Learn how to use the `system.query_log` table to find the most memory-intensive queries in ClickHouse, with examples for clustered and standalone setups.
Monitor the number of active or queued mutations in ClickHouse, especially when performing `ALTER` or `UPDATE` operations. Use the `system.mutations` table for tracking mutations.
ClickHouse Keeper improves upon ZooKeeper with features like reduced disk space usage, faster recovery, and less memory consumption, offering better performance for ClickHouse clusters.