Merge remote-tracking branch 'upstream/master' into improvement/diff-types-in-avg-weighted

This commit is contained in:
myrrc 2020-10-26 17:42:47 +03:00
commit 4d11bd036b
1077 changed files with 39026 additions and 26399 deletions

4
.gitmodules vendored
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@ -186,3 +186,7 @@
path = contrib/cyrus-sasl
url = https://github.com/cyrusimap/cyrus-sasl
branch = cyrus-sasl-2.1
[submodule "contrib/croaring"]
path = contrib/croaring
url = https://github.com/RoaringBitmap/CRoaring
branch = v0.2.66

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@ -0,0 +1,339 @@
/* origin: OpenBSD /usr/src/lib/libm/src/ld80/e_lgammal.c */
/*
* ====================================================
* Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
*
* Developed at SunPro, a Sun Microsystems, Inc. business.
* Permission to use, copy, modify, and distribute this
* software is freely granted, provided that this notice
* is preserved.
* ====================================================
*/
/*
* Copyright (c) 2008 Stephen L. Moshier <steve@moshier.net>
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
/* lgammal(x)
* Reentrant version of the logarithm of the Gamma function
* with user provide pointer for the sign of Gamma(x).
*
* Method:
* 1. Argument Reduction for 0 < x <= 8
* Since gamma(1+s)=s*gamma(s), for x in [0,8], we may
* reduce x to a number in [1.5,2.5] by
* lgamma(1+s) = log(s) + lgamma(s)
* for example,
* lgamma(7.3) = log(6.3) + lgamma(6.3)
* = log(6.3*5.3) + lgamma(5.3)
* = log(6.3*5.3*4.3*3.3*2.3) + lgamma(2.3)
* 2. Polynomial approximation of lgamma around its
* minimun ymin=1.461632144968362245 to maintain monotonicity.
* On [ymin-0.23, ymin+0.27] (i.e., [1.23164,1.73163]), use
* Let z = x-ymin;
* lgamma(x) = -1.214862905358496078218 + z^2*poly(z)
* 2. Rational approximation in the primary interval [2,3]
* We use the following approximation:
* s = x-2.0;
* lgamma(x) = 0.5*s + s*P(s)/Q(s)
* Our algorithms are based on the following observation
*
* zeta(2)-1 2 zeta(3)-1 3
* lgamma(2+s) = s*(1-Euler) + --------- * s - --------- * s + ...
* 2 3
*
* where Euler = 0.5771... is the Euler constant, which is very
* close to 0.5.
*
* 3. For x>=8, we have
* lgamma(x)~(x-0.5)log(x)-x+0.5*log(2pi)+1/(12x)-1/(360x**3)+....
* (better formula:
* lgamma(x)~(x-0.5)*(log(x)-1)-.5*(log(2pi)-1) + ...)
* Let z = 1/x, then we approximation
* f(z) = lgamma(x) - (x-0.5)(log(x)-1)
* by
* 3 5 11
* w = w0 + w1*z + w2*z + w3*z + ... + w6*z
*
* 4. For negative x, since (G is gamma function)
* -x*G(-x)*G(x) = pi/sin(pi*x),
* we have
* G(x) = pi/(sin(pi*x)*(-x)*G(-x))
* since G(-x) is positive, sign(G(x)) = sign(sin(pi*x)) for x<0
* Hence, for x<0, signgam = sign(sin(pi*x)) and
* lgamma(x) = log(|Gamma(x)|)
* = log(pi/(|x*sin(pi*x)|)) - lgamma(-x);
* Note: one should avoid compute pi*(-x) directly in the
* computation of sin(pi*(-x)).
*
* 5. Special Cases
* lgamma(2+s) ~ s*(1-Euler) for tiny s
* lgamma(1)=lgamma(2)=0
* lgamma(x) ~ -log(x) for tiny x
* lgamma(0) = lgamma(inf) = inf
* lgamma(-integer) = +-inf
*
*/
#include <stdint.h>
#include <math.h>
#include "libm.h"
#if LDBL_MANT_DIG == 53 && LDBL_MAX_EXP == 1024
double lgamma_r(double x, int *sg);
long double lgammal_r(long double x, int *sg)
{
return lgamma_r(x, sg);
}
#elif LDBL_MANT_DIG == 64 && LDBL_MAX_EXP == 16384
static const long double pi = 3.14159265358979323846264L,
/* lgam(1+x) = 0.5 x + x a(x)/b(x)
-0.268402099609375 <= x <= 0
peak relative error 6.6e-22 */
a0 = -6.343246574721079391729402781192128239938E2L,
a1 = 1.856560238672465796768677717168371401378E3L,
a2 = 2.404733102163746263689288466865843408429E3L,
a3 = 8.804188795790383497379532868917517596322E2L,
a4 = 1.135361354097447729740103745999661157426E2L,
a5 = 3.766956539107615557608581581190400021285E0L,
b0 = 8.214973713960928795704317259806842490498E3L,
b1 = 1.026343508841367384879065363925870888012E4L,
b2 = 4.553337477045763320522762343132210919277E3L,
b3 = 8.506975785032585797446253359230031874803E2L,
b4 = 6.042447899703295436820744186992189445813E1L,
/* b5 = 1.000000000000000000000000000000000000000E0 */
tc = 1.4616321449683623412626595423257213284682E0L,
tf = -1.2148629053584961146050602565082954242826E-1, /* double precision */
/* tt = (tail of tf), i.e. tf + tt has extended precision. */
tt = 3.3649914684731379602768989080467587736363E-18L,
/* lgam ( 1.4616321449683623412626595423257213284682E0 ) =
-1.2148629053584960809551455717769158215135617312999903886372437313313530E-1 */
/* lgam (x + tc) = tf + tt + x g(x)/h(x)
-0.230003726999612341262659542325721328468 <= x
<= 0.2699962730003876587373404576742786715318
peak relative error 2.1e-21 */
g0 = 3.645529916721223331888305293534095553827E-18L,
g1 = 5.126654642791082497002594216163574795690E3L,
g2 = 8.828603575854624811911631336122070070327E3L,
g3 = 5.464186426932117031234820886525701595203E3L,
g4 = 1.455427403530884193180776558102868592293E3L,
g5 = 1.541735456969245924860307497029155838446E2L,
g6 = 4.335498275274822298341872707453445815118E0L,
h0 = 1.059584930106085509696730443974495979641E4L,
h1 = 2.147921653490043010629481226937850618860E4L,
h2 = 1.643014770044524804175197151958100656728E4L,
h3 = 5.869021995186925517228323497501767586078E3L,
h4 = 9.764244777714344488787381271643502742293E2L,
h5 = 6.442485441570592541741092969581997002349E1L,
/* h6 = 1.000000000000000000000000000000000000000E0 */
/* lgam (x+1) = -0.5 x + x u(x)/v(x)
-0.100006103515625 <= x <= 0.231639862060546875
peak relative error 1.3e-21 */
u0 = -8.886217500092090678492242071879342025627E1L,
u1 = 6.840109978129177639438792958320783599310E2L,
u2 = 2.042626104514127267855588786511809932433E3L,
u3 = 1.911723903442667422201651063009856064275E3L,
u4 = 7.447065275665887457628865263491667767695E2L,
u5 = 1.132256494121790736268471016493103952637E2L,
u6 = 4.484398885516614191003094714505960972894E0L,
v0 = 1.150830924194461522996462401210374632929E3L,
v1 = 3.399692260848747447377972081399737098610E3L,
v2 = 3.786631705644460255229513563657226008015E3L,
v3 = 1.966450123004478374557778781564114347876E3L,
v4 = 4.741359068914069299837355438370682773122E2L,
v5 = 4.508989649747184050907206782117647852364E1L,
/* v6 = 1.000000000000000000000000000000000000000E0 */
/* lgam (x+2) = .5 x + x s(x)/r(x)
0 <= x <= 1
peak relative error 7.2e-22 */
s0 = 1.454726263410661942989109455292824853344E6L,
s1 = -3.901428390086348447890408306153378922752E6L,
s2 = -6.573568698209374121847873064292963089438E6L,
s3 = -3.319055881485044417245964508099095984643E6L,
s4 = -7.094891568758439227560184618114707107977E5L,
s5 = -6.263426646464505837422314539808112478303E4L,
s6 = -1.684926520999477529949915657519454051529E3L,
r0 = -1.883978160734303518163008696712983134698E7L,
r1 = -2.815206082812062064902202753264922306830E7L,
r2 = -1.600245495251915899081846093343626358398E7L,
r3 = -4.310526301881305003489257052083370058799E6L,
r4 = -5.563807682263923279438235987186184968542E5L,
r5 = -3.027734654434169996032905158145259713083E4L,
r6 = -4.501995652861105629217250715790764371267E2L,
/* r6 = 1.000000000000000000000000000000000000000E0 */
/* lgam(x) = ( x - 0.5 ) * log(x) - x + LS2PI + 1/x w(1/x^2)
x >= 8
Peak relative error 1.51e-21
w0 = LS2PI - 0.5 */
w0 = 4.189385332046727417803e-1L,
w1 = 8.333333333333331447505E-2L,
w2 = -2.777777777750349603440E-3L,
w3 = 7.936507795855070755671E-4L,
w4 = -5.952345851765688514613E-4L,
w5 = 8.412723297322498080632E-4L,
w6 = -1.880801938119376907179E-3L,
w7 = 4.885026142432270781165E-3L;
long double lgammal_r(long double x, int *sg) {
long double t, y, z, nadj, p, p1, p2, q, r, w;
union ldshape u = {x};
uint32_t ix = (u.i.se & 0x7fffU)<<16 | u.i.m>>48;
int sign = u.i.se >> 15;
int i;
*sg = 1;
/* purge off +-inf, NaN, +-0, tiny and negative arguments */
if (ix >= 0x7fff0000)
return x * x;
if (ix < 0x3fc08000) { /* |x|<2**-63, return -log(|x|) */
if (sign) {
*sg = -1;
x = -x;
}
return -logl(x);
}
if (sign) {
x = -x;
t = sin(pi * x);
if (t == 0.0)
return 1.0 / (x-x); /* -integer */
if (t > 0.0)
*sg = -1;
else
t = -t;
nadj = logl(pi / (t * x));
}
/* purge off 1 and 2 (so the sign is ok with downward rounding) */
if ((ix == 0x3fff8000 || ix == 0x40008000) && u.i.m == 0) {
r = 0;
} else if (ix < 0x40008000) { /* x < 2.0 */
if (ix <= 0x3ffee666) { /* 8.99993896484375e-1 */
/* lgamma(x) = lgamma(x+1) - log(x) */
r = -logl(x);
if (ix >= 0x3ffebb4a) { /* 7.31597900390625e-1 */
y = x - 1.0;
i = 0;
} else if (ix >= 0x3ffced33) { /* 2.31639862060546875e-1 */
y = x - (tc - 1.0);
i = 1;
} else { /* x < 0.23 */
y = x;
i = 2;
}
} else {
r = 0.0;
if (ix >= 0x3fffdda6) { /* 1.73162841796875 */
/* [1.7316,2] */
y = x - 2.0;
i = 0;
} else if (ix >= 0x3fff9da6) { /* 1.23162841796875 */
/* [1.23,1.73] */
y = x - tc;
i = 1;
} else {
/* [0.9, 1.23] */
y = x - 1.0;
i = 2;
}
}
switch (i) {
case 0:
p1 = a0 + y * (a1 + y * (a2 + y * (a3 + y * (a4 + y * a5))));
p2 = b0 + y * (b1 + y * (b2 + y * (b3 + y * (b4 + y))));
r += 0.5 * y + y * p1/p2;
break;
case 1:
p1 = g0 + y * (g1 + y * (g2 + y * (g3 + y * (g4 + y * (g5 + y * g6)))));
p2 = h0 + y * (h1 + y * (h2 + y * (h3 + y * (h4 + y * (h5 + y)))));
p = tt + y * p1/p2;
r += (tf + p);
break;
case 2:
p1 = y * (u0 + y * (u1 + y * (u2 + y * (u3 + y * (u4 + y * (u5 + y * u6))))));
p2 = v0 + y * (v1 + y * (v2 + y * (v3 + y * (v4 + y * (v5 + y)))));
r += (-0.5 * y + p1 / p2);
}
} else if (ix < 0x40028000) { /* 8.0 */
/* x < 8.0 */
i = (int)x;
y = x - (double)i;
p = y * (s0 + y * (s1 + y * (s2 + y * (s3 + y * (s4 + y * (s5 + y * s6))))));
q = r0 + y * (r1 + y * (r2 + y * (r3 + y * (r4 + y * (r5 + y * (r6 + y))))));
r = 0.5 * y + p / q;
z = 1.0;
/* lgamma(1+s) = log(s) + lgamma(s) */
switch (i) {
case 7:
z *= (y + 6.0); /* FALLTHRU */
case 6:
z *= (y + 5.0); /* FALLTHRU */
case 5:
z *= (y + 4.0); /* FALLTHRU */
case 4:
z *= (y + 3.0); /* FALLTHRU */
case 3:
z *= (y + 2.0); /* FALLTHRU */
r += logl(z);
break;
}
} else if (ix < 0x40418000) { /* 2^66 */
/* 8.0 <= x < 2**66 */
t = logl(x);
z = 1.0 / x;
y = z * z;
w = w0 + z * (w1 + y * (w2 + y * (w3 + y * (w4 + y * (w5 + y * (w6 + y * w7))))));
r = (x - 0.5) * (t - 1.0) + w;
} else /* 2**66 <= x <= inf */
r = x * (logl(x) - 1.0);
if (sign)
r = nadj - r;
return r;
}
#elif LDBL_MANT_DIG == 113 && LDBL_MAX_EXP == 16384
// TODO: broken implementation to make things compile
double lgamma_r(double x, int *sg);
long double lgammal_r(long double x, int *sg)
{
return lgamma_r(x, sg);
}
#endif
int signgam_lgammal;
long double lgammal(long double x)
{
return lgammal_r(x, &signgam_lgammal);
}

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@ -57,8 +57,8 @@ if (SANITIZE)
endif ()
elseif (SANITIZE STREQUAL "undefined")
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${SAN_FLAGS} -fsanitize=undefined -fno-sanitize-recover=all -fno-sanitize=float-divide-by-zero")
set (CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${SAN_FLAGS} -fsanitize=undefined -fno-sanitize-recover=all -fno-sanitize=float-divide-by-zero")
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${SAN_FLAGS} -fsanitize=undefined -fno-sanitize-recover=all -fno-sanitize=float-divide-by-zero -fsanitize-blacklist=${CMAKE_SOURCE_DIR}/tests/ubsan_suppressions.txt")
set (CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${SAN_FLAGS} -fsanitize=undefined -fno-sanitize-recover=all -fno-sanitize=float-divide-by-zero -fsanitize-blacklist=${CMAKE_SOURCE_DIR}/tests/ubsan_suppressions.txt")
if (CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
set (CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -fsanitize=undefined")
endif()

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@ -15,6 +15,10 @@ if (COMPILER_GCC)
elseif (COMPILER_CLANG)
# Require minimum version of clang/apple-clang
if (CMAKE_CXX_COMPILER_ID MATCHES "AppleClang")
# If you are developer you can figure out what exact versions of AppleClang are Ok,
# remove the following line and commit changes below.
message (FATAL_ERROR "AppleClang is not supported, you should install clang from brew.")
# AppleClang 10.0.1 (Xcode 10.2) corresponds to LLVM/Clang upstream version 7.0.0
# AppleClang 11.0.0 (Xcode 11.0) corresponds to LLVM/Clang upstream version 8.0.0
set (XCODE_MINIMUM_VERSION 10.2)

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@ -20,7 +20,6 @@ add_subdirectory (boost-cmake)
add_subdirectory (cctz-cmake)
add_subdirectory (consistent-hashing-sumbur)
add_subdirectory (consistent-hashing)
add_subdirectory (croaring)
add_subdirectory (FastMemcpy)
add_subdirectory (hyperscan-cmake)
add_subdirectory (jemalloc-cmake)
@ -34,6 +33,7 @@ add_subdirectory (ryu-cmake)
add_subdirectory (unixodbc-cmake)
add_subdirectory (poco-cmake)
add_subdirectory (croaring-cmake)
# TODO: refactor the contrib libraries below this comment.

1
contrib/croaring vendored Submodule

@ -0,0 +1 @@
Subproject commit 5f20740ec0de5e153e8f4cb2ab91814e8b291a14

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@ -0,0 +1,25 @@
set(LIBRARY_DIR ${ClickHouse_SOURCE_DIR}/contrib/croaring)
set(SRCS
${LIBRARY_DIR}/src/array_util.c
${LIBRARY_DIR}/src/bitset_util.c
${LIBRARY_DIR}/src/containers/array.c
${LIBRARY_DIR}/src/containers/bitset.c
${LIBRARY_DIR}/src/containers/containers.c
${LIBRARY_DIR}/src/containers/convert.c
${LIBRARY_DIR}/src/containers/mixed_intersection.c
${LIBRARY_DIR}/src/containers/mixed_union.c
${LIBRARY_DIR}/src/containers/mixed_equal.c
${LIBRARY_DIR}/src/containers/mixed_subset.c
${LIBRARY_DIR}/src/containers/mixed_negation.c
${LIBRARY_DIR}/src/containers/mixed_xor.c
${LIBRARY_DIR}/src/containers/mixed_andnot.c
${LIBRARY_DIR}/src/containers/run.c
${LIBRARY_DIR}/src/roaring.c
${LIBRARY_DIR}/src/roaring_priority_queue.c
${LIBRARY_DIR}/src/roaring_array.c)
add_library(roaring ${SRCS})
target_include_directories(roaring PRIVATE ${LIBRARY_DIR}/include/roaring)
target_include_directories(roaring SYSTEM BEFORE PUBLIC ${LIBRARY_DIR}/include)

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@ -1,6 +0,0 @@
add_library(roaring
roaring.c
roaring/roaring.h
roaring/roaring.hh)
target_include_directories (roaring SYSTEM PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})

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@ -1,202 +0,0 @@
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To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "{}"
replaced with your own identifying information. (Don't include
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Copyright 2016 The CRoaring authors
Licensed under the Apache License, Version 2.0 (the "License");
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View File

@ -1,2 +0,0 @@
download from https://github.com/RoaringBitmap/CRoaring/archive/v0.2.57.tar.gz
and use ./amalgamation.sh generate

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@ -153,82 +153,19 @@ initdb()
start()
{
[ -x $CLICKHOUSE_BINDIR/$PROGRAM ] || exit 0
local EXIT_STATUS
EXIT_STATUS=0
echo -n "Start $PROGRAM service: "
if is_running; then
echo -n "already running "
EXIT_STATUS=1
else
ulimit -n 262144
mkdir -p $CLICKHOUSE_PIDDIR
chown -R $CLICKHOUSE_USER:$CLICKHOUSE_GROUP $CLICKHOUSE_PIDDIR
initdb
if ! is_running; then
# Lock should not be held while running child process, so we release the lock. Note: obviously, there is race condition.
# But clickhouse-server has protection from simultaneous runs with same data directory.
su -s $SHELL ${CLICKHOUSE_USER} -c "$FLOCK -u 9; $CLICKHOUSE_PROGRAM_ENV exec -a \"$PROGRAM\" \"$CLICKHOUSE_BINDIR/$PROGRAM\" --daemon --pid-file=\"$CLICKHOUSE_PIDFILE\" --config-file=\"$CLICKHOUSE_CONFIG\""
EXIT_STATUS=$?
if [ $EXIT_STATUS -ne 0 ]; then
return $EXIT_STATUS
fi
fi
fi
if [ $EXIT_STATUS -eq 0 ]; then
attempts=0
while ! is_running && [ $attempts -le ${CLICKHOUSE_START_TIMEOUT:=10} ]; do
attempts=$(($attempts + 1))
sleep 1
done
if is_running; then
echo "DONE"
else
echo "UNKNOWN"
fi
else
echo "FAILED"
fi
return $EXIT_STATUS
${CLICKHOUSE_GENERIC_PROGRAM} start --user "${CLICKHOUSE_USER}" --pid-path "${CLICKHOUSE_PIDDIR}" --config-path "${CLICKHOUSE_CONFDIR}" --binary-path "${CLICKHOUSE_BINDIR}"
}
stop()
{
#local EXIT_STATUS
EXIT_STATUS=0
if [ -f $CLICKHOUSE_PIDFILE ]; then
echo -n "Stop $PROGRAM service: "
kill -TERM $(cat "$CLICKHOUSE_PIDFILE")
if ! wait_for_done ${CLICKHOUSE_STOP_TIMEOUT}; then
EXIT_STATUS=2
echo "TIMEOUT"
else
echo "DONE"
fi
fi
return $EXIT_STATUS
${CLICKHOUSE_GENERIC_PROGRAM} stop --pid-path "${CLICKHOUSE_PIDDIR}"
}
restart()
{
check_config
if stop; then
if start; then
return 0
fi
fi
return 1
${CLICKHOUSE_GENERIC_PROGRAM} restart --user "${CLICKHOUSE_USER}" --pid-path "${CLICKHOUSE_PIDDIR}" --config-path "${CLICKHOUSE_CONFDIR}" --binary-path "${CLICKHOUSE_BINDIR}"
}

View File

@ -2,6 +2,7 @@
set -e
# set -x
PROGRAM=clickhouse-server
CLICKHOUSE_USER=${CLICKHOUSE_USER:=clickhouse}
CLICKHOUSE_GROUP=${CLICKHOUSE_GROUP:=${CLICKHOUSE_USER}}
# Please note that we don't support paths with whitespaces. This is rather ignorant.
@ -12,6 +13,7 @@ CLICKHOUSE_BINDIR=${CLICKHOUSE_BINDIR:=/usr/bin}
CLICKHOUSE_GENERIC_PROGRAM=${CLICKHOUSE_GENERIC_PROGRAM:=clickhouse}
EXTRACT_FROM_CONFIG=${CLICKHOUSE_GENERIC_PROGRAM}-extract-from-config
CLICKHOUSE_CONFIG=$CLICKHOUSE_CONFDIR/config.xml
CLICKHOUSE_PIDDIR=/var/run/$PROGRAM
[ -f /usr/share/debconf/confmodule ] && . /usr/share/debconf/confmodule
[ -f /etc/default/clickhouse ] && . /etc/default/clickhouse
@ -41,105 +43,5 @@ if [ "$1" = configure ] || [ -n "$not_deb_os" ]; then
fi
fi
# Make sure the administrative user exists
if ! getent passwd ${CLICKHOUSE_USER} > /dev/null; then
if [ -n "$not_deb_os" ]; then
useradd -r -s /bin/false --home-dir /nonexistent ${CLICKHOUSE_USER} > /dev/null
else
adduser --system --disabled-login --no-create-home --home /nonexistent \
--shell /bin/false --group --gecos "ClickHouse server" ${CLICKHOUSE_USER} > /dev/null
fi
fi
# if the user was created manually, make sure the group is there as well
if ! getent group ${CLICKHOUSE_GROUP} > /dev/null; then
groupadd -r ${CLICKHOUSE_GROUP} > /dev/null
fi
# make sure user is in the correct group
if ! id -Gn ${CLICKHOUSE_USER} | grep -qw ${CLICKHOUSE_USER}; then
usermod -a -G ${CLICKHOUSE_GROUP} ${CLICKHOUSE_USER} > /dev/null
fi
# check validity of user and group
if [ "$(id -u ${CLICKHOUSE_USER})" -eq 0 ]; then
echo "The ${CLICKHOUSE_USER} system user must not have uid 0 (root).
Please fix this and reinstall this package." >&2
exit 1
fi
if [ "$(id -g ${CLICKHOUSE_GROUP})" -eq 0 ]; then
echo "The ${CLICKHOUSE_USER} system user must not have root as primary group.
Please fix this and reinstall this package." >&2
exit 1
fi
if [ -x "$CLICKHOUSE_BINDIR/$EXTRACT_FROM_CONFIG" ] && [ -f "$CLICKHOUSE_CONFIG" ]; then
if [ -z "$SHELL" ]; then
SHELL="/bin/sh"
fi
CLICKHOUSE_DATADIR_FROM_CONFIG=$(su -s $SHELL ${CLICKHOUSE_USER} -c "$CLICKHOUSE_BINDIR/$EXTRACT_FROM_CONFIG --config-file=\"$CLICKHOUSE_CONFIG\" --key=path") ||:
echo "Path to data directory in ${CLICKHOUSE_CONFIG}: ${CLICKHOUSE_DATADIR_FROM_CONFIG}"
fi
CLICKHOUSE_DATADIR_FROM_CONFIG=${CLICKHOUSE_DATADIR_FROM_CONFIG:=$CLICKHOUSE_DATADIR}
if [ ! -d ${CLICKHOUSE_DATADIR_FROM_CONFIG} ]; then
mkdir -p ${CLICKHOUSE_DATADIR_FROM_CONFIG}
chown ${CLICKHOUSE_USER}:${CLICKHOUSE_GROUP} ${CLICKHOUSE_DATADIR_FROM_CONFIG}
chmod 700 ${CLICKHOUSE_DATADIR_FROM_CONFIG}
fi
if [ -d ${CLICKHOUSE_CONFDIR} ]; then
mkdir -p ${CLICKHOUSE_CONFDIR}/users.d
mkdir -p ${CLICKHOUSE_CONFDIR}/config.d
rm -fv ${CLICKHOUSE_CONFDIR}/*-preprocessed.xml ||:
fi
[ -e ${CLICKHOUSE_CONFDIR}/preprocessed ] || ln -s ${CLICKHOUSE_DATADIR_FROM_CONFIG}/preprocessed_configs ${CLICKHOUSE_CONFDIR}/preprocessed ||:
if [ ! -d ${CLICKHOUSE_LOGDIR} ]; then
mkdir -p ${CLICKHOUSE_LOGDIR}
chown root:${CLICKHOUSE_GROUP} ${CLICKHOUSE_LOGDIR}
# Allow everyone to read logs, root and clickhouse to read-write
chmod 775 ${CLICKHOUSE_LOGDIR}
fi
# Set net_admin capabilities to support introspection of "taskstats" performance metrics from the kernel
# and ipc_lock capabilities to allow mlock of clickhouse binary.
# 1. Check that "setcap" tool exists.
# 2. Check that an arbitrary program with installed capabilities can run.
# 3. Set the capabilities.
# The second is important for Docker and systemd-nspawn.
# When the container has no capabilities,
# but the executable file inside the container has capabilities,
# then attempt to run this file will end up with a cryptic "Operation not permitted" message.
TMPFILE=/tmp/test_setcap.sh
command -v setcap >/dev/null \
&& echo > $TMPFILE && chmod a+x $TMPFILE && $TMPFILE && setcap "cap_net_admin,cap_ipc_lock,cap_sys_nice+ep" $TMPFILE && $TMPFILE && rm $TMPFILE \
&& setcap "cap_net_admin,cap_ipc_lock,cap_sys_nice+ep" "${CLICKHOUSE_BINDIR}/${CLICKHOUSE_GENERIC_PROGRAM}" \
|| echo "Cannot set 'net_admin' or 'ipc_lock' or 'sys_nice' capability for clickhouse binary. This is optional. Taskstats accounting will be disabled. To enable taskstats accounting you may add the required capability later manually."
# Clean old dynamic compilation results
if [ -d "${CLICKHOUSE_DATADIR_FROM_CONFIG}/build" ]; then
rm -f ${CLICKHOUSE_DATADIR_FROM_CONFIG}/build/*.cpp ${CLICKHOUSE_DATADIR_FROM_CONFIG}/build/*.so ||:
fi
if [ -f /usr/share/debconf/confmodule ]; then
db_get clickhouse-server/default-password
defaultpassword="$RET"
if [ -n "$defaultpassword" ]; then
echo "<yandex><users><default><password>$defaultpassword</password></default></users></yandex>" > ${CLICKHOUSE_CONFDIR}/users.d/default-password.xml
chown ${CLICKHOUSE_USER}:${CLICKHOUSE_GROUP} ${CLICKHOUSE_CONFDIR}/users.d/default-password.xml
chmod 600 ${CLICKHOUSE_CONFDIR}/users.d/default-password.xml
fi
# everything went well, so now let's reset the password
db_set clickhouse-server/default-password ""
# ... done with debconf here
db_stop
fi
${CLICKHOUSE_GENERIC_PROGRAM} install --user "${CLICKHOUSE_USER}" --group "${CLICKHOUSE_GROUP}" --pid-path "${CLICKHOUSE_PIDDIR}" --config-path "${CLICKHOUSE_CONFDIR}" --binary-path "${CLICKHOUSE_BINDIR}" --log-path "${CLICKHOUSE_LOGDIR}" --data-path "${CLICKHOUSE_DATADIR}"
fi

View File

@ -31,14 +31,10 @@ RUN curl -O https://clickhouse-builds.s3.yandex.net/utils/1/dpkg-deb \
&& chmod +x dpkg-deb \
&& cp dpkg-deb /usr/bin
ENV APACHE_PUBKEY_HASH="bba6987b63c63f710fd4ed476121c588bc3812e99659d27a855f8c4d312783ee66ad6adfce238765691b04d62fa3688f"
RUN export CODENAME="$(lsb_release --codename --short | tr 'A-Z' 'a-z')" \
&& wget -nv -O /tmp/arrow-keyring.deb "https://apache.bintray.com/arrow/ubuntu/apache-arrow-archive-keyring-latest-${CODENAME}.deb" \
&& echo "${APACHE_PUBKEY_HASH} /tmp/arrow-keyring.deb" | sha384sum -c \
&& dpkg -i /tmp/arrow-keyring.deb
# Libraries from OS are only needed to test the "unbundled" build (this is not used in production).
RUN apt-get update \
&& apt-get install \

View File

@ -53,16 +53,18 @@ RUN apt-get update \
ninja-build \
psmisc \
python3 \
python3-pip \
python3-lxml \
python3-requests \
python3-termcolor \
qemu-user-static \
rename \
software-properties-common \
tzdata \
unixodbc \
--yes --no-install-recommends
RUN pip3 install numpy scipy pandas
# This symlink required by gcc to find lld compiler
RUN ln -s /usr/bin/lld-${LLVM_VERSION} /usr/bin/ld.lld
@ -80,6 +82,7 @@ RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
ENV COMMIT_SHA=''
ENV PULL_REQUEST_NUMBER=''
ENV COPY_CLICKHOUSE_BINARY_TO_OUTPUT=0
COPY run.sh /
CMD ["/bin/bash", "/run.sh"]

View File

@ -20,6 +20,7 @@ FASTTEST_SOURCE=$(readlink -f "${FASTTEST_SOURCE:-$FASTTEST_WORKSPACE/ch}")
FASTTEST_BUILD=$(readlink -f "${FASTTEST_BUILD:-${BUILD:-$FASTTEST_WORKSPACE/build}}")
FASTTEST_DATA=$(readlink -f "${FASTTEST_DATA:-$FASTTEST_WORKSPACE/db-fasttest}")
FASTTEST_OUTPUT=$(readlink -f "${FASTTEST_OUTPUT:-$FASTTEST_WORKSPACE}")
PATH="$FASTTEST_BUILD/programs:$FASTTEST_SOURCE/tests:$PATH"
# Export these variables, so that all subsequent invocations of the script
# use them, and not try to guess them anew, which leads to weird effects.
@ -28,6 +29,7 @@ export FASTTEST_SOURCE
export FASTTEST_BUILD
export FASTTEST_DATA
export FASTTEST_OUT
export PATH
server_pid=none
@ -125,7 +127,7 @@ function clone_submodules
(
cd "$FASTTEST_SOURCE"
SUBMODULES_TO_UPDATE=(contrib/boost contrib/zlib-ng contrib/libxml2 contrib/poco contrib/libunwind contrib/ryu contrib/fmtlib contrib/base64 contrib/cctz contrib/libcpuid contrib/double-conversion contrib/libcxx contrib/libcxxabi contrib/libc-headers contrib/lz4 contrib/zstd contrib/fastops contrib/rapidjson contrib/re2 contrib/sparsehash-c11)
SUBMODULES_TO_UPDATE=(contrib/boost contrib/zlib-ng contrib/libxml2 contrib/poco contrib/libunwind contrib/ryu contrib/fmtlib contrib/base64 contrib/cctz contrib/libcpuid contrib/double-conversion contrib/libcxx contrib/libcxxabi contrib/libc-headers contrib/lz4 contrib/zstd contrib/fastops contrib/rapidjson contrib/re2 contrib/sparsehash-c11 contrib/croaring)
git submodule sync
git submodule update --init --recursive "${SUBMODULES_TO_UPDATE[@]}"
@ -137,7 +139,14 @@ git submodule foreach git clean -xfd
function run_cmake
{
CMAKE_LIBS_CONFIG=("-DENABLE_LIBRARIES=0" "-DENABLE_TESTS=0" "-DENABLE_UTILS=0" "-DENABLE_EMBEDDED_COMPILER=0" "-DENABLE_THINLTO=0" "-DUSE_UNWIND=1")
CMAKE_LIBS_CONFIG=(
"-DENABLE_LIBRARIES=0"
"-DENABLE_TESTS=0"
"-DENABLE_UTILS=0"
"-DENABLE_EMBEDDED_COMPILER=0"
"-DENABLE_THINLTO=0"
"-DUSE_UNWIND=1"
)
# TODO remove this? we don't use ccache anyway. An option would be to download it
# from S3 simultaneously with cloning.
@ -163,6 +172,9 @@ function build
(
cd "$FASTTEST_BUILD"
time ninja clickhouse-bundle | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/build_log.txt"
if [ "$COPY_CLICKHOUSE_BINARY_TO_OUTPUT" -eq "1" ]; then
cp programs/clickhouse "$FASTTEST_OUTPUT/clickhouse"
fi
ccache --show-stats ||:
)
}
@ -191,63 +203,67 @@ stop_server ||:
start_server
TESTS_TO_SKIP=(
parquet
avro
h3
odbc
mysql
sha256
_orc_
arrow
01098_temporary_and_external_tables
01083_expressions_in_engine_arguments
hdfs
00911_tautological_compare
protobuf
capnproto
java_hash
hashing
secure
00490_special_line_separators_and_characters_outside_of_bmp
00436_convert_charset
00105_shard_collations
01354_order_by_tuple_collate_const
01292_create_user
01098_msgpack_format
00929_multi_match_edit_distance
00926_multimatch
00834_cancel_http_readonly_queries_on_client_close
brotli
parallel_alter
00109_shard_totals_after_having
00110_external_sort
00302_http_compression
00417_kill_query
01294_lazy_database_concurrent
01193_metadata_loading
base64
01031_mutations_interpreter_and_context
json
client
01305_replica_create_drop_zookeeper
01092_memory_profiler
01355_ilike
01281_unsucceeded_insert_select_queries_counter
live_view
limit_memory
memory_limit
memory_leak
00110_external_sort
00436_convert_charset
00490_special_line_separators_and_characters_outside_of_bmp
00652_replicated_mutations_zookeeper
00682_empty_parts_merge
00701_rollup
00109_shard_totals_after_having
ddl_dictionaries
00834_cancel_http_readonly_queries_on_client_close
00911_tautological_compare
00926_multimatch
00929_multi_match_edit_distance
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
01092_memory_profiler
01098_msgpack_format
01098_temporary_and_external_tables
01103_check_cpu_instructions_at_startup # avoid dependency on qemu -- invonvenient when running locally
01193_metadata_loading
01238_http_memory_tracking # max_memory_usage_for_user can interfere another queries running concurrently
01251_dict_is_in_infinite_loop
01259_dictionary_custom_settings_ddl
01268_dictionary_direct_layout
01280_ssd_complex_key_dictionary
00652_replicated_mutations_zookeeper
01411_bayesian_ab_testing
01238_http_memory_tracking # max_memory_usage_for_user can interfere another queries running concurrently
01281_group_by_limit_memory_tracking # max_memory_usage_for_user can interfere another queries running concurrently
01318_encrypt # Depends on OpenSSL
01318_decrypt # Depends on OpenSSL
01281_unsucceeded_insert_select_queries_counter
01292_create_user
01294_lazy_database_concurrent
01305_replica_create_drop_zookeeper
01354_order_by_tuple_collate_const
01355_ilike
01411_bayesian_ab_testing
_orc_
arrow
avro
base64
brotli
capnproto
client
ddl_dictionaries
h3
hashing
hdfs
java_hash
json
limit_memory
live_view
memory_leak
memory_limit
mysql
odbc
parallel_alter
parquet
protobuf
secure
sha256
# Not sure why these two fail even in sequential mode. Disabled for now
# to make some progress.
@ -255,10 +271,15 @@ TESTS_TO_SKIP=(
00974_query_profiler
# Look at DistributedFilesToInsert, so cannot run in parallel.
01460_DistributedFilesToInsert
01457_DistributedFilesToInsert
01541_max_memory_usage_for_user
# Require python libraries like scipy, pandas and numpy
01322_ttest_scipy
)
time clickhouse-test -j 8 --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$FASTTEST_OUTPUT/test_log.txt"
time clickhouse-test -j 8 --order=random --no-long --testname --shard --zookeeper --skip "${TESTS_TO_SKIP[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee "$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")
@ -281,7 +302,7 @@ then
echo "Going to run again: ${FAILED_TESTS[*]}"
clickhouse-test --no-long --testname --shard --zookeeper "${FAILED_TESTS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a "$FASTTEST_OUTPUT/test_log.txt"
clickhouse-test --order=random --no-long --testname --shard --zookeeper "${FAILED_TESTS[@]}" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a "$FASTTEST_OUTPUT/test_log.txt"
else
echo "No failed tests"
fi
@ -325,8 +346,6 @@ case "$stage" in
;&
"build")
build
PATH="$FASTTEST_BUILD/programs:$FASTTEST_SOURCE/tests:$PATH"
export PATH
;&
"configure")
# The `install_log.txt` is also needed for compatibility with old CI task --

View File

@ -37,7 +37,28 @@ RUN apt-get update \
ENV TZ=Europe/Moscow
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN python3 -m pip install urllib3==1.23 pytest docker-compose==1.22.0 docker dicttoxml kazoo PyMySQL psycopg2==2.7.5 pymongo tzlocal kafka-python protobuf redis aerospike pytest-timeout minio grpcio grpcio-tools cassandra-driver confluent-kafka avro
RUN python3 -m pip install \
PyMySQL \
aerospike \
avro \
cassandra-driver \
confluent-kafka \
dicttoxml \
docker \
docker-compose==1.22.0 \
grpcio \
grpcio-tools \
kafka-python \
kazoo \
minio \
protobuf \
psycopg2-binary==2.7.5 \
pymongo \
pytest \
pytest-timeout \
redis \
tzlocal \
urllib3
ENV DOCKER_CHANNEL stable
ENV DOCKER_VERSION 17.09.1-ce

View File

@ -9,6 +9,7 @@ RUN apt-get update \
&& DEBIAN_FRONTEND=noninteractive apt-get install --yes --no-install-recommends \
bash \
curl \
dmidecode \
g++ \
gdb \
git \
@ -37,7 +38,18 @@ RUN apt-get update \
COPY * /
CMD /entrypoint.sh
# Bind everything to one NUMA node, if there's more than one. Theoretically the
# node #0 should be less stable because of system interruptions. We bind
# randomly to node 1 or 0 to gather some statistics on that. We have to bind
# both servers and the tmpfs on which the database is stored. How to do it
# through Yandex Sandbox API is unclear, but by default tmpfs uses
# 'process allocation policy', not sure which process but hopefully the one that
# writes to it, so just bind the downloader script as well. We could also try to
# remount it with proper options in Sandbox task.
# https://www.kernel.org/doc/Documentation/filesystems/tmpfs.txt
# Double-escaped backslashes are a tribute to the engineering wonder of docker --
# it gives '/bin/sh: 1: [bash,: not found' otherwise.
CMD ["bash", "-c", "node=$((RANDOM % $(numactl --hardware | sed -n 's/^.*available:\\(.*\\)nodes.*$/\\1/p'))); echo Will bind to NUMA node $node; numactl --cpunodebind=$node --membind=$node /entrypoint.sh"]
# docker run --network=host --volume <workspace>:/workspace --volume=<output>:/output -e PR_TO_TEST=<> -e SHA_TO_TEST=<> yandex/clickhouse-performance-comparison

View File

@ -48,12 +48,13 @@ This table shows queries that take significantly longer to process on the client
#### Unexpected Query Duration
Action required for every item -- these are errors that must be fixed.
Queries that have "short" duration (on the order of 0.1 s) can't be reliably tested in a normal way, where we perform a small (about ten) measurements for each server, because the signal-to-noise ratio is much smaller. There is a special mode for such queries that instead runs them for a fixed amount of time, normally with much higher number of measurements (up to thousands). This mode must be explicitly enabled by the test author to avoid accidental errors. It must be used only for queries that are meant to complete "immediately", such as `select count(*)`. If your query is not supposed to be "immediate", try to make it run longer, by e.g. processing more data.
A query is supposed to run longer than 0.1 second. If your query runs faster, increase the amount of processed data to bring the run time above this threshold. You can use a bigger table (e.g. `hits_100m` instead of `hits_10m`), increase a `LIMIT`, make a query single-threaded, and so on. Queries that are too fast suffer from poor stability and precision.
This table shows queries for which the "short" marking is not consistent with the actual query run time -- i.e., a query runs for a long time but is marked as short, or it runs very fast but is not marked as short.
Sometimes you want to test a query that is supposed to complete "instantaneously", i.e. in sublinear time. This might be `count(*)`, or parsing a complicated tuple. It might not be practical or even possible to increase the run time of such queries by adding more data. For such queries there is a specal comparison mode which runs them for a fixed amount of time, instead of a fixed number of iterations like we do normally. This mode is inferior to the normal mode, because the influence of noise and overhead is higher, which leads to less precise and stable results.
If your query is really supposed to complete "immediately" and can't be made to run longer, you have to mark it as "short". To do so, write `<query short="1">...` in the test file. The value of "short" attribute is evaluated as a python expression, and substitutions are performed, so you can write something like `<query short="{column1} = {column2}">select count(*) from table where {column1} > {column2}</query>`, to mark only a particular combination of variables as short.
If it is impossible to increase the run time of a query and it is supposed to complete "immediately", you have to explicitly mark this in the test. To do so, add a `short` attribute to the query tag in the test file: `<query short="1">...`. The value of the `short` attribute is evaluated as a python expression, and substitutions are performed, so you can write something like `<query short="{column1} = {column2}">select count(*) from table where {column1} > {column2}</query>`, to mark only a particular combination of variables as short.
This table shows queries for which the `short` marking is not consistent with the actual query run time -- i.e., a query runs for a normal time but is marked as `short`, or it runs faster than normal but is not marked as `short`.
#### Partial Queries
Action required for the cells marked in red.

View File

@ -77,20 +77,33 @@ function restart
while killall clickhouse-server; do echo . ; sleep 1 ; done
echo all killed
set -m # Spawn servers in their own process groups
# Disable percpu arenas because they segfault when the process is bound to
# a particular NUMA node: https://github.com/jemalloc/jemalloc/pull/1939
#
# About the jemalloc settings:
# https://github.com/jemalloc/jemalloc/wiki/Getting-Started
export MALLOC_CONF="percpu_arena:disabled,confirm_conf:true"
left/clickhouse-server --config-file=left/config/config.xml -- --path left/db --user_files_path left/db/user_files &>> left-server-log.log &
set -m # Spawn servers in their own process groups
left/clickhouse-server --config-file=left/config/config.xml \
-- --path left/db --user_files_path left/db/user_files \
&>> left-server-log.log &
left_pid=$!
kill -0 $left_pid
disown $left_pid
right/clickhouse-server --config-file=right/config/config.xml -- --path right/db --user_files_path right/db/user_files &>> right-server-log.log &
right/clickhouse-server --config-file=right/config/config.xml \
-- --path right/db --user_files_path right/db/user_files \
&>> right-server-log.log &
right_pid=$!
kill -0 $right_pid
disown $right_pid
set +m
unset MALLOC_CONF
wait_for_server 9001 $left_pid
echo left ok
@ -449,7 +462,12 @@ wait
unset IFS
)
parallel --joblog analyze/parallel-log.txt --null < analyze/commands.txt 2>> analyze/errors.log
# The comparison script might be bound to one NUMA node for better test
# stability, and the calculation runs out of memory because of this. Use
# all nodes.
numactl --show
numactl --cpunodebind=all --membind=all numactl --show
numactl --cpunodebind=all --membind=all parallel --joblog analyze/parallel-log.txt --null < analyze/commands.txt 2>> analyze/errors.log
clickhouse-local --query "
-- Join the metric names back to the metric statistics we've calculated, and make
@ -1070,8 +1088,10 @@ case "$stage" in
time configure
;&
"restart")
numactl --show ||:
numactl --hardware ||:
lscpu ||:
dmidecode -t 4 ||:
time restart
;&
"run_tests")

View File

@ -14,6 +14,9 @@
we might also add time check to perf.py script.
-->
<max_execution_time>300</max_execution_time>
<!-- One NUMA node w/o hyperthreading -->
<max_threads>20</max_threads>
</default>
</profiles>
</yandex>

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@ -468,14 +468,14 @@ if args.report == 'main':
return
columns = [
'Test', #0
'Wall clock time,&nbsp;s', #1
'Total client time,&nbsp;s', #2
'Total queries', #3
'Longest query<br>(sum for all runs),&nbsp;s', #4
'Avg wall clock time<br>(sum for all runs),&nbsp;s', #5
'Shortest query<br>(sum for all runs),&nbsp;s', #6
'', # Runs #7
'Test', #0
'Wall clock time, entire test,&nbsp;s', #1
'Total client time for measured query runs,&nbsp;s', #2
'Queries', #3
'Longest query, total for measured runs,&nbsp;s', #4
'Wall clock time per query,&nbsp;s', #5
'Shortest query, total for measured runs,&nbsp;s', #6
'', # Runs #7
]
attrs = ['' for c in columns]
attrs[7] = None

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@ -16,6 +16,7 @@ RUN apt-get update -y \
python3-lxml \
python3-requests \
python3-termcolor \
python3-pip \
qemu-user-static \
sudo \
telnet \
@ -23,6 +24,8 @@ RUN apt-get update -y \
unixodbc \
wget
RUN pip3 install numpy scipy pandas
RUN mkdir -p /tmp/clickhouse-odbc-tmp \
&& wget -nv -O - ${odbc_driver_url} | tar --strip-components=1 -xz -C /tmp/clickhouse-odbc-tmp \
&& cp /tmp/clickhouse-odbc-tmp/lib64/*.so /usr/local/lib/ \
@ -33,5 +36,8 @@ RUN mkdir -p /tmp/clickhouse-odbc-tmp \
ENV TZ=Europe/Moscow
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
ENV NUM_TRIES=1
ENV MAX_RUN_TIME=0
COPY run.sh /
CMD ["/bin/bash", "/run.sh"]

View File

@ -1,6 +1,7 @@
#!/bin/bash
set -e -x
# fail on errors, verbose and export all env variables
set -e -x -a
dpkg -i package_folder/clickhouse-common-static_*.deb
dpkg -i package_folder/clickhouse-common-static-dbg_*.deb
@ -16,9 +17,17 @@ service clickhouse-server start && sleep 5
if grep -q -- "--use-skip-list" /usr/bin/clickhouse-test; then
SKIP_LIST_OPT="--use-skip-list"
fi
# We can have several additional options so we path them as array because it's
# more idiologically correct.
read -ra ADDITIONAL_OPTIONS <<< "${ADDITIONAL_OPTIONS:-}"
clickhouse-test --testname --shard --zookeeper --hung-check --print-time "$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" "$SKIP_TESTS_OPTION" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee test_output/test_result.txt
function run_tests()
{
for i in $(seq 1 $NUM_TRIES); do
clickhouse-test --testname --shard --zookeeper --hung-check --print-time "$SKIP_LIST_OPT" "${ADDITIONAL_OPTIONS[@]}" "$SKIP_TESTS_OPTION" 2>&1 | ts '%Y-%m-%d %H:%M:%S' | tee -a test_output/test_result.txt
done
}
export -f run_tests
timeout $MAX_RUN_TIME bash -c run_tests ||:

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@ -58,6 +58,7 @@ RUN apt-get --allow-unauthenticated update -y \
python3-lxml \
python3-requests \
python3-termcolor \
python3-pip \
qemu-user-static \
sudo \
telnet \
@ -68,6 +69,8 @@ RUN apt-get --allow-unauthenticated update -y \
wget \
zlib1g-dev
RUN pip3 install numpy scipy pandas
RUN mkdir -p /tmp/clickhouse-odbc-tmp \
&& wget -nv -O - ${odbc_driver_url} | tar --strip-components=1 -xz -C /tmp/clickhouse-odbc-tmp \
&& cp /tmp/clickhouse-odbc-tmp/lib64/*.so /usr/local/lib/ \

View File

@ -45,7 +45,7 @@ function start()
# 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 verbosity=1 allocator_release_to_os_interval_ms=10000'
export ASAN_OPTIONS='malloc_context_size=10 allocator_release_to_os_interval_ms=10000'
start

View File

@ -28,8 +28,18 @@ def get_options(i):
options = ""
if 0 < i:
options += " --order=random"
if i % 2 == 1:
options += " --db-engine=Ordinary"
# 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:
options += " --database=test_{}".format(i)
if i == 13:
options += " --client-option='memory_tracker_fault_probability=0.00001'"
return options

View File

@ -35,7 +35,7 @@ RUN apt-get update \
ENV TZ=Europe/Moscow
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN pip3 install urllib3 testflows==1.6.48 docker-compose docker dicttoxml kazoo tzlocal
RUN pip3 install urllib3 testflows==1.6.57 docker-compose docker dicttoxml kazoo tzlocal
ENV DOCKER_CHANNEL stable
ENV DOCKER_VERSION 17.09.1-ce
@ -72,5 +72,5 @@ RUN set -x \
VOLUME /var/lib/docker
EXPOSE 2375
ENTRYPOINT ["dockerd-entrypoint.sh"]
CMD ["sh", "-c", "python3 regression.py --no-color --local --clickhouse-binary-path ${CLICKHOUSE_TESTS_SERVER_BIN_PATH} --log test.log ${TESTFLOWS_OPTS}; cat test.log | tfs report results --format json > results.json"]
CMD ["sh", "-c", "python3 regression.py --no-color -o classic --local --clickhouse-binary-path ${CLICKHOUSE_TESTS_SERVER_BIN_PATH} --log test.log ${TESTFLOWS_OPTS}; cat test.log | tfs report results --format json > results.json"]

View File

@ -195,7 +195,7 @@ Templates:
- [Function](_description_templates/template-function.md)
- [Setting](_description_templates/template-setting.md)
- [Table engine](_description_templates/template-table-engine.md)
- [Database or Table engine](_description_templates/template-engine.md)
- [System table](_description_templates/template-system-table.md)

View File

@ -1,8 +1,14 @@
# EngineName {#enginename}
- What the engine does.
- What the Database/Table engine does.
- Relations with other engines if they exist.
## Creating a Database {#creating-a-database}
``` sql
CREATE DATABASE ...
```
or
## Creating a Table {#creating-a-table}
``` sql
CREATE TABLE ...
@ -10,12 +16,19 @@
**Engine Parameters**
**Query Clauses**
**Query Clauses** (for Table engines only)
## Virtual columns {#virtual-columns}
## Virtual columns {#virtual-columns} (for Table engines only)
List and virtual columns with description, if they exist.
## Data Types Support {#data_types-support} (for Database engines only)
| EngineName | ClickHouse |
|-----------------------|------------------------------------|
| NativeDataTypeName | [ClickHouseDataTypeName](link#) |
## Specifics and recommendations {#specifics-and-recommendations}
Algorithms

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@ -18,4 +18,14 @@ toc_title: Cloud
- Encryption and isolation
- Automated maintenance
## Altinity.Cloud {#altinity.cloud}
[Altinity.Cloud](https://altinity.com/cloud-database/) is a fully managed ClickHouse-as-a-Service for the Amazon public cloud.
- Fast deployment of ClickHouse clusters on Amazon resources
- Easy scale-out/scale-in as well as vertical scaling of nodes
- Isolated per-tenant VPCs with public endpoint or VPC peering
- Configurable storage types and volume configurations
- Cross-AZ scaling for performance and high availability
- Built-in monitoring and SQL query editor
{## [Original article](https://clickhouse.tech/docs/en/commercial/cloud/) ##}

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@ -47,6 +47,8 @@ select x; -- { serverError 49 }
```
This test ensures that the server returns an error with code 49 about unknown column `x`. If there is no error, or the error is different, the test will fail. If you want to ensure that an error occurs on the client side, use `clientError` annotation instead.
Do not check for a particular wording of error message, it may change in the future, and the test will needlessly break. Check only the error code. If the existing error code is not precise enough for your needs, consider adding a new one.
### Testing a Distributed Query
If you want to use distributed queries in functional tests, you can leverage `remote` table function with `127.0.0.{1..2}` addresses for the server to query itself; or you can use predefined test clusters in server configuration file like `test_shard_localhost`. Remember to add the words `shard` or `distributed` to the test name, so that it is ran in CI in correct configurations, where the server is configured to support distributed queries.

View File

@ -117,7 +117,9 @@ CREATE TABLE table_name
</details>
As the example shows, these parameters can contain substitutions in curly brackets. The substituted values are taken from the macros section of the configuration file. Example:
As the example shows, these parameters can contain substitutions in curly brackets. The substituted values are taken from the «[macros](../../../operations/server-configuration-parameters/settings/#macros) section of the configuration file.
Example:
``` xml
<macros>
@ -137,6 +139,9 @@ In this case, the path consists of the following parts:
`table_name` is the name of the node for the table in ZooKeeper. It is a good idea to make it the same as the table name. It is defined explicitly, because in contrast to the table name, it doesnt change after a RENAME query.
*HINT*: you could add a database name in front of `table_name` as well. E.g. `db_name.table_name`
The two built-in substitutions `{database}` and `{table}` can be used, they expand into the table name and the database name respectively (unless these macros are defined in the `macros` section). So the zookeeper path can be specified as `'/clickhouse/tables/{layer}-{shard}/{database}/{table}'`.
Be careful with table renames when using these built-in substitutions. The path in Zookeeper cannot be changed, and when the table is renamed, the macros will expand into a different path, the table will refer to a path that does not exist in Zookeeper, and will go into read-only mode.
The replica name identifies different replicas of the same table. You can use the server name for this, as in the example. The name only needs to be unique within each shard.
You can define the parameters explicitly instead of using substitutions. This might be convenient for testing and for configuring small clusters. However, you cant use distributed DDL queries (`ON CLUSTER`) in this case.

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@ -30,4 +30,4 @@ Instead of inserting data manually, you might consider to use one of [client lib
- `input_format_import_nested_json` allows to insert nested JSON objects into columns of [Nested](../../sql-reference/data-types/nested-data-structures/nested.md) type.
!!! note "Note"
Settings are specified as `GET` parameters for the HTTP interface or as additional command-line arguments prefixed with `--` for the CLI interface.
Settings are specified as `GET` parameters for the HTTP interface or as additional command-line arguments prefixed with `--` for the `CLI` interface.

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@ -1,5 +1,5 @@
---
toc_priority: 17
toc_priority: 19
toc_title: AMPLab Big Data Benchmark
---

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@ -1,5 +1,5 @@
---
toc_priority: 19
toc_priority: 18
toc_title: Terabyte Click Logs from Criteo
---

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@ -1,6 +1,6 @@
---
toc_folder_title: Example Datasets
toc_priority: 15
toc_priority: 14
toc_title: Introduction
---
@ -18,4 +18,4 @@ The list of documented datasets:
- [New York Taxi Data](../../getting-started/example-datasets/nyc-taxi.md)
- [OnTime](../../getting-started/example-datasets/ontime.md)
[Original article](https://clickhouse.tech/docs/en/getting_started/example_datasets) <!--hide-->
[Original article](https://clickhouse.tech/docs/en/getting_started/example_datasets) <!--hide-->

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@ -1,5 +1,5 @@
---
toc_priority: 14
toc_priority: 15
toc_title: Yandex.Metrica Data
---

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@ -1,5 +1,5 @@
---
toc_priority: 16
toc_priority: 20
toc_title: New York Taxi Data
---

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@ -1,5 +1,5 @@
---
toc_priority: 15
toc_priority: 21
toc_title: OnTime
---

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@ -1,5 +1,5 @@
---
toc_priority: 20
toc_priority: 16
toc_title: Star Schema Benchmark
---

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@ -1,5 +1,5 @@
---
toc_priority: 18
toc_priority: 17
toc_title: WikiStat
---

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@ -460,7 +460,7 @@ See also the [JSONEachRow](#jsoneachrow) format.
## JSONString {#jsonstring}
Differs from JSON only in that data fields are output in strings, not in typed json values.
Differs from JSON only in that data fields are output in strings, not in typed JSON values.
Example:
@ -596,7 +596,7 @@ When inserting the data, you should provide a separate JSON value for each row.
## JSONEachRowWithProgress {#jsoneachrowwithprogress}
## JSONStringEachRowWithProgress {#jsonstringeachrowwithprogress}
Differs from JSONEachRow/JSONStringEachRow in that ClickHouse will also yield progress information as JSON objects.
Differs from `JSONEachRow`/`JSONStringEachRow` in that ClickHouse will also yield progress information as JSON values.
```json
{"row":{"'hello'":"hello","multiply(42, number)":"0","range(5)":[0,1,2,3,4]}}
@ -608,7 +608,7 @@ Differs from JSONEachRow/JSONStringEachRow in that ClickHouse will also yield pr
## JSONCompactEachRowWithNamesAndTypes {#jsoncompacteachrowwithnamesandtypes}
## JSONCompactStringEachRowWithNamesAndTypes {#jsoncompactstringeachrowwithnamesandtypes}
Differs from JSONCompactEachRow/JSONCompactStringEachRow in that the column names and types are written as the first two rows.
Differs from `JSONCompactEachRow`/`JSONCompactStringEachRow` in that the column names and types are written as the first two rows.
```json
["'hello'", "multiply(42, number)", "range(5)"]

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@ -6,7 +6,7 @@ toc_title: Client Libraries
# Client Libraries from Third-party Developers {#client-libraries-from-third-party-developers}
!!! warning "Disclaimer"
Yandex does **not** maintain the libraries listed below and havent done any extensive testing to ensure their quality.
Yandex does **not** maintain the libraries listed below and hasnt done any extensive testing to ensure their quality.
- Python
- [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm)

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@ -77,6 +77,7 @@ toc_title: Adopters
| <a href="https://rambler.ru" class="favicon">Rambler</a> | Internet services | Analytics | — | — | [Talk in Russian, April 2018](https://medium.com/@ramblertop/разработка-api-clickhouse-для-рамблер-топ-100-f4c7e56f3141) |
| <a href="https://retell.cc/" class="favicon">Retell</a> | Speech synthesis | Analytics | — | — | [Blog Article, August 2020](https://vc.ru/services/153732-kak-sozdat-audiostati-na-vashem-sayte-i-zachem-eto-nuzhno) |
| <a href="https://rspamd.com/" class="favicon">Rspamd</a> | Antispam | Analytics | — | — | [Official Website](https://rspamd.com/doc/modules/clickhouse.html) |
| <a href="https://rusiem.com/en" class="favicon">RuSIEM</a> | SIEM | Main Product | — | — | [Official Website](https://rusiem.com/en/products/architecture) |
| <a href="https://www.s7.ru" class="favicon">S7 Airlines</a> | Airlines | Metrics, Logging | — | — | [Talk in Russian, March 2019](https://www.youtube.com/watch?v=nwG68klRpPg&t=15s) |
| <a href="https://www.scireum.de/" class="favicon">scireum GmbH</a> | e-Commerce | Main product | — | — | [Talk in German, February 2020](https://www.youtube.com/watch?v=7QWAn5RbyR4) |
| <a href="https://segment.com/" class="favicon">Segment</a> | Data processing | Main product | 9 * i3en.3xlarge nodes 7.5TB NVME SSDs, 96GB Memory, 12 vCPUs | — | [Slides, 2019](https://slides.com/abraithwaite/segment-clickhouse) |
@ -88,6 +89,7 @@ toc_title: Adopters
| <a href="https://smi2.ru/" class="favicon">SMI2</a> | News | Analytics | — | — | [Blog Post in Russian, November 2017](https://habr.com/ru/company/smi2/blog/314558/) |
| <a href="https://www.splunk.com/" class="favicon">Splunk</a> | Business Analytics | Main product | — | — | [Slides in English, January 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup12/splunk.pdf) |
| <a href="https://www.spotify.com" class="favicon">Spotify</a> | Music | Experimentation | — | — | [Slides, July 2018](https://www.slideshare.net/glebus/using-clickhouse-for-experimentation-104247173) |
| <a href="https://www.staffcop.ru/" class="favicon">Staffcop</a> | Information Security | Main Product | — | — | [Official website, Documentation](https://www.staffcop.ru/sce43) |
| <a href="https://www.tencent.com" class="favicon">Tencent</a> | Big Data | Data processing | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/5.%20ClickHouse大数据集群应用_李俊飞腾讯网媒事业部.pdf) |
| <a href="https://www.tencent.com" class="favicon">Tencent</a> | Messaging | Logging | — | — | [Talk in Chinese, November 2019](https://youtu.be/T-iVQRuw-QY?t=5050) |
| <a href="https://trafficstars.com/" class="favicon">Traffic Stars</a> | AD network | — | — | — | [Slides in Russian, May 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup15/lightning/ninja.pdf) |

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@ -305,6 +305,10 @@ When enabled, replace empty input fields in TSV with default values. For complex
Disabled by default.
## input_format_tsv_enum_as_number {#settings-input_format_tsv_enum_as_number}
For TSV input format switches to parsing enum values as enum ids.
## input_format_null_as_default {#settings-input-format-null-as-default}
Enables or disables using default values if input data contain `NULL`, but the data type of the corresponding column in not `Nullable(T)` (for text input formats).
@ -1161,6 +1165,10 @@ The character is interpreted as a delimiter in the CSV data. By default, the del
For CSV input format enables or disables parsing of unquoted `NULL` as literal (synonym for `\N`).
## input_format_csv_enum_as_number {#settings-input_format_csv_enum_as_number}
For CSV input format switches to parsing enum values as enum ids.
## output_format_csv_crlf_end_of_line {#settings-output-format-csv-crlf-end-of-line}
Use DOS/Windows-style line separator (CRLF) in CSV instead of Unix style (LF).
@ -1398,6 +1406,17 @@ Possible values:
Default value: 0
## allow_nondeterministic_optimize_skip_unused_shards {#allow-nondeterministic-optimize-skip-unused-shards}
Allow nondeterministic (like `rand` or `dictGet`, since later has some caveats with updates) functions in sharding key.
Possible values:
- 0 — Disallowed.
- 1 — Allowed.
Default value: 0
## optimize_skip_unused_shards_nesting {#optimize-skip-unused-shards-nesting}
Controls [`optimize_skip_unused_shards`](#optimize-skip-unused-shards) (hence still requires [`optimize_skip_unused_shards`](#optimize-skip-unused-shards)) depends on the nesting level of the distributed query (case when you have `Distributed` table that look into another `Distributed` table).

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@ -0,0 +1,48 @@
# system.crash_log {#system-tables_crash_log}
Contains information about stack traces for fatal errors. The table does not exist in the database by default, it is created only when fatal errors occur.
Columns:
- `event_date` ([Datetime](../../sql-reference/data-types/datetime.md)) — Date of the event.
- `event_time` ([Datetime](../../sql-reference/data-types/datetime.md)) — Time of the event.
- `timestamp_ns` ([UInt64](../../sql-reference/data-types/int-uint.md)) — Timestamp of the event with nanoseconds.
- `signal` ([Int32](../../sql-reference/data-types/int-uint.md)) — Signal number.
- `thread_id` ([UInt64](../../sql-reference/data-types/int-uint.md)) — Thread ID.
- `query_id` ([String](../../sql-reference/data-types/string.md)) — Query ID.
- `trace` ([Array](../../sql-reference/data-types/array.md)([UInt64](../../sql-reference/data-types/int-uint.md))) — Stack trace at the moment of crash. Each element is a virtual memory address inside ClickHouse server process.
- `trace_full` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Stack trace at the moment of crash. Each element contains a called method inside ClickHouse server process.
- `version` ([String](../../sql-reference/data-types/string.md)) — ClickHouse server version.
- `revision` ([UInt32](../../sql-reference/data-types/int-uint.md)) — ClickHouse server revision.
- `build_id` ([String](../../sql-reference/data-types/string.md)) — BuildID that is generated by compiler.
**Example**
Query:
``` sql
SELECT * FROM system.crash_log ORDER BY event_time DESC LIMIT 1;
```
Result (not full):
``` text
Row 1:
──────
event_date: 2020-10-14
event_time: 2020-10-14 15:47:40
timestamp_ns: 1602679660271312710
signal: 11
thread_id: 23624
query_id: 428aab7c-8f5c-44e9-9607-d16b44467e69
trace: [188531193,...]
trace_full: ['3. DB::(anonymous namespace)::FunctionFormatReadableTimeDelta::executeImpl(std::__1::vector<DB::ColumnWithTypeAndName, std::__1::allocator<DB::ColumnWithTypeAndName> >&, std::__1::vector<unsigned long, std::__1::allocator<unsigned long> > const&, unsigned long, unsigned long) const @ 0xb3cc1f9 in /home/username/work/ClickHouse/build/programs/clickhouse',...]
version: ClickHouse 20.11.1.1
revision: 54442
build_id:
```
**See also**
- [trace_log](../../operations/system-tables/trace_log.md) system table
[Original article](https://clickhouse.tech/docs/en/operations/system-tables/crash-log)

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@ -20,8 +20,8 @@ The `system.query_log` table registers two kinds of queries:
Each query creates one or two rows in the `query_log` table, depending on the status (see the `type` column) of the query:
1. If the query execution was successful, two rows with the `QueryStart` and `QueryFinish` types are created .
2. If an error occurred during query processing, two events with the `QueryStart` and `ExceptionWhileProcessing` types are created .
1. If the query execution was successful, two rows with the `QueryStart` and `QueryFinish` types are created.
2. If an error occurred during query processing, two events with the `QueryStart` and `ExceptionWhileProcessing` types are created.
3. If an error occurred before launching the query, a single event with the `ExceptionBeforeStart` type is created.
Columns:
@ -37,8 +37,8 @@ Columns:
- `query_start_time` ([DateTime](../../sql-reference/data-types/datetime.md)) — Start time of query execution.
- `query_start_time_microseconds` ([DateTime64](../../sql-reference/data-types/datetime64.md)) — Start time of query execution with microsecond precision.
- `query_duration_ms` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Duration of query execution in milliseconds.
- `read_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number or rows read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_rows` includes the total number of rows read at all replicas. Each replica sends its `read_rows` value, and the server-initiator of the query summarize all received and local values. The cache volumes doesnt affect this value.
- `read_bytes` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number or bytes read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_bytes` includes the total number of rows read at all replicas. Each replica sends its `read_bytes` value, and the server-initiator of the query summarize all received and local values. The cache volumes doesnt affect this value.
- `read_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number of rows read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_rows` includes the total number of rows read at all replicas. Each replica sends its `read_rows` value, and the server-initiator of the query summarizes all received and local values. The cache volumes dont affect this value.
- `read_bytes` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Total number of bytes read from all tables and table functions participated in query. It includes usual subqueries, subqueries for `IN` and `JOIN`. For distributed queries `read_bytes` includes the total number of rows read at all replicas. Each replica sends its `read_bytes` value, and the server-initiator of the query summarizes all received and local values. The cache volumes dont affect this value.
- `written_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — For `INSERT` queries, the number of written rows. For other queries, the column value is 0.
- `written_bytes` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — For `INSERT` queries, the number of written bytes. For other queries, the column value is 0.
- `result_rows` ([UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges)) — Number of rows in a result of the `SELECT` query, or a number of rows in the `INSERT` query.

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@ -1,6 +1,6 @@
# system.query_thread_log {#system_tables-query_thread_log}
Contains information about threads which execute queries, for example, thread name, thread start time, duration of query processing.
Contains information about threads that execute queries, for example, thread name, thread start time, duration of query processing.
To start logging:

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@ -1,6 +1,6 @@
# system.text_log {#system_tables-text_log}
Contains logging entries. Logging level which goes to this table can be limited with `text_log.level` server setting.
Contains logging entries. The logging level which goes to this table can be limited to the `text_log.level` server setting.
Columns:

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@ -18,7 +18,7 @@ Columns:
- `revision` ([UInt32](../../sql-reference/data-types/int-uint.md)) — ClickHouse server build revision.
When connecting to server by `clickhouse-client`, you see the string similar to `Connected to ClickHouse server version 19.18.1 revision 54429.`. This field contains the `revision`, but not the `version` of a server.
When connecting to the server by `clickhouse-client`, you see the string similar to `Connected to ClickHouse server version 19.18.1 revision 54429.`. This field contains the `revision`, but not the `version` of a server.
- `timer_type` ([Enum8](../../sql-reference/data-types/enum.md)) — Timer type:

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@ -6,7 +6,7 @@ toc_title: Encoding
# Encoding Functions {#encoding-functions}
## char {#char}
Returns the string with the length as the number of passed arguments and each byte has the value of corresponding argument. Accepts multiple arguments of numeric types. If the value of argument is out of range of UInt8 data type, it is converted to UInt8 with possible rounding and overflow.
**Syntax**

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@ -461,6 +461,66 @@ For other regular expressions, the code is the same as for the match funct
The same thing as like, but negative.
## ilike {#ilike}
Case insensitive variant of [like](https://clickhouse.tech/docs/en/sql-reference/functions/string-search-functions/#function-like) function. You can use `ILIKE` operator instead of the `ilike` function.
**Syntax**
``` sql
ilike(haystack, pattern)
```
**Parameters**
- `haystack` — Input string. [String](../../sql-reference/syntax.md#syntax-string-literal).
- `pattern` — If `pattern` doesn't contain percent signs or underscores, then the `pattern` only represents the string itself. An underscore (`_`) in `pattern` stands for (matches) any single character. A percent sign (`%`) matches any sequence of zero or more characters.
Some `pattern` examples:
``` text
'abc' ILIKE 'abc' true
'abc' ILIKE 'a%' true
'abc' ILIKE '_b_' true
'abc' ILIKE 'c' false
```
**Returned values**
- True, if the string matches `pattern`.
- False, if the string doesn't match `pattern`.
**Example**
Input table:
``` text
┌─id─┬─name─────┬─days─┐
│ 1 │ January │ 31 │
│ 2 │ February │ 29 │
│ 3 │ March │ 31 │
│ 4 │ April │ 30 │
└────┴──────────┴──────┘
```
Query:
``` sql
SELECT * FROM Months WHERE ilike(name, '%j%')
```
Result:
``` text
┌─id─┬─name────┬─days─┐
│ 1 │ January │ 31 │
└────┴─────────┴──────┘
```
**See Also**
- [like](https://clickhouse.tech/docs/en/sql-reference/functions/string-search-functions/#function-like) <!--hide-->
## ngramDistance(haystack, needle) {#ngramdistancehaystack-needle}
Calculates the 4-gram distance between `haystack` and `needle`: counts the symmetric difference between two multisets of 4-grams and normalizes it by the sum of their cardinalities. Returns float number from 0 to 1 the closer to zero, the more strings are similar to each other. If the constant `needle` or `haystack` is more than 32Kb, throws an exception. If some of the non-constant `haystack` or `needle` strings are more than 32Kb, the distance is always one.

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@ -61,6 +61,54 @@ SELECT toUUID('61f0c404-5cb3-11e7-907b-a6006ad3dba0') AS uuid
└──────────────────────────────────────┘
```
## toUUIDOrNull (x) {#touuidornull-x}
It takes an argument of type String and tries to parse it into UUID. If failed, returns NULL.
``` sql
toUUIDOrNull(String)
```
**Returned value**
The Nullable(UUID) type value.
**Usage example**
``` sql
SELECT toUUIDOrNull('61f0c404-5cb3-11e7-907b-a6006ad3dba0T') AS uuid
```
``` text
┌─uuid─┐
│ ᴺᵁᴸᴸ │
└──────┘
```
## toUUIDOrZero (x) {#touuidorzero-x}
It takes an argument of type String and tries to parse it into UUID. If failed, returns zero UUID.
``` sql
toUUIDOrZero(String)
```
**Returned value**
The UUID type value.
**Usage example**
``` sql
SELECT toUUIDOrZero('61f0c404-5cb3-11e7-907b-a6006ad3dba0T') AS uuid
```
``` text
┌─────────────────────────────────uuid─┐
│ 00000000-0000-0000-0000-000000000000 │
└──────────────────────────────────────┘
```
## UUIDStringToNum {#uuidstringtonum}
Accepts a string containing 36 characters in the format `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx`, and returns it as a set of bytes in a [FixedString(16)](../../sql-reference/data-types/fixedstring.md).

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@ -1,5 +1,5 @@
---
toc_priority: 37
toc_priority: 38
toc_title: Operators
---
@ -53,6 +53,8 @@ ClickHouse transforms operators to their corresponding functions at the query pa
`a NOT LIKE s` The `notLike(a, b)` function.
`a ILIKE s` The `ilike(a, b)` function.
`a BETWEEN b AND c` The same as `a >= b AND a <= c`.
`a NOT BETWEEN b AND c` The same as `a < b OR a > c`.

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@ -1,5 +1,5 @@
---
toc_priority: 36
toc_priority: 35
toc_title: ALTER
---

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@ -5,16 +5,16 @@ toc_title: SAMPLE BY
# Manipulating Sampling-Key Expressions {#manipulations-with-sampling-key-expressions}
Syntax:
``` sql
ALTER TABLE [db].name [ON CLUSTER cluster] MODIFY SAMPLE BY new_expression
```
The command changes the [sampling key](../../../engines/table-engines/mergetree-family/mergetree.md) of the table to `new_expression` (an expression or a tuple of expressions).
The command is lightweight in a sense that it only changes metadata. The primary key must contain the new sample key.
The command is lightweight in the sense that it only changes metadata. The primary key must contain the new sample key.
!!! note "Note"
It only works for tables in the [`MergeTree`](../../../engines/table-engines/mergetree-family/mergetree.md) family (including
[replicated](../../../engines/table-engines/mergetree-family/replication.md) tables).
It only works for tables in the [MergeTree](../../../engines/table-engines/mergetree-family/mergetree.md) family (including
[replicated](../../../engines/table-engines/mergetree-family/replication.md) tables).

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@ -1,5 +1,5 @@
---
toc_priority: 42
toc_priority: 40
toc_title: ATTACH
---

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@ -1,5 +1,5 @@
---
toc_priority: 43
toc_priority: 41
toc_title: CHECK
---

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@ -1,5 +1,5 @@
---
toc_priority: 1
toc_priority: 35
toc_title: DATABASE
---

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@ -1,5 +1,5 @@
---
toc_priority: 4
toc_priority: 38
toc_title: DICTIONARY
---

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@ -1,6 +1,6 @@
---
toc_folder_title: CREATE
toc_priority: 35
toc_priority: 34
toc_title: Overview
---

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@ -1,5 +1,5 @@
---
toc_priority: 8
toc_priority: 42
toc_title: QUOTA
---

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@ -1,5 +1,5 @@
---
toc_priority: 6
toc_priority: 40
toc_title: ROLE
---

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@ -1,5 +1,5 @@
---
toc_priority: 7
toc_priority: 41
toc_title: ROW POLICY
---

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@ -1,5 +1,5 @@
---
toc_priority: 9
toc_priority: 43
toc_title: SETTINGS PROFILE
---

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@ -1,5 +1,5 @@
---
toc_priority: 2
toc_priority: 36
toc_title: TABLE
---
@ -139,7 +139,7 @@ ENGINE = <Engine>
```
The `Default` codec can be specified to reference default compression which may dependend on different settings (and properties of data) in runtime.
Example: `value UInt64 CODEC(Default)` - the same as lack of codec specification.
Example: `value UInt64 CODEC(Default)` the same as lack of codec specification.
Also you can remove current CODEC from the column and use default compression from config.xml:

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@ -1,5 +1,5 @@
---
toc_priority: 5
toc_priority: 39
toc_title: USER
---

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@ -1,5 +1,5 @@
---
toc_priority: 3
toc_priority: 37
toc_title: VIEW
---

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@ -1,5 +1,5 @@
---
toc_priority: 44
toc_priority: 42
toc_title: DESCRIBE
---

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@ -1,5 +1,5 @@
---
toc_priority: 45
toc_priority: 43
toc_title: DETACH
---

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@ -1,88 +1,100 @@
---
toc_priority: 46
toc_priority: 44
toc_title: DROP
---
# DROP Statements {#drop}
Deletes existing entity. If `IF EXISTS` clause is specified, these queries doesnt return an error if the entity doesnt exist.
Deletes existing entity. If the `IF EXISTS` clause is specified, these queries dont return an error if the entity doesnt exist.
## DROP DATABASE {#drop-database}
Deletes all tables inside the `db` database, then deletes the `db` database itself.
Syntax:
``` sql
DROP DATABASE [IF EXISTS] db [ON CLUSTER cluster]
```
Deletes all tables inside the `db` database, then deletes the db database itself.
## DROP TABLE {#drop-table}
Deletes the table.
Syntax:
``` sql
DROP [TEMPORARY] TABLE [IF EXISTS] [db.]name [ON CLUSTER cluster]
```
Deletes the table.
## DROP DICTIONARY {#drop-dictionary}
Deletes the dictionary.
Syntax:
``` sql
DROP DICTIONARY [IF EXISTS] [db.]name
```
Deletes the dictionary.
## DROP USER {#drop-user-statement}
Deletes a user.
Syntax:
``` sql
DROP USER [IF EXISTS] name [,...] [ON CLUSTER cluster_name]
```
Deletes a user.
## DROP ROLE {#drop-role-statement}
Deletes a role. The deleted role is revoked from all the entities where it was assigned.
Syntax:
``` sql
DROP ROLE [IF EXISTS] name [,...] [ON CLUSTER cluster_name]
```
Deletes a role.
Deleted role is revoked from all the entities where it was assigned.
## DROP ROW POLICY {#drop-row-policy-statement}
Deletes a row policy. Deleted row policy is revoked from all the entities where it was assigned.
Syntax:
``` sql
DROP [ROW] POLICY [IF EXISTS] name [,...] ON [database.]table [,...] [ON CLUSTER cluster_name]
```
Deletes a row policy.
Deleted row policy is revoked from all the entities where it was assigned.
## DROP QUOTA {#drop-quota-statement}
Deletes a quota. The deleted quota is revoked from all the entities where it was assigned.
Syntax:
``` sql
DROP QUOTA [IF EXISTS] name [,...] [ON CLUSTER cluster_name]
```
Deletes a quota.
Deleted quota is revoked from all the entities where it was assigned.
## DROP SETTINGS PROFILE {#drop-settings-profile-statement}
Deletes a settings profile. The deleted settings profile is revoked from all the entities where it was assigned.
Syntax:
``` sql
DROP [SETTINGS] PROFILE [IF EXISTS] name [,...] [ON CLUSTER cluster_name]
```
Deletes a settings profile.
Deleted settings profile is revoked from all the entities where it was assigned.
## DROP VIEW {#drop-view}
Deletes a view. Views can be deleted by a `DROP TABLE` command as well but `DROP VIEW` checks that `[db.]name` is a view.
Syntax:
``` sql
DROP VIEW [IF EXISTS] [db.]name [ON CLUSTER cluster]
```
Deletes a view. Views can be deleted by a `DROP TABLE` command as well but `DROP VIEW` checks that `[db.]name` is a view.
[Оriginal article](https://clickhouse.tech/docs/en/sql-reference/statements/drop/) <!--hide-->

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---
toc_priority: 47
toc_priority: 45
toc_title: EXISTS
---

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@ -1,5 +1,5 @@
---
toc_priority: 39
toc_priority: 38
toc_title: GRANT
---

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@ -1,5 +1,5 @@
---
toc_priority: 34
toc_priority: 33
toc_title: INSERT INTO
---

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@ -1,5 +1,5 @@
---
toc_priority: 48
toc_priority: 46
toc_title: KILL
---

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@ -1,5 +1,5 @@
---
toc_priority: 49
toc_priority: 47
toc_title: OPTIMIZE
---

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@ -1,5 +1,5 @@
---
toc_priority: 50
toc_priority: 48
toc_title: RENAME
---

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@ -1,5 +1,5 @@
---
toc_priority: 40
toc_priority: 39
toc_title: REVOKE
---

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@ -1,7 +1,7 @@
---
title: SELECT Query
toc_folder_title: SELECT
toc_priority: 33
toc_priority: 32
toc_title: Overview
---

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@ -1,5 +1,5 @@
---
toc_priority: 52
toc_priority: 51
toc_title: SET ROLE
---

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@ -1,5 +1,5 @@
---
toc_priority: 51
toc_priority: 49
toc_title: SET
---

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@ -1,5 +1,5 @@
---
toc_priority: 38
toc_priority: 37
toc_title: SHOW
---
@ -15,12 +15,83 @@ Returns a single `String`-type statement column, which contains a single v
## SHOW DATABASES {#show-databases}
``` sql
SHOW DATABASES [INTO OUTFILE filename] [FORMAT format]
Prints a list of all databases.
```sql
SHOW DATABASES [LIKE | ILIKE | NOT LIKE '<pattern>'] [LIMIT <N>] [INTO OUTFILE filename] [FORMAT format]
```
Prints a list of all databases.
This query is identical to `SELECT name FROM system.databases [INTO OUTFILE filename] [FORMAT format]`.
This statement is identical to the query:
```sql
SELECT name FROM system.databases [WHERE name LIKE | ILIKE | NOT LIKE '<pattern>'] [LIMIT <N>] [INTO OUTFILE filename] [FORMAT format]
```
### Examples {#examples}
Getting database names, containing the symbols sequence 'de' in their names:
``` sql
SHOW DATABASES LIKE '%de%'
```
Result:
``` text
┌─name────┐
│ default │
└─────────┘
```
Getting database names, containing symbols sequence 'de' in their names, in the case insensitive manner:
``` sql
SHOW DATABASES ILIKE '%DE%'
```
Result:
``` text
┌─name────┐
│ default │
└─────────┘
```
Getting database names, not containing the symbols sequence 'de' in their names:
``` sql
SHOW DATABASES NOT LIKE '%de%'
```
Result:
``` text
┌─name───────────────────────────┐
│ _temporary_and_external_tables │
│ system │
│ test │
│ tutorial │
└────────────────────────────────┘
```
Getting the first two rows from database names:
``` sql
SHOW DATABASES LIMIT 2
```
Result:
``` text
┌─name───────────────────────────┐
│ _temporary_and_external_tables │
│ default │
└────────────────────────────────┘
```
### See Also {#see-also}
- [CREATE DATABASE](https://clickhouse.tech/docs/en/sql-reference/statements/create/database/#query-language-create-database)
## SHOW PROCESSLIST {#show-processlist}
@ -42,33 +113,86 @@ $ watch -n1 "clickhouse-client --query='SHOW PROCESSLIST'"
Displays a list of tables.
``` sql
SHOW [TEMPORARY] TABLES [{FROM | IN} <db>] [LIKE '<pattern>' | WHERE expr] [LIMIT <N>] [INTO OUTFILE <filename>] [FORMAT <format>]
```sql
SHOW [TEMPORARY] TABLES [{FROM | IN} <db>] [LIKE | ILIKE | NOT LIKE '<pattern>'] [LIMIT <N>] [INTO OUTFILE <filename>] [FORMAT <format>]
```
If the `FROM` clause is not specified, the query returns the list of tables from the current database.
You can get the same results as the `SHOW TABLES` query in the following way:
This statement is identical to the query:
``` sql
SELECT name FROM system.tables WHERE database = <db> [AND name LIKE <pattern>] [LIMIT <N>] [INTO OUTFILE <filename>] [FORMAT <format>]
```sql
SELECT name FROM system.tables [WHERE name LIKE | ILIKE | NOT LIKE '<pattern>'] [LIMIT <N>] [INTO OUTFILE <filename>] [FORMAT <format>]
```
**Example**
### Examples {#examples}
The following query selects the first two rows from the list of tables in the `system` database, whose names contain `co`.
Getting table names, containing the symbols sequence 'user' in their names:
``` sql
SHOW TABLES FROM system LIKE '%co%' LIMIT 2
SHOW TABLES FROM system LIKE '%user%'
```
Result:
``` text
┌─name─────────────┐
│ user_directories │
│ users │
└──────────────────┘
```
Getting table names, containing sequence 'user' in their names, in the case insensitive manner:
``` sql
SHOW TABLES FROM system ILIKE '%USER%'
```
Result:
``` text
┌─name─────────────┐
│ user_directories │
│ users │
└──────────────────┘
```
Getting table names, not containing the symbol sequence 's' in their names:
``` sql
SHOW TABLES FROM system NOT LIKE '%s%'
```
Result:
``` text
┌─name─────────┐
│ metric_log │
│ metric_log_0 │
│ metric_log_1 │
└──────────────┘
```
Getting the first two rows from table names:
``` sql
SHOW TABLES FROM system LIMIT 2
```
Result:
``` text
┌─name───────────────────────────┐
│ aggregate_function_combinators │
│ collations │
asynchronous_metric_log
└────────────────────────────────┘
```
### See Also {#see-also}
- [Create Tables](https://clickhouse.tech/docs/en/getting-started/tutorial/#create-tables)
- [SHOW CREATE TABLE](https://clickhouse.tech/docs/en/sql-reference/statements/show/#show-create-table)
## SHOW DICTIONARIES {#show-dictionaries}
Displays a list of [external dictionaries](../../sql-reference/dictionaries/external-dictionaries/external-dicts.md).

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---
toc_priority: 37
toc_priority: 36
toc_title: SYSTEM
---

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---
toc_priority: 53
toc_priority: 52
toc_title: TRUNCATE
---

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---
toc_priority: 54
toc_priority: 53
toc_title: USE
---

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@ -87,7 +87,7 @@ In string literals, you need to escape at least `'` and `\`. Single quotes can b
### Compound {#compound}
Arrays are constructed with square brackets `[1, 2, 3]`. Nuples are constructed with round brackets `(1, 'Hello, world!', 2)`.
Arrays are constructed with square brackets `[1, 2, 3]`. Tuples are constructed with round brackets `(1, 'Hello, world!', 2)`.
Technically these are not literals, but expressions with the array creation operator and the tuple creation operator, respectively.
An array must consist of at least one item, and a tuple must have at least two items.
Theres a separate case when tuples appear in the `IN` clause of a `SELECT` query. Query results can include tuples, but tuples cant be saved to a database (except of tables with [Memory](../engines/table-engines/special/memory.md) engine).

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@ -0,0 +1,67 @@
---
toc_priority: 51
toc_title: view
---
## view {#view}
Turns a subquery into a table. The function implements views (see [CREATE VIEW](https://clickhouse.tech/docs/en/sql-reference/statements/create/view/#create-view)). The resulting table doesn't store data, but only stores the specified `SELECT` query. When reading from the table, ClickHouse executes the query and deletes all unnecessary columns from the result.
**Syntax**
``` sql
view(subquery)
```
**Parameters**
- `subquery``SELECT` query.
**Returned value**
- A table.
**Example**
Input table:
``` text
┌─id─┬─name─────┬─days─┐
│ 1 │ January │ 31 │
│ 2 │ February │ 29 │
│ 3 │ March │ 31 │
│ 4 │ April │ 30 │
└────┴──────────┴──────┘
```
Query:
``` sql
SELECT * FROM view(SELECT name FROM months)
```
Result:
``` text
┌─name─────┐
│ January │
│ February │
│ March │
│ April │
└──────────┘
```
You can use the `view` function as a parameter of the [remote](https://clickhouse.tech/docs/en/sql-reference/table-functions/remote/#remote-remotesecure) and [cluster](https://clickhouse.tech/docs/en/sql-reference/table-functions/cluster/#cluster-clusterallreplicas) table functions:
``` sql
SELECT * FROM remote(`127.0.0.1`, view(SELECT a, b, c FROM table_name))
```
``` sql
SELECT * FROM cluster(`cluster_name`, view(SELECT a, b, c FROM table_name))
```
**See Also**
- [View Table Engine](https://clickhouse.tech/docs/en/engines/table-engines/special/view/)
[Original article](https://clickhouse.tech/docs/en/query_language/table_functions/view/) <!--hide-->

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toc_priority: 1
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# Поставщики облачных услуг ClickHouse {#clickhouse-cloud-service-providers}
!!! info "Инфо"

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# Обзор архитектуры ClickHouse {#overview-of-clickhouse-architecture}
ClickHouse - полноценная колоночная СУБД. Данные хранятся в колонках, а в процессе обработки - в массивах (векторах или фрагментах (chunkах) колонок). По возможности операции выполняются на массивах, а не на индивидуальных значениях. Это называется “векторизованное выполнения запросов” (vectorized query execution), и помогает снизить стоимость фактической обработки данных.

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# Навигация по коду ClickHouse {#navigatsiia-po-kodu-clickhouse}
Для навигации по коду онлайн доступен **Woboq**, он расположен [здесь](https://clickhouse.tech/codebrowser/html_report///ClickHouse/src/index.html). В нём реализовано удобное перемещение между исходными файлами, семантическая подсветка, подсказки, индексация и поиск. Слепок кода обновляется ежедневно.

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# Используемые сторонние библиотеки {#ispolzuemye-storonnie-biblioteki}
| Библиотека | Лицензия |

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# Инструкция для разработчиков
Сборка ClickHouse поддерживается на Linux, FreeBSD, Mac OS X.

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# Как писать код на C++ {#kak-pisat-kod-na-c}
## Общее {#obshchee}

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# Движки баз данных {#dvizhki-baz-dannykh}
Движки баз данных обеспечивают работу с таблицами.

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# Lazy {#lazy}
Сохраняет таблицы только в оперативной памяти `expiration_time_in_seconds` через несколько секунд после последнего доступа. Может использоваться только с таблицами \*Log.

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toc_title: MySQL
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# MySQL {#mysql}
Позволяет подключаться к базам данных на удалённом MySQL сервере и выполнять запросы `INSERT` и `SELECT` для обмена данными между ClickHouse и MySQL.

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