Wilt u leren hoe u een Zabbix-databasepartitionering uitvoert? In deze zelfstudie laten we u zien hoe u de Zabbix MySQL-database partitioneert op een computer waarop Ubuntu Linux draait.

• Zabbix-versie: 4.0.5
• Linux: Ubuntu 18.04
• MySQL: Ver 14.14 Distrib 5.7.25

Onze tutorial beschouwt een gloednieuwe Zabbix-installatie.

Hardware Lijst:

In het volgende gedeelte wordt de lijst met apparaten weergegeven die zijn gebruikt om deze Zabbix-zelfstudie te maken.

Elk onderdeel van de hierboven genoemde hardware is te vinden op de Amazon-website.

Zabbix Playlist:

Op deze pagina bieden we snelle toegang tot een lijst met video’s gerelateerd aan Zabbix-installatie.

Vergeet niet je te abonneren op ons YouTube-kanaal met de naam FKIT.

Zabbix Gerelateerde Tutorial:

Op deze pagina bieden we snelle toegang tot een lijst met handleidingen met betrekking tot Zabbix-installatie.

Tutorial – Zabbix Database Partitioneren

Gebruik de volgende opdracht om de vereiste software te installeren.

# apt-get update
# apt-get install perl libdbi-perl libdatetime-perl libdbd-mysql-perl

We moeten de volgende tabellen uit de Zabbix-database partitioneren:

• history
• history_log
• history_str
• history_text
• history_uint
• trends
• trends_uint

Uw Zabbix-server heeft waarschijnlijk al informatie uit monitoring binnen zijn database.

Open de MySQL-console en verifieer de oudste ingangsdatum van de Zabbix voor de 7 hierboven genoemde tabellen:

# mysql -u root -p

use zabbix;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_log`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_str`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_text`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_uint`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `trends`;
SELECT FROM_UNIXTIME(MIN(clock)) FROM `trends_uint`;

Voor elk van deze MySQL-opdrachten moet de uitvoer iets gelijkaardigs zijn als dit:

+—————————————+
| FROM_UNIXTIME(MIN(clock)) |
+—————————————+
| 2019-03-22 17:48:07                       |
+—————————————+
1 row in set (0.00 sec)

Belangrijk! Noteer de datum die voor elk van de tabellen wordt weergegeven.

Laten we nu elk van de geschiedenistabellen op datum verdelen:

Laten we eerst de tabel Historie partitioneren.

# mysql -u root -p
# use zabbix;

ALTER TABLE `history` PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-03-23 00:00:00”)) ENGINE = InnoDB);

In ons voorbeeld heeft een bestand met de naam p2019_03_22 alle MySQL-informatie vóór 2019-03-23.

Als uw streefdatum 2019-03-22 is, moet u alles vóór 2019-03-23 invoeren.

Ten tweede, laten we de history_log-tabel partitioneren.

ALTER TABLE `history_log` PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-03-23 00:00:00”)) ENGINE = InnoDB);

Ten derde, laten we de history_str-tabel partitioneren.

ALTER TABLE `history_str` PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-03-23 00:00:00”)) ENGINE = InnoDB);

Ten vierde, laten we de tabel met history_text partitioneren.

ALTER TABLE `history_text` PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-03-23 00:00:00”)) ENGINE = InnoDB);

Ten vijfde, laten we de tabel history_uint partitioneren.

ALTER TABLE `history_uint` PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-03-23 00:00:00”)) ENGINE = InnoDB);

Laten we nu elk van de Trends-tabel per maand partitioneren:

Laten we eerst de tabel Trends partitioneren.

ALTER TABLE `trends` PARTITION BY RANGE ( clock)
(PARTITION p2019_03 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-04-01 00:00:00”)) ENGINE = InnoDB);

In ons voorbeeld heeft een bestand met de naam p2019_03 alle MySQL-informatie vóór 2019-04-01.

Als uw streefdatum 2019-03 is, moet u alles vóór 2019-04-01 invoeren.

Ten tweede, laten we de tabel trends_uint partitioneren.

ALTER TABLE `trends_uint` PARTITION BY RANGE ( clock)
(PARTITION p2019_03 VALUES LESS THAN (UNIX_TIMESTAMP(“2019-04-01 00:00:00”)) ENGINE = InnoDB);

Zabbix-database Partities zijn succesvol gemaakt.

Tutorial – Zabbix Database Partitioning Script

We gaan een Perl-script gebruiken om de volgende taken uit te voeren:

Maak van tevoren een 10-daagse MySQL-databasepartitie om te voorkomen dat de service stopt.

Verwijder oudere MySQL-partities die niet meer nodig zijn.

# mkdir /downloads/zabbix_script
# cd /downloads/zabbix_script
# vi zabbix_partition_creator.pl

Hier is de inhoud van het script zabbix_partition_creator.pl:

use strict;
use Data::Dumper;
use DBI;
use Sys::Syslog qw(:standard :macros);
use DateTime;
use POSIX qw(strftime);
openlog(“mysql_zbx_part”, “ndelay,pid”, LOG_LOCAL0);
my $db_schema = ‘zabbix’;
my $dsn = ‘DBI:mysql:’.$db_schema.’:mysql_socket=/var/run/mysqld/mysqld.sock’;
my $db_user_name = ‘zabbix’;
my $db_password = ‘kamisama123’;
my $tables = { ‘history’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_log’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_str’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_text’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_uint’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
’trends’ => { ‘period’ => ‘month’, ‘keep_history’ => ‘2’},
’trends_uint’ => { ‘period’ => ‘month’, ‘keep_history’ => ‘2’},
};
my $amount_partitions = 10;
my $curr_tz = ‘America/Sao_Paulo’;
my $part_tables;
my $dbh = DBI->connect($dsn, $db_user_name, $db_password, {‘ShowErrorStatement’ => 1});
my $sth = $dbh->prepare(qq{SELECT table_name, partition_name, lower(partition_method) as partition_method,
rtrim(ltrim(partition_expression)) as partition_expression,
partition_description, table_rows
FROM information_schema.partitions
WHERE partition_name IS NOT NULL AND table_schema = ?});
$sth->execute($db_schema);
while (my $row = $sth->fetchrow_hashref()) {
$part_tables->{$row->{’table_name’}}->{$row->{‘partition_name’}} = $row;
}
$sth->finish();
foreach my $key (sort keys %{$tables}) {
unless (defined($part_tables->{$key})) {
syslog(LOG_ERR, ‘Partitioning for “‘.$key.'” is not found! The table might be not partitioned.’);
next;
}
create_next_partition($key, $part_tables->{$key}, $tables->{$key}->{‘period’});
remove_old_partitions($key, $part_tables->{$key}, $tables->{$key}->{‘period’}, $tables->{$key}->{‘keep_history’})
}
delete_old_data();
$dbh->disconnect();
sub create_next_partition {
my $table_name = shift;
my $table_part = shift;
my $period = shift;
for (my $curr_part = 0; $curr_part < $amount_partitions; $curr_part++) {
my $next_name = name_next_part($tables->{$table_name}->{‘period’}, $curr_part);
my $found = 0;
foreach my $partition (sort keys %{$table_part}) {
if ($next_name eq $partition) {
syslog(LOG_INFO, “Next partition for $table_name table has already been created. It is $next_name”);
$found = 1;
}
}
if ( $found == 0 ) {
syslog(LOG_INFO, “Creating a partition for $table_name table ($next_name)”);
my $query = ‘ALTER TABLE ‘.”$db_schema.$table_name”.’ ADD PARTITION (PARTITION ‘.$next_name.
‘ VALUES less than (UNIX_TIMESTAMP(“‘.date_next_part($tables->{$table_name}->{‘period’}, $curr_part).'”) div 1))’;
syslog(LOG_DEBUG, $query);
$dbh->do($query);
}
}
}
sub remove_old_partitions {
my $table_name = shift;
my $table_part = shift;
my $period = shift;
my $keep_history = shift;
my $curr_date = DateTime->now;
$curr_date->set_time_zone( $curr_tz );
if ( $period eq ‘day’ ) {
$curr_date->add(days => -$keep_history);
$curr_date->add(hours => -$curr_date->strftime(‘%H’));
$curr_date->add(minutes => -$curr_date->strftime(‘%M’));
$curr_date->add(seconds => -$curr_date->strftime(‘%S’));
}
elsif ( $period eq ‘week’ ) {
}
elsif ( $period eq ‘month’ ) {
$curr_date->add(months => -$keep_history);
$curr_date->add(days => -$curr_date->strftime(‘%d’)+1);
$curr_date->add(hours => -$curr_date->strftime(‘%H’));
$curr_date->add(minutes => -$curr_date->strftime(‘%M’));
$curr_date->add(seconds => -$curr_date->strftime(‘%S’));
}
foreach my $partition (sort keys %{$table_part}) {
if ($table_part->{$partition}->{‘partition_description’} <= $curr_date->epoch) {
syslog(LOG_INFO, “Removing old $partition partition from $table_name table”);
my $query = “ALTER TABLE $db_schema.$table_name DROP PARTITION $partition”;
syslog(LOG_DEBUG, $query);
$dbh->do($query);
}
}
}
sub name_next_part {
my $period = shift;
my $curr_part = shift;
my $name_template;
my $curr_date = DateTime->now;
$curr_date->set_time_zone( $curr_tz );
if ( $period eq ‘day’ ) {
my $curr_date = $curr_date->truncate( to => ‘day’ );
$curr_date->add(days => 1 + $curr_part);
$name_template = $curr_date->strftime(‘p%Y_%m_%d’);
}
elsif ($period eq ‘week’) {
my $curr_date = $curr_date->truncate( to => ‘week’ );
$curr_date->add(days => 7 * $curr_part);
$name_template = $curr_date->strftime(‘p%Y_%m_w%W’);
}
elsif ($period eq ‘month’) {
my $curr_date = $curr_date->truncate( to => ‘month’ );
$curr_date->add(months => 1 + $curr_part);
$name_template = $curr_date->strftime(‘p%Y_%m’);
}
return $name_template;
}
sub date_next_part {
my $period = shift;
my $curr_part = shift;
my $period_date;
my $curr_date = DateTime->now;
$curr_date->set_time_zone( $curr_tz );
if ( $period eq ‘day’ ) {
my $curr_date = $curr_date->truncate( to => ‘day’ );
$curr_date->add(days => 2 + $curr_part);
$period_date = $curr_date->strftime(‘%Y-%m-%d’);
}
elsif ($period eq ‘week’) {
my $curr_date = $curr_date->truncate( to => ‘week’ );
$curr_date->add(days => 7 * $curr_part + 1);
$period_date = $curr_date->strftime(‘%Y-%m-%d’);
}
elsif ($period eq ‘month’) {
my $curr_date = $curr_date->truncate( to => ‘month’ );
$curr_date->add(months => 2 + $curr_part);
$period_date = $curr_date->strftime(‘%Y-%m-%d’);
}
return $period_date;
}
sub delete_old_data {
$dbh->do(“DELETE FROM sessions WHERE lastaccess < UNIX_TIMESTAMP(NOW() – INTERVAL 1 MONTH)”);
$dbh->do(“TRUNCATE housekeeper”);
$dbh->do(“DELETE FROM auditlog_details WHERE NOT EXISTS (SELECT NULL FROM auditlog WHERE auditlog.auditid = auditlog_details.auditid)”);
}

U moet de volgende delen van het script aanpassen aan uw MySQL-omgeving.

my $db_schema = ‘zabbix’;
my $dsn = ‘DBI:mysql:’.$db_schema.’:mysql_socket=/var/run/mysqld/mysqld.sock’;
my $db_user_name = ‘zabbix’;
my $db_password = ‘kamisama123’;
my $tables = { ‘history’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_log’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_str’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_text’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
‘history_uint’ => { ‘period’ => ‘day’, ‘keep_history’ => ’30’},
’trends’ => { ‘period’ => ‘month’, ‘keep_history’ => ‘2’},
’trends_uint’ => { ‘period’ => ‘month’, ‘keep_history’ => ‘2’},
};
my $amount_partitions = 10;
my $curr_tz = ‘America/Sao_Paulo’;

In ons voorbeeld gebruiken we de zabbix MySQL-gebruikersnaam en kamisama123 MySQL-wachtwoord.

In ons voorbeeld houden we 30 dagen aan geschiedenistabelleninhoud.

In ons voorbeeld houden we 2 maanden aan inhoudstabellen-inhoud.

In ons voorbeeld stellen we de tijdzone tijdzone van Amerika / Sao_Paulo in.

Nu moet u het script zonder fouten handmatig uitvoeren.

# cd /downloads/zabbix_script
# chmod 700 zabbix_partition_creator.pl
# ./zabbix_partition_creator.pl

Open de MySQL-console en controleer of het systeem tien dagen van de historische partitie van tevoren heeft gemaakt.

# mysql -u root -p

use zabbix;
show create table history;

/*!50100 PARTITION BY RANGE ( clock)
(PARTITION p2019_03_22 VALUES LESS THAN (1553310000) ENGINE = InnoDB,
PARTITION p2019_03_23 VALUES LESS THAN (1553396400) ENGINE = InnoDB,
PARTITION p2019_03_24 VALUES LESS THAN (1553482800) ENGINE = InnoDB,
PARTITION p2019_03_25 VALUES LESS THAN (1553569200) ENGINE = InnoDB,
PARTITION p2019_03_26 VALUES LESS THAN (1553655600) ENGINE = InnoDB,
PARTITION p2019_03_27 VALUES LESS THAN (1553742000) ENGINE = InnoDB,
PARTITION p2019_03_28 VALUES LESS THAN (1553828400) ENGINE = InnoDB,
PARTITION p2019_03_29 VALUES LESS THAN (1553914800) ENGINE = InnoDB,
PARTITION p2019_03_30 VALUES LESS THAN (1554001200) ENGINE = InnoDB,
PARTITION p2019_03_31 VALUES LESS THAN (1554087600) ENGINE = InnoDB,
PARTITION p2019_04_01 VALUES LESS THAN (1554174000) ENGINE = InnoDB) */

Ga naar de MySQL-console en controleer of het systeem 10 maanden durende trendverdeling heeft gemaakt.

# mysql -u root -p

use zabbix;
show create table trends;

/*!50100 PARTITION BY RANGE ( clock)
(PARTITION p2019_03 VALUES LESS THAN (1554087600) ENGINE = InnoDB,
PARTITION p2019_04 VALUES LESS THAN (1556679600) ENGINE = InnoDB,
PARTITION p2019_05 VALUES LESS THAN (1559358000) ENGINE = InnoDB,
PARTITION p2019_06 VALUES LESS THAN (1561950000) ENGINE = InnoDB,
PARTITION p2019_07 VALUES LESS THAN (1564628400) ENGINE = InnoDB,
PARTITION p2019_08 VALUES LESS THAN (1567306800) ENGINE = InnoDB,
PARTITION p2019_09 VALUES LESS THAN (1569898800) ENGINE = InnoDB,
PARTITION p2019_10 VALUES LESS THAN (1572577200) ENGINE = InnoDB,
PARTITION p2019_11 VALUES LESS THAN (1575165600) ENGINE = InnoDB,
PARTITION p2019_12 VALUES LESS THAN (1577844000) ENGINE = InnoDB,
PARTITION p2020_01 VALUES LESS THAN (1580522400) ENGINE = InnoDB) */ |

Laten we nu plannen dat het Perl-script dagelijks wordt uitgevoerd.

# crontab -e

1  0  *  *  * /downloads/scripts/zabbix_partition_creator.pl

Gefeliciteerd! U hebt de Zabbix MySQL-databasetabellen gepartitioneerd.