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ticdc: fix overview and 6.5 release notes (#12677) (#12684)
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ti-chi-bot authored Feb 27, 2023
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4 changes: 3 additions & 1 deletion releases/release-6.5.0.md
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Expand Up @@ -272,7 +272,9 @@ Compared with the previous LTS 6.1.0, 6.5.0 not only includes new features, impr

* TiCDC performance improves significantly [#7540](https://github.com/pingcap/tiflow/issues/7540) [#7478](https://github.com/pingcap/tiflow/issues/7478) [#7532](https://github.com/pingcap/tiflow/issues/7532) @[sdojjy](https://github.com/sdojjy) [@3AceShowHand](https://github.com/3AceShowHand)

In a test scenario of the TiDB cluster, the performance of TiCDC has improved significantly. Specifically, the maximum row changes that a single TiCDC can process reaches 30K rows/s, and the replication latency is reduced to 10s. Even during TiKV and TiCDC rolling upgrade, the replication latency is less than 30s. In a disaster recovery (DR) scenario, by enabling TiCDC redo logs and Syncpoint, the TiCDC throughput of [replicating data to Kafka](/replicate-data-to-kafka.md) can be improved from 4000 rows/s to 35000 rows/s, and the replication latency can be maintained at 2s.
In a test scenario of the TiDB cluster, the performance of TiCDC has improved significantly. Specifically, in the scenario of replicating data to Kafka, the maximum row changes that a single TiCDC can process reaches 30K rows/s, and the replication latency is reduced to 10s. Even during TiKV and TiCDC rolling upgrade, the replication latency is less than 30s.

In a disaster recovery (DR) scenario, if TiCDC redo log and Syncpoint are enabled, the TiCDC throughput of [replicating data to Kafka](/replicate-data-to-kafka.md) can be improved from 4000 rows/s to 35000 rows/s, and the replication latency can be limited to 2s.

### Backup and restore

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5 changes: 1 addition & 4 deletions ticdc/ticdc-overview.md
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Expand Up @@ -17,6 +17,7 @@ summary: Learn what TiCDC is, what features TiCDC provides, and how to install a
### Key capabilities

- Replicate incremental data from one TiDB cluster to another TiDB cluster with second-level RPO and minute-level RTO.
- Replicate data bidirectionally between TiDB clusters, based on which you can create a multi-active TiDB solution using TiCDC.
- Replicate incremental data from a TiDB cluster to a MySQL database (or other MySQL-compatible databases) with low latency.
- Replicate incremental data from a TiDB cluster to a Kafka cluster. The recommended data format includes [Canal-JSON](/ticdc/ticdc-canal-json.md) and [Avro](/ticdc/ticdc-avro-protocol.md).
- Replicate tables with the ability to filter databases, tables, DMLs, and DDLs.
Expand Down Expand Up @@ -89,7 +90,3 @@ Currently, the following scenarios are not supported:
- The [DDL operation `CREATE SEQUENCE`](/sql-statements/sql-statement-create-sequence.md) and the [SEQUENCE function](/sql-statements/sql-statement-create-sequence.md#sequence-function) in TiDB. When the upstream TiDB uses `SEQUENCE`, TiCDC ignores `SEQUENCE` DDL operations/functions performed upstream. However, DML operations using `SEQUENCE` functions can be correctly replicated.

TiCDC only provides partial support for scenarios of large transactions in the upstream. For details, refer to [Does TiCDC support replicating large transactions? Is there any risk?](/ticdc/ticdc-faq.md#does-ticdc-support-replicating-large-transactions-is-there-any-risk).

> **Note:**
>
> Since v5.3.0, TiCDC no longer supports the cyclic replication feature.

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