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add Related resources to more docs (#22883) (#22886)
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ai/concepts/vector-search-overview.md

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- [Get started with vector search using Python](/ai/quickstart-via-python.md)
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- [Get started with vector search using SQL](/ai/quickstart-via-sql.md)
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## Related resources
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<RelatedResources>
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<ResourceCard title="What is a Context Platform? A New Pattern for AI Agents in Production" type="blog" link="https://www.pingcap.com/blog/ai-application-data-layer-context-platform/" imgSrc="https://static.pingcap.com/files/2026/05/08140846/Copy-of-Blog-Feature-2.png" author="Li Shen" date="2026-05-07" />
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</RelatedResources>

br/backup-and-restore-overview.md

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- [TiDB Snapshot Backup and Restore Guide](/br/br-snapshot-guide.md)
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- [TiDB Log Backup and PITR Guide](/br/br-pitr-guide.md)
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- [Backup Storages](/br/backup-and-restore-storages.md)
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB Admin Lab 8: Performing Backup and Restore" type="lab" link="https://labs.tidb.io/labs/dba_303_lab_ff7" imgSrc="https://lab-static.pingcap.com/quick-demo/dba_303_ch09_en.png" duration="60 mins" />
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</RelatedResources>

choose-index.md

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+---------+------+-------------------------------------------------------------------------------------------------------+
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1 row in set (0.01 sec)
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```
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB SQL Tuning Lab 1: Clustered and Non-Clustered Indexes" type="lab" link="https://labs.tidb.io/labs/dba_307_lab_ff0" imgSrc="https://lab-static.pingcap.com/quick-demo/307-01.png" duration="90 mins" />
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</RelatedResources>

clustered-indexes.md

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mysql> create table t (a bigint primary key nonclustered auto_random);
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ERROR 8216 (HY000): Invalid auto random: column a is not the integer primary key, or the primary key is nonclustered
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```
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB SQL Tuning Lab 1: Clustered and Non-Clustered Indexes" type="lab" link="https://labs.tidb.io/labs/dba_307_lab_ff0" imgSrc="https://lab-static.pingcap.com/quick-demo/307-01.png" duration="90 mins" />
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</RelatedResources>

dm/migrate-data-using-dm.md

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- DM-master log directory: It is specified by the `--log-file` DM-master process parameter. If DM is deployed using TiUP, the log directory is `{log_dir}` in the DM-master node.
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- DM-worker log directory: It is specified by the `--log-file` DM-worker process parameter. If DM is deployed using TiUP, the log directory is `{log_dir}` in the DM-worker node.
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB Admin Lab 10: Migrating Data Using TiDB Data Migration" type="lab" link="https://labs.tidb.io/labs/dba_303_lab_ff9" imgSrc="https://lab-static.pingcap.com/quick-demo/dba_303_ch11_en.png" duration="60 mins" />
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</RelatedResources>

dumpling-overview.md

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| view | `{{fn .DB}}.{{fn .Table}}-schema-view` |
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For example, using `--output-filename-template '{{define "table"}}{{fn .Table}}.$schema{{end}}{{define "data"}}{{fn .Table}}.{{printf "%09d" .Index}}{{end}}'`, Dumpling will write the schema of the table `db.tbl:normal` into a file named `tbl%3Anormal.$schema.sql`, and write the data into files `tbl%3Anormal.000000000.sql`, `tbl%3Anormal.000000001.sql`, and so on.
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB Admin Lab 7: Exporting Data Using Dumpling" type="lab" link="https://labs.tidb.io/labs/dba_303_lab_ff6" imgSrc="https://lab-static.pingcap.com/quick-demo/dba_303_ch08_en.png" duration="60 mins" />
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</RelatedResources>

get-started-with-tidb-lightning.md

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This tutorial briefly introduces what TiDB Lightning is and how to quickly deploy a TiDB Lightning cluster to import full backup data to the TiDB cluster.
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For detailed features and usage about TiDB Lightning, refer to [TiDB Lightning Overview](/tidb-lightning/tidb-lightning-overview.md).
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB Admin Lab 6: Importing Data into TiDB Using TiDB Lightning" type="lab" link="https://labs.tidb.io/labs/dba_303_lab_ff5" imgSrc="https://lab-static.pingcap.com/quick-demo/dba_303_ch07_en.png" duration="60 mins" />
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</RelatedResources>

integration-overview.md

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## Integrate with Apache Kafka and Apache Flink
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You can use TiCDC to replicate incremental data from TiDB to Apache Kafka, and consume the data using Apache Flink. For details, see [Integrate with Apache Kafka and Apache Flink](/replicate-data-to-kafka.md).
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You can use TiCDC to replicate incremental data from TiDB to Apache Kafka, and consume the data using Apache Flink. For details, see [Integrate with Apache Kafka and Apache Flink](/replicate-data-to-kafka.md).
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## Related resources
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<RelatedResources>
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<ResourceCard title="How to Replicate TiDB to a Mirrored Database in Microsoft Fabric with TiCDC" type="blog" link="https://www.pingcap.com/blog/replicate-tidb-mirrored-database-microsoft-fabric-ticdc/" imgSrc="https://static.pingcap.com/files/2025/10/27043237/20251027-170225.png" author="Guanglei Bao, Jasper Hu, Brian Foster" date="2025-10-27" />
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</RelatedResources>

overview.md

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- [TiDB Storage](/tidb-storage.md)
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- [TiDB Computing](/tidb-computing.md)
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- [TiDB Scheduling](/tidb-scheduling.md)
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## Related resources
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<RelatedResources>
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<ResourceCard title="Why #TiDB?" type="video" link="https://www.youtube.com/watch?v=aWBNNPm21zg" imgSrc="https://i.ytimg.com/vi/aWBNNPm21zg/hqdefault.jpg" author="PingCAP" duration="2 mins" />
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</RelatedResources>

partitioned-table.md

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SET session tidb_partition_prune_mode = dynamic;
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source gatherGlobalStats.sql
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```
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## Related resources
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<RelatedResources>
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<ResourceCard title="TiDB SQL Tuning Lab 2: Partitioned Tables" type="lab" link="https://labs.tidb.io/labs/dba_307_lab_ff1" imgSrc="https://lab-static.pingcap.com/quick-demo/307-02.png" duration="90 mins" />
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</RelatedResources>

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