Вопрос: Почему производительность MySQL снижается для запросов, соединяющих почти пустые таблицы при параллельном выполнении?
Ниже приводится более подробное объяснение проблемы, с которой я столкнулся. У меня есть две таблицы в MySQL
CREATE TABLE first (
num int(10) NOT NULL,
UNIQUE KEY key_num (num)
) ENGINE=InnoDB
CREATE TABLE second (
num int(10) NOT NULL,
num2 int(10) NOT NULL,
UNIQUE KEY key_num (num, num2)
) ENGINE=InnoDB
. Первая содержит около тысячи записей. Второй пуст или содержит очень мало записей. Он также содержит двойной индекс, который каким-то образом относится к проблеме: проблема исчезает для одиночного индекса. Теперь я пытаюсь сделать много одинаковых запросов к этим таблицам параллельно. Каждый запрос выглядит следующим образом:
SELECT first.num
FROM first
LEFT JOIN second AS second_1 ON second_1.num = -1 # non-existent key
LEFT JOIN second AS second_2 ON second_2.num = -2 # non-existent key
LEFT JOIN second AS second_3 ON second_3.num = -3 # non-existent key
LEFT JOIN second AS second_4 ON second_4.num = -4 # non-existent key
LEFT JOIN second AS second_5 ON second_5.num = -5 # non-existent key
LEFT JOIN second AS second_6 ON second_6.num = -6 # non-existent key
WHERE second_1.num IS NULL
AND second_2.num IS NULL
AND second_3.num IS NULL
AND second_4.num IS NULL
AND second_5.num IS NULL
AND second_6.num IS NULL
Проблема, с которой я сталкиваюсь, заключается в том, что вместо почти линейного роста производительности на 8-ядерной машине я фактически падаю. А именно, имея один процесс, типичное количество запросов в секунду у меня составляет около 200. Имея два процесса вместо ожидаемого увеличения до 300 - 400 запросов в секунду, я фактически падаю до 150. Для 10 процессов у меня есть только 70 запросов в секунду. Код Perl, который я использую для тестирования, показан ниже:
#!/usr/bin/perl
use strict;
use warnings;
use DBI;
use Parallel::Benchmark;
use SQL::Abstract;
use SQL::Abstract::Plugin::InsertMulti;
my $children_dbh;
foreach my $second_table_row_count (0, 1, 1000) {
print '#' x 80, "\nsecond_table_row_count = $second_table_row_count\n";
create_and_fill_tables(1000, $second_table_row_count);
foreach my $concurrency (1, 2, 3, 4, 6, 8, 10, 20) {
my $bm = Parallel::Benchmark->new(
'benchmark' => sub {
_run_sql();
return 1;
},
'concurrency' => $concurrency,
'time' => 3,
);
my $result = $bm->run();
}
}
sub create_and_fill_tables {
my ($first_table_row_count, $second_table_row_count) = @_;
my $dbh = dbi_connect();
{
$dbh->do(q{DROP TABLE IF EXISTS first});
$dbh->do(q{
CREATE TABLE first (
num int(10) NOT NULL,
UNIQUE KEY key_num (num)
) ENGINE=InnoDB
});
if ($first_table_row_count) {
my ($stmt, @bind) = SQL::Abstract->new()->insert_multi(
'first',
['num'],
[map {[$_]} 1 .. $first_table_row_count],
);
$dbh->do($stmt, undef, @bind);
}
}
{
$dbh->do(q{DROP TABLE IF EXISTS second});
$dbh->do(q{
CREATE TABLE second (
num int(10) NOT NULL,
num2 int(10) NOT NULL,
UNIQUE KEY key_num (num, num2)
) ENGINE=InnoDB
});
if ($second_table_row_count) {
my ($stmt, @bind) = SQL::Abstract->new()->insert_multi(
'second',
['num'],
[map {[$_]} 1 .. $second_table_row_count],
);
$dbh->do($stmt, undef, @bind);
}
}
}
sub _run_sql {
$children_dbh ||= dbi_connect();
$children_dbh->selectall_arrayref(q{
SELECT first.num
FROM first
LEFT JOIN second AS second_1 ON second_1.num = -1
LEFT JOIN second AS second_2 ON second_2.num = -2
LEFT JOIN second AS second_3 ON second_3.num = -3
LEFT JOIN second AS second_4 ON second_4.num = -4
LEFT JOIN second AS second_5 ON second_5.num = -5
LEFT JOIN second AS second_6 ON second_6.num = -6
WHERE second_1.num IS NULL
AND second_2.num IS NULL
AND second_3.num IS NULL
AND second_4.num IS NULL
AND second_5.num IS NULL
AND second_6.num IS NULL
});
}
sub dbi_connect {
return DBI->connect(
'dbi:mysql:'
. 'database=tmp'
. ';host=localhost'
. ';port=3306',
'root',
'',
);
}
И для запросов сравнения, подобных этому, выполняемых одновременно с повышением производительности:
SELECT first.num
FROM first
LEFT JOIN second AS second_1 ON second_1.num = 1 # existent key
LEFT JOIN second AS second_2 ON second_2.num = 2 # existent key
LEFT JOIN second AS second_3 ON second_3.num = 3 # existent key
LEFT JOIN second AS second_4 ON second_4.num = 4 # existent key
LEFT JOIN second AS second_5 ON second_5.num = 5 # existent key
LEFT JOIN second AS second_6 ON second_6.num = 6 # existent key
WHERE second_1.num IS NOT NULL
AND second_2.num IS NOT NULL
AND second_3.num IS NOT NULL
AND second_4.num IS NOT NULL
AND second_5.num IS NOT NULL
AND second_6.num IS NOT NULL
Результаты тестирования, измерения использования процессора и диска приведены здесь:
* table `first` have 1000 rows * table `second` have 6 rows: `[1,1],[2,2],..[6,6]` For query: SELECT first.num FROM first LEFT JOIN second AS second_1 ON second_1.num = -1 # non-existent key LEFT JOIN second AS second_2 ON second_2.num = -2 # non-existent key LEFT JOIN second AS second_3 ON second_3.num = -3 # non-existent key LEFT JOIN second AS second_4 ON second_4.num = -4 # non-existent key LEFT JOIN second AS second_5 ON second_5.num = -5 # non-existent key LEFT JOIN second AS second_6 ON second_6.num = -6 # non-existent key WHERE second_1.num IS NULL AND second_2.num IS NULL AND second_3.num IS NULL AND second_4.num IS NULL AND second_5.num IS NULL AND second_6.num IS NULL Results: concurrency: 1, speed: 162.910 / sec concurrency: 2, speed: 137.818 / sec concurrency: 3, speed: 130.728 / sec concurrency: 4, speed: 107.387 / sec concurrency: 6, speed: 90.513 / sec concurrency: 8, speed: 80.445 / sec concurrency: 10, speed: 80.381 / sec concurrency: 20, speed: 84.069 / sec System usage after for last 60 minutes of running query in 6 processes: $ iostat -cdkx 60 avg-cpu: %user %nice %system %iowait %steal %idle 74.82 0.00 0.08 0.00 0.08 25.02 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda1 0.00 0.00 0.00 0.12 0.00 0.80 13.71 0.00 1.43 1.43 0.02 sdf10 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf4 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 30.00 15.00 0.05 sdm 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf8 0.00 0.00 0.00 0.37 0.00 1.24 6.77 0.00 5.00 3.18 0.12 sdf6 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf9 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 0.00 0.00 0.00 sdf 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf3 0.00 0.00 0.00 0.08 0.00 1.33 32.00 0.00 4.00 4.00 0.03 sdf2 0.00 0.00 0.00 0.17 0.00 1.37 16.50 0.00 3.00 3.00 0.05 sdf15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf1 0.00 0.00 0.00 0.05 0.00 0.40 16.00 0.00 0.00 0.00 0.00 sdf13 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf5 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 50.00 25.00 0.08 sdm2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdm1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf12 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf11 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf7 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 md0 0.00 0.00 0.00 0.97 0.00 13.95 28.86 0.00 0.00 0.00 0.00 ################################################################################ For query: SELECT first.num FROM first LEFT JOIN second AS second_1 ON second_1.num = 1 # existent key LEFT JOIN second AS second_2 ON second_2.num = 2 # existent key LEFT JOIN second AS second_3 ON second_3.num = 3 # existent key LEFT JOIN second AS second_4 ON second_4.num = 4 # existent key LEFT JOIN second AS second_5 ON second_5.num = 5 # existent key LEFT JOIN second AS second_6 ON second_6.num = 6 # existent key WHERE second_1.num IS NOT NULL AND second_2.num IS NOT NULL AND second_3.num IS NOT NULL AND second_4.num IS NOT NULL AND second_5.num IS NOT NULL AND second_6.num IS NOT NULL Results: concurrency: 1, speed: 875.973 / sec concurrency: 2, speed: 944.986 / sec concurrency: 3, speed: 1256.072 / sec concurrency: 4, speed: 1401.657 / sec concurrency: 6, speed: 1354.351 / sec concurrency: 8, speed: 1110.100 / sec concurrency: 10, speed: 1145.251 / sec concurrency: 20, speed: 1142.514 / sec System usage after for last 60 minutes of running query in 6 processes: $ iostat -cdkx 60 avg-cpu: %user %nice %system %iowait %steal %idle 74.40 0.00 0.53 0.00 0.06 25.01 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda1 0.00 0.00 0.00 0.02 0.00 0.13 16.00 0.00 0.00 0.00 0.00 sdf10 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf4 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdm 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf8 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf6 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 0.00 0.00 0.00 sdf9 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdf 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf3 0.00 0.00 0.00 0.13 0.00 2.67 40.00 0.00 3.75 2.50 0.03 sdf2 0.00 0.00 0.00 0.23 0.00 2.72 23.29 0.00 2.14 1.43 0.03 sdf15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf14 0.00 0.00 0.00 0.98 0.00 0.54 1.10 0.00 2.71 2.71 0.27 sdf1 0.00 0.00 0.00 0.08 0.00 1.47 35.20 0.00 8.00 6.00 0.05 sdf13 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf5 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 sdm2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdm1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf12 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdf11 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 0.00 0.00 0.00 sdf7 0.00 0.00 0.00 0.03 0.00 1.07 64.00 0.00 10.00 5.00 0.02 md0 0.00 0.00 0.00 1.70 0.00 15.92 18.74 0.00 0.00 0.00 0.00 ################################################################################ And this server has lots of free memory. Example of top: top - 19:02:59 up 4:23, 4 users, load average: 4.43, 3.03, 2.01 Tasks: 218 total, 1 running, 217 sleeping, 0 stopped, 0 zombie Cpu(s): 72.8%us, 0.7%sy, 0.0%ni, 26.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.1%st Mem: 71701416k total, 22183980k used, 49517436k free, 284k buffers Swap: 0k total, 0k used, 0k free, 1282768k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2506 mysql 20 0 51.7g 17g 5920 S 590 25.8 213:15.12 mysqld 9348 topadver 20 0 72256 11m 1428 S 2 0.0 0:01.45 perl 9349 topadver 20 0 72256 11m 1428 S 2 0.0 0:01.44 perl 9350 topadver 20 0 72256 11m 1428 S 2 0.0 0:01.45 perl 9351 topadver 20 0 72256 11m 1428 S 1 0.0 0:01.44 perl 9352 topadver 20 0 72256 11m 1428 S 1 0.0 0:01.44 perl 9353 topadver 20 0 72256 11m 1428 S 1 0.0 0:01.44 perl 9346 topadver 20 0 19340 1504 1064 R 0 0.0 0:01.89 top
У кого-нибудь есть идея, почему производительность снизилась для запроса с несуществующими ключами?