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TiDB Binlog Overview
Learn overview of the cluster version of TiDB Binlog.
/docs/dev/tidb-binlog/tidb-binlog-overview/
/docs/dev/reference/tidb-binlog/overview/
/docs/dev/reference/tidb-binlog-overview/
/docs/dev/reference/tools/tidb-binlog/overview/

TiDB Binlog Cluster Overview

This document introduces the architecture and the deployment of the cluster version of TiDB Binlog.

TiDB Binlog is a tool used to collect binlog data from TiDB and provide near real-time backup and replication to downstream platforms.

TiDB Binlog has the following features:

  • Data replication: replicate the data in the TiDB cluster to other databases
  • Real-time backup and restoration: back up the data in the TiDB cluster and restore the TiDB cluster when the cluster fails

Note:

TiDB Binlog is not compatible with some features introduced in TiDB v5.0 and they cannot be used together. For details, see Notes. It is recommended to use TiCDC instead of TiDB Binlog.

TiDB Binlog architecture

The TiDB Binlog architecture is as follows:

TiDB Binlog architecture

The TiDB Binlog cluster is composed of Pump and Drainer.

Pump

Pump is used to record the binlogs generated in TiDB, sort the binlogs based on the commit time of the transaction, and send binlogs to Drainer for consumption.

Drainer

Drainer collects and merges binlogs from each Pump, converts the binlog to SQL or data of a specific format, and replicates the data to a specific downstream platform.

binlogctl guide

binlogctl is an operations tool for TiDB Binlog with the following features:

  • Obtaining the current tso of TiDB cluster
  • Checking the Pump/Drainer state
  • Modifying the Pump/Drainer state
  • Pausing or closing Pump/Drainer

Main features

  • Multiple Pumps form a cluster which can scale out horizontally
  • TiDB uses the built-in Pump Client to send the binlog to each Pump
  • Pump stores binlogs and sends the binlogs to Drainer in order
  • Drainer reads binlogs of each Pump, merges and sorts the binlogs, and sends the binlogs downstream
  • Drainer supports relay log. By the relay log, Drainer ensures that the downstream clusters are in a consistent state.

Notes

  • TiDB Binlog is not compatible with the following features introduced in TiDB v5.0 and they cannot be used together. It is recommended to use TiCDC instead of TiDB Binlog:

    • TiDB Clustered Index: After TiDB Binlog is enabled, TiDB does not allow creating clustered indexes with non-single integer columns as primary keys; data insertion, deletion, and update of the created clustered index tables will not be replicated downstream via TiDB Binlog.
    • TiDB system variable tidb_enable_async_commit: After TiDB Binlog is enabled, performance cannot be improved by enabling this option.
    • TiDB system variable tidb_enable_1pc: After TiDB Binlog is enabled, performance cannot be improved by enabling this option.
  • TiDB Binlog is incompatible with the following feature introduced in TiDB v4.0.7 and they cannot be used together:

    • TiDB system variable tidb_enable_amend_pessimistic_txn: The two features have compatibility issues. Using them together might cause the issue that TiDB Binlog replicates data inconsistently.
  • Drainer supports replicating binlogs to MySQL, TiDB, Kafka or local files. If you need to replicate binlogs to other Drainer unsuppored destinations, you can set Drainer to replicate the binlog to Kafka and read the data in Kafka for customized processing according to binlog consumer protocol. See Binlog Consumer Client User Guide.

  • To use TiDB Binlog for recovering incremental data, set the config db-type to file (local files in the proto buffer format). Drainer converts the binlog to data in the specified proto buffer format and writes the data to local files. In this way, you can use Reparo to recover data incrementally.

    Pay attention to the value of db-type:

    • If your TiDB version is earlier than 2.1.9, set db-type="pb".
    • If your TiDB version is 2.1.9 or later, set db-type="file" or db-type="pb".
  • If the downstream is MySQL, MariaDB, or another TiDB cluster, you can use sync-diff-inspector to verify the data after data replication.