TiCDC Overview

TiCDC is a tool for replicating the incremental data of TiDB. This tool is implemented by pulling TiKV change logs. It can restore data to a consistent state with any upstream TSO, and provides TiCDC Open Protocol to support other systems to subscribe to data changes.

TiCDC Architecture

When TiCDC is running, it is a stateless node that achieves high availability through etcd in PD. The TiCDC cluster supports creating multiple replication tasks to replicate data to multiple different downstream platforms.

The architecture of TiCDC is shown in the following figure:

System roles

• TiKV CDC component: Only outputs key-value (KV) change logs.

  • Assembles KV change logs in the internal logic.
  • Provides the interface to output KV change logs. The data sent includes real-time change logs and incremental scan change logs.

• capture: The operating process of TiCDC. Multiple captures form a TiCDC cluster that replicates KV change logs.

  • Each capture pulls a part of KV change logs.
  • Sorts the pulled KV change log(s).
  • Restores the transaction to downstream or outputs the log based on the TiCDC open protocol.

Replication features

This section introduces the replication features of TiCDC.

Sink support

Currently, the TiCDC sink component supports replicating data to the following downstream platforms:

• Databases compatible with MySQL protocol. The sink component provides the final consistency support.
• Kafka based on the TiCDC Open Protocol. The sink component ensures the row-level order, final consistency or strict transactional consistency.

Ensure replication order and consistency

Replication order

• For all DDL or DML statements, TiCDC outputs them at least once.

• When the TiKV or TiCDC cluster encounters failure, TiCDC might send the same DDL/DML statement repeatedly. For duplicated DDL/DML statements:

  • MySQL sink can execute DDL statements repeatedly. For DDL statements that can be executed repeatedly in the downstream, such as truncate table, the statement is executed successfully. For those that cannot be executed repeatedly, such as create table, the execution fails, and TiCDC ignores the error and continues the replication.
  • Kafka sink sends messages repeatedly, but the duplicate messages do not affect the constraints of Resolved Ts. Users can filter the duplicated messages from Kafka consumers.

Replication consistency

• MySQL sink

  • TiCDC does not split single-table transactions and ensures the atomicity of single-table transactions.
  • TiCDC does not ensure that the execution order of downstream transactions is the same as that of upstream transactions.
  • TiCDC splits cross-table transactions in the unit of table and does not ensure the atomicity of cross-table transactions.
  • TiCDC ensures that the order of single-row updates is consistent with that in the upstream.

• Kafka sink

  • TiCDC provides different strategies for data distribution. You can distribute data to different Kafka partitions based on the table, primary key, or timestamp.
  • For different distribution strategies, the different consumer implementations can achieve different levels of consistency, including row-level consistency, eventual consistency, or cross-table transactional consistency.
  • TiCDC does not have an implementation of Kafka consumers, but only provides TiCDC Open Protocol. You can implement the Kafka consumer according to this protocol.

Restrictions

TiCDC only replicates the table that has at least one valid index. A valid index is defined as follows:

• The primary key (PRIMARY KEY) is a valid index.
• The unique index (UNIQUE INDEX) that meets the following conditions at the same time is a valid index:
  • Every column of the index is explicitly defined as non-nullable (NOT NULL).
  • The index does not have the virtual generated column (VIRTUAL GENERATED COLUMNS).

Since v4.0.8, TiCDC supports replicating tables without a valid index by modifying the task configuration. However, this compromises the guarantee of data consistency to some extent. For more details, see Replicate tables without a valid index.

Unsupported scenarios

Currently, The following scenarios are not supported:

• The TiKV cluster that uses RawKV alone.
• The DDL operation CREATE SEQUENCE and the SEQUENCE function in TiDB v4.0. When the upstream TiDB uses SEQUENCE, TiCDC ignores SEQUENCE DDL operations/functions performed upstream. However, DML operations using SEQUENCE functions can be correctly replicated.
• The TiKV Hibernate Region. TiCDC prevents the Region from entering the hibernated state.

TiCDC only provides partial support for scenarios of large transactions in the upstream. For details, refer to FAQ: Does TiCDC support replicating large transactions? Is there any risk?.

Install and deploy TiCDC

You can either deploy TiCDC along with a new TiDB cluster or add the TiCDC component to an existing TiDB cluster. For details, see Deploy TiCDC.

Manage TiCDC Cluster and Replication Tasks

Currently, you can use the cdc cli tool to manage the status of a TiCDC cluster and data replication tasks. For details, see:

• Use cdc cli to manage cluster status and data replication task
• Use HTTP interface to manage cluster status and data replication task

Troubleshoot TiCDC

For details, refer to Troubleshoot TiCDC.

TiCDC Open Protocol

TiCDC Open Protocol is a row-level data change notification protocol that provides data sources for monitoring, caching, full-text indexing, analysis engines, and primary-secondary replication between different databases. TiCDC complies with TiCDC Open Protocol and replicates data changes of TiDB to third-party data medium such as MQ (Message Queue). For more information, see TiCDC Open Protocol.

Compatibility notes for sort-dir and data-dir

The sort-dir configuration is used to specify the temporary file directory for the TiCDC sorter. Its functionalities might vary in different versions. The following table lists sort-dir's compatibility changes across versions.