[WIP]: add v8.5.0 release notes #19033

qiancai · 2024-11-11T02:40:23Z

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ti-chi-bot · 2024-11-11T03:12:53Z

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releases/release-8.5.0.md

Frank945946 · 2024-11-15T09:57:18Z

releases/release-8.5.0.md

+
+### 可扩展性
+
+* Schema 缓存内存上限功能成为正式功能（GA），减少了大规模数据场景的内存占用 [#50959](https://github.com/pingcap/tidb/issues/50959) @[tiancaiamao](https://github.com/tiancaiamao) @[wjhuang2016](https://github.com/wjhuang2016) @[gmhdbjd](https://github.com/gmhdbjd) @[tangenta](https://github.com/tangenta) tw@hfxsd <!--1976-->


Suggested change

* Schema 缓存内存上限功能成为正式功能（GA），减少了大规模数据场景的内存占用 [#50959](https://github.com/pingcap/tidb/issues/50959) @[tiancaiamao](https://github.com/tiancaiamao) @[wjhuang2016](https://github.com/wjhuang2016) @[gmhdbjd](https://github.com/gmhdbjd) @[tangenta](https://github.com/tangenta) tw@hfxsd 

* Schema 缓存内存上限功能成为正式功能（GA），可以在集群拥有数十万甚至百万个数据库或表的场景中减少内存的使用。 [#50959](https://github.com/pingcap/tidb/issues/50959) @[tiancaiamao](https://github.com/tiancaiamao) @[wjhuang2016](https://github.com/wjhuang2016) @[gmhdbjd](https://github.com/gmhdbjd) @[tangenta](https://github.com/tangenta) tw@hfxsd

releases/release-8.5.0.md

Add GCP KMS content

Co-authored-by: D3Hunter <jujj603@gmail.com>

releases/release-8.5.0.md

…_table

releases/release-8.5.0.md

hfxsd · 2024-11-21T01:51:31Z

releases/release-8.5.0.md

+    <td>提升超大规模集群的稳定性 **tw@hfxsd 1976**</td>
+    <td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>，<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-%E4%BB%8E-v610-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#%E9%80%9A%E8%BF%87-active-pd-follower-%E6%8F%90%E5%8D%87-pd-region-%E4%BF%A1%E6%81%AF%E6%9F%A5%E8%AF%A2%E6%9C%8D%E5%8A%A1%E7%9A%84%E6%89%A9%E5%B1%95%E8%83%BD%E5%8A%9B">Schema 缓存控制</a>Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices#pd-%E5%BE%AE%E6%9C%8D%E5%8A%A1">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-%E4%BB%8E-v840-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#%E6%94%B6%E9%9B%86%E9%83%A8%E5%88%86%E5%88%97%E7%9A%84%E7%BB%9F%E8%AE%A1%E4%BF%A1%E6%81%AF">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>


Suggested change

<td>提升超大规模集群的稳定性 **tw@hfxsd 1976**</td>

<td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>，<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-%E4%BB%8E-v610-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#%E9%80%9A%E8%BF%87-active-pd-follower-%E6%8F%90%E5%8D%87-pd-region-%E4%BF%A1%E6%81%AF%E6%9F%A5%E8%AF%A2%E6%9C%8D%E5%8A%A1%E7%9A%84%E6%89%A9%E5%B1%95%E8%83%BD%E5%8A%9B">Schema 缓存控制</a>Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices#pd-%E5%BE%AE%E6%9C%8D%E5%8A%A1">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-%E4%BB%8E-v840-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#%E6%94%B6%E9%9B%86%E9%83%A8%E5%88%86%E5%88%97%E7%9A%84%E7%BB%9F%E8%AE%A1%E4%BF%A1%E6%81%AF">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>

<td>提升超大规模集群的稳定性 **tw@hfxsd 1976**</td>

<td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>，<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-从-v610-版本开始引入">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#通过-active-pd-follower-提升-pd-region-信息查询服务的扩展能力">Schema 缓存控制</a>Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices#pd-微服务">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-从-v840-版本开始引入">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#收集部分列的统计信息">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>

hfxsd · 2024-11-21T01:54:33Z

releases/release-8.5.0.md

+  <tr>
+    <td rowspan="5">稳定性与高可用</td>
+    <td>提升超大规模集群的稳定性 **tw@hfxsd 1976**</td>
+    <td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-从-v610-版本开始引入">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#通过-active-pd-follower-提升-pd-region-信息查询服务的扩展能力">Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-从-v840-版本开始引入">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#收集部分列的统计信息">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>


Suggested change

<td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-从-v610-版本开始引入">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#通过-active-pd-follower-提升-pd-region-信息查询服务的扩展能力">Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-从-v840-版本开始引入">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#收集部分列的统计信息">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>

<td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。<a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>以及 <a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-从-v610-版本开始引入">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#通过-active-pd-follower-提升-pd-region-信息查询服务的扩展能力">Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-从-v840-版本开始引入">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#收集部分列的统计信息">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>

Co-authored-by: Grace Cai <qqzczy@126.com>

overvenus · 2024-11-21T09:14:11Z

releases/release-8.5.0.md

+  <tr>
+    <td><a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#收集部分列的统计信息">统计信息收集忽略不必要的列</a>（v8.3.0 引入）</td>
+    <td> 在保证优化器能够获取到必要信息的前提下，加快了统计信息收集的速度，提升统计信息的时效性，进而保证选择最优的执行计划，提升集群性能。同时也降低了系统开销，改善了资源利用率。</td>
+  </tr>


Suggested change

</tr>

</tr>

<tr>

<td><a href="https://docs.pingcap.com/zh/tidb/v8.5/tikv-in-memory-engine">MVCC 内存引擎（v8.5.0 引入）</a></td>

<td>MVCC 内存引擎通过将最新的 MVCC 版本缓存在内存中，并通过快速的 GC 机制删除内存中历史版本，从而提升 TiDB 的读性能，降低了 TiKV 扫描请求的 CPU 消耗。在遇到因 GC 时间过长导致 MVCC 版本堆积，影响读性能的时候，你可以开启 MVCC 内存引擎加速查询，提升读性能。</td>

</tr>

releases/release-8.5.0.md

qiancai · 2024-11-22T03:01:54Z

releases/release-8.5.0.md

+
+  从 v8.5.0 开始，这两个加密功能都成为了正式功能 (GA)，进一步增强了客户端数据的安全性。
+
+  更多信息，请参考 [加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data) 和 [加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。


Suggested change

更多信息，请参考 [加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data) 和 [加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。

更多信息，请参考[加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data)和[加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。

hfxsd · 2024-11-22T04:03:32Z

releases/release-8.5.0.md

+</thead>
+<tbody>
+  <tr>
+    <td rowspan="6">可扩展性与性能</td>


Suggested change

<td rowspan="6">可扩展性与性能</td>

<td rowspan="7">可扩展性与性能</td>

qiancai · 2024-11-22T05:34:34Z

releases/release-8.5.0.md

+
+      TiKV 通过静态加密功能对存储的数据进行加密，以确保数据的安全性。静态加密的安全核心点在于密钥管理。在 v8.0.0 中，TiKV 静态加密以实验特性的形式支持了基于 Google Cloud KMS 的主密钥管理。
+
+    从 v8.5.0 起，基于 Google Cloud KMS 的静态加密成为正式功能 (GA）。要启用该功能，你需要在 Google Cloud 上创建一个密钥，然后在 TiKV 配置文件中添加 `[security.encryption.master-key]` 部分的配置。


Suggested change

从 v8.5.0 起，基于 Google Cloud KMS 的静态加密成为正式功能 (GA）。要启用该功能，你需要在 Google Cloud 上创建一个密钥，然后在 TiKV 配置文件中添加 `[security.encryption.master-key]` 部分的配置。

从 v8.5.0 起，基于 Google Cloud KMS 的静态加密成为正式功能 (GA）。要使用该功能，你需要在 Google Cloud 上创建一个密钥，然后在 TiKV 配置文件中添加 `[security.encryption.master-key]` 部分的配置。

releases/release-8.5.0.md

JaySon-Huang · 2024-11-22T08:18:27Z

releases/release-8.5.0.md

+ TiFlash
+
+    - note [#Issue-number](issue-link) @[Contributor-GitHub-ID](id-link)
+    - (dup): release-7.1.6.md > 改进提升> TiFlash - 提升聚簇索引表在后台回收过期数据的速度 [#9529](https://github.com/pingcap/tiflash/issues/9529) @[JaySon-Huang](https://github.com/JaySon-Huang)


Suggested change

- (dup): release-7.1.6.md > 改进提升> TiFlash - 提升聚簇索引表在后台回收过期数据的速度 [#9529](https://github.com/pingcap/tiflash/issues/9529) @[JaySon-Huang](https://github.com/JaySon-Huang)

- (dup): release-7.1.6.md > 改进提升> TiFlash - 提升聚簇索引表在后台回收过期数据的速度 [#9529](https://github.com/pingcap/tiflash/issues/9529) @[JaySon-Huang](https://github.com/JaySon-Huang)

- 更新带有更新数据场景下 Vector Search 的查询性能 [#9599](https://github.com/pingcap/tiflash/issues/9599) @[Lloyd-Pottiger](https://github.com/Lloyd-Pottiger)

- 添加关于构建 Vector Index CPU 使用率的监控指标 [#9032](https://github.com/pingcap/tiflash/issues/9032) @[JaySon-Huang](https://github.com/JaySon-Huang)

- 优化逻辑运算符的执行速度 [#9146](https://github.com/pingcap/tiflash/issues/9146) @[windtalker](https://github.com/windtalker)

JaySon-Huang · 2024-11-22T08:27:07Z

releases/release-8.5.0.md

+ TiFlash
+
+    - note [#Issue-number](issue-link) @[Contributor-GitHub-ID](id-link)
+    - (dup): release-7.1.6.md > 错误修复> TiFlash - 修复 `SUBSTRING()` 函数不支持部分整数类型的 `pos` 和 `len` 参数导致查询报错的问题 [#9473](https://github.com/pingcap/tiflash/issues/9473) @[gengliqi](https://github.com/gengliqi)


Suggested change

- (dup): release-7.1.6.md > 错误修复> TiFlash - 修复 `SUBSTRING()` 函数不支持部分整数类型的 `pos` 和 `len` 参数导致查询报错的问题 [#9473](https://github.com/pingcap/tiflash/issues/9473) @[gengliqi](https://github.com/gengliqi)

- (dup): release-7.1.6.md > 错误修复> TiFlash - 修复 `SUBSTRING()` 函数不支持部分整数类型的 `pos` 和 `len` 参数导致查询报错的问题 [#9473](https://github.com/pingcap/tiflash/issues/9473) @[gengliqi](https://github.com/gengliqi)

- 修复在存算分离架构下，Vector Search 查询性能在 TiFlash write node 扩容之后，可能出现性能下降的问题 [#9637](https://github.com/pingcap/tiflash/issues/9637) @[kolafish](https://github.com/kolafish)

- 修复当 `SUBSTRING` 函数的第二个参数为负数时，可能产生错误结果的问题 [#9604](https://github.com/pingcap/tiflash/issues/9604) @[guo-shaoge](https://github.com/guo-shaoge)

Signed-off-by: Aolin <aolin.zhang@pingcap.com>

ti-chi-bot · 2024-11-22T10:34:34Z

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qiancai added 2 commits November 11, 2024 11:15

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[WIP]: add v8.5.0 release notes #19033

[WIP]: add v8.5.0 release notes #19033

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		### 可扩展性

		* Schema 缓存内存上限功能成为正式功能（GA），减少了大规模数据场景的内存占用 [#50959](https://github.com/pingcap/tidb/issues/50959) @[tiancaiamao](https://github.com/tiancaiamao) @[wjhuang2016](https://github.com/wjhuang2016) @[gmhdbjd](https://github.com/gmhdbjd) @[tangenta](https://github.com/tangenta) tw@hfxsd <!--1976-->

		<td>提升超大规模集群的稳定性 tw@hfxsd 1976</td>
		<td>对于使用 TiDB 运行多租户应用或者 SaaS 应用的公司，经常需要存储大量的表，TiDB 在 v8.5.0 着力增强了大规模集群的稳定性。 <a href="https://docs.pingcap.com/zh/tidb/v8.5/schema-cache">Schema 缓存控制</a>，<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_stats_cache_mem_quota-%E4%BB%8E-v610-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">Stats 缓存控制</a>已经成为正式功能，减少了内存过度消耗带来的稳定性问题。 PD 通过 <a href="https://docs.pingcap.com/zh/tidb/v8.5/tune-region-performance#%E9%80%9A%E8%BF%87-active-pd-follower-%E6%8F%90%E5%8D%87-pd-region-%E4%BF%A1%E6%81%AF%E6%9F%A5%E8%AF%A2%E6%9C%8D%E5%8A%A1%E7%9A%84%E6%89%A9%E5%B1%95%E8%83%BD%E5%8A%9B">Schema 缓存控制</a>Active Follower</a> 应对大量 Region 带来的压力，并<a href="https://docs.pingcap.com/zh/tidb/v8.5/pd-microservices#pd-%E5%BE%AE%E6%9C%8D%E5%8A%A1">将 PD 所承担的服务逐步解耦</a>，独立部署。通过<a href="https://docs.pingcap.com/zh/tidb/v8.5/system-variables#tidb_auto_analyze_concurrency-%E4%BB%8E-v840-%E7%89%88%E6%9C%AC%E5%BC%80%E5%A7%8B%E5%BC%95%E5%85%A5">增加并发度</a>，以及<a href="https://docs.pingcap.com/zh/tidb/v8.5/statistics#%E6%94%B6%E9%9B%86%E9%83%A8%E5%88%86%E5%88%97%E7%9A%84%E7%BB%9F%E8%AE%A1%E4%BF%A1%E6%81%AF">减少收集对象的数量</a>，统计信息收集和加载效率得到提升，保证了大集群执行计划的稳定性。</td>

-  </tr>
+  </tr>
+  <tr>
+    <td><a href="https://docs.pingcap.com/zh/tidb/v8.5/tikv-in-memory-engine">MVCC 内存引擎（v8.5.0 引入）</a></td>
+    <td>MVCC 内存引擎通过将最新的 MVCC 版本缓存在内存中，并通过快速的 GC 机制删除内存中历史版本，从而提升 TiDB 的读性能，降低了 TiKV 扫描请求的 CPU 消耗。在遇到因 GC 时间过长导致 MVCC 版本堆积，影响读性能的时候，你可以开启 MVCC 内存引擎加速查询，提升读性能。</td>
+  </tr>


		从 v8.5.0 开始，这两个加密功能都成为了正式功能 (GA)，进一步增强了客户端数据的安全性。

		更多信息，请参考 [加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data) 和 [加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。

	更多信息，请参考 [加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data) 和 [加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。
	更多信息，请参考[加密备份数据](/br/br-snapshot-manual.md#encrypt-the-backup-data)和[加密日志备份数据](/br/br-pitr-manual.md#encrypt-the-log-backup-data)。

	<td rowspan="6">可扩展性与性能</td>
	<td rowspan="7">可扩展性与性能</td>


		TiKV 通过静态加密功能对存储的数据进行加密，以确保数据的安全性。静态加密的安全核心点在于密钥管理。在 v8.0.0 中，TiKV 静态加密以实验特性的形式支持了基于 Google Cloud KMS 的主密钥管理。

		从 v8.5.0 起，基于 Google Cloud KMS 的静态加密成为正式功能 (GA）。要启用该功能，你需要在 Google Cloud 上创建一个密钥，然后在 TiKV 配置文件中添加 `[security.encryption.master-key]` 部分的配置。

-    - (dup): release-7.1.6.md > 改进提升> TiFlash - 提升聚簇索引表在后台回收过期数据的速度 [#9529](https://github.com/pingcap/tiflash/issues/9529) @[JaySon-Huang](https://github.com/JaySon-Huang)
+    - (dup): release-7.1.6.md > 改进提升> TiFlash - 提升聚簇索引表在后台回收过期数据的速度 [#9529](https://github.com/pingcap/tiflash/issues/9529) @[JaySon-Huang](https://github.com/JaySon-Huang)
+    - 更新带有更新数据场景下 Vector Search 的查询性能 [#9599](https://github.com/pingcap/tiflash/issues/9599) @[Lloyd-Pottiger](https://github.com/Lloyd-Pottiger)
+    - 添加关于构建 Vector Index CPU 使用率的监控指标 [#9032](https://github.com/pingcap/tiflash/issues/9032) @[JaySon-Huang](https://github.com/JaySon-Huang)
+    - 优化逻辑运算符的执行速度 [#9146](https://github.com/pingcap/tiflash/issues/9146) @[windtalker](https://github.com/windtalker)

[WIP]: add v8.5.0 release notes #19033

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qiancai commented Nov 11, 2024

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