Fix stale versioned docs links (#22875)

Author: tdashelby-cmyk

accelerated-table-creation.md

@@ -6,7 +6,7 @@ aliases: ['/tidb/dev/ddl-v2/']
 
 # TiDB Accelerated Table Creation
 
-TiDB v7.6.0 introduces the system variable [`tidb_ddl_version`](https://docs.pingcap.com/tidb/v7.6/system-variables#tidb_enable_fast_create_table-new-in-v800) to support accelerating table creation, which improves the efficiency of bulk table creation. Starting from v8.0.0, this system variable is renamed to [`tidb_enable_fast_create_table`](/system-variables.md#tidb_enable_fast_create_table-new-in-v800).
+TiDB v7.6.0 introduces the system variable [`tidb_ddl_version`](https://docs-archive.pingcap.com/tidb/v7.6/system-variables/#tidb_ddl_version-new-in-v760) to support accelerating table creation, which improves the efficiency of bulk table creation. Starting from v8.0.0, this system variable is renamed to [`tidb_enable_fast_create_table`](/system-variables.md#tidb_enable_fast_create_table-new-in-v800).
 
 When accelerated table creation is enabled via [`tidb_enable_fast_create_table`](/system-variables.md#tidb_enable_fast_create_table-new-in-v800), table creation statements with the same schema committed to the same TiDB node at the same time are merged into batch table creation statements to improve table creation performance. Therefore, to improve the table creation performance, try to connect to the same TiDB node, create tables with the same schema concurrently, and increase the concurrency appropriately.
 

ai/guides/connect.md

@@ -46,7 +46,7 @@ db = TiDBClient.connect(
 
 > **Note:**
 >
-> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-starter-clusters/) is required when using a public endpoint. The `pytidb` client **automatically** enables TLS for TiDB Cloud Starter instances.
+> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-serverless-clusters/) is required when using a public endpoint. The `pytidb` client **automatically** enables TLS for TiDB Cloud Starter instances.
 
 </div>
 <div label="TiDB Self-Managed">
@@ -99,7 +99,7 @@ db = TiDBClient.connect(
 
 > **Note:**
 >
-> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-starter-clusters/) is required when using a public endpoint, so you need to set `ssl_verify_cert=true&ssl_verify_identity=true` in the connection string.
+> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-serverless-clusters/) is required when using a public endpoint, so you need to set `ssl_verify_cert=true&ssl_verify_identity=true` in the connection string.
 
 </div>
 <div label="TiDB Self-Managed">

basic-features.md

@@ -222,7 +222,7 @@ You can try out TiDB features on [TiDB Playground](https://play.tidbcloud.com/?u
 | [Dumpling logical dumper](/dumpling-overview.md) | Y | Y | Y | Y | Y | Y | Y |
 | [Transactional `LOAD DATA`](/sql-statements/sql-statement-load-data.md) [^5] | Y | Y | Y | Y | Y | Y | Y |
 | [Database migration toolkit (DM)](/migration-overview.md) | Y | Y | Y | Y | Y | Y | Y |
-| [TiDB Binlog](https://docs.pingcap.com/tidb/v8.3/tidb-binlog-overview) [^6] | Removed | Y | Y | Y | Y | Y | Y |
+| [TiDB Binlog](https://docs-archive.pingcap.com/tidb/v8.3/tidb-binlog-overview/) [^6] | Removed | Y | Y | Y | Y | Y | Y |
 | [Change data capture (CDC)](/ticdc/ticdc-overview.md) | Y | Y | Y | Y | Y | Y | Y |
 | [Stream data to Amazon S3, GCS, Azure Blob Storage, and NFS through TiCDC](/ticdc/ticdc-sink-to-cloud-storage.md) | Y | Y | Y | Y | E | N | N |
 | [TiCDC supports bidirectional replication between two TiDB clusters](/ticdc/ticdc-bidirectional-replication.md) | Y | Y | Y | Y | Y | N | N |
@@ -282,4 +282,4 @@ You can try out TiDB features on [TiDB Playground](https://play.tidbcloud.com/?u
 
 [^5]: Starting from [TiDB v7.0.0](/releases/release-7.0.0.md), the new parameter `FIELDS DEFINED NULL BY` and support for importing data from S3 and GCS are experimental features. Starting from [v7.6.0](/releases/release-7.6.0.md), TiDB processes `LOAD DATA` in transactions in the same way as MySQL. The `LOAD DATA` statement in a transaction no longer automatically commits the current transaction or starts a new transaction. Moreover, you can explicitly commit or roll back the `LOAD DATA` statement in a transaction. Additionally, the `LOAD DATA` statement is affected by the TiDB transaction mode setting (optimistic or pessimistic transaction).
 
-[^6]: Starting from v7.5.0, [TiDB Binlog](https://docs.pingcap.com/tidb/v8.3/tidb-binlog-overview) replication is deprecated. Starting from v8.3.0, TiDB Binlog is fully deprecated. Starting from v8.4.0, TiDB Binlog is removed. For incremental data replication, use [TiCDC](/ticdc/ticdc-overview.md) instead. For point-in-time recovery (PITR), use [PITR](/br/br-pitr-guide.md). Before you upgrade your TiDB cluster to v8.4.0 or later versions, be sure to switch to TiCDC and PITR.
+[^6]: Starting from v7.5.0, [TiDB Binlog](https://docs-archive.pingcap.com/tidb/v8.3/tidb-binlog-overview/) replication is deprecated. Starting from v8.3.0, TiDB Binlog is fully deprecated. Starting from v8.4.0, TiDB Binlog is removed. For incremental data replication, use [TiCDC](/ticdc/ticdc-overview.md) instead. For point-in-time recovery (PITR), use [PITR](/br/br-pitr-guide.md). Before you upgrade your TiDB cluster to v8.4.0 or later versions, be sure to switch to TiCDC and PITR.

control-execution-plan.md

@@ -11,14 +11,4 @@ The first two chapters of SQL Tuning introduce how to understand TiDB's executio
 - But hints change the SQL statement intrusively. In some scenarios, hints cannot be simply inserted. In [SQL Plan Management](/sql-plan-management.md), you will know how TiDB uses another syntax to non-intrusively control the generation of execution plans, and the methods of automatic execution plan evolution in the background. This method helps address issues such as execution plan instability caused by version upgrades and cluster performance degradation.
 - Finally, you will learn how to use the blocklist in [Blocklist of Optimization Rules and Expression Pushdown](/blocklist-control-plan.md).
 
-<CustomContent platform="tidb">
-
 Besides the preceding methods, the execution plan is also affected by some system variables. By modifying these variables at the system level or session level, you can control the generation of the execution plan. Starting from v6.5.3 and v7.1.0, TiDB introduces a relatively special variable [`tidb_opt_fix_control`](/system-variables.md#tidb_opt_fix_control-new-in-v653-and-v710). This variable can accept multiple control items to control the behavior of the optimizer in a more fine-grained way, to prevent performance regression caused by behavior changes in the optimizer after cluster upgrade. Refer to [Optimizer Fix Controls](/optimizer-fix-controls.md) for a more detailed introduction.
-
-</CustomContent>
-
-<CustomContent platform="tidb-cloud">
-
-Besides the preceding methods, the execution plan is also affected by some system variables. By modifying these variables at the system level or session level, you can control the generation of the execution plan. Starting from v6.5.3 and v7.1.0, TiDB introduces a relatively special variable [`tidb_opt_fix_control`](/system-variables.md#tidb_opt_fix_control-new-in-v653-and-v710). This variable can accept multiple control items to control the behavior of the optimizer in a more fine-grained way, to prevent performance regression caused by behavior changes in the optimizer after cluster upgrade. Refer to [Optimizer Fix Controls](https://docs.pingcap.com/tidb/v7.2/optimizer-fix-controls) for a more detailed introduction.
-
-</CustomContent>

dm/task-configuration-file-full.md

@@ -25,7 +25,7 @@ name: test                      # The name of the task. Should be globally uniqu
 task-mode: all                  # The task mode. Can be set to `full`(only migrates full data)/`incremental`(replicates binlogs synchronously)/`all` (replicates both full data and incremental binlogs).
 shard-mode: "pessimistic"       # The shard merge mode. Optional modes are ""/"pessimistic"/"optimistic". The "" mode is used by default which means sharding DDL merge is disabled. If the task is a shard merge task, set it to the "pessimistic" mode.
                                 # After understanding the principles and restrictions of the "optimistic" mode, you can set it to the "optimistic" mode.
-strict-optimistic-shard-mode: false # Only takes effect in the optimistic mode. This configuration restricts the behavior of the optimistic mode. The default value is false. Introduced in v7.2.0. For details, see https://docs.pingcap.com/tidb/v7.2/feature-shard-merge-optimistic
+strict-optimistic-shard-mode: false # Only takes effect in the optimistic mode. This configuration restricts the behavior of the optimistic mode. The default value is false. Introduced in v7.2.0. For details, see https://docs.pingcap.com/tidb/stable/feature-shard-merge-optimistic/
 meta-schema: "dm_meta"          # The downstream database that stores the `meta` information.
 timezone: "Asia/Shanghai"       # The timezone used in SQL Session. By default, DM uses the global timezone setting in the target cluster, which ensures the correctness automatically. A customized timezone does not affect data migration but is unnecessary.
 case-sensitive: false           # Determines whether the schema/table is case-sensitive.

releases/release-7.2.0.md

@@ -56,7 +56,7 @@ Quick access: [Quick start](https://docs-archive.pingcap.com/tidb/v7.2/quick-sta
 
 * TiFlash supports the pipeline execution model (experimental) [#6518](https://github.com/pingcap/tiflash/issues/6518) @[SeaRise](https://github.com/SeaRise)
 
-    Prior to v7.2.0, each task in the TiFlash engine must individually request thread resources during execution. TiFlash controls the number of tasks to limit thread resource usage and prevent overuse, but this issue could not be completely eliminated. To address this problem, starting from v7.2.0, TiFlash introduces a pipeline execution model. This model centrally manages all thread resources and schedules task execution uniformly, maximizing the utilization of thread resources while avoiding resource overuse. To enable or disable the pipeline execution model, modify the [`tidb_enable_tiflash_pipeline_model`](https://docs.pingcap.com/tidb/v7.2/system-variables#tidb_enable_tiflash_pipeline_model-new-in-v720) system variable.
+    Prior to v7.2.0, each task in the TiFlash engine must individually request thread resources during execution. TiFlash controls the number of tasks to limit thread resource usage and prevent overuse, but this issue could not be completely eliminated. To address this problem, starting from v7.2.0, TiFlash introduces a pipeline execution model. This model centrally manages all thread resources and schedules task execution uniformly, maximizing the utilization of thread resources while avoiding resource overuse. To enable or disable the pipeline execution model, modify the [`tidb_enable_tiflash_pipeline_model`](https://docs-archive.pingcap.com/tidb/v7.2/system-variables/#tidb_enable_tiflash_pipeline_model-new-in-v720) system variable.
 
     For more information, see [documentation](/tiflash/tiflash-pipeline-model.md).