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TiDB Experimental Features

This document introduces the experimental features of TiDB in different versions. It is NOT recommended to use these features in the production environment.

Performance

Stability

  • Improve the stability of the optimizer's choice of indexes: extend the statistics feature by collecting the multi-column order dependency information (Introduced in v5.0).
  • When TiKV is deployed with limited resources, if the foreground of TiKV processes too many read and write requests, the CPU resources used by the background are occupied to help process such requests, which affects the performance stability of TiKV. To avoid this situation, you can use the Quota Limiter to limit the CPU resources to be used by the foreground. (Introduced in v6.0)

Scheduling

Elastic scheduling feature. It enables the TiDB cluster to dynamically scale out and in on Kubernetes based on real-time workloads, which effectively reduces the stress during your application's peak hours and saves overheads. See Enable TidbCluster Auto-scaling for details. (Introduced in v4.0)

SQL

Storage

Backup and restoration

Data migration

  • Use WebUI to manage migration tasks in DM. (Introduced in v6.0)

Garbage collection

Diagnostics

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