Troubleshooting ClickHouse Replication

Troubleshooting ClickHouse Replication


Troubleshooting ClickHouse replication can involve several steps, including:

  1. Monitor replication status: Use the ClickHouse system tables, such as system.replicas, system.replication_queue and system.replication_check to monitor the replication status. These tables show information about the replication status, replication lag, and replication errors.
  2. Check for network connectivity: Verify that the replication servers can communicate with each other by testing network connectivity between the servers. This can be done by using the ping command or by checking the firewall settings.
  3. Check replication settings: Verify that the replication settings are configured correctly. This includes the replication user, the replication host and the replication port.
  4. Check for replication errors: Check the logs for replication errors. The logs can be found in the /var/log/clickhouse-server/ directory.
  5. Check for data inconsistencies: Use the system.replication_check table to check for data inconsistencies between the replicas.
  6. Check for replication lag: Use the system.replication_queue table to check for replication lag. High values for the lag can indicate that the replication is not keeping up with the changes on the master.
  7. Check for Disk performance: Monitor the disk I/O performance and disk space usage to ensure that the disk is not a bottleneck.
  8. Monitor traffic: Monitor the number of queries being run simultaneously and adjust the capacity of the server if necessary.
  9. Restart replication: Restart the replication process, if necessary, by stopping and starting the replication service.

By taking these steps, it’s possible to identify the cause of the replication issues and take appropriate actions to resolve the issue. This can help improve the performance and scalability of the ClickHouse system and ensure that the data is consistent across all replicas.

About Shiv Iyer 117 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.