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When MySQL Lies: The Truth About Slave Lag and Seconds_Behind_Master

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When MySQL Lies: The Truth About Slave Lag and Seconds_Behind_Master

If you're diving into parallel replication with MySQL, take note of a bug that produces incorrect slave lag numbers in certain circumstances—and how to fix it.

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seconds_behind_masterIn today’s blog, I will cover an issue with seconds_behind_master that one of our clients faced when running slave_parallel_works > 0. We found out that the reported seconds_behind_master from SHOW SLAVE STATUS was lying. To be more specific, I’m talking about bugs #84415 and #1654091.

MySQL will not report the correct slave lag if you have slave_parallel_workers> 0. Let’s show it in practice.

I’ll use MySQL Sandbox to speed up one master and two slaves on MySQL version 5.7.17, and sysbench to populate the database:

# Create sandboxes
make_replication_sandbox /path/to/mysql/5.7.17
# Create table with 1.5M rows on it
sysbench --test=/usr/share/sysbench/tests/db/oltp.lua --mysql-host=localhost --mysql-user=msandbox --mysql-password=msandbox --mysql-socket=/tmp/mysql_sandbox20192.sock --mysql-db=test --oltp-table-size=1500000 prepare
# Add slave_parallel_workers=5 and slave_pending_jobs_size_max=1G" on node1
echo "slave_parallel_workers=5" >> node1/my.sandbox.cnf
echo "slave_pending_jobs_size_max=1G" >> node1/my.sandbox.cnf

Monitor replication lag via SHOW SLAVE STATUS:

for i in {1..1000};
        node1/use -e "SHOW SLAVE STATUSG" | grep "Seconds_Behind_Master" | awk '{print "Node1: " $2}' &
        sleep 0.1 ;
        node2/use -e "SHOW SLAVE STATUSG" | grep "Seconds_Behind_Master" | awk '{print "Node2: " $2}' &
    sleep 1;

On a separate terminal, DELETE some rows in the test.sbtest1 table on the master, and monitor the above output once the master completes the delete command:

Here is a sample output:

master [localhost] {msandbox} (test) > DELETE FROM test.sbtest1 WHERE id > 100;
Query OK, 1499900 rows affected (46.42 sec)
. . .
Node1: 0
Node2: 0
Node1: 0
Node2: 48
Node1: 0
Node2: 48
Node1: 0
Node2: 49
Node1: 0
Node2: 50
. . .
Node1: 0
Node2: 90
Node1: 0
Node2: 91
Node1: 0
Node2: 0
Node1: 0
Node2: 0

As you can see, node1 (which is running with slave_parallel_workers = 5) doesn’t report any lag.

The Workaround

We can workaround this issue by querying performance_schema.threads:

Let’s modify our monitoring script, and use the above query to monitor the lag on node1:

Please note that in our query to performance_schema.threads, we are filtering PROCESSLIST_STATE “NULL” and “!= Waiting for an event from Coordinator”. The correct state is “Executing Event”, but it seems like it doesn’t correctly report that state (#84655).

MySQL parallel replication is a nice feature, but we still need to make sure we are aware of any potential issues it might bring. Most monitoring systems use the output of SHOW SLAVE STATUS to verify whether or not the slave is lagging behind the master. As shown above, it has its caveats.

As always, we should test, test and test again before implementing any change like this in production!

Learn how the world’s first NoSQL Engagement Database delivers unparalleled performance at any scale for customer experience innovation that never ends.

mysql ,database ,database performance ,parallel replication ,tutorial

Published at DZone with permission of Marcelo Altmann, DZone MVB. See the original article here.

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