib/brotli/c)
set(SRCS
${BROTLI_SOURCE_DIR}/enc/command.c
${BROTLI_SOURCE_DIR}/enc/fast_log.c
${BROTLI_SOURCE_DIR}/dec/bit_reader.c
${BROTLI_SOURCE_DIR}/dec/state.c
${BROTLI_SOURCE_DIR}/dec/huffman.c
@ -26,6 +28,9 @@ set(SRCS
${BROTLI_SOURCE_DIR}/enc/memory.c
${BROTLI_SOURCE_DIR}/common/dictionary.c
${BROTLI_SOURCE_DIR}/common/transform.c
${BROTLI_SOURCE_DIR}/common/platform.c
${BROTLI_SOURCE_DIR}/common/context.c
${BROTLI_SOURCE_DIR}/common/constants.c
)
add_library(brotli ${SRCS})

4
debian/changelog vendored
View File

@ -1,5 +1,5 @@
clickhouse (21.3.1.1) unstable; urgency=low
clickhouse (21.4.1.1) unstable; urgency=low
* Modified source code
-- clickhouse-release <clickhouse-release@yandex-team.ru> Mon, 01 Feb 2021 12:50:53 +0300
-- clickhouse-release <clickhouse-release@yandex-team.ru> Sat, 06 Mar 2021 14:43:27 +0300

View File

@ -1,7 +1,7 @@
FROM ubuntu:18.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG version=21.3.1.*
ARG version=21.4.1.*
RUN apt-get update \
&& apt-get install --yes --no-install-recommends \

View File

@ -1,7 +1,7 @@
FROM ubuntu:20.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG version=21.3.1.*
ARG version=21.4.1.*
ARG gosu_ver=1.10
# user/group precreated explicitly with fixed uid/gid on purpose.

View File

@ -1,7 +1,7 @@
FROM ubuntu:18.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG version=21.3.1.*
ARG version=21.4.1.*
RUN apt-get update && \
apt-get install -y apt-transport-https dirmngr && \

View File

@ -47,6 +47,7 @@ RUN apt-get update \
expect \
fakeroot \
git \
gdb \
gperf \
lld-${LLVM_VERSION} \
llvm-${LLVM_VERSION} \

View File

@ -70,6 +70,7 @@ function start_server
--path "$FASTTEST_DATA"
--user_files_path "$FASTTEST_DATA/user_files"
--top_level_domains_path "$FASTTEST_DATA/top_level_domains"
--test_keeper_server.log_storage_path "$FASTTEST_DATA/coordination"
)
clickhouse-server "${opts[@]}" &>> "$FASTTEST_OUTPUT/server.log" &
server_pid=$!
@ -107,6 +108,18 @@ function start_server
fi
echo "ClickHouse server pid '$server_pid' started and responded"
echo "
handle all noprint
handle SIGSEGV stop print
handle SIGBUS stop print
handle SIGABRT stop print
continue
thread apply all backtrace
continue
" > script.gdb
gdb -batch -command script.gdb -p "$server_pid" &
}
function clone_root
@ -259,6 +272,7 @@ function run_tests
00929_multi_match_edit_distance
01681_hyperscan_debug_assertion
01176_mysql_client_interactive # requires mysql client
01031_mutations_interpreter_and_context
01053_ssd_dictionary # this test mistakenly requires acces to /var/lib/clickhouse -- can't run this locally, disabled
01083_expressions_in_engine_arguments
@ -326,7 +340,7 @@ function run_tests
# Look at DistributedFilesToInsert, so cannot run in parallel.
01460_DistributedFilesToInsert
01541_max_memory_usage_for_user
01541_max_memory_usage_for_user_long
# Require python libraries like scipy, pandas and numpy
01322_ttest_scipy
@ -344,7 +358,7 @@ function run_tests
01666_blns
)
time clickhouse-test --hung-check -j 8 --order=random --use-skip-list --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" -- "$FASTTEST_FOCUS" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/test_log.txt"
(time clickhouse-test --hung-check -j 8 --order=random --use-skip-list --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" -- "$FASTTEST_FOCUS" 2>&1 ||:) | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/test_log.txt"
# substr is to remove semicolon after test name
readarray -t FAILED_TESTS < <(awk '/\[ FAIL|TIMEOUT|ERROR \]/ { print substr($3, 1, length($3)-1) }' "$FASTTEST_OUTPUT/test_log.txt" | tee "$FASTTEST_OUTPUT/failed-parallel-tests.txt")
@ -361,7 +375,7 @@ function run_tests
stop_server ||:
# Clean the data so that there is no interference from the previous test run.
rm -rf "$FASTTEST_DATA"/{{meta,}data,user_files} ||:
rm -rf "$FASTTEST_DATA"/{{meta,}data,user_files,coordination} ||:
start_server

View File

@ -18,7 +18,8 @@ RUN apt-get update \
curl \
tar \
krb5-user \
iproute2
iproute2 \
lsof
RUN rm -rf \
/var/lib/apt/lists/* \
/var/cache/debconf \

View File

@ -58,7 +58,7 @@ RUN dockerd --version; docker --version
RUN python3 -m pip install \
PyMySQL \
aerospike \
aerospike==4.0.0 \
avro \
cassandra-driver \
confluent-kafka==1.5.0 \

View File

@ -4,4 +4,4 @@ services:
image: cassandra
restart: always
ports:
- 9043:9042
- 9043:9042

View File

@ -5,6 +5,6 @@ services:
hostname: hdfs1
restart: always
ports:
- 50075:50075
- 50070:50070
- 50075:50075
- 50070:50070
entrypoint: /etc/bootstrap.sh -d

View File

@ -5,42 +5,42 @@ services:
image: zookeeper:3.4.9
hostname: kafka_zookeeper
environment:
ZOO_MY_ID: 1
ZOO_PORT: 2181
ZOO_SERVERS: server.1=kafka_zookeeper:2888:3888
ZOO_MY_ID: 1
ZOO_PORT: 2181
ZOO_SERVERS: server.1=kafka_zookeeper:2888:3888
security_opt:
- label:disable
- label:disable
kafka1:
image: confluentinc/cp-kafka:5.2.0
hostname: kafka1
ports:
- "9092:9092"
- "9092:9092"
environment:
KAFKA_ADVERTISED_LISTENERS: INSIDE://localhost:9092,OUTSIDE://kafka1:19092
KAFKA_LISTENERS: INSIDE://:9092,OUTSIDE://:19092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: "kafka_zookeeper:2181"
KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_ADVERTISED_LISTENERS: INSIDE://localhost:9092,OUTSIDE://kafka1:19092
KAFKA_LISTENERS: INSIDE://:9092,OUTSIDE://:19092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: "kafka_zookeeper:2181"
KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
depends_on:
- kafka_zookeeper
- kafka_zookeeper
security_opt:
- label:disable
- label:disable
schema-registry:
image: confluentinc/cp-schema-registry:5.2.0
hostname: schema-registry
ports:
- "8081:8081"
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_SECURITY_PROTOCOL: PLAINTEXT
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: PLAINTEXT://kafka1:19092
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_SECURITY_PROTOCOL: PLAINTEXT
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: PLAINTEXT://kafka1:19092
depends_on:
- kafka_zookeeper
- kafka1
- kafka_zookeeper
- kafka1
security_opt:
- label:disable
- label:disable

View File

@ -8,22 +8,22 @@ services:
hostname: kerberizedhdfs1
restart: always
volumes:
- ${KERBERIZED_HDFS_DIR}/../../hdfs_configs/bootstrap.sh:/etc/bootstrap.sh:ro
- ${KERBERIZED_HDFS_DIR}/secrets:/usr/local/hadoop/etc/hadoop/conf
- ${KERBERIZED_HDFS_DIR}/secrets/krb_long.conf:/etc/krb5.conf:ro
- ${KERBERIZED_HDFS_DIR}/../../hdfs_configs/bootstrap.sh:/etc/bootstrap.sh:ro
- ${KERBERIZED_HDFS_DIR}/secrets:/usr/local/hadoop/etc/hadoop/conf
- ${KERBERIZED_HDFS_DIR}/secrets/krb_long.conf:/etc/krb5.conf:ro
ports:
- 1006:1006
- 50070:50070
- 9010:9010
depends_on:
- hdfskerberos
- hdfskerberos
entrypoint: /etc/bootstrap.sh -d
hdfskerberos:
image: yandex/clickhouse-kerberos-kdc:${DOCKER_KERBEROS_KDC_TAG}
hostname: hdfskerberos
volumes:
- ${KERBERIZED_HDFS_DIR}/secrets:/tmp/keytab
- ${KERBERIZED_HDFS_DIR}/../../kerberos_image_config.sh:/config.sh
- /dev/urandom:/dev/random
- ${KERBERIZED_HDFS_DIR}/secrets:/tmp/keytab
- ${KERBERIZED_HDFS_DIR}/../../kerberos_image_config.sh:/config.sh
- /dev/urandom:/dev/random
ports: [88, 749]

View File

@ -6,54 +6,54 @@ services:
# restart: always
hostname: kafka_kerberized_zookeeper
environment:
ZOOKEEPER_SERVER_ID: 1
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_SERVERS: "kafka_kerberized_zookeeper:2888:3888"
KAFKA_OPTS: "-Djava.security.auth.login.config=/etc/kafka/secrets/zookeeper_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dzookeeper.authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider -Dsun.security.krb5.debug=true"
ZOOKEEPER_SERVER_ID: 1
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_SERVERS: "kafka_kerberized_zookeeper:2888:3888"
KAFKA_OPTS: "-Djava.security.auth.login.config=/etc/kafka/secrets/zookeeper_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dzookeeper.authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider -Dsun.security.krb5.debug=true"
volumes:
- ${KERBERIZED_KAFKA_DIR}/secrets:/etc/kafka/secrets
- /dev/urandom:/dev/random
- ${KERBERIZED_KAFKA_DIR}/secrets:/etc/kafka/secrets
- /dev/urandom:/dev/random
depends_on:
- kafka_kerberos
- kafka_kerberos
security_opt:
- label:disable
- label:disable
kerberized_kafka1:
image: confluentinc/cp-kafka:5.2.0
# restart: always
hostname: kerberized_kafka1
ports:
- "9092:9092"
- "9093:9093"
- "9092:9092"
- "9093:9093"
environment:
KAFKA_LISTENERS: OUTSIDE://:19092,UNSECURED_OUTSIDE://:19093,UNSECURED_INSIDE://:9093
KAFKA_ADVERTISED_LISTENERS: OUTSIDE://kerberized_kafka1:19092,UNSECURED_OUTSIDE://kerberized_kafka1:19093,UNSECURED_INSIDE://localhost:9093
# KAFKA_LISTENERS: INSIDE://kerberized_kafka1:9092,OUTSIDE://kerberized_kafka1:19092
# KAFKA_ADVERTISED_LISTENERS: INSIDE://localhost:9092,OUTSIDE://kerberized_kafka1:19092
KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL: GSSAPI
KAFKA_SASL_ENABLED_MECHANISMS: GSSAPI
KAFKA_SASL_KERBEROS_SERVICE_NAME: kafka
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: OUTSIDE:SASL_PLAINTEXT,UNSECURED_OUTSIDE:PLAINTEXT,UNSECURED_INSIDE:PLAINTEXT,
KAFKA_INTER_BROKER_LISTENER_NAME: OUTSIDE
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: "kafka_kerberized_zookeeper:2181"
KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_OPTS: "-Djava.security.auth.login.config=/etc/kafka/secrets/broker_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dsun.security.krb5.debug=true"
KAFKA_LISTENERS: OUTSIDE://:19092,UNSECURED_OUTSIDE://:19093,UNSECURED_INSIDE://:9093
KAFKA_ADVERTISED_LISTENERS: OUTSIDE://kerberized_kafka1:19092,UNSECURED_OUTSIDE://kerberized_kafka1:19093,UNSECURED_INSIDE://localhost:9093
# KAFKA_LISTENERS: INSIDE://kerberized_kafka1:9092,OUTSIDE://kerberized_kafka1:19092
# KAFKA_ADVERTISED_LISTENERS: INSIDE://localhost:9092,OUTSIDE://kerberized_kafka1:19092
KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL: GSSAPI
KAFKA_SASL_ENABLED_MECHANISMS: GSSAPI
KAFKA_SASL_KERBEROS_SERVICE_NAME: kafka
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: OUTSIDE:SASL_PLAINTEXT,UNSECURED_OUTSIDE:PLAINTEXT,UNSECURED_INSIDE:PLAINTEXT,
KAFKA_INTER_BROKER_LISTENER_NAME: OUTSIDE
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: "kafka_kerberized_zookeeper:2181"
KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_OPTS: "-Djava.security.auth.login.config=/etc/kafka/secrets/broker_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dsun.security.krb5.debug=true"
volumes:
- ${KERBERIZED_KAFKA_DIR}/secrets:/etc/kafka/secrets
- /dev/urandom:/dev/random
- ${KERBERIZED_KAFKA_DIR}/secrets:/etc/kafka/secrets
- /dev/urandom:/dev/random
depends_on:
- kafka_kerberized_zookeeper
- kafka_kerberos
- kafka_kerberized_zookeeper
- kafka_kerberos
security_opt:
- label:disable
- label:disable
kafka_kerberos:
image: yandex/clickhouse-kerberos-kdc:${DOCKER_KERBEROS_KDC_TAG:-latest}
hostname: kafka_kerberos
volumes:
- ${KERBERIZED_KAFKA_DIR}/secrets:/tmp/keytab
- ${KERBERIZED_KAFKA_DIR}/../../kerberos_image_config.sh:/config.sh
- /dev/urandom:/dev/random
- ${KERBERIZED_KAFKA_DIR}/secrets:/tmp/keytab
- ${KERBERIZED_KAFKA_DIR}/../../kerberos_image_config.sh:/config.sh
- /dev/urandom:/dev/random
ports: [88, 749]

View File

@ -7,5 +7,5 @@ services:
MONGO_INITDB_ROOT_USERNAME: root
MONGO_INITDB_ROOT_PASSWORD: clickhouse
ports:
- 27018:27017
- 27018:27017
command: --profile=2 --verbose

View File

@ -6,5 +6,5 @@ services:
environment:
MYSQL_ROOT_PASSWORD: clickhouse
ports:
- 3308:3306
- 3308:3306
command: --server_id=100 --log-bin='mysql-bin-1.log' --default-time-zone='+3:00' --gtid-mode="ON" --enforce-gtid-consistency

View File

@ -6,5 +6,9 @@ services:
environment:
MYSQL_ROOT_PASSWORD: clickhouse
ports:
- 3308:3306
command: --server_id=100 --log-bin='mysql-bin-1.log' --default-time-zone='+3:00' --gtid-mode="ON" --enforce-gtid-consistency
- 3308:3306
command: --server_id=100 --log-bin='mysql-bin-1.log'
--default-time-zone='+3:00'
--gtid-mode="ON"
--enforce-gtid-consistency
--log-error-verbosity=3

View File

@ -6,5 +6,10 @@ services:
environment:
MYSQL_ROOT_PASSWORD: clickhouse
ports:
- 33308:3306
command: --server_id=100 --log-bin='mysql-bin-1.log' --default_authentication_plugin='mysql_native_password' --default-time-zone='+3:00' --gtid-mode="ON" --enforce-gtid-consistency
- 33308:3306
command: --server_id=100 --log-bin='mysql-bin-1.log'
--default_authentication_plugin='mysql_native_password'
--default-time-zone='+3:00'
--gtid-mode="ON"
--enforce-gtid-consistency
--log-error-verbosity=3

View File

@ -7,7 +7,7 @@ services:
MYSQL_ALLOW_EMPTY_PASSWORD: 1
command: --federated --socket /var/run/mysqld/mysqld.sock
healthcheck:
test: ["CMD", "mysqladmin" ,"ping", "-h", "localhost"]
test: ["CMD", "mysqladmin", "ping", "-h", "localhost"]
interval: 1s
timeout: 2s
retries: 100

View File

@ -11,4 +11,4 @@ services:
ports:
- "5433:5433"
environment:
POSTGRES_HOST_AUTH_METHOD: "trust"
POSTGRES_HOST_AUTH_METHOD: "trust"

View File

@ -6,8 +6,8 @@ services:
environment:
POSTGRES_PASSWORD: mysecretpassword
ports:
- 5432:5432
- 5432:5432
networks:
default:
aliases:
- postgre-sql.local
default:
aliases:
- postgre-sql.local

View File

@ -4,5 +4,5 @@ services:
image: redis
restart: always
ports:
- 6380:6379
- 6380:6379
command: redis-server --requirepass "clickhouse" --databases 32

View File

@ -1,11 +1,11 @@
version: '2.3'
services:
zoo1:
image: zookeeper:3.4.12
image: zookeeper:3.6.2
restart: always
environment:
ZOO_TICK_TIME: 500
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=zoo3:2888:3888;2181
ZOO_MY_ID: 1
JVMFLAGS: -Dzookeeper.forceSync=no
volumes:
@ -16,11 +16,11 @@ services:
source: ${ZK_DATA_LOG1:-}
target: /datalog
zoo2:
image: zookeeper:3.4.12
image: zookeeper:3.6.2
restart: always
environment:
ZOO_TICK_TIME: 500
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=zoo3:2888:3888
ZOO_MY_ID: 2
JVMFLAGS: -Dzookeeper.forceSync=no
volumes:
@ -31,11 +31,11 @@ services:
source: ${ZK_DATA_LOG2:-}
target: /datalog
zoo3:
image: zookeeper:3.4.12
image: zookeeper:3.6.2
restart: always
environment:
ZOO_TICK_TIME: 500
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=zoo3:2888:3888;2181
ZOO_MY_ID: 3
JVMFLAGS: -Dzookeeper.forceSync=no
volumes:

View File

@ -97,6 +97,7 @@ function configure
rm -r right/db ||:
rm -r db0/preprocessed_configs ||:
rm -r db0/{data,metadata}/system ||:
rm db0/status ||:
cp -al db0/ left/db/
cp -al db0/ right/db/
}
@ -357,6 +358,8 @@ mkdir analyze analyze/tmp ||:
build_log_column_definitions
# Split the raw test output into files suitable for analysis.
# To debug calculations only for a particular test, substitute a suitable
# wildcard here, e.g. `for test_file in modulo-raw.tsv`.
for test_file in *-raw.tsv
do
test_name=$(basename "$test_file" "-raw.tsv")
@ -466,7 +469,13 @@ create view broken_queries as
create table query_run_metrics_for_stats engine File(
TSV, -- do not add header -- will parse with grep
'analyze/query-run-metrics-for-stats.tsv')
as select test, query_index, 0 run, version, metric_values
as select test, query_index, 0 run, version,
-- For debugging, add a filter for a particular metric like this:
-- arrayFilter(m, n -> n = 'client_time', metric_values, metric_names)
-- metric_values
-- Note that further reporting may break, because the metric names are
-- not filtered.
metric_values
from query_run_metric_arrays
where (test, query_index) not in broken_queries
order by test, query_index, run, version
@ -584,8 +593,19 @@ create view query_metric_stats as
-- Main statistics for queries -- query time as reported in query log.
create table queries engine File(TSVWithNamesAndTypes, 'report/queries.tsv')
as select
abs(diff) > report_threshold and abs(diff) > stat_threshold as changed_fail,
abs(diff) > report_threshold - 0.05 and abs(diff) > stat_threshold as changed_show,
-- It is important to have a non-strict inequality with stat_threshold
-- here. The randomization distribution is actually discrete, and when
-- the number of runs is small, the quantile we need (e.g. 0.99) turns
-- out to be the maximum value of the distribution. We can also hit this
-- maximum possible value with our test run, and this obviously means
-- that we have observed the difference to the best precision possible
-- for the given number of runs. If we use a strict equality here, we
-- will miss such cases. This happened in the wild and lead to some
-- uncaught regressions, because for the default 7 runs we do for PRs,
-- the randomization distribution has only 16 values, so the max quantile
-- is actually 0.9375.
abs(diff) > report_threshold and abs(diff) >= stat_threshold as changed_fail,
abs(diff) > report_threshold - 0.05 and abs(diff) >= stat_threshold as changed_show,
not changed_fail and stat_threshold > report_threshold + 0.10 as unstable_fail,
not changed_show and stat_threshold > report_threshold - 0.05 as unstable_show,

View File

@ -0,0 +1,10 @@
<yandex>
<!-- Directory with user provided files that are accessible by 'file' table function. -->
<user_files_path>/var/lib/clickhouse/user_files/</user_files_path>
<!-- Path to configuration file with users, access rights, profiles of settings, quotas. -->
<users_config>users.xml</users_config>
<!-- Path to directory where users created by SQL commands are stored. -->
<access_control_path>access/</access_control_path>
</yandex>

View File

@ -19,4 +19,9 @@
<max_threads>12</max_threads>
</default>
</profiles>
<users>
<default>
<access_management>1</access_management>
</default>
</users>
</yandex>

View File

@ -1,4 +1,6 @@
-- input is table(test text, query text, run UInt32, version int, metrics Array(float))
-- The input is table(test text, query text, run UInt32, version UInt8, metrics Array(float)).
-- Run like this:
-- clickhouse-local --queries-file eqmed.sql -S 'test text, query text, run UInt32, version UInt8, metrics Array(float)' --file analyze/tmp/modulo_0.tsv
select
arrayMap(x -> floor(x, 4), original_medians_array.medians_by_version[1] as l) l_rounded,
arrayMap(x -> floor(x, 4), original_medians_array.medians_by_version[2] as r) r_rounded,
@ -8,14 +10,19 @@ select
from
(
-- quantiles of randomization distributions
-- note that for small number of runs, the exact quantile might not make
-- sense, because the last possible value of randomization distribution
-- might take a larger percentage of distirbution (i.e. the distribution
-- actually has discrete values, and the last step can be large).
select quantileExactForEach(0.99)(
arrayMap(x, y -> abs(x - y), metrics_by_label[1], metrics_by_label[2]) as d
) threshold
---- uncomment to see what the distribution is really like
--, uniqExact(d.1) u
---- Uncomment to see what the distribution is really like. This debug
---- code only works for single (the first) metric.
--, uniqExact(d[1]) u
--, arraySort(x->x.1,
-- arrayZip(
-- (sumMap([d.1], [1]) as f).1,
-- (sumMap([d[1]], [1]) as f).1,
-- f.2)) full_histogram
from
(

View File

@ -60,4 +60,8 @@ fi
# more idiologically correct.
read -ra ADDITIONAL_OPTIONS <<< "${ADDITIONAL_OPTIONS:-}"
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
ADDITIONAL_OPTIONS+=('--replicated-database')
fi
clickhouse-test --testname --shard --zookeeper --no-stateless --hung-check --print-time "$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" "$SKIP_TESTS_OPTION" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee test_output/test_result.txt

View File

@ -3,6 +3,9 @@ FROM yandex/clickhouse-test-base
ARG odbc_driver_url="https://github.com/ClickHouse/clickhouse-odbc/releases/download/v1.1.4.20200302/clickhouse-odbc-1.1.4-Linux.tar.gz"
RUN echo "deb [trusted=yes] http://repo.mysql.com/apt/ubuntu/ bionic mysql-5.7" >> /etc/apt/sources.list \
&& apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 8C718D3B5072E1F5
RUN apt-get update -y \
&& env DEBIAN_FRONTEND=noninteractive \
apt-get install --yes --no-install-recommends \
@ -13,6 +16,7 @@ RUN apt-get update -y \
ncdu \
netcat-openbsd \
openssl \
protobuf-compiler \
python3 \
python3-lxml \
python3-requests \
@ -23,7 +27,8 @@ RUN apt-get update -y \
telnet \
tree \
unixodbc \
wget
wget \
mysql-client=5.7*
RUN pip3 install numpy scipy pandas

View File

@ -57,6 +57,10 @@ function run_tests()
ADDITIONAL_OPTIONS+=('4')
fi
if [[ -n "$USE_DATABASE_REPLICATED" ]] && [[ "$USE_DATABASE_REPLICATED" -eq 1 ]]; then
ADDITIONAL_OPTIONS+=('--replicated-database')
fi
clickhouse-test --testname --shard --zookeeper --hung-check --print-time \
--test-runs "$NUM_TRIES" \
"$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" 2>&1 \

View File

@ -8,16 +8,23 @@ dpkg -i package_folder/clickhouse-server_*.deb
dpkg -i package_folder/clickhouse-client_*.deb
dpkg -i package_folder/clickhouse-test_*.deb
function configure()
{
# install test configs
/usr/share/clickhouse-test/config/install.sh
# for clickhouse-server (via service)
echo "ASAN_OPTIONS='malloc_context_size=10 verbosity=1 allocator_release_to_os_interval_ms=10000'" >> /etc/environment
# for clickhouse-client
export ASAN_OPTIONS='malloc_context_size=10 allocator_release_to_os_interval_ms=10000'
# since we run clickhouse from root
sudo chown root: /var/lib/clickhouse
}
function stop()
{
timeout 120 service clickhouse-server stop
# Wait for process to disappear from processlist and also try to kill zombies.
while kill -9 "$(pidof clickhouse-server)"
do
echo "Killed clickhouse-server"
sleep 0.5
done
clickhouse stop
}
function start()
@ -33,19 +40,26 @@ function start()
tail -n1000 /var/log/clickhouse-server/clickhouse-server.log
break
fi
timeout 120 service clickhouse-server start
# use root to match with current uid
clickhouse start --user root >/var/log/clickhouse-server/stdout.log 2>/var/log/clickhouse-server/stderr.log
sleep 0.5
counter=$((counter + 1))
done
echo "
handle all noprint
handle SIGSEGV stop print
handle SIGBUS stop print
handle SIGABRT stop print
continue
thread apply all backtrace
continue
" > script.gdb
gdb -batch -command script.gdb -p "$(cat /var/run/clickhouse-server/clickhouse-server.pid)" &
}
# install test configs
/usr/share/clickhouse-test/config/install.sh
# for clickhouse-server (via service)
echo "ASAN_OPTIONS='malloc_context_size=10 verbosity=1 allocator_release_to_os_interval_ms=10000'" >> /etc/environment
# for clickhouse-client
export ASAN_OPTIONS='malloc_context_size=10 allocator_release_to_os_interval_ms=10000'
configure
start
@ -64,9 +78,11 @@ clickhouse-client --query "RENAME TABLE datasets.hits_v1 TO test.hits"
clickhouse-client --query "RENAME TABLE datasets.visits_v1 TO test.visits"
clickhouse-client --query "SHOW TABLES FROM test"
./stress --output-folder test_output --skip-func-tests "$SKIP_TESTS_OPTION"
./stress --hung-check --output-folder test_output --skip-func-tests "$SKIP_TESTS_OPTION" && echo "OK" > /test_output/script_exit_code.txt || echo "FAIL" > /test_output/script_exit_code.txt
stop
# TODO remove me when persistent snapshots will be ready
rm -fr /var/lib/clickhouse/coordination ||:
start
clickhouse-client --query "SELECT 'Server successfuly started'" > /test_output/alive_check.txt || echo 'Server failed to start' > /test_output/alive_check.txt

View File

@ -1,8 +1,9 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from multiprocessing import cpu_count
from subprocess import Popen, check_call
from subprocess import Popen, call, STDOUT
import os
import sys
import shutil
import argparse
import logging
@ -22,12 +23,15 @@ def get_options(i):
if 0 < i:
options += " --order=random"
if i % 2 == 1:
if i % 3 == 1:
options += " --db-engine=Ordinary"
if i % 3 == 2:
options += ''' --db-engine="Replicated('/test/db/test_{}', 's1', 'r1')"'''.format(i)
# If database name is not specified, new database is created for each functional test.
# Run some threads with one database for all tests.
if i % 3 == 1:
if i % 2 == 1:
options += " --database=test_{}".format(i)
if i == 13:
@ -64,7 +68,8 @@ if __name__ == "__main__":
parser.add_argument("--server-log-folder", default='/var/log/clickhouse-server')
parser.add_argument("--output-folder")
parser.add_argument("--global-time-limit", type=int, default=3600)
parser.add_argument("--num-parallel", default=cpu_count());
parser.add_argument("--num-parallel", default=cpu_count())
parser.add_argument('--hung-check', action='store_true', default=False)
args = parser.parse_args()
func_pipes = []
@ -81,4 +86,13 @@ if __name__ == "__main__":
logging.info("Finished %s from %s processes", len(retcodes), len(func_pipes))
time.sleep(5)
logging.info("All processes finished")
if args.hung_check:
logging.info("Checking if some queries hung")
cmd = "{} {} {}".format(args.test_cmd, "--hung-check", "00001_select_1")
res = call(cmd, shell=True, stderr=STDOUT)
if res != 0:
logging.info("Hung check failed with exit code {}".format(res))
sys.exit(1)
logging.info("Stress test finished")

View File

@ -1,7 +1,14 @@
# docker build -t yandex/clickhouse-style-test .
FROM ubuntu:20.04
RUN apt-get update && env DEBIAN_FRONTEND=noninteractive apt-get install --yes shellcheck libxml2-utils git python3-pip pylint && pip3 install codespell
RUN apt-get update && env DEBIAN_FRONTEND=noninteractive apt-get install --yes \
shellcheck \
libxml2-utils \
git \
python3-pip \
pylint \
yamllint \
&& pip3 install codespell
# For |& syntax

View File

@ -26,4 +26,4 @@ The name of an additional section can be any, for example, **Usage**.
- [link](#)
[Original article](https://clickhouse.tech/docs/en/data_types/<data-type-name>/) <!--hide-->
[Original article](https://clickhouse.tech/docs/en/data-types/<data-type-name>/) <!--hide-->

View File

@ -12,16 +12,20 @@ Alias: `<alias name>`. (Optional)
More text (Optional).
**Parameters** (Optional)
**Arguments** (Optional)
- `x` — Description. [Type name](relative/path/to/type/dscr.md#type).
- `y` — Description. [Type name](relative/path/to/type/dscr.md#type).
**Parameters** (Optional, only for parametric aggregate functions)
- `z` — Description. [Type name](relative/path/to/type/dscr.md#type).
**Returned value(s)**
- Returned values list.
- Returned values list.
Type: [Type](relative/path/to/type/dscr.md#type).
Type: [Type name](relative/path/to/type/dscr.md#type).
**Example**

View File

@ -8,10 +8,14 @@ Columns:
**Example**
Query:
``` sql
SELECT * FROM system.table_name
```
Result:
``` text
Some output. It shouldn't be too long.
```

View File

@ -38,20 +38,20 @@ SETTINGS
Required parameters:
- `kafka_broker_list` A comma-separated list of brokers (for example, `localhost:9092`).
- `kafka_topic_list` A list of Kafka topics.
- `kafka_group_name` A group of Kafka consumers. Reading margins are tracked for each group separately. If you dont want messages to be duplicated in the cluster, use the same group name everywhere.
- `kafka_format` Message format. Uses the same notation as the SQL `FORMAT` function, such as `JSONEachRow`. For more information, see the [Formats](../../../interfaces/formats.md) section.
- `kafka_broker_list` A comma-separated list of brokers (for example, `localhost:9092`).
- `kafka_topic_list` A list of Kafka topics.
- `kafka_group_name` A group of Kafka consumers. Reading margins are tracked for each group separately. If you dont want messages to be duplicated in the cluster, use the same group name everywhere.
- `kafka_format` Message format. Uses the same notation as the SQL `FORMAT` function, such as `JSONEachRow`. For more information, see the [Formats](../../../interfaces/formats.md) section.
Optional parameters:
- `kafka_row_delimiter` Delimiter character, which ends the message.
- `kafka_schema` Parameter that must be used if the format requires a schema definition. For example, [Capn Proto](https://capnproto.org/) requires the path to the schema file and the name of the root `schema.capnp:Message` object.
- `kafka_num_consumers` The number of consumers per table. Default: `1`. Specify more consumers if the throughput of one consumer is insufficient. The total number of consumers should not exceed the number of partitions in the topic, since only one consumer can be assigned per partition.
- `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).
- `kafka_row_delimiter` Delimiter character, which ends the message.
- `kafka_schema` Parameter that must be used if the format requires a schema definition. For example, [Capn Proto](https://capnproto.org/) requires the path to the schema file and the name of the root `schema.capnp:Message` object.
- `kafka_num_consumers` The number of consumers per table. Default: `1`. Specify more consumers if the throughput of one consumer is insufficient. The total number of consumers should not exceed the number of partitions in the topic, since only one consumer can be assigned per partition.
- `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:

View File

@ -59,10 +59,26 @@ Optional parameters:
- `rabbitmq_max_block_size`
- `rabbitmq_flush_interval_ms`
Required configuration:
Also format settings can be added along with rabbitmq-related settings.
Example:
``` sql
CREATE TABLE queue (
key UInt64,
value UInt64,
date DateTime
) ENGINE = RabbitMQ SETTINGS rabbitmq_host_port = 'localhost:5672',
rabbitmq_exchange_name = 'exchange1',
rabbitmq_format = 'JSONEachRow',
rabbitmq_num_consumers = 5,
date_time_input_format = 'best_effort';
```
The RabbitMQ server configuration should be added using the ClickHouse config file.
Required configuration:
``` xml
<rabbitmq>
<username>root</username>
@ -70,16 +86,12 @@ The RabbitMQ server configuration should be added using the ClickHouse config fi
</rabbitmq>
```
Example:
Additional configuration:
``` sql
CREATE TABLE queue (
key UInt64,
value UInt64
) ENGINE = RabbitMQ SETTINGS rabbitmq_host_port = 'localhost:5672',
rabbitmq_exchange_name = 'exchange1',
rabbitmq_format = 'JSONEachRow',
rabbitmq_num_consumers = 5;
``` xml
<rabbitmq>
<vhost>clickhouse</vhost>
</rabbitmq>
```
## Description {#description}
@ -105,6 +117,7 @@ Exchange type options:
- `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`.
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 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 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.
- to reuse queues as they are declared durable and not auto-deleted. (Can be deleted via any of RabbitMQ CLI tools.)

View File

@ -31,6 +31,12 @@ Also it accept the following settings:
- `fsync_directories` - do the `fsync` for directories. Guarantees that the OS refreshed directory metadata after operations related to asynchronous inserts on Distributed table (after insert, after sending the data to shard, etc).
- `bytes_to_throw_insert` - if more than this number of compressed bytes will be pending for async INSERT, an exception will be thrown. 0 - do not throw. Default 0.
- `bytes_to_delay_insert` - if more than this number of compressed bytes will be pending for async INSERT, the query will be delayed. 0 - do not delay. Default 0.
- `max_delay_to_insert` - max delay of inserting data into Distributed table in seconds, if there are a lot of pending bytes for async send. Default 60.
!!! note "Note"
**Durability settings** (`fsync_...`):
@ -39,6 +45,12 @@ Also it accept the following settings:
- May significantly decrease the inserts' performance
- Affect writing the data stored inside Distributed table folder into the **node which accepted your insert**. If you need to have guarantees of writing data to underlying MergeTree tables - see durability settings (`...fsync...`) in `system.merge_tree_settings`
For **Insert limit settings** (`..._insert`) see also:
- [insert_distributed_sync](../../../operations/settings/settings.md#insert_distributed_sync) setting
- [prefer_localhost_replica](../../../operations/settings/settings.md#settings-prefer-localhost-replica) setting
- `bytes_to_throw_insert` handled before `bytes_to_delay_insert`, so you should not set it to the value less then `bytes_to_delay_insert`
Example:
``` sql

View File

@ -66,7 +66,8 @@ SELECT * FROM file_engine_table
## Usage in ClickHouse-local {#usage-in-clickhouse-local}
In [clickhouse-local](../../../operations/utilities/clickhouse-local.md) File engine accepts file path in addition to `Format`. Default input/output streams can be specified using numeric or human-readable names like `0` or `stdin`, `1` or `stdout`.
In [clickhouse-local](../../../operations/utilities/clickhouse-local.md) File engine accepts file path in addition to `Format`. Default input/output streams can be specified using numeric or human-readable names like `0` or `stdin`, `1` or `stdout`. It is possible to read and write compressed files based on an additional engine parameter or file extension (`gz`, `br` or `xz`).
**Example:**
``` bash

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@ -5,7 +5,7 @@ toc_title: Brown University Benchmark
# Brown University Benchmark
MgBench - A new analytical benchmark for machine-generated log data, [Andrew Crotty](http://cs.brown.edu/people/acrotty/).
`MgBench` is a new analytical benchmark for machine-generated log data, [Andrew Crotty](http://cs.brown.edu/people/acrotty/).
Download the data:
```
@ -153,7 +153,7 @@ ORDER BY dt,
hr;
-- Q1.4: Over a 1-month period, how often was each server blocked on disk I/O?
-- Q1.4: Over 1 month, how often was each server blocked on disk I/O?
SELECT machine_name,
COUNT(*) AS spikes
@ -301,7 +301,7 @@ WHERE event_type = 'temperature'
AND log_time >= '2019-11-29 17:00:00.000';
-- Q3.4: Over the past 6 months, how frequently was each door opened?
-- Q3.4: Over the past 6 months, how frequently were each door opened?
SELECT device_name,
device_floor,
@ -412,3 +412,5 @@ ORDER BY yr,
```
The data is also available for interactive queries in the [Playground](https://gh-api.clickhouse.tech/play?user=play), [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIG1hY2hpbmVfbmFtZSwKICAgICAgIE1JTihjcHUpIEFTIGNwdV9taW4sCiAgICAgICBNQVgoY3B1KSBBUyBjcHVfbWF4LAogICAgICAgQVZHKGNwdSkgQVMgY3B1X2F2ZywKICAgICAgIE1JTihuZXRfaW4pIEFTIG5ldF9pbl9taW4sCiAgICAgICBNQVgobmV0X2luKSBBUyBuZXRfaW5fbWF4LAogICAgICAgQVZHKG5ldF9pbikgQVMgbmV0X2luX2F2ZywKICAgICAgIE1JTihuZXRfb3V0KSBBUyBuZXRfb3V0X21pbiwKICAgICAgIE1BWChuZXRfb3V0KSBBUyBuZXRfb3V0X21heCwKICAgICAgIEFWRyhuZXRfb3V0KSBBUyBuZXRfb3V0X2F2ZwpGUk9NICgKICBTRUxFQ1QgbWFjaGluZV9uYW1lLAogICAgICAgICBDT0FMRVNDRShjcHVfdXNlciwgMC4wKSBBUyBjcHUsCiAgICAgICAgIENPQUxFU0NFKGJ5dGVzX2luLCAwLjApIEFTIG5ldF9pbiwKICAgICAgICAgQ09BTEVTQ0UoYnl0ZXNfb3V0LCAwLjApIEFTIG5ldF9vdXQKICBGUk9NIG1nYmVuY2gubG9nczEKICBXSEVSRSBtYWNoaW5lX25hbWUgSU4gKCdhbmFuc2knLCdhcmFnb2cnLCd1cmQnKQogICAgQU5EIGxvZ190aW1lID49IFRJTUVTVEFNUCAnMjAxNy0wMS0xMSAwMDowMDowMCcKKSBBUyByCkdST1VQIEJZIG1hY2hpbmVfbmFtZQ==).
[Original article](https://clickhouse.tech/docs/en/getting_started/example_datasets/brown-benchmark/) <!--hide-->

File diff suppressed because one or more lines are too long

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@ -20,5 +20,6 @@ The list of documented datasets:
- [Terabyte of Click Logs from Criteo](../../getting-started/example-datasets/criteo.md)
- [AMPLab Big Data Benchmark](../../getting-started/example-datasets/amplab-benchmark.md)
- [Brown University Benchmark](../../getting-started/example-datasets/brown-benchmark.md)
- [Cell Towers](../../getting-started/example-datasets/cell-towers.md)
[Original article](https://clickhouse.tech/docs/en/getting_started/example_datasets) <!--hide-->

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@ -15,17 +15,9 @@ This dataset can be obtained in two ways:
Downloading data:
``` bash
for s in `seq 1987 2018`
do
for m in `seq 1 12`
do
wget https://transtats.bts.gov/PREZIP/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_${s}_${m}.zip
done
done
echo https://transtats.bts.gov/PREZIP/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_{1987..2021}_{1..12}.zip | xargs -P10 wget --no-check-certificate --continue
```
(from https://github.com/Percona-Lab/ontime-airline-performance/blob/master/download.sh )
Creating a table:
``` sql
@ -145,12 +137,14 @@ ORDER BY (Carrier, FlightDate)
SETTINGS index_granularity = 8192;
```
Loading data:
Loading data with multiple threads:
``` bash
$ for i in *.zip; do echo $i; unzip -cq $i '*.csv' | sed 's/\.00//g' | clickhouse-client --input_format_with_names_use_header=0 --host=example-perftest01j --query="INSERT INTO ontime FORMAT CSVWithNames"; done
ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | sed 's/\.00//g' | clickhouse-client --input_format_with_names_use_header=0 --query='INSERT INTO ontime FORMAT CSVWithNames'"
```
(if you will have memory shortage or other issues on your server, remove the `-P $(nproc)` part)
## Download of Prepared Partitions {#download-of-prepared-partitions}
``` bash

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@ -644,7 +644,7 @@ If there are no replicas at the moment on replicated table creation, a new first
``` sql
CREATE TABLE tutorial.hits_replica (...)
ENGINE = ReplcatedMergeTree(
ENGINE = ReplicatedMergeTree(
'/clickhouse_perftest/tables/{shard}/hits',
'{replica}'
)

View File

@ -148,28 +148,48 @@ $ echo 'DROP TABLE t' | curl 'http://localhost:8123/' --data-binary @-
For successful requests that dont return a data table, an empty response body is returned.
You can use the internal ClickHouse compression format when transmitting data. The compressed data has a non-standard format, and you will need to use the special `clickhouse-compressor` program to work with it (it is installed with the `clickhouse-client` package). To increase the efficiency of data insertion, you can disable server-side checksum verification by using the [http_native_compression_disable_checksumming_on_decompress](../operations/settings/settings.md#settings-http_native_compression_disable_checksumming_on_decompress) setting.
If you specified `compress=1` in the URL, the server compresses the data it sends you.
If you specified `decompress=1` in the URL, the server decompresses the same data that you pass in the `POST` method.
## Compression {#compression}
You can also choose to use [HTTP compression](https://en.wikipedia.org/wiki/HTTP_compression). To send a compressed `POST` request, append the request header `Content-Encoding: compression_method`. In order for ClickHouse to compress the response, you must append `Accept-Encoding: compression_method`. ClickHouse supports `gzip`, `br`, and `deflate` [compression methods](https://en.wikipedia.org/wiki/HTTP_compression#Content-Encoding_tokens). To enable HTTP compression, you must use the ClickHouse [enable_http_compression](../operations/settings/settings.md#settings-enable_http_compression) setting. You can configure the data compression level in the [http_zlib_compression_level](#settings-http_zlib_compression_level) setting for all the compression methods.
You can use compression to reduce network traffic when transmitting a large amount of data or for creating dumps that are immediately compressed.
You can use this to reduce network traffic when transmitting a large amount of data, or for creating dumps that are immediately compressed.
You can use the internal ClickHouse compression format when transmitting data. The compressed data has a non-standard format, and you need `clickhouse-compressor` program to work with it. It is installed with the `clickhouse-client` package. To increase the efficiency of data insertion, you can disable server-side checksum verification by using the [http_native_compression_disable_checksumming_on_decompress](../operations/settings/settings.md#settings-http_native_compression_disable_checksumming_on_decompress) setting.
Examples of sending data with compression:
If you specify `compress=1` in the URL, the server will compress the data it sends to you. If you specify `decompress=1` in the URL, the server will decompress the data which you pass in the `POST` method.
``` bash
#Sending data to the server:
$ curl -vsS "http://localhost:8123/?enable_http_compression=1" -d 'SELECT number FROM system.numbers LIMIT 10' -H 'Accept-Encoding: gzip'
You can also choose to use [HTTP compression](https://en.wikipedia.org/wiki/HTTP_compression). ClickHouse supports the following [compression methods](https://en.wikipedia.org/wiki/HTTP_compression#Content-Encoding_tokens):
#Sending data to the client:
$ echo "SELECT 1" | gzip -c | curl -sS --data-binary @- -H 'Content-Encoding: gzip' 'http://localhost:8123/'
```
- `gzip`
- `br`
- `deflate`
- `xz`
To send a compressed `POST` request, append the request header `Content-Encoding: compression_method`.
In order for ClickHouse to compress the response, enable compression with [enable_http_compression](../operations/settings/settings.md#settings-enable_http_compression) setting and append `Accept-Encoding: compression_method` header to the request. You can configure the data compression level in the [http_zlib_compression_level](../operations/settings/settings.md#settings-http_zlib_compression_level) setting for all compression methods.
!!! note "Note"
Some HTTP clients might decompress data from the server by default (with `gzip` and `deflate`) and you might get decompressed data even if you use the compression settings correctly.
**Examples**
``` bash
# Sending compressed data to the server
$ echo "SELECT 1" | gzip -c | \
curl -sS --data-binary @- -H 'Content-Encoding: gzip' 'http://localhost:8123/'
```
``` bash
# Receiving compressed data from the server
$ curl -vsS "http://localhost:8123/?enable_http_compression=1" \
-H 'Accept-Encoding: gzip' --output result.gz -d 'SELECT number FROM system.numbers LIMIT 3'
$ zcat result.gz
0
1
2
```
## Default Database {#default-database}
You can use the database URL parameter or the X-ClickHouse-Database header to specify the default database.
``` bash

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@ -7,9 +7,9 @@ toc_title: Distinctive Features
## True Column-Oriented Database Management System {#true-column-oriented-dbms}
In a true column-oriented DBMS, no extra data is stored with the values. Among other things, this means that constant-length values must be supported, to avoid storing their length “number” next to the values. As an example, a billion UInt8-type values should consume around 1 GB uncompressed, or this strongly affects the CPU use. It is essential to store data compactly (without any “garbage”) even when uncompressed, since the speed of decompression (CPU usage) depends mainly on the volume of uncompressed data.
In a real column-oriented DBMS, no extra data is stored with the values. Among other things, this means that constant-length values must be supported, to avoid storing their length “number” next to the values. For example, a billion UInt8-type values should consume around 1 GB uncompressed, or this strongly affects the CPU use. It is essential to store data compactly (without any “garbage”) even when uncompressed since the speed of decompression (CPU usage) depends mainly on the volume of uncompressed data.
It is worth noting because there are systems that can store values of different columns separately, but that cant effectively process analytical queries due to their optimization for other scenarios. Examples are HBase, BigTable, Cassandra, and HyperTable. In these systems, you would get throughput around a hundred thousand rows per second, but not hundreds of millions of rows per second.
It is worth noting because there are systems that can store values of different columns separately, but that cant effectively process analytical queries due to their optimization for other scenarios. Examples are HBase, BigTable, Cassandra, and HyperTable. You would get throughput around a hundred thousand rows per second in these systems, but not hundreds of millions of rows per second.
Its also worth noting that ClickHouse is a database management system, not a single database. ClickHouse allows creating tables and databases in runtime, loading data, and running queries without reconfiguring and restarting the server.

View File

@ -8,18 +8,21 @@ toc_title: Caches
When performing queries, ClichHouse uses different caches.
Main cache types:
- `mark_cache` — Cache of marks used by table engines of the [MergeTree](../engines/table-engines/mergetree-family/mergetree.md) family.
- `uncompressed_cache` — Cache of uncompressed data used by table engines of the [MergeTree](../engines/table-engines/mergetree-family/mergetree.md) family.
Additional cache types:
- DNS cache
- [regexp](../interfaces/formats.md#data-format-regexp) cache
- compiled expressions cache
- [Avro format](../interfaces/formats.md#data-format-avro) schemas cache
- [dictionaries data cache](../sql-reference/dictionaries/index.md)
- DNS cache.
- [Regexp](../interfaces/formats.md#data-format-regexp) cache.
- Compiled expressions cache.
- [Avro format](../interfaces/formats.md#data-format-avro) schemas cache.
- [Dictionaries](../sql-reference/dictionaries/index.md) data cache.
Indirectly used:
- OS page cache
- OS page cache.
To drop cache, use [SYSTEM DROP ... CACHE](../sql-reference/statements/system.md) statements.

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@ -0,0 +1,13 @@
---
toc_folder_title: External User Authenticators and Directories
toc_priority: 48
toc_title: Introduction
---
# External User Authenticators and Directories {#external-authenticators}
ClickHouse supports authenticating and managing users using external services.
The following external authenticators and directories are supported:
- [LDAP](./ldap.md#external-authenticators-ldap) [Authenticator](./ldap.md#ldap-external-authenticator) and [Directory](./ldap.md#ldap-external-user-directory)

View File

@ -0,0 +1,156 @@
# LDAP {#external-authenticators-ldap}
LDAP server can be used to authenticate ClickHouse users. There are two different approaches for doing this:
- use LDAP as an external authenticator for existing users, which are defined in `users.xml` or in local access control paths
- use LDAP as an external user directory and allow locally undefined users to be authenticated if they exist on the LDAP server
For both of these approaches, an internally named LDAP server must be defined in the ClickHouse config so that other parts of config are able to refer to it.
## LDAP Server Definition {#ldap-server-definition}
To define LDAP server you must add `ldap_servers` section to the `config.xml`. For example,
```xml
<yandex>
<!- ... -->
<ldap_servers>
<my_ldap_server>
<host>localhost</host>
<port>636</port>
<bind_dn>uid={user_name},ou=users,dc=example,dc=com</bind_dn>
<verification_cooldown>300</verification_cooldown>
<enable_tls>yes</enable_tls>
<tls_minimum_protocol_version>tls1.2</tls_minimum_protocol_version>
<tls_require_cert>demand</tls_require_cert>
<tls_cert_file>/path/to/tls_cert_file</tls_cert_file>
<tls_key_file>/path/to/tls_key_file</tls_key_file>
<tls_ca_cert_file>/path/to/tls_ca_cert_file</tls_ca_cert_file>
<tls_ca_cert_dir>/path/to/tls_ca_cert_dir</tls_ca_cert_dir>
<tls_cipher_suite>ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:AES256-GCM-SHA384</tls_cipher_suite>
</my_ldap_server>
</ldap_servers>
</yandex>
```
Note, that you can define multiple LDAP servers inside the `ldap_servers` section using distinct names.
Parameters:
- `host` - LDAP server hostname or IP, this parameter is mandatory and cannot be empty.
- `port` - LDAP server port, default is `636` if `enable_tls` is set to `true`, `389` otherwise.
- `bind_dn` - template used to construct the DN to bind to.
- The resulting DN will be constructed by replacing all `{user_name}` substrings of the
template with the actual user name during each authentication attempt.
- `verification_cooldown` - a period of time, in seconds, after a successful bind attempt,
during which the user will be assumed to be successfully authenticated for all consecutive
requests without contacting the LDAP server.
- Specify `0` (the default) to disable caching and force contacting the LDAP server for each authentication request.
- `enable_tls` - flag to trigger use of secure connection to the LDAP server.
- Specify `no` for plain text `ldap://` protocol (not recommended).
- Specify `yes` for LDAP over SSL/TLS `ldaps://` protocol (recommended, the default).
- Specify `starttls` for legacy StartTLS protocol (plain text `ldap://` protocol, upgraded to TLS).
- `tls_minimum_protocol_version` - the minimum protocol version of SSL/TLS.
- Accepted values are: `ssl2`, `ssl3`, `tls1.0`, `tls1.1`, `tls1.2` (the default).
- `tls_require_cert` - SSL/TLS peer certificate verification behavior.
- Accepted values are: `never`, `allow`, `try`, `demand` (the default).
- `tls_cert_file` - path to certificate file.
- `tls_key_file` - path to certificate key file.
- `tls_ca_cert_file` - path to CA certificate file.
- `tls_ca_cert_dir` - path to the directory containing CA certificates.
- `tls_cipher_suite` - allowed cipher suite (in OpenSSL notation).
## LDAP External Authenticator {#ldap-external-authenticator}
A remote LDAP server can be used as a method for verifying passwords for locally defined users (users defined in `users.xml` or in local access control paths). In order to achieve this, specify previously defined LDAP server name instead of `password` or similar sections in the user definition.
At each login attempt, ClickHouse will try to "bind" to the specified DN defined by the `bind_dn` parameter in the [LDAP server definition](#ldap-server-definition) using the provided credentials, and if successful, the user will be considered authenticated. This is often called a "simple bind" method.
For example,
```xml
<yandex>
<!- ... -->
<users>
<!- ... -->
<my_user>
<!- ... -->
<ldap>
<server>my_ldap_server</server>
</ldap>
</my_user>
</users>
</yandex>
```
Note, that user `my_user` refers to `my_ldap_server`. This LDAP server must be configured in the main `config.xml` file as described previously.
When SQL-driven [Access Control and Account Management](../access-rights.md#access-control) is enabled in ClickHouse, users that are authenticated by LDAP servers can also be created using the [CRATE USER](../../sql-reference/statements/create/user.md#create-user-statement) statement.
```sql
CREATE USER my_user IDENTIFIED WITH ldap_server BY 'my_ldap_server'
```
## LDAP Exernal User Directory {#ldap-external-user-directory}
In addition to the locally defined users, a remote LDAP server can be used as a source of user definitions. In order to achieve this, specify previously defined LDAP server name (see [LDAP Server Definition](#ldap-server-definition)) in the `ldap` section inside the `users_directories` section of the `config.xml` file.
At each login attempt, ClickHouse will try to find the user definition locally and authenticate it as usual, but if the user is not defined, ClickHouse will assume it exists in the external LDAP directory, and will try to "bind" to the specified DN at the LDAP server using the provided credentials. If successful, the user will be considered existing and authenticated. The user will be assigned roles from the list specified in the `roles` section. Additionally, LDAP "search" can be performed and results can be transformed and treated as role names and then be assigned to the user if the `role_mapping` section is also configured. All this implies that the SQL-driven [Access Control and Account Management](../access-rights.md#access-control) is enabled and roles are created using the [CREATE ROLE](../../sql-reference/statements/create/role.md#create-role-statement) statement.
Example (goes into `config.xml`):
```xml
<yandex>
<!- ... -->
<user_directories>
<!- ... -->
<ldap>
<server>my_ldap_server</server>
<roles>
<my_local_role1 />
<my_local_role2 />
</roles>
<role_mapping>
<base_dn>ou=groups,dc=example,dc=com</base_dn>
<scope>subtree</scope>
<search_filter>(&amp;(objectClass=groupOfNames)(member={bind_dn}))</search_filter>
<attribute>cn</attribute>
<prefix>clickhouse_</prefix>
</role_mapping>
</ldap>
</user_directories>
</yandex>
```
Note that `my_ldap_server` referred in the `ldap` section inside the `user_directories` section must be a previously
defined LDAP server that is configured in the `config.xml` (see [LDAP Server Definition](#ldap-server-definition)).
Parameters:
- `server` - one of LDAP server names defined in the `ldap_servers` config section above.
This parameter is mandatory and cannot be empty.
- `roles` - section with a list of locally defined roles that will be assigned to each user retrieved from the LDAP server.
- If no roles are specified here or assigned during role mapping (below), user will not be able
to perform any actions after authentication.
- `role_mapping` - section with LDAP search parameters and mapping rules.
- When a user authenticates, while still bound to LDAP, an LDAP search is performed using `search_filter`
and the name of the logged in user. For each entry found during that search, the value of the specified
attribute is extracted. For each attribute value that has the specified prefix, the prefix is removed,
and the rest of the value becomes the name of a local role defined in ClickHouse,
which is expected to be created beforehand by the [CREATE ROLE](../../sql-reference/statements/create/role.md#create-role-statement) statement.
- There can be multiple `role_mapping` sections defined inside the same `ldap` section. All of them will be applied.
- `base_dn` - template used to construct the base DN for the LDAP search.
- The resulting DN will be constructed by replacing all `{user_name}` and `{bind_dn}`
substrings of the template with the actual user name and bind DN during each LDAP search.
- `scope` - scope of the LDAP search.
- Accepted values are: `base`, `one_level`, `children`, `subtree` (the default).
- `search_filter` - template used to construct the search filter for the LDAP search.
- The resulting filter will be constructed by replacing all `{user_name}`, `{bind_dn}`, and `{base_dn}`
substrings of the template with the actual user name, bind DN, and base DN during each LDAP search.
- Note, that the special characters must be escaped properly in XML.
- `attribute` - attribute name whose values will be returned by the LDAP search.
- `prefix` - prefix, that will be expected to be in front of each string in the original
list of strings returned by the LDAP search. Prefix will be removed from the original
strings and resulting strings will be treated as local role names. Empty, by default.

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@ -5,74 +5,40 @@ toc_title: OpenTelemetry Support
# [experimental] OpenTelemetry Support
[OpenTelemetry](https://opentelemetry.io/) is an open standard for collecting
traces and metrics from distributed application. ClickHouse has some support
for OpenTelemetry.
[OpenTelemetry](https://opentelemetry.io/) is an open standard for collecting traces and metrics from the distributed application. ClickHouse has some support for OpenTelemetry.
!!! warning "Warning"
This is an experimental feature that will change in backwards-incompatible ways in the future releases.
This is an experimental feature that will change in backwards-incompatible ways in future releases.
## Supplying Trace Context to ClickHouse
ClickHouse accepts trace context HTTP headers, as described by
the [W3C recommendation](https://www.w3.org/TR/trace-context/).
It also accepts trace context over native protocol that is used for
communication between ClickHouse servers or between the client and server.
For manual testing, trace context headers conforming to the Trace Context
recommendation can be supplied to `clickhouse-client` using
`--opentelemetry-traceparent` and `--opentelemetry-tracestate` flags.
If no parent trace context is supplied, ClickHouse can start a new trace, with
probability controlled by the `opentelemetry_start_trace_probability` setting.
ClickHouse accepts trace context HTTP headers, as described by the [W3C recommendation](https://www.w3.org/TR/trace-context/). It also accepts trace context over a native protocol that is used for communication between ClickHouse servers or between the client and server. For manual testing, trace context headers conforming to the Trace Context recommendation can be supplied to `clickhouse-client` using `--opentelemetry-traceparent` and `--opentelemetry-tracestate` flags.
If no parent trace context is supplied, ClickHouse can start a new trace, with probability controlled by the [opentelemetry_start_trace_probability](../operations/settings/settings.md#opentelemetry-start-trace-probability) setting.
## Propagating the Trace Context
The trace context is propagated to downstream services in the following cases:
* Queries to remote ClickHouse servers, such as when using `Distributed` table
engine.
* `URL` table function. Trace context information is sent in HTTP headers.
* Queries to remote ClickHouse servers, such as when using [Distributed](../engines/table-engines/special/distributed.md) table engine.
* [url](../sql-reference/table-functions/url.md) table function. Trace context information is sent in HTTP headers.
## Tracing the ClickHouse Itself
ClickHouse creates _trace spans_ for each query and some of the query execution
stages, such as query planning or distributed queries.
ClickHouse creates `trace spans` for each query and some of the query execution stages, such as query planning or distributed queries.
To be useful, the tracing information has to be exported to a monitoring system
that supports OpenTelemetry, such as Jaeger or Prometheus. ClickHouse avoids
a dependency on a particular monitoring system, instead only providing the
tracing data through a system table. OpenTelemetry trace span information
[required by the standard](https://github.com/open-telemetry/opentelemetry-specification/blob/master/specification/overview.md#span)
is stored in the `system.opentelemetry_span_log` table.
To be useful, the tracing information has to be exported to a monitoring system that supports OpenTelemetry, such as [Jaeger](https://jaegertracing.io/) or [Prometheus](https://prometheus.io/). ClickHouse avoids a dependency on a particular monitoring system, instead only providing the tracing data through a system table. OpenTelemetry trace span information [required by the standard](https://github.com/open-telemetry/opentelemetry-specification/blob/master/specification/overview.md#span) is stored in the [system.opentelemetry_span_log](../operations/system-tables/opentelemetry_span_log.md) table.
The table must be enabled in the server configuration, see the `opentelemetry_span_log`
element in the default config file `config.xml`. It is enabled by default.
The table must be enabled in the server configuration, see the `opentelemetry_span_log` element in the default config file `config.xml`. It is enabled by default.
The table has the following columns:
- `trace_id`
- `span_id`
- `parent_span_id`
- `operation_name`
- `start_time`
- `finish_time`
- `finish_date`
- `attribute.name`
- `attribute.values`
The tags or attributes are saved as two parallel arrays, containing the keys
and values. Use `ARRAY JOIN` to work with them.
The tags or attributes are saved as two parallel arrays, containing the keys and values. Use [ARRAY JOIN](../sql-reference/statements/select/array-join.md) to work with them.
## Integration with monitoring systems
At the moment, there is no ready tool that can export the tracing data from
ClickHouse to a monitoring system.
At the moment, there is no ready tool that can export the tracing data from ClickHouse to a monitoring system.
For testing, it is possible to setup the export using a materialized view with the URL engine over the `system.opentelemetry_span_log` table, which would push the arriving log data to an HTTP endpoint of a trace collector. For example, to push the minimal span data to a Zipkin instance running at `http://localhost:9411`, in Zipkin v2 JSON format:
For testing, it is possible to setup the export using a materialized view with the [URL](../engines/table-engines/special/url.md) engine over the [system.opentelemetry_span_log](../operations/system-tables/opentelemetry_span_log.md) table, which would push the arriving log data to an HTTP endpoint of a trace collector. For example, to push the minimal span data to a Zipkin instance running at `http://localhost:9411`, in Zipkin v2 JSON format:
```sql
CREATE MATERIALIZED VIEW default.zipkin_spans
@ -94,3 +60,5 @@ FROM system.opentelemetry_span_log
```
In case of any errors, the part of the log data for which the error has occurred will be silently lost. Check the server log for error messages if the data does not arrive.
[Original article](https://clickhouse.tech/docs/en/operations/opentelemetry/) <!--hide-->

View File

@ -139,7 +139,7 @@ You can assign a quotas set for the user. For a detailed description of quotas c
### user_name/databases {#user-namedatabases}
In this section, you can you can limit rows that are returned by ClickHouse for `SELECT` queries made by the current user, thus implementing basic row-level security.
In this section, you can limit rows that are returned by ClickHouse for `SELECT` queries made by the current user, thus implementing basic row-level security.
**Example**

View File

@ -1104,7 +1104,7 @@ The maximum number of replicas for each shard when executing a query. In limited
- the sampling key is an expression that is expensive to calculate
- the cluster's latency distribution has a long tail, so that querying more servers increases the query's overall latency
In addition, this setting will produce incorrect results when joins or subqueries are involved, and all tables don't meet certain conditions. See [Distributed Subqueries and max_parallel_replicas](../../sql-reference/operators/in.md/#max_parallel_replica-subqueries) for more details.
In addition, this setting will produce incorrect results when joins or subqueries are involved, and all tables don't meet certain conditions. See [Distributed Subqueries and max_parallel_replicas](../../sql-reference/operators/in.md#max_parallel_replica-subqueries) for more details.
## compile {#compile}
@ -1956,8 +1956,8 @@ Default value: 16.
**See Also**
- [Kafka](../../engines/table-engines/integrations/kafka.md#kafka) engine
- [RabbitMQ](../../engines/table-engines/integrations/rabbitmq.md#rabbitmq-engine) engine
- [Kafka](../../engines/table-engines/integrations/kafka.md#kafka) engine.
- [RabbitMQ](../../engines/table-engines/integrations/rabbitmq.md#rabbitmq-engine) engine.
## validate_polygons {#validate_polygons}
@ -2658,4 +2658,35 @@ Result:
Note that this setting influences [Materialized view](../../sql-reference/statements/create/view.md#materialized) and [MaterializeMySQL](../../engines/database-engines/materialize-mysql.md) behaviour.
## engine_file_empty_if_not_exists {#engine-file-empty_if-not-exists}
Allows to select data from a file engine table without file.
Possible values:
- 0 — `SELECT` throws exception.
- 1 — `SELECT` returns empty result.
Default value: `0`.
## engine_file_truncate_on_insert {#engine-file-truncate-on-insert}
Enables or disables truncate before insert in file engine tables.
Possible values:
- 0 — Disabled.
- 1 — Enabled.
Default value: `0`.
## allow_experimental_geo_types {#allow-experimental-geo-types}
Allows working with experimental [geo data types](../../sql-reference/data-types/geo.md).
Possible values:
- 0 — Working with geo data types is disabled.
- 1 — Working with geo data types is enabled.
Default value: `0`.
[Original article](https://clickhouse.tech/docs/en/operations/settings/settings/) <!-- hide -->

View File

@ -14,7 +14,7 @@ Columns:
- `initiator` ([String](../../sql-reference/data-types/string.md)) — Node that executed the query.
- `query_start_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Query start time.
- `query_finish_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Query finish time.
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/datetime64.md)) — Duration of query execution (in milliseconds).
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/int-uint.md)) — Duration of query execution (in milliseconds).
- `exception_code` ([Enum8](../../sql-reference/data-types/enum.md)) — Exception code from [ZooKeeper](../../operations/tips.md#zookeeper).
**Example**

View File

@ -20,7 +20,7 @@ System tables:
Most of system tables store their data in RAM. A ClickHouse server creates such system tables at the start.
Unlike other system tables, the system log tables [metric_log](../../operations/system-tables/metric_log.md), [query_log](../../operations/system-tables/query_log.md), [query_thread_log](../../operations/system-tables/query_thread_log.md), [trace_log](../../operations/system-tables/trace_log.md), [part_log](../../operations/system-tables/part_log.md), crash_log and [text_log](../../operations/system-tables/text_log.md) are served by [MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) table engine and store their data in a storage filesystem by default. If you remove a table from a filesystem, the ClickHouse server creates the empty one again at the time of the next data writing. If system table schema changed in a new release, then ClickHouse renames the current table and creates a new one.
Unlike other system tables, the system log tables [metric_log](../../operations/system-tables/metric_log.md), [query_log](../../operations/system-tables/query_log.md), [query_thread_log](../../operations/system-tables/query_thread_log.md), [trace_log](../../operations/system-tables/trace_log.md), [part_log](../../operations/system-tables/part_log.md), [crash_log](../../operations/system-tables/crash-log.md) and [text_log](../../operations/system-tables/text_log.md) are served by [MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) table engine and store their data in a filesystem by default. If you remove a table from a filesystem, the ClickHouse server creates the empty one again at the time of the next data writing. If system table schema changed in a new release, then ClickHouse renames the current table and creates a new one.
System log tables can be customized by creating a config file with the same name as the table under `/etc/clickhouse-server/config.d/`, or setting corresponding elements in `/etc/clickhouse-server/config.xml`. Elements can be customized are:
@ -33,7 +33,7 @@ System log tables can be customized by creating a config file with the same name
An example:
```
```xml
<yandex>
<query_log>
<database>system</database>

View File

@ -17,7 +17,6 @@ The `system.part_log` table contains the following columns:
- `event_date` ([Date](../../sql-reference/data-types/date.md)) — Event date.
- `event_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Event time.
- `event_time_microseconds` ([DateTime64](../../sql-reference/data-types/datetime64.md)) — Event time with microseconds precision.
- `duration_ms` ([UInt64](../../sql-reference/data-types/int-uint.md)) — Duration.
- `database` ([String](../../sql-reference/data-types/string.md)) — Name of the database the data part is in.
- `table` ([String](../../sql-reference/data-types/string.md)) — Name of the table the data part is in.

View File

@ -91,6 +91,8 @@ $ clickhouse-local --query "
Now lets output memory user for each Unix user:
Query:
``` bash
$ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
| clickhouse-local --structure "user String, mem Float64" \
@ -98,6 +100,8 @@ $ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
FROM table GROUP BY user ORDER BY memTotal DESC FORMAT Pretty"
```
Result:
``` text
Read 186 rows, 4.15 KiB in 0.035 sec., 5302 rows/sec., 118.34 KiB/sec.
┏━━━━━━━━━━┳━━━━━━━━━━┓

View File

@ -72,7 +72,7 @@ If an aggregate function doesnt have input values, with this combinator it re
<aggFunction>OrDefault(x)
```
**Parameters**
**Arguments**
- `x` — Aggregate function parameters.
@ -132,7 +132,7 @@ This combinator converts a result of an aggregate function to the [Nullable](../
<aggFunction>OrNull(x)
```
**Parameters**
**Arguments**
- `x` — Aggregate function parameters.
@ -189,7 +189,7 @@ Lets you divide data into groups, and then separately aggregates the data in tho
<aggFunction>Resample(start, end, step)(<aggFunction_params>, resampling_key)
```
**Parameters**
**Arguments**
- `start` — Starting value of the whole required interval for `resampling_key` values.
- `stop` — Ending value of the whole required interval for `resampling_key` values. The whole interval doesnt include the `stop` value `[start, stop)`.

View File

@ -17,10 +17,13 @@ histogram(number_of_bins)(values)
The functions uses [A Streaming Parallel Decision Tree Algorithm](http://jmlr.org/papers/volume11/ben-haim10a/ben-haim10a.pdf). The borders of histogram bins are adjusted as new data enters a function. In common case, the widths of bins are not equal.
**Arguments**
`values` — [Expression](../../sql-reference/syntax.md#syntax-expressions) resulting in input values.
**Parameters**
`number_of_bins` — Upper limit for the number of bins in the histogram. The function automatically calculates the number of bins. It tries to reach the specified number of bins, but if it fails, it uses fewer bins.
`values` — [Expression](../../sql-reference/syntax.md#syntax-expressions) resulting in input values.
**Returned values**
@ -89,14 +92,16 @@ sequenceMatch(pattern)(timestamp, cond1, cond2, ...)
!!! warning "Warning"
Events that occur at the same second may lay in the sequence in an undefined order affecting the result.
**Parameters**
- `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
**Arguments**
- `timestamp` — Column considered to contain time data. Typical data types are `Date` and `DateTime`. You can also use any of the supported [UInt](../../sql-reference/data-types/int-uint.md) data types.
- `cond1`, `cond2` — Conditions that describe the chain of events. Data type: `UInt8`. You can pass up to 32 condition arguments. The function takes only the events described in these conditions into account. If the sequence contains data that isnt described in a condition, the function skips them.
**Parameters**
- `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
**Returned values**
- 1, if the pattern is matched.
@ -176,14 +181,16 @@ Counts the number of event chains that matched the pattern. The function searche
sequenceCount(pattern)(timestamp, cond1, cond2, ...)
```
**Parameters**
- `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
**Arguments**
- `timestamp` — Column considered to contain time data. Typical data types are `Date` and `DateTime`. You can also use any of the supported [UInt](../../sql-reference/data-types/int-uint.md) data types.
- `cond1`, `cond2` — Conditions that describe the chain of events. Data type: `UInt8`. You can pass up to 32 condition arguments. The function takes only the events described in these conditions into account. If the sequence contains data that isnt described in a condition, the function skips them.
**Parameters**
- `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
**Returned values**
- Number of non-overlapping event chains that are matched.
@ -239,14 +246,17 @@ The function works according to the algorithm:
windowFunnel(window, [mode])(timestamp, cond1, cond2, ..., condN)
```
**Parameters**
**Arguments**
- `window` — Length of the sliding window. The unit of `window` depends on the timestamp itself and varies. Determined using the expression `timestamp of cond2 <= timestamp of cond1 + window`.
- `mode` - It is an optional argument.
- `'strict'` - When the `'strict'` is set, the windowFunnel() applies conditions only for the unique values.
- `timestamp` — Name of the column containing the timestamp. Data types supported: [Date](../../sql-reference/data-types/date.md), [DateTime](../../sql-reference/data-types/datetime.md#data_type-datetime) and other unsigned integer types (note that even though timestamp supports the `UInt64` type, its value cant exceed the Int64 maximum, which is 2^63 - 1).
- `cond` — Conditions or data describing the chain of events. [UInt8](../../sql-reference/data-types/int-uint.md).
**Parameters**
- `window` — Length of the sliding window. The unit of `window` depends on the `timestamp` itself and varies. Determined using the expression `timestamp of cond2 <= timestamp of cond1 + window`.
- `mode` - It is an optional argument.
- `'strict'` - When the `'strict'` is set, the windowFunnel() applies conditions only for the unique values.
**Returned value**
The maximum number of consecutive triggered conditions from the chain within the sliding time window.
@ -324,7 +334,7 @@ The conditions, except the first, apply in pairs: the result of the second will
retention(cond1, cond2, ..., cond32);
```
**Parameters**
**Arguments**
- `cond` — an expression that returns a `UInt8` result (1 or 0).

View File

@ -20,7 +20,7 @@ or
argMax(tuple(arg, val))
```
**Parameters**
**Arguments**
- `arg` — Argument.
- `val` — Value.
@ -52,15 +52,15 @@ Input table:
Query:
``` sql
SELECT argMax(user, salary), argMax(tuple(user, salary)) FROM salary;
SELECT argMax(user, salary), argMax(tuple(user, salary), salary), argMax(tuple(user, salary)) FROM salary;
```
Result:
``` text
┌─argMax(user, salary)─┬─argMax(tuple(user, salary))─┐
│ director │ ('director',5000) │
└──────────────────────┴─────────────────────────────┘
┌─argMax(user, salary)─┬─argMax(tuple(user, salary), salary)─┬─argMax(tuple(user, salary))─┐
│ director │ ('director',5000) │ ('director',5000)
└──────────────────────┴─────────────────────────────────────┴─────────────────────────────
```
[Original article](https://clickhouse.tech/docs/en/sql-reference/aggregate-functions/reference/argmax/) <!--hide-->

View File

@ -20,7 +20,7 @@ or
argMin(tuple(arg, val))
```
**Parameters**
**Arguments**
- `arg` — Argument.
- `val` — Value.

View File

@ -9,10 +9,10 @@ Calculates the arithmetic mean.
**Syntax**
``` sql
avgWeighted(x)
avg(x)
```
**Parameter**
**Arguments**
- `x` — Values.

View File

@ -12,7 +12,7 @@ Calculates the [weighted arithmetic mean](https://en.wikipedia.org/wiki/Weighted
avgWeighted(x, weight)
```
**Parameters**
**Arguments**
- `x` — Values.
- `weight` — Weights of the values.

View File

@ -10,7 +10,7 @@ ClickHouse supports the following syntaxes for `count`:
- `count(expr)` or `COUNT(DISTINCT expr)`.
- `count()` or `COUNT(*)`. The `count()` syntax is ClickHouse-specific.
**Parameters**
**Arguments**
The function can take:

View File

@ -17,7 +17,7 @@ If in one query several values are inserted into the same position, the function
- If a query is executed in a single thread, the first one of the inserted values is used.
- If a query is executed in multiple threads, the resulting value is an undetermined one of the inserted values.
**Parameters**
**Arguments**
- `x` — Value to be inserted. [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in one of the [supported data types](../../../sql-reference/data-types/index.md).
- `pos` — Position at which the specified element `x` is to be inserted. Index numbering in the array starts from zero. [UInt32](../../../sql-reference/data-types/int-uint.md#uint-ranges).

View File

@ -13,7 +13,7 @@ groupArrayMovingAvg(window_size)(numbers_for_summing)
The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
**Parameters**
**Arguments**
- `numbers_for_summing` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in a numeric data type value.
- `window_size` — Size of the calculation window.

View File

@ -13,7 +13,7 @@ groupArrayMovingSum(window_size)(numbers_for_summing)
The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
**Parameters**
**Arguments**
- `numbers_for_summing` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in a numeric data type value.
- `window_size` — Size of the calculation window.

View File

@ -12,7 +12,7 @@ Creates an array of sample argument values. The size of the resulting array is l
groupArraySample(max_size[, seed])(x)
```
**Parameters**
**Arguments**
- `max_size` — Maximum size of the resulting array. [UInt64](../../data-types/int-uint.md).
- `seed` — Seed for the random number generator. Optional. [UInt64](../../data-types/int-uint.md). Default value: `123456`.

View File

@ -10,7 +10,7 @@ Applies bitwise `AND` for series of numbers.
groupBitAnd(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `UInt*` type.

View File

@ -10,7 +10,7 @@ Bitmap or Aggregate calculations from a unsigned integer column, return cardinal
groupBitmap(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `UInt*` type.

View File

@ -10,7 +10,7 @@ Calculations the AND of a bitmap column, return cardinality of type UInt64, if a
groupBitmapAnd(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.

View File

@ -10,7 +10,7 @@ Calculations the OR of a bitmap column, return cardinality of type UInt64, if ad
groupBitmapOr(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.

View File

@ -10,7 +10,7 @@ Calculations the XOR of a bitmap column, return cardinality of type UInt64, if a
groupBitmapOr(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.

View File

@ -10,7 +10,7 @@ Applies bitwise `OR` for series of numbers.
groupBitOr(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `UInt*` type.

View File

@ -10,7 +10,7 @@ Applies bitwise `XOR` for series of numbers.
groupBitXor(expr)
```
**Parameters**
**Arguments**
`expr` An expression that results in `UInt*` type.

View File

@ -13,7 +13,7 @@ Use it for tests or to process columns of types `AggregateFunction` and `Aggrega
initializeAggregation (aggregate_function, column_1, column_2);
```
**Parameters**
**Arguments**
- `aggregate_function` — Name of the aggregation function. The state of this function — the creating one. [String](../../../sql-reference/data-types/string.md#string).
- `column_n` — The column to translate it into the function as it's argument. [String](../../../sql-reference/data-types/string.md#string).

View File

@ -10,7 +10,7 @@ Computes the [kurtosis](https://en.wikipedia.org/wiki/Kurtosis) of a sequence.
kurtPop(expr)
```
**Parameters**
**Arguments**
`expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) returning a number.

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