From d20c4b1e7349e6d2fe84768c8fdabf58038b7f64 Mon Sep 17 00:00:00 2001 From: dongmen <20351731+asddongmen@users.noreply.github.com> Date: Wed, 8 Nov 2023 16:02:14 +0800 Subject: [PATCH 1/5] ticdc: remove source id desciption (#15392) --- ticdc/ticdc-bidirectional-replication.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/ticdc/ticdc-bidirectional-replication.md b/ticdc/ticdc-bidirectional-replication.md index 5f0f3d837dd48..263c63b1387c6 100644 --- a/ticdc/ticdc-bidirectional-replication.md +++ b/ticdc/ticdc-bidirectional-replication.md @@ -32,8 +32,6 @@ TiCDC 复制功能只会将指定时间点之后的增量变更复制到下游 bdr-mode = true ``` -5. (可选)如果需要追踪数据写入源,可以使用 TiDB 系统变量 [`tidb_source_id`](/system-variables.md#tidb_source_id-从-v650-版本开始引入) 为集群设置不同的数据源 ID。 - 这样,以上搭建好的集群即可对数据进行双向复制。 ## 执行 DDL From a0c01616f6ff24ca7f43b04ec3b156bee2fcde7a Mon Sep 17 00:00:00 2001 From: Grace Cai Date: Wed, 8 Nov 2023 17:06:43 +0800 Subject: [PATCH 2/5] fix the operator info (#15393) --- correlated-subquery-optimization.md | 2 +- explain-subqueries.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/correlated-subquery-optimization.md b/correlated-subquery-optimization.md index 59932fe2bb4cb..099b87868c468 100644 --- a/correlated-subquery-optimization.md +++ b/correlated-subquery-optimization.md @@ -101,4 +101,4 @@ explain select * from t1 where t1.a < (select sum(t2.a) from t2 where t2.b = t1. +------------------------------------------+-----------+-----------+------------------------+--------------------------------------------------------------------------------------+ ``` -在执行了关闭关联规则的语句后,可以在 `IndexRangeScan_25(Build)` 的 `operator info` 中看到 `range: decided by [eq(test.t2.b, test.t1.b)]`。这部分信息就是关联依赖未被解除时,TiDB 使用关联条件进行索引范围查询的显示结果。 +在执行了关闭关联规则的语句后,可以在 `IndexRangeScan_42(Build)` 的 `operator info` 中看到 `range: decided by [eq(test.t2.b, test.t1.b)]`。这部分信息就是关联依赖未被解除时,TiDB 使用关联条件进行索引范围查询的显示结果。 diff --git a/explain-subqueries.md b/explain-subqueries.md index ca8e32d641817..74b1a97f9257b 100644 --- a/explain-subqueries.md +++ b/explain-subqueries.md @@ -68,7 +68,7 @@ EXPLAIN SELECT * FROM t1 WHERE id IN (SELECT t1_id FROM t2); ``` -由上述查询结果可知,TiDB 通过索引连接操作 `| IndexJoin_14` 将子查询做了连接转化。该执行计划首先在 TiKV 侧通过索引扫描算子 `└─IndexFullScan_31` 读取 `t2.t1_id` 列的值,然后由 `└─StreamAgg_39` 算子的部分任务在 TiKV 中对 `t1_id` 值进行去重,然后采用 `├─StreamAgg_49(Build)` 算子的部分任务在 TiDB 中对 `t1_id` 值再次进行去重,去重操作由聚合函数 `firstrow(test.t2.t1_id)` 执行;之后将操作结果与 `t1` 表的主键相连接,连接条件是 `eq(test.t1.id, test.t2.t1_id)`。 +由上述查询结果可知,TiDB 通过索引连接操作 `IndexJoin_15` 将子查询做了连接转化。该执行计划首先在 TiKV 侧通过索引扫描算子 `└─IndexFullScan_26` 读取 `t2.t1_id` 列的值,然后由 `└─StreamAgg_34` 算子的部分任务在 TiKV 中对 `t1_id` 值进行去重,然后采用 `├─StreamAgg_44(Build)` 算子的部分任务在 TiDB 中对 `t1_id` 值再次进行去重,去重操作由聚合函数 `firstrow(test.t2.t1_id)` 执行;之后将操作结果与 `t1` 表的主键相连接,连接条件是 `eq(test.t1.id, test.t2.t1_id)`。 ## Inner join(有 `UNIQUE` 约束的子查询) From b88ab61fabbfd6412ef2c08e92dce14bfa1fdfe4 Mon Sep 17 00:00:00 2001 From: Aolin Date: Thu, 9 Nov 2023 10:45:42 +0800 Subject: [PATCH 3/5] server recommendations: add a note for production environment (#15390) --- hardware-and-software-requirements.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hardware-and-software-requirements.md b/hardware-and-software-requirements.md index 950e41ff80e83..92f79fe654889 100644 --- a/hardware-and-software-requirements.md +++ b/hardware-and-software-requirements.md @@ -118,7 +118,7 @@ TiDB 支持部署和运行在 Intel x86-64 架构的 64 位通用硬件服务器 > **注意:** > > - 生产环境中的 TiDB 和 PD 可以部署和运行在同一台服务器上,如对性能和可靠性有更高的要求,应尽可能分开部署。 -> - 生产环境强烈推荐使用更高的配置。 +> - 强烈建议分别为生产环境中的 TiDB、TiKV 和 TiFlash 配置至少 8 核的 CPU。强烈推荐使用更高的配置,以获得更好的性能。 > - TiKV 硬盘大小配置建议 PCIe SSD 不超过 4 TB,普通 SSD 不超过 1.5 TB。 > - TiFlash 支持[多盘部署](/tiflash/tiflash-configuration.md#多盘部署)。 > - TiFlash 数据目录的第一块磁盘推荐用高性能 SSD 来缓冲 TiKV 同步数据的实时写入,该盘性能应不低于 TiKV 所使用的磁盘,比如 PCIe SSD。并且该磁盘容量建议不小于总容量的 10%,否则它可能成为这个节点的能承载的数据量的瓶颈。而其他磁盘可以根据需求部署多块普通 SSD,当然更好的 PCIe SSD 硬盘会带来更好的性能。 From bf686f16a83e47b1a3a3a0dea3407cbf2a673189 Mon Sep 17 00:00:00 2001 From: Aolin Date: Thu, 9 Nov 2023 11:35:12 +0800 Subject: [PATCH 4/5] tikv: add the user's guide of stale read and safe ts (#15365) --- TOC.md | 1 + grafana-tidb-dashboard.md | 15 +- grafana-tikv-dashboard.md | 14 ++ media/stale-read/example-ops.png | Bin 0 -> 51611 bytes media/stale-read/example-ts-gap.png | Bin 0 -> 146635 bytes media/stale-read/metrics-hit-miss.png | Bin 0 -> 703102 bytes media/stale-read/metrics-ops.png | Bin 0 -> 742762 bytes media/stale-read/traffic.png | Bin 0 -> 784970 bytes releases/release-6.5.4.md | 2 +- releases/release-7.1.2.md | 2 +- releases/release-7.3.0.md | 2 +- stale-read.md | 2 + tikv-control.md | 37 ++++ troubleshoot-stale-read.md | 237 ++++++++++++++++++++++++++ 14 files changed, 307 insertions(+), 5 deletions(-) create mode 100644 media/stale-read/example-ops.png create mode 100644 media/stale-read/example-ts-gap.png create mode 100644 media/stale-read/metrics-hit-miss.png create mode 100644 media/stale-read/metrics-ops.png create mode 100644 media/stale-read/traffic.png create mode 100644 troubleshoot-stale-read.md diff --git a/TOC.md b/TOC.md index f6901ab5d6189..3d3345bfc43f1 100644 --- a/TOC.md +++ b/TOC.md @@ -222,6 +222,7 @@ - [使用 Top SQL 定位系统资源消耗过多的查询](/dashboard/top-sql.md) - [通过日志定位消耗系统资源多的查询](/identify-expensive-queries.md) - [保存和恢复集群现场信息](/sql-plan-replayer.md) + - [理解 TiKV 中的 Stale Read 和 safe-ts](/troubleshoot-stale-read.md) - [获取支持](/support.md) - 性能调优 - 优化手册 diff --git a/grafana-tidb-dashboard.md b/grafana-tidb-dashboard.md index c903a9fbb7cb8..53f74129fc773 100644 --- a/grafana-tidb-dashboard.md +++ b/grafana-tidb-dashboard.md @@ -109,11 +109,22 @@ aliases: ['/docs-cn/dev/grafana-tidb-dashboard/','/docs-cn/dev/reference/key-mon ### KV Request +下面的监控指标与发送给 TiKV 的请求相关。重试请求会被多次计数。 + - KV Request OPS:KV Request 根据 TiKV 显示执行次数 - KV Request Duration 99 by store:根据 TiKV 显示 KV Request 执行时间 - KV Request Duration 99 by type:根据类型显示 KV Request 的执行时间 -- Stale Read OPS:每秒执行的 Stale Read 的数量,根据结果分为 hit 和 miss 进行统计 -- Stale Read Traffic:Stale Read 消耗的流量,根据结果分为 hit 和 miss 进行统计 +- Stale Read Hit/Miss Ops + - **hit**:每秒成功执行 Stale Read 的请求数量 + - **miss**:每秒尝试执行 Stale Read 但失败的请求数量 +- Stale Read Req Ops + - **cross-zone**:每秒尝试在远程可用区执行 Stale Read 的请求数量 + - **local**:每秒尝试在本地可用区执行 Stale Read 的请求数量 +- Stale Read Req Traffic + - **cross-zone-in**:尝试在远程可用区执行 Stale Read 的请求的响应的传入流量 + - **cross-zone-out**:尝试在远程可用区执行 Stale Read 的请求的响应的传出流量 + - **local-in**:尝试在本地可用区执行 Stale Read 的请求的响应的传入流量 + - **local-out**:尝试在本地可用区执行 Stale Read 的请求的响应的传出流量 ### PD Client diff --git a/grafana-tikv-dashboard.md b/grafana-tikv-dashboard.md index a0b87e75afe86..603ecaf3383bb 100644 --- a/grafana-tikv-dashboard.md +++ b/grafana-tikv-dashboard.md @@ -404,6 +404,20 @@ aliases: ['/docs-cn/dev/grafana-tikv-dashboard/','/docs-cn/dev/reference/key-mon - Total pessimistic locks memory size:内存悲观锁占用内存的总大小 - In-memory pessimistic locking result:将悲观锁仅保存到内存的结果,其中 full 表示因为超过内存限制而无法将悲观锁保存至内存的次数 +### Resolved-TS + +- Resolved-TS worker CPU:resolved-ts worker 线程的 CPU 使用率 +- Advance-TS worker CPU:advance-ts worker 线程的 CPU 使用率 +- Scan lock worker CPU:scan lock worker 线程的 CPU 使用率 +- Max gap of resolved-ts:在当前 TiKV 中,所有活跃 Region 的 resolved-ts 与当前时间的最大差值 +- Max gap of safe-ts:在当前 TiKV 中,所有活跃 Region 的 safe-ts 与当前时间的最大差值 +- Min Resolved TS Region:resolved-ts 最小的 Region 的 ID +- Min Safe TS Region:safe-ts 最小的 Region 的 ID +- Check Leader Duration:处理 leader 请求所花费的时间的直方图,从发送请求到接收到 leader 的响应 +- Max gap of resolved-ts in Region leaders:在当前 TiKV 中,所有活跃 Region 的 resolved-ts 与当前时间的最大差值,只包含 Region leader +- Min Leader Resolved TS Region:resolved-ts 最小的 Region 的 ID,只包含 Region leader +- Lock heap 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z0_Q@--}oHVq?w-4C$uN8D`E0l_zrSl`XkHL>1(gt@5zBcjldC&e|Xq-1Y%tAP!jRx zal7)mRhkJ)9*jRt1cFhCXF|aSM%Dp_^PIufg6{sVgqa;0^aSZW&=!Q}Svpb!f{u7#!%^yKF6)XJd~>e^`sT(`2<6uY z&qW*vpP{be9yWD(CkHYVY1#sgMvv~uuh~>tv{@HX!pB!yyy0n{r)#Xvc#2HNv>^Va zYGA`zGPOIXx*bwF-Z(oj;#?4qJUJura^?-yWoGC2R)ZY0Px2clYvQ>)F@z`u)CR%D z6eA*L)4MiomwMSkp;GHi?pRp-xGKq$g-mMMtTbOxW-X`5g2aCWQoL9<9nCo}gc(x> z=0o!TGya^2ZsT!q^j<-oobB?88m?a!=cn%UYowi)EB-?$XM|?6D~>*yg$UDVS=x$| zr@`*|WTVevWI4x^JWmhHz0SJ+sI`^bEq?A+_uCMsY5CRLQCFdHNg$sfDc^{h2go}x z1($OF!%HLm`b;U%%Y~S$HMdK>^0&ecq{J#O0p456MsL_%kXY3xm@lUBk~4D&>F#WUi>-tHF zM1h%a~lJRXRTA!W#NI7d_KRjsJ8G;~_cf+i6oZQs5VDe8Mji?0Y4u_xP > 调小该参数会增加 TiKV CPU 使用率和各节点之间的流量。 +关于 Resolved TS 的内部原理和诊断方法,请参阅[理解 TiKV 中的 Stale Read 和 safe-ts](/troubleshoot-stale-read.md)。 + ## 限制 当对表的 Stale Read 查询下推到 TiFlash 时,如果该表在 Stale Read 所指定的读取时间戳之后执行过 DDL 操作,此查询将会报错。原因是 TiFlash 只支持从最新的表结构读取数据。 diff --git a/tikv-control.md b/tikv-control.md index 1a14dc53fe0fe..d7e0aff6259ba 100644 --- a/tikv-control.md +++ b/tikv-control.md @@ -667,3 +667,40 @@ corruption analysis has completed + 在 `sst meta` 输出部分,`14` 表示 SST 文件号,`552997` 表示文件大小,紧随其后的是最小和最大的序列号 (seq) 等其它元信息。 + `overlap region` 部分为损坏 SST 文件所在 Region 的信息。该信息是从 PD 组件获取的。 + `suggested operations` 部分为你清理损坏的 SST 文件提供建议操作。你可以参考这些建议的命令,清理文件,并重新启动该 TiKV 实例。 + +### 获取一个 Region 的 `RegionReadProgress` 状态 + +从 v6.5.4 和 v7.3.0 开始,TiKV 引入 `get-region-read-progress` 子命令,用于获取 resolver 和 `RegionReadProgress` 的最新状态。你需要指定一个 Region ID 和一个 TiKV,这可以从 Grafana(`Min Resolved TS Region` 和 `Min Safe TS Region`)或 `DataIsNotReady` 日志中获得。 + +- `--log`(可选):如果指定,TiKV 会在 `INFO` 日志级别下记录该 TiKV 中 Region 的 resolver 中最小的锁 `start_ts`。该选项有助于提前识别可能阻塞 resolved-ts 的锁。 + +- `--min-start-ts`(可选):如果指定,TiKV 会在日志中过滤掉 `start_ts` 小于该值的锁。你可以使用该选项指定一个感兴趣的事务,以便在日志中记录。默认值为 `0`,表示不过滤。 + +下面是一个使用示例: + +``` +./tikv-ctl --host 127.0.0.1:20160 get-region-read-progress -r 14 --log --min-start-ts 0 +``` + +输出结果如下: + +``` +Region read progress: + exist: true, + safe_ts: 0, + applied_index: 92, + pending front item (oldest) ts: 0, + pending front item (oldest) applied index: 0, + pending back item (latest) ts: 0, + pending back item (latest) applied index: 0, + paused: false, +Resolver: + exist: true, + resolved_ts: 0, + tracked index: 92, + number of locks: 0, + number of transactions: 0, + stopped: false, +``` + +该子命令有助于诊断与 Stale Read 和 safe-ts 相关的问题。详情请参阅[理解 TiKV 中的 Stale Read 和 safe-ts](/troubleshoot-stale-read.md)。 diff --git a/troubleshoot-stale-read.md b/troubleshoot-stale-read.md new file mode 100644 index 0000000000000..0b16259a7f80e --- /dev/null +++ b/troubleshoot-stale-read.md @@ -0,0 +1,237 @@ +--- +title: 理解 TiKV 中的 Stale Read 和 safe-ts +summary: 介绍 TiKV 中 Stale Read 和 safe-ts 的原理,并提供故障诊断建议和示例以诊断与 Stale Read 相关的常见问题。 +--- + +# 理解 TiKV 中的 Stale Read 和 safe-ts + +在本文档中,你可以了解 TiKV 中 Stale Read 和 safe-ts 的原理以及如何诊断与 Stale Read 相关的常见问题。 + +## Stale Read 和 safe-ts 概述 + +[Stale Read](/stale-read.md) 是一种读取历史数据版本的机制,读取 TiDB 中存储的历史数据版本。在 TiKV 中,Stale Read 依赖 [safe-ts](#什么是-safe-ts)。如果一个 Region peer 上的读请求的时间戳 (timestamp, ts) 小于等于 Region 的 safe-ts,TiDB 可以安全地从 peer 上读取数据。TiKV 通过保证 safe-ts 总是小于等于 [resolved-ts](#什么是-resolved-ts) 来保证这种安全性。 + +## 理解 safe-ts 和 resolved-ts + +本章节介绍 safe-ts 和 resolved-ts 的概念和维护方式。 + +### 什么是 safe-ts? + +safe-ts 是一个由 Region 中的每个 peer 维护的时间戳,它保证所有时间戳小于等于 safe-ts 的事务已经被 peer apply,从而实现本地 Stale Read。 + +### 什么是 resolved-ts? + +resolved-ts 是一个时间戳,它保证所有时间戳小于该值的事务已经被 leader apply。与 safe-ts 不同,resolved-ts 只由 Region leader 维护。Follower 可能有一个比 leader 更小的 apply index,因此 resolved-ts 不能直接被当作 safe-ts。 + +### safe-ts 的维护 + +`RegionReadProgress` 模块维护 safe-ts。Region leader 维护 resolved-ts,并定期通过 CheckLeader RPC 将 resolved-ts、最小的(使 resolved-ts 生效的)apply index和 Region 本身发送给所有副本的 `RegionReadProgerss` 模块。 + +当一个 peer apply 数据时,它会更新 apply index,并检查是否有 pending resolved-ts 可以成为新的 safe-ts。 + +### resolved-ts 的维护 + +Region leader 使用一个 resolver 来管理 resolved-ts。该 resolver 通过接收 Raft apply 时的变更日志来跟踪 LOCK CF (Column Family) 中的锁。当初始化时,resolver 会扫描整个 Region 来跟踪锁。 + +## 诊断 Stale Read 问题 + +本章节介绍如何使用 Grafana、`tikv-ctl` 和日志诊断 Stale Read 问题。 + +### 识别问题 + +在 [Grafana > TiDB dashboard > **KV Request** 监控面板](/grafana-tidb-dashboard.md#kv-request)中,以下面板显示了 Stale Read 的命中率、OPS 和流量: + +![Stale Read Hit/Miss OPS](/media/stale-read/metrics-hit-miss.png) + +![Stale Read Req OPS](/media/stale-read/metrics-ops.png) + +![Stale Read Req Traffic](/media/stale-read/traffic.png) + +关于上述监控项的更多信息,参考 [TiDB 监控指标](/grafana-tidb-dashboard.md#kv-request)。 + +当 Stale Read 问题发生时,你可能会注意到上述监控项的变化。最直接的指标是 TiDB 的 WARN 日志,它会报告 `DataIsNotReady` 和 Region ID,以及它遇到的 `safe-ts`。 + +### 常见原因 + +下面是影响 Stale Read 有效性的常见原因: + +- 事务提交时间过长。 +- 事务在提交前存在太长时间。 +- 从 leader 到 follower 推送 CheckLeader 信息的延迟。 + +### 使用 Grafana 诊断 + +在 [**TiKV-Details** > **Resolved-TS** 监控面板](/grafana-tikv-dashboard.md#resolved-ts)中,你可以识别每个 TiKV 上 resolved-ts 和 safe-ts 最小的 Region。如果这些时间戳明显落后于实时时间,你需要使用 `tikv-ctl` 检查这些 Region 的详细信息。 + +### 使用 `tikv-ctl` 诊断 + +`tikv-ctl` 提供了 resolver 和 `RegionReadProgress` 的最新详细信息。更多信息,参考[获取 Region 的 `RegionReadProgress` 状态](/tikv-control.md#获取一个-region-的-regionreadprogress-状态)。 + +下面是一个使用示例: + +```bash +./tikv-ctl --host 127.0.0.1:20160 get-region-read-progress -r 14 --log --min-start-ts 0 +``` + +输出结果如下: + +```log +Region read progress: + exist: true, + safe_ts: 0, + applied_index: 92, + pending front item (oldest) ts: 0, + pending front item (oldest) applied index: 0, + pending back item (latest) ts: 0, + pending back item (latest) applied index: 0, + paused: false, +Resolver: + exist: true, + resolved_ts: 0, + tracked index: 92, + number of locks: 0, + number of transactions: 0, + stopped: false, +``` + +上面的输出结果可以帮助你判断: + +- 锁是否阻塞了 resolved-ts。 +- apply index 是否太小而无法更新 safe-ts。 +- 当存在 follower peer 时,leader 是否发送了更新的 resolved-ts。 + +### 使用日志诊断 + +TiKV 每 10 秒检查以下监控项: + +- resolved-ts 最小的 Region leader +- resolved-ts 最小的 Region follower +- safe-ts 最小的 Region follower + +如果这些时间戳中的任何一个异常地小,TiKV 就会打印日志。 + +当你想要诊断一个已经不存在的历史问题时,这些日志尤其有用。 + +下面是日志的示例: + +```log +[2023/08/29 16:48:18.118 +08:00] [INFO] [endpoint.rs:505] ["the max gap of leader resolved-ts is large"] [last_resolve_attempt="Some(LastAttempt { success: false, ts: TimeStamp(443888082736381953), reason: \"lock\", lock: Some(7480000000000000625F728000000002512B5C) })"] [duration_to_last_update_safe_ts=10648ms] [min_memory_lock=None] [txn_num=0] [lock_num=0] [min_lock=None] [safe_ts=443888117326544897] [gap=110705ms] [region_id=291] + +[2023/08/29 16:48:18.118 +08:00] [INFO] [endpoint.rs:526] ["the max gap of follower safe-ts is large"] [oldest_candidate=None] [latest_candidate=None] [applied_index=3276] [duration_to_last_consume_leader=11460ms] [resolved_ts=443888117117353985] [safe_ts=443888117117353985] [gap=111503ms] [region_id=273] + +[2023/08/29 16:48:18.118 +08:00] [INFO] [endpoint.rs:547] ["the max gap of follower resolved-ts is large; it's the same region that has the min safe-ts"] +``` + +## 诊断建议 + +### 处理慢事务提交 + +提交时间长的事务通常是大事务。这个慢事务的 prewrite 阶段会留下一些锁,但是在 commit 阶段清理掉锁之前需要很长时间。为了解决这个问题,你可以尝试识别锁所属的事务,并找出它们存在的原因,例如使用日志。 + +下面是一些你可以采取的措施: + +- 在 `tikv-ctl` 命令中指定 `--log` 选项,并在 TiKV 日志中通过 start_ts 查找相应的锁。 +- 在 TiDB 和 TiKV 日志中搜索 start_ts,以识别事务的问题。 + + 如果一个查询花费超过 60 秒,就会打印一个带有 SQL 语句的 `expensive_query` 日志。你可以使用 start_ts 值匹配日志。下面是一个示例: + + ```log + [2023/07/17 19:32:09.403 +08:00] [WARN] [expensivequery.go:145] [expensive_query] [cost_time=60.025022732s] [cop_time=0.00346666s] [process_time=8.358409508s] [wait_time=0.013582596s] [request_count=278] [total_keys=9943616] [process_keys=9943360] [num_cop_tasks=278] [process_avg_time=0.030066221s] [process_p90_time=0.045296042s] [process_max_time=0.052828934s] [process_max_addr=192.168.31.244:20160] [wait_avg_time=0.000048858s] [wait_p90_time=0.00006057s] [wait_max_time=0.00040991s] [wait_max_addr=192.168.31.244:20160] [stats=t:442916666913587201] [conn=2826881778407440457] [user=root] [database=test] [table_ids="[100]"] [**txn_start_ts**=442916790435840001] [mem_max="2514229289 Bytes (2.34 GB)"] [sql="update t set b = b + 1"] + ``` + +- 如果你无法从日志中获取关于锁的足够信息,可以使用 [`CLUSTER_TIDB_TRX`](/information-schema/information-schema-tidb-trx.md#cluster_tidb_trx) 表查找活跃的事务。 +- 执行 [`SHOW PROCESSLIST`](/sql-statements/sql-statement-show-processlist.md) 查看当前连接到同一个 TiDB 服务器的会话及其在当前语句上花费的时间。但是它不会显示 start_ts。 + +如果锁是由于正在进行的大事务而存在的,考虑修改你的应用程序逻辑,因为这些锁会阻碍 resolve-ts 的进度。 + +如果锁不属于任何正在进行的事务,可能是由于协调器 (TiDB) 在预写锁之后崩溃。在这种情况下,TiDB 会自动解决锁。除非问题持续存在,否则不需要采取任何措施。 + +### 处理长事务 + +长时间保持活跃的事务,即使最终提交了,也可能会阻塞 resolved-ts 的进度。这是因为这些长期存在的事务的 start-ts 用于计算 resolved-ts。 + +要解决这个问题,你可以: + +- 识别事务:首先识别与锁相关的事务,了解它们存在的原因。你可以使用日志帮助识别。 + +- 检查应用程序逻辑:如果长时间的事务持续时间是由于应用程序逻辑导致的,考虑修改应用程序以防止这种情况发生。 + +- 处理慢查询:如果事务的持续时间由于慢查询而延长,优先解决这些查询以缓解问题。 + +### 解决 CheckLeader 问题 + +为了解决 CheckLeader 问题,你可以检查网络和 [**TiKV-Details** > **Resolved-TS** 监控面板](/grafana-tikv-dashboard.md#resolved-ts)中的 **Check Leader Duration** 指标。 + +## 示例 + +如果你观察到 **Stale Read OPS** 的 miss rate 增加,如下所示: + +![Example: Stale Read OPS](/media/stale-read/example-ops.png) + +首先,你可以检查 [**TiKV-Details** > **Resolved-TS** 监控面板](/grafana-tikv-dashboard.md#resolved-ts)中的 **Max Resolved TS gap** 和 **Min Resolved TS Region** 指标: + +![Example: Max Resolved TS gap](/media/stale-read/example-ts-gap.png) + +从上述指标中,你可以发现 Region `3121` 和其他一些 Region 没有及时更新 resolved-ts。 + +为了获取 Region `3121` 的更多详细信息,你可以执行以下命令: + +```bash +./tikv-ctl --host 127.0.0.1:20160 get-region-read-progress -r 3121 --log +``` + +输出结果如下: + +```log +Region read progress: + exist: true, + safe_ts: 442918444145049601, + applied_index: 2477, + read_state.ts: 442918444145049601, + read_state.apply_index: 1532, + pending front item (oldest) ts: 0, + pending front item (oldest) applied index: 0, + pending back item (latest) ts: 0, + pending back item (latest) applied index: 0, + paused: false, + discarding: false, +Resolver: + exist: true, + resolved_ts: 442918444145049601, + tracked index: 2477, + number of locks: 480000, + number of transactions: 1, + stopped: false, +``` + +值得注意的是,`applied_index` 等于 resolver 中的 `tracked index`,均为 `2477`。因此,resolver 可能是这个问题的根源。你还可以看到,有 1 个事务在这个 Region 中留下了 480000 个锁,这可能是问题的原因。 + +为了获取确切的事务和一些锁的 keys,你可以检查 TiKV 日志并搜索 `locks with`。输出结果如下: + +```log +[2023/07/17 21:16:44.257 +08:00] [INFO] [resolver.rs:213] ["locks with the minimum start_ts in resolver"] [keys="[74800000000000006A5F7280000000000405F6, ... , 74800000000000006A5F72800000000000EFF6, 74800000000000006A5F7280000000000721D9, 74800000000000006A5F72800000000002F691]"] [start_ts=442918429687808001] [region_id=3121] +``` + +从 TiKV 日志中,你可以获取事务的 start_ts,即 `442918429687808001`。为了获取关于语句和事务的更多信息,你可以在 TiDB 日志中搜索这个时间戳。找到结果如下: + +```log +[2023/07/17 21:16:18.287 +08:00] [INFO] [2pc.go:685] ["[BIG_TXN]"] [session=2826881778407440457] ["key sample"=74800000000000006a5f728000000000000000] [size=319967171] [keys=10000000] [puts=10000000] [dels=0] [locks=0] [checks=0] [txnStartTS=442918429687808001] + +[2023/07/17 21:16:22.703 +08:00] [WARN] [expensivequery.go:145] [expensive_query] [cost_time=60.047172498s] [cop_time=0.004575113s] [process_time=15.356963423s] [wait_time=0.017093811s] [request_count=397] [total_keys=20000398] [process_keys=10000000] [num_cop_tasks=397] [process_avg_time=0.038682527s] [process_p90_time=0.082608262s] [process_max_time=0.116321331s] [process_max_addr=192.168.31.244:20160] [wait_avg_time=0.000043057s] [wait_p90_time=0.00004007s] [wait_max_time=0.00075014s] [wait_max_addr=192.168.31.244:20160] [stats=t:442918428521267201] [conn=2826881778407440457] [user=root] [database=test] [table_ids="[106]"] [txn_start_ts=442918429687808001] [mem_max="2513773983 Bytes (2.34 GB)"] [sql="update t set b = b + 1"] +``` + +接着,你可以基本定位导致问题的语句。为了进一步检查,你可以执行 [`SHOW PROCESSLIST`](/sql-statements/sql-statement-show-processlist.md) 语句。输出结果如下: + +```sql ++---------------------+------+---------------------+--------+---------+------+------------+---------------------------+ +| Id | User | Host | db | Command | Time | State | Info | ++---------------------+------+---------------------+--------+---------+------+------------+---------------------------+ +| 2826881778407440457 | root | 192.168.31.43:58641 | test | Query | 48 | autocommit | update t set b = b + 1 | +| 2826881778407440613 | root | 127.0.0.1:45952 | test | Execute | 0 | autocommit | select * from t where a=? | +| 2826881778407440619 | root | 192.168.31.43:60428 | | Query | 0 | autocommit | show processlist | ++---------------------+------+---------------------+--------+---------+------+------------+---------------------------+ +``` + +输出结果显示,有程序正在执行一个意外的 `UPDATE` 语句 (`update t set b = b + 1`),这导致了一个大事务并阻塞了 Stale Read。 + +你可以停止执行这个 `UPDATE` 语句的应用程序来解决这个问题。 From ba508ecb7fe5beab2301ce0b1ac68d6f5fbd8640 Mon Sep 17 00:00:00 2001 From: xixirangrang Date: Thu, 9 Nov 2023 13:36:42 +0800 Subject: [PATCH 5/5] Add a new doc about TSO (#15347) --- TOC.md | 1 + tso.md | 96 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 97 insertions(+) create mode 100644 tso.md diff --git a/TOC.md b/TOC.md index 3d3345bfc43f1..ca9808ef3b6f9 100644 --- a/TOC.md +++ b/TOC.md @@ -635,6 +635,7 @@ - [存储](/tidb-storage.md) - [计算](/tidb-computing.md) - [调度](/tidb-scheduling.md) + - [TSO](/tso.md) - 存储引擎 TiKV - [TiKV 简介](/tikv-overview.md) - [RocksDB 简介](/storage-engine/rocksdb-overview.md) diff --git a/tso.md b/tso.md new file mode 100644 index 0000000000000..813cbd35d3369 --- /dev/null +++ b/tso.md @@ -0,0 +1,96 @@ +--- +title: TiDB 中的 TimeStamp Oracle (TSO) +summary: 了解 TiDB 中的 TimeStamp Oracle (TSO)。 +--- + +# TiDB 中的 TimeStamp Oracle (TSO) + +在 TiDB 中,Placement Driver (PD) 承担着 TSO 时间戳分配器的角色,负责为集群内各组件分配时间戳。这些时间戳用于为事务和数据分配时间标记。该分配机制对于在 TiDB 中启用 [Percolator](https://research.google.com/pubs/pub36726.html) 模型至关重要。Percolator 模型用于支持多版本并发控制(Multi-Version Concurrency Control, MVCC)和[事务管理](/transaction-overview.md)。 + +下面示例显示了如何获取 TiDB 当前的 TSO: + +```sql +BEGIN; SET @ts := @@tidb_current_ts; ROLLBACK; +Query OK, 0 rows affected (0.0007 sec) +Query OK, 0 rows affected (0.0002 sec) +Query OK, 0 rows affected (0.0001 sec) + +SELECT @ts; ++--------------------+ +| @ts | ++--------------------+ +| 443852055297916932 | ++--------------------+ +1 row in set (0.00 sec) +``` + +注意由于 TSO 时间戳是按事务分配的,所以需要从包含 `BEGIN; ...; ROLLBACK` 的事务中获取时间戳。 + +从上例中得到的 TSO 时间戳是一个十进制数。你可以使用以下 SQL 函数来解析时间戳: + +- [`TIDB_PARSE_TSO()`](/functions-and-operators/tidb-functions.md#tidb_parse_tso) +- [`TIDB_PARSE_TSO_LOGICAL()`](/functions-and-operators/tidb-functions.md) + +```sql +SELECT TIDB_PARSE_TSO(443852055297916932); ++------------------------------------+ +| TIDB_PARSE_TSO(443852055297916932) | ++------------------------------------+ +| 2023-08-27 20:33:41.687000 | ++------------------------------------+ +1 row in set (0.00 sec) +``` + +```sql +SELECT TIDB_PARSE_TSO_LOGICAL(443852055297916932); ++--------------------------------------------+ +| TIDB_PARSE_TSO_LOGICAL(443852055297916932) | ++--------------------------------------------+ +| 4 | ++--------------------------------------------+ +1 row in set (0.00 sec) +``` + +下面示例展示了 TSO 时间戳的二进制细节: + +```shell +0000011000101000111000010001011110111000110111000000000000000100 ← 该值是二进制形式的 443852055297916932 +0000011000101000111000010001011110111000110111 ← 前 46 位是物理时间戳 + 000000000000000100 ← 后 18 位是逻辑时间戳 +``` + +TSO 时间戳由两部分组成: + +- 物理时间戳:自 1970 年 1 月 1 日以来的 UNIX 时间戳,单位为毫秒。 +- 逻辑时间戳:递增计数器,用于需要在一毫秒内使用多个时间戳的情况,或某些事件可能触发时钟进程逆转的情况。在这些情况下,物理时间戳会保持不变,而逻辑时间戳保持递增。该机制可以确保 TSO 时间戳的完整性,确保时间戳始终递增而不会倒退。 + +你可以通过 SQL 语句更深入地查看 TSO 时间戳,示例如下: + +```sql +SELECT @ts, UNIX_TIMESTAMP(NOW(6)), (@ts >> 18)/1000, FROM_UNIXTIME((@ts >> 18)/1000), NOW(6), @ts & 0x3FFFF\G +*************************** 1. row *************************** + @ts: 443852055297916932 + UNIX_TIMESTAMP(NOW(6)): 1693161835.502954 + (@ts >> 18)/1000: 1693161221.6870 +FROM_UNIXTIME((@ts >> 18)/1000): 2023-08-27 20:33:41.6870 + NOW(6): 2023-08-27 20:43:55.502954 + @ts & 0x3FFFF: 4 +1 row in set (0.00 sec) +``` + +`>> 18` 操作表示按位[右移](/functions-and-operators/bit-functions-and-operators.md) 18 位,用于提取物理时间戳。由于物理时间戳以毫秒为单位,与更常见的以秒为单位的 UNIX 时间戳格式不同,因此需要除以 1000 将其转换为与 [`FROM_UNIXTIME()`](/functions-and-operators/date-and-time-functions.md) 兼容的格式。这个转换过程与 `TIDB_PARSE_TSO()` 的功能一致。 + +你还可以将二进制中的逻辑时间戳 `000000000000000100`(即十进制中的 `4`)提取出来。 + +你也可以通过 CLI 工具解析时间戳,命令如下: + +```shell +$ tiup ctl:v7.1.0 pd tso 443852055297916932 +``` + +``` +system: 2023-08-27 20:33:41.687 +0200 CEST +logic: 4 +``` + +可以看到,物理时间戳在以 `system:` 开头的行中,逻辑时间戳在以 `logic:` 开头的行中。

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