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releases: add release notes for v7.5.0 #15250

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---
title: TiDB 7.5.0 Release Notes
summary: Learn about the new features, compatibility changes, improvements, and bug fixes in TiDB 7.5.0.
---

# TiDB 7.5.0 Release Notes

Release date: xx xx, 2023

TiDB version: 7.5.0

Quick access: [Quick start](https://docs.pingcap.com/tidb/v7.5/quick-start-with-tidb) | [Production deployment](https://docs.pingcap.com/tidb/v7.5/production-deployment-using-tiup) | [Installation packages](https://www.pingcap.com/download/?version=v7.5.0#version-list)

TiDB 7.5.0 is a Long-Term Support Release (LTS).

Compared with the previous LTS 7.1.0, 7.5.0 not only includes new features, improvements, and bug fixes released in [7.2.0-DMR](/releases/release-7.2.0.md), [7.3.0-DMR](/releases/release-7.3.0.md), [7.4.0-DMR](/releases/release-7.4.0.md), but also introduces the following key features and improvements:
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## Feature details

### Scalability

* 支持设置 TiDB 节点的服务范围,用于选择适用的 TiDB 节点来执行并行的 `ADD INDEX` 或 `IMPORT INTO` 任务 (GA) [#46453](https://github.com/pingcap/tidb/pull/46453 )@[ywqzzy](https://github.com/ywqzzy)<!--**tw@hfxsd** 1581-->

在资源密集型集群中,并行执行 `ADD INDEX` 或 `IMPORT INTO` 任务可能占用大量 TiDB 节点的资源,从而导致集群性能下降。从 v7.4.0 起,你可以通过变量 [tidb_service_scope](/system-variables.md#tidb_service_scope-从-v740-版本开始引入) 控制 [TiDB 后端任务分布式框架](/tidb-distributed-execution-framework.md)下各 TiDB 节点的服务范围。你可以从现有 TiDB 节点中选择几个节点,或者对新增 TiDB 节点设置服务范围。所有并行执行的 `ADD INDEX` 和 `IMPORT INTO` 的任务只会运行在这些节点,避免对已有业务造成性能影响。在 v7.5.0 中,该功能正式 GA。

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For more information, see [documentation](/system-variables.md#tidb_service_scope-从-v740-版本开始引入).
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### Performance

* The TiDB backend task distributed execution framework becomes generally available (GA). The cloud storage-based global sort capability also becomes GA, improving the performance and stability of `ADD INDEX` and `IMPORT INTO` tasks in parallel execution [#45719](https://github.com/pingcap/tidb/issues/45719) @[wjhuang2016](https://github.com/wjhuang2016) <!--**tw@ran-huang** 1580-->
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Before v7.4.0, when executing tasks like `ADD INDEX` or `IMPORT INTO` in the distributed parallel execution framework, each TiDB node needs to allocate a significant amount of local disk space for sorting encoded index KV pairs and table data KV pairs. However, due to the lack of global sorting capability, there might be overlapping data between different TiDB nodes and within each individual node during the process. As a result, TiKV has to constantly perform compaction operations while importing these KV pairs into its storage engine, which impacts the performance and stability of `ADD INDEX` and `IMPORT INTO`.

In v7.4.0, TiDB introduces the [Global Sort](/tidb-global-sort.md) feature. Instead of writing the encoded data locally and sorting it there, the data is now written to cloud storage for global sorting. Once sorted, both the indexed data and table data are imported into TiKV in parallel, thereby improving performance and stability.

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For more information, see [documentation](/tidb-global-sort.md).

* Improve the performance of adding multiple indexes in a single SQL statement [#41602](https://github.com/pingcap/tidb/issues/41602) @[tangenta](https://github.com/tangenta) <!--**tw@ran-huang** 1582-->

Before v7.5.0, when you add multiple indexes (`ADD INDEX`) in a single SQL statement, the performance was similar to adding multiple indexes using separate SQL statements. Starting from v7.5.0, the performance of adding multiple indexes in a single SQL statement is significantly improved, improving XX, which greatly reduces the time required for adding indexes.
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### Reliability

* 功能标题 [#issue号](链接) @[贡献者 GitHub ID](链接)

功能描述(需要包含这个功能是什么、在什么场景下对用户有什么价值、怎么用)

更多信息,请参考[用户文档](链接)。

### Availability

* 功能标题 [#issue号](链接) @[贡献者 GitHub ID](链接)

功能描述(需要包含这个功能是什么、在什么场景下对用户有什么价值、怎么用)

更多信息,请参考[用户文档](链接)。

### SQL

* 功能标题 [#issue号](链接) @[贡献者 GitHub ID](链接)

功能描述(需要包含这个功能是什么、在什么场景下对用户有什么价值、怎么用)

更多信息,请参考[用户文档](链接)。

### DB operations

* DDL 任务支持暂停和恢复操作成为正式功能 (GA) [#issue](issue链接) @[contributor](https://github.com/xxx)

在 v7.2.0 中引入的 DDL 任务的暂停和恢复功能成为正式功能 (GA)。该功能允许临时暂停资源密集型的 DDL 操作(如创建索引),以节省资源并最小化对在线流量的影响。当资源允许时,你可以无缝恢复 DDL 任务,而无需取消和重新开始。DDL 任务的暂停和恢复功能提高了资源利用率,改善了用户体验,并简化了 schema 变更过程。

你可以通过如下 `ADMIN PAUSE DDL JOBS` 或 `ADMIN RESUME DDL JOBS` 语句暂停或者恢复多个 DDL 任务:

```sql
ADMIN PAUSE DDL JOBS 1,2;
ADMIN RESUME DDL JOBS 1,2;
```

For more information, see [documentation](/ddl-introduction.md#ddl-相关的命令介绍).
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* BR 支持备份和恢复统计信息 [#48008](https://github.com/pingcap/tidb/issues/48008) @[Leavrth](https://github.com/Leavrth) <!--**tw@hfxsd** 1437-->

从 TiDB v7.5.0 开始,BR 备份工具开始支持备份和恢复数据库统计信息,引入了参数 `--ignore-stats`。当指定该参数值为 `false` 时,BR 备份工具支持备份和恢复数据库的列、索引、和表级别的统计信息,因此从备份中恢复的 TiDB 数据库不再需要手动运行统计信息收集任务,也无需等待自动收集任务的完成,从而简化了数据库维护工作,并提升了查询性能。

For more information, see [documentation](/br/br-snapshot-manual.md#备份统计信息).
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### Observability

* 功能标题 [#issue号](链接) @[贡献者 GitHub ID](链接)

功能描述(需要包含这个功能是什么、在什么场景下对用户有什么价值、怎么用)

更多信息,请参考[用户文档](链接)。

### Security

* 功能标题 [#issue号](链接) @[贡献者 GitHub ID](链接)

功能描述(需要包含这个功能是什么、在什么场景下对用户有什么价值、怎么用)

更多信息,请参考[用户文档](链接)。

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### Data migration

* "IMPORT INTO" SQL 语句成为正式功能(GA) [#46704](https://github.com/pingcap/tidb/issues/46704) @[D3Hunter](https://github.com/D3Hunter)<!--**tw@qiancai** 1579-->

从 v7.4.0 起,你可以通过在 IMPORT INTO 的 CLOUD_STORAGE_URI 选项中指定编码后数据的云存储地址,开启[全局排序功能](https://github.com/pingcap/docs-cn/blob/master/tidb-global-sort.md),提升性能和稳定性,该功能在 7.5 版本成为正式功能(GA)。

For more information, see [documentation](https://github.com/pingcap/docs-cn/blob/master/sql-statements/sql-statement-import-into.md).
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* Data Migration (DM) supports blocking incompatible (data-consistency-corrupting) DDL changes [#9692](https://github.com/pingcap/tiflow/issues/9692) @[GMHDBJD](https://github.com/GMHDBJD) <!--**tw@hfxsd** 1523-->

在 v7.5.0 之前,使用 DM 的 Binlog Filter 功能只能迁移或过滤指定的 Event,且颗粒度比较粗,例如只能过滤 `ALTER` 这种大颗粒度的 DDL Event,这种方式在某些业务场景会受限,如业务允许 Add Column,但是不允许 Drop Column,但之前的版本都会被 `ALTER` Event 过滤。

因此,v7.5.0 细化了支持的 DDL Event,如新增 `MODIFY COLUMN`(修改列数据类型)、`DROP COLUMN` 等会导致数据丢失、数据被截断、精度损失等问题的细粒度 DDL Event。你可以按需配置,同时还支持拦截 DDL,并报错提示,你可以及时介入手工处理,避免对下游的业务数据产生影响。

For more information, see [documentation](/dm/dm-binlog-event-filter.md#参数解释).
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* Support real-time update of checkpoint for continuous data validation [issue号](链接) @[lichunzhu](https://github.com/lichunzhu) <!--**tw@ran-huang** 1496-->
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Before v7.5.0, the [continuous data validation feature](/dm/dm-continuous-data-validation.md) ensures the data consistency during replication from DM to downstream. This serves as the basis for cutting over business traffic from the upstream database to TiDB. However, due to various factors such as replication delay and waiting for re-validation of inconsistent data, the continuous validation checkpoint must be refreshed every few minutes. This is unacceptable for some business scenarios where the cutover time is limited to a few tens of seconds.
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With the introduction of real-time updating of checkpoint for continuous data validation, you can now provide the binlog position from the upstream database. Once the continuous validation program detects this binlog position in memory, it immediately refreshes the checkpoint instead of refreshing it every few minutes. Therefore, you can quickly perform cut-off operations based on this immediately updated checkpoint.

For more information, see [documentation](/dm/dm-continuous-data-validation.md#set-the-cutover-point-for-continuous-data-validation).

## Compatibility changes

> **Note:**
>
> This section provides compatibility changes you need to know when you upgrade from v7.4.0 to the current version (v7.5.0). If you are upgrading from v7.3.0 or earlier versions to the current version, you might also need to check the compatibility changes introduced in intermediate versions.

### Behavior changes

* 行为变更 1

* 行为变更 2

### MySQL compatibility

* 兼容性 1

* 兼容性 2

### System variables

| 变量名 | 修改类型(包括新增/修改/删除) | 描述 |
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|--------|------------------------------|------|
| [`tidb_build_sampling_stats_concurrency`](/system-variables.md#tidb_build_sampling_stats_concurrency-从-v750-版本开始引入) | 新增 | 该变量用来设置 `ANALYZE` 过程中的采样并发度。 |
| [`tidb_enable_async_merge_global_stats`](/system-variables.md#tidb_enable_async_merge_global_stats-从-v750-版本开始引入) | 新增 | 该变量用于 TiDB 使用异步方式合并统计信息, 以避免 OOM 问题。 |
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| | | |
| | | |

### Configuration file parameters

| 配置文件 | 配置项 | 修改类型 | 描述 |
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| -------- | -------- | -------- | -------- |
| BR | [`--ignore-stats`](/br/br-snapshot-manual.md#备份统计信息) | 新增 | 用于备份和恢复数据库统计信息。当指定该参数值为 `false` 时,BR 备份工具支持备份和恢复数据库的列、索引、和表级别的统计信息。 |
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| | | | |

### Others

## Offline package changes

从 v7.5.0 开始,`TiDB-community-toolkit` 二进制软件包中移除了以下内容:

- `tikv-importer-{version}-linux-{arch}.tar.gz`
- `mydumper`
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## Deprecated features

* [Mydumper](https://docs.pingcap.com/zh/tidb/v4.0/mydumper-overview) 在 v7.5.0 中废弃,其绝大部分功能已经被 [Dumpling](/dumpling-overview.md) 取代,强烈建议切换到 Dumpling。<!--**tw@Oreoxmt** 1593-->

* TiKV-importer 组件在 v7.5.0 中废弃,建议使用 [TiDB Lightning 物理导入模式](/tidb-lightning/tidb-lightning-physical-import-mode.md)作为替代方案。<!--**tw@Oreoxmt** 1594-->

* [TiDB Binlog](/tidb-binlog/tidb-binlog-overview.md) 在 v7.5.0 废弃数据同步功能,强烈建议使用 [TiCDC](/ticdc/ticdc-overview.md) 来实现高效稳定的数据同步。尽管 TiDB Binlog 在 v7.5.0 仍支持 Point-in-Time Recovery (PITR) 场景,但是该组件在未来 LTS 版本中将被完全废弃,推荐使用 [PITR](/br/br-pitr-guide.md) 替代。<!--**tw@Oreoxmt** 1575-->

* 统计信息的[快速分析](https://docs.pingcap.com/zh/tidb/v7.4/system-variables#tidb_enable_fast_analyze)(实验特性)在 v7.5.0 中废弃。<!--**tw@Oreoxmt** -->

* 统计信息的[增量收集](https://docs.pingcap.com/zh/tidb/v7.4/statistics#增量收集)(实验特性)在 v7.5.0 中废弃。<!--**tw@Oreoxmt** -->

## Improvements

+ TiDB

- 优化合并 GlobalStats 的并发模型:引入 `tidb_enable_async_merge_global_stats` 实现同时加载统计信息并合并,从而加速分区表场景下的合并 GlobalStats。同时优化合并 GlobalStats 的内存使用,以避免 OOM 并减少内存分配 [#47219](https://github.com/pingcap/tidb/issues/47219) @[hawkingrei](https://github.com/hawkingrei) <!--**tw@hfxsd** -->
- 优化 Analyze 流程:引入 `tidb_build_sampling_stats_concurrency` 精细化控制 Analyze 并发度,减少资源消耗。同时优化 Analyze 的内存使用,通过复用部分中间结果,减少内存分配,避免频繁 GC [#47275](https://github.com/pingcap/tidb/issues/47275) @[hawkingrei](https://github.com/hawkingrei) <!--**tw@hfxsd** -->
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- 改进 Placement Policy 的使用:增加对全局范围的策略配置,完善常用场景的语法支持 [#45384](https://github.com/pingcap/tidb/issues/45384) @[nolouch](https://github.com/nolouch) <!--**tw@qiancai** -->
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+ TiKV

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ PD

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiFlash

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- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ Tools

+ Backup & Restore (BR)

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- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiCDC

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- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiDB Data Migration (DM)

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiDB Lightning

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiUP

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

## Bug fixes

+ TiDB

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

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+ TiKV

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+ PD

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- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiFlash

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+ Tools

+ Backup & Restore (BR)

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- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiCDC

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiDB Data Migration (DM)

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiDB Lightning

- note [#issue](链接) @[贡献者 GitHub ID](链接)
- note [#issue](链接) @[贡献者 GitHub ID](链接)

+ TiUP

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- note [#issue](链接) @[贡献者 GitHub ID](链接)

## Performance test

To learn about the performance of TiDB v7.5.0, you can refer to the [TPC-C performance test report](https://docs.pingcap.com/tidbcloud/v7.5.0-performance-benchmarking-with-tpcc) and [Sysbench performance test report](https://docs.pingcap.com/tidbcloud/v7.5.0-performance-benchmarking-with-sysbench) of the TiDB Dedicated cluster.

## Contributors

We would like to thank the following contributors from the TiDB community:
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