Replication lag Stay organized with collections Save and categorize content based on your preferences.

This page describes how to troubleshoot and fix replication lag for Cloud SQL read replicas.

Overview

Replication lag can happen in a few scenarios, such as:

• The primary instance can't send the changes fast enough to the replica.
• The replica can't receive the changes quickly enough.
• The replica can't apply the changes quickly enough.

The total lag is observed with the replica_lag metric. The difference between replica_lag and the network_lag can indicate the third reason when the replica can't apply replication changes fast enough. For more information about these metrics, see Monitor replication lag.

Faster replica configuration

We have two ways to make a MySQL replica apply changes faster. Users can configure their replicas with the following options:

• Parallel replication
• High performance flushing

Parallel replication

Parallel replication might help replication lag by configuring the replica to use multiple threads acting in parallel to apply changes on the replica. For information about using parallel replication, see Configuring parallel replication.

When you enable parallel replication by setting the replica_parallel_workers (or slave_parallel_workers) flag, consider the following:

• We recommend setting the replica_parallel_workers flag value to a number that matches the vCPU count of the replica instance. Setting it to a very high value can cause lock waits, lock wait timeouts, and deadlocks. If you observe lock wait spikes aligned with replication lag, consider reducing parallelism.
• If your MySQL version supports the binlog_transaction_dependency_tracking flag, consider setting it to WRITESET for the primary instance. This is the default behavior for 8.0.34 and earlier.

High performance flushing

By default, Cloud SQL for MySQL flushes the redo logs to disk after each transaction for durability. High performance flushing reduces the frequency with which the redo logs are flushed to the disk to once per second. Doing so can help improve write performance on the replica by reducing disk I/O.

Set the innodb_flush_log_at_trx_commit flag on the read replica to 2. If binary logging is enabled for the replica, to help make the innodb_flush_log_at_trx_commit flag effective, we recommend setting the sync_binlog flag to a high value, for example, 10,000.

See Tips for working with flags for more information about this flag.

When the innodb_flush_log_at_trx_commit flag is set on the read replica and Cloud SQL detects that a crash might have occurred, Cloud SQL automatically recreates the replica.

Ensure replica is adequately provisioned

A replica instance that is smaller than the primary instance (for example, with less vCPUs and memory) can experience replication lag. A smaller replica might also have different default configuration flags compared to a larger primary instance. We recommend that the replica instance is at least as large as the primary instance to have enough resources to handle the replication load.

High CPU utilization on the replica can also cause replication lag. If the replica's CPU utilization is high (for example, over 90%), consider increasing the replica's CPU capacity.

Optimize queries and schema

This section suggests some common query and schema optimizations you can make to improve replication performance.

Query isolation level in the read replica

The REPEATABLE READ and SERIALIZABLE transaction isolation levels acquire locks that might block the replication changes. Consider reducing the isolation level for your queries in the replica. The READ COMMITTED transaction isolation level might perform better.

Long-running transactions in the primary database

Long-running transactions on the primary instance can cause replication lag. The binary log is not sent to the replica until the transaction is committed.

If a large number of rows are updated in a single transaction, it can cause a sudden spike in the number of changes that need to be applied to the primary instance and then sent to the replica. This applies to single-statement updates or deletes that affect many rows at once. Changes are sent to the replica after they are committed. Applying a sudden spike of changes in the replica can increase the possibility of lock contention in the replica if the query load on the replica is also high, leading to replication lag.

Consider breaking large transactions into multiple smaller transactions. You can monitor for long-running transactions by checking the cloudsql.googleapis.com/database/mysql/innodb/active_trx_longest_time metric on the primary.

Missing primary keys

Cloud SQL read replicas use row-based replication, which performs poorly if the MySQL tables that are replicated don't have primary keys. We recommend that all of the replicated tables have primary keys.

For MySQL 8 or later, we recommend that you set the flag sql_require_primary_key to ON to require tables in your database to have primary keys.

Long-running transactions in the read replica

Long-running transactions on the replica, such as SELECT statements, can block or slow down replication. Table scan is a common problem. Investigate any long-running queries and consider optimizing them. These queries can lead to InnoDB history list size growth.

Excessive InnoDB history length

A very large InnoDB history list can cause performance problems and slow down replication. You can monitor the history list length using the cloudsql.googleapis.com/database/mysql/innodb/history_list_length metric. This metric can be high in the primary as well and might be causing performance issues already. If, after initial startup, your replica shows signs of high replication lag, this might be the cause.

A large history list can be caused by the following:

• Long-running transactions. Long-running or idle transactions prevent purging of old undo log entries.
• Slow disk performance. Purging is an I/O-intensive operation.
• REPEATABLE READ isolation level. This can contribute to history list growth.
• Insufficient purge configuration.The innodb_purge_threads parameter, which controls the number of threads dedicated to purging, might be set too low for the workload.

To help address this, try the following:

• Breakdown large transaction to smaller ones. Allow quicker purging of old logs.
• Use a larger instance. Larger instances have more CPU and memory.
• Tune purge settings. Increase innodb_purge_threads, innodb_io_capacity, and innodb_io_capacity_max.
• Use READ COMMITTED isolation level.
• Ensure tables have primary keys. Tables without primary keys can cause table scans which can slow down replication and contribute to history list growth.

High amount of lock waits

A high number of lock waits on the replica can slow down replication, especially with parallel replication enabled. You can monitor for lock waits and deadlocks using the following metrics:

• cloudsql.googleapis.com/database/mysql/innodb/row_lock_waits_count
• cloudsql.googleapis.com/database/mysql/innodb/row_lock_time
• cloudsql.googleapis.com/database/mysql/innodb/lock_timeout_count
• cloudsql.googleapis.com/database/mysql/innodb/deadlocks_count

If these lock metrics are too high and seem to be correlated with replication lag, consider reducing the value of the replica_parallel_workers flag. Isolation level might also impact locks.

Exclusive locks due to DDL

Data definition language (DDL) commands, such as ALTER TABLE and CREATE INDEX, can cause replication lag in the replica due to exclusive locks. To avoid lock contention, consider scheduling DDL execution during times when the query load is lower on the replicas.

Overloaded replica

If a read replica is receiving too many queries, replication could be blocked. Consider splitting the reads among multiple replicas to reduce the load on each one.

To avoid query spikes, consider throttling replica read queries in your application logic or in a proxy layer if you use one.

If there are spikes of activity on the primary instance, consider spreading out updates.

Monolithic primary database

Consider sharding the primary database vertically (or horizontally) to prevent one or more lagging tables from holding back all the other tables.

Monitor replication lag

You can use the replica_lag and network_lag metrics to monitor replication lag and identify whether the cause of the lag is in the primary database, the network, or the replica.

Verify replication

To verify that replication is working, run the following statement against the replica:

mysql> SHOW SLAVE STATUS\G;
*************************** 1. row ***************************
               Slave_IO_State: Queueing master event to the relay log
                  Master_Host: xx.xxx.xxx.xxx
                  Master_User: cloudsqlreplica
                  Master_Port: 3306
                Connect_Retry: 60
              Master_Log_File: mysql-bin.199927
          Read_Master_Log_Pos: 83711956
               Relay_Log_File: relay-log.000025
                Relay_Log_Pos: 24214376
        Relay_Master_Log_File: mysql-bin.199898
             Slave_IO_Running: Yes
            Slave_SQL_Running: Yes
              Replicate_Do_DB:
          Replicate_Ignore_DB:
           Replicate_Do_Table:
       Replicate_Ignore_Table:
      Replicate_Wild_Do_Table:
  Replicate_Wild_Ignore_Table:
                   Last_Errno: 0
                   Last_Error:
                 Skip_Counter: 0
          Exec_Master_Log_Pos: 24214163
              Relay_Log_Space: 3128686571
              Until_Condition: None
               Until_Log_File:
                Until_Log_Pos: 0
           Master_SSL_Allowed: Yes
           Master_SSL_CA_File: master_server_ca.pem
           Master_SSL_CA_Path: /mysql/datadir
              Master_SSL_Cert: replica_cert.pem
            Master_SSL_Cipher:
               Master_SSL_Key: replica_pkey.pem
        Seconds_Behind_Master: 2627
Master_SSL_Verify_Server_Cert: No
                Last_IO_Errno: 0
                Last_IO_Error:
               Last_SQL_Errno: 0
               Last_SQL_Error:
  Replicate_Ignore_Server_Ids:
             Master_Server_Id: 321071839
                  Master_UUID: 437d04e9-8456-11e8-b13d-42010a80027b
             Master_Info_File: mysql.slave_master_info
                    SQL_Delay: 0
          SQL_Remaining_Delay: NULL
      Slave_SQL_Running_State: System lock
           Master_Retry_Count: 86400
                  Master_Bind:
      Last_IO_Error_Timestamp:
     Last_SQL_Error_Timestamp:
               Master_SSL_Crl:
           Master_SSL_Crlpath:
           Retrieved_Gtid_Set: 437d04e9-8456-11e8-b13d-42010a80027b:52111095710-52120776390
            Executed_Gtid_Set: 437d04e9-8456-11e8-b13d-42010a80027b:1-52113039508
                Auto_Position: 1
         Replicate_Rewrite_DB:
                 Channel_Name:
           Master_TLS_Version:
1 row in set (0.00 sec)

If replication is happening, the first column, Slave_IO_State, shows Waiting for master to send event or a similar message. Also, the Last_IO_Error field is empty.

If replication is not happening, the Slave_IO_State column shows the status Connecting to master and the Last_IO_Error column shows the status error connecting to master cloudsqlreplica@x.x.x.x:3306.

According to the MySQL documentation, a few other interesting fields that relate to replication lag include the following:

In the previous example Relay_Master_Log_File has the value mysql-bin.199898. Master_Log_File has the value mysql-bin.199927. The numeric suffix 199898 is less than 199927. This means that even though the replica has received a newer mysql-bin.199927 log file, it's still applying the older mysql-bin.199898.

In this case, the SQL thread is lagging in the replica.

You can also connect to the primary database and execute:

  SHOW MASTER STATUS;

This command shows you which binlog file is being written in the primary database.

If the primary database binary log file is newer than the Master_Log_File in the replica, it means that the I/O thread is lagging. The replica is still reading an older binary log file from the primary database.

When the I/O thread is lagging, the network_lag metric is also high. When the SQL thread is lagging, but the I/O thread is not, then the network_lag metric isn't as high, but the replica_lag is high.

The previous commands let you observe lag details while the lag is happening, but the metrics network_lag and replica_lag provide you a way to look into the past occurrences of the lag.

Recreate lagging replica

Preview

This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

Recreate a lagging replica when replication falls behind an acceptable length of time.

With Cloud SQL, you can configure your read replica to recreate itself if replication lags (or is delayed) beyond an acceptable length of time, and that delay persists for at least five minutes.

If you define an acceptable replication delay as being less than 360 seconds (six minutes), and a replication delay of at least 361 seconds persists for more than five minutes, then after five minutes, the primary instance creates a new snapshot of itself and the read replica is recreated using this snapshot.

Recreating a lagging read replica provides the following benefits:

• You control what's considered an acceptable range for replication delay.
• You can reduce the time spent troubleshooting replication delay by hours or even days.

Additional feature details apply:

• Compatible with the following versions:
  • MySQL 5.7
  • MySQL 8.0
  • MySQL 8.4
  • MySQL 9.7
• An acceptable range for replication lag or delay must be defined in seconds.
• The minimum acceptable value is 300 seconds or five minutes.
• The maximum acceptable value is 31,536,000 seconds or one year.
  • If you enable recreate lagging replica for an instance but don't set the maximum acceptable replication delay, then Cloud SQL uses the default value of one year.
• Types of instances that are supported:
  • Read replica
  • Cross-region read replica
  • Cascading replica
• The value set for the replicationLagMaxSeconds field is specific to each replica instance. If a primary instance has multiple replica instances, then you can set each replica with a different value.
• When a replica is recreated, users can expect some downtime while the following operations are completed:
  • Replication is stopped.
  • The replica is deleted.
  • A snapshot of the primary instance is created.
  • The replica is recreated from this latest snapshot. The new replica uses the same name and IP address as the previous replica. As a result, MySQL must stop and restart.
  • The new replica starts replicating data.
• The replicationLagMaxSeconds is an instance level field. Each instance has its own value.

• If you have multiple read replicas for the same primary instance, you can set a unique value for the replicationLagMaxSeconds field for each replica.

  Defining different time thresholds for different replicas can help you avoid a scenario where all replicas go down at the same time.

Enable recreate lagging replica

The recreate lagging replica feature is disabled by default. To enable it when you create an instance, use one of the following methods:

gcloud beta sql instances create REPLICA_INSTANCE_NAME \
  --master-instance-name=PRIMARY_INSTANCE_NAME \
  --database-version=DATABASE_VERSION \
  --tier=TIER \
  --edition=EDITION \
  --region=REGION \
  --root-password=PASSWORD \
  --replication-lag-max-seconds-for-recreate=REPLICATION_LAG_MAX_SECONDS

{
  "settings": {
  "replicationLagMaxSeconds" :REPLICATION_LAG_MAX_SECONDS,
  }
  ...
}

Update the recreate timeframe for replication lag

To view an instance's settings, use any of the methods described in View instance summary information.

With this information, you can choose whether or not to update the replication lag timeframe you specified as being acceptable before the replica is recreated.

gcloud beta sql instances patch INSTANCE_NAME \
  --replication-lag-max-seconds-for-recreate=REPLICATION_LAG_MAX_SECONDS

Limitations

The following limitations apply to recreating lagging replicas:

• Values for replicationLagMaxSeconds can only be set in seconds.
• Indexes created on the read replica prior to a recreate operation won't persist. If an index exists, then create a secondary index after the replica is recreated.
• To avoid frequent downtimes on read replicas, recreations are limited to one per day per instance.
• Replicas of external servers are not supported with this feature.
• If you enable recreation of lagging replicas on a cascading replica, then Cloud SQL recreates the leaf replicas first in order to maintain replication consistency.
• Recreating a cross-region replica incurs additional cost.
• You can't enable recreation of lagging replicas in the Google Cloud console.

What's next:

• Promote replicas for regional migration or disaster recovery