deploying TiDB on the x86_64 (AMD64) and ARM architectures: • It is recommended to use CentOS 7.3 or later versions on AMD64 • It is recommended to use CentOS 7.6 1810 on ARM 3.1.2.2 Deploy Note: You can log source ~/.zshrc mysql --version An example of the expected output: mysql Ver 8.0.28 for macos12.0 on arm64 (Homebrew) For Linux, the following takes CentOS 7 as an example: yum install mysql Then, verify is as follows: • connections: the size of connections obtained. 340 • core_count: the number of CPU cores. • effective_spindle_count: the number of hard drives (not SSD). Because each spin- ning hard

advantage of this �→ framework, v7.4 introduces global sorting to eliminate the �→ unnecessary I/O, CPU, and memory spikes caused by temporarily out-of- 36 �→ order data during data re-organization tasks deploying TiDB on the x86_64 (AMD64) and ARM architectures: • It is recommended to use CentOS 7.3 or later versions on AMD64. • It is recommended to use CentOS 7.6 1810 on ARM. 3.1.2.2 Deploy 93 Note: You source ~/.zshrc mysql --version An example of the expected output: mysql Ver 8.0.28 for macos12.0 on arm64 (Homebrew) For Linux, the following takes CentOS 7 as an example: yum install mysql Then, verify

region-split-concurrency controls the concurrency when splitting Regions. The default value is the number of CPU cores. • tikv-importer.region-check-backoff-limit controls the number of retries to wait for the Region Configuration file Configuration parame- ter Change type Description TiKV split. �→ region �→ -cpu �→ - �→ overload �→ - �→ threshold �→ - �→ ratio �→ Modified Changes the default value from 0.25 to Newly added Controls the con- currency when splitting Regions. The default value is the number of CPU cores. 76 Configuration file Configuration parame- ter Change type Description TiCDC insecure �→

• ROW_NUMBER() User document, #33072 2.2.1.2 Observability • Continuous Profiling supports the ARM architecture and TiFlash. User document • Grafana adds a Performance Overview dashboard to provide engine for logs. Compared with RocksDB, Raft Engine can reduce TiKV I/O write traffic by up to 40% and CPU usage by 10%, while improving foreground throughput by about 5% and reducing tail latency by 20% under configuration items support modifying values dynamically: • raftstore.raft-entry-max-size • quota.foreground-cpu-time 81 • quota.foreground-write-bandwidth • quota.foreground-read-bandwidth • quota.max-delay-duration

e> requests �→ in clusters with a large number of TiDB nodes and Regions, thereby �→ reducing the CPU pressure on the PD leader. Reliability and Availability 0 码力 | 6123 页 | 107.24 MB | 1 年前

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information of Ingest SST duration seconds is incorrect #17239 @LykxSassinator • Fix the issue that CPU profiling flag is not reset correctly when an error occurs #17234 @Connor1996 • Fix the issue that deploying TiDB on the x86_64 (AMD64) and ARM architectures: • It is recommended to use CentOS 7.3 or later versions on AMD64. • It is recommended to use CentOS 7.6 1810 on ARM. 3.1.2.2 Deploy 99 Note: You source ~/.zshrc mysql --version An example of the expected output: mysql Ver 8.0.28 for macos12.0 on arm64 (Homebrew) For Linux, the following takes CentOS 7 as an example: yum install mysql Then, verify

ranks TiDB nodes based on various �→ dimensions, such as status, connection counts, health, memory, CPU, �→ and location. According to the load balancing policy specified in the �→ policy configuration connection count-based policies, TiProxy sup- ports dynamic load balancing based on health, memory, CPU, and location, improving the stability of the TiDB cluster. You can configure the combination and memory, CPU, location, and connection count. • location: the location priority policy performs load balancing based on the fol- lowing priority order: status, location, health, memory, CPU, and connection

e> requests �→ in clusters with a large number of TiDB nodes and Regions, thereby �→ reducing the CPU pressure on PD leaders. 0 码力 | 6479 页 | 108.61 MB | 10 月前

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and TiDB CPU times in memory tables The CPU time is now integrated into a system table, displayed alongside �→ other metrics for sessions or SQL, letting you observe high CPU �→ consumption scenarios such as CPU spikes in instances or read/write hotspots in �→ clusters. Support �→ viewing aggregated TiKV CPU time by table database When hotspot issues are not caused by individual SQL statements, using �→ the aggregated CPU time by table or database level in Top SQL can �→ help you quickly identify the tables or applications

and TiDB CPU times in memory tables The CPU time is now integrated into a system table, displayed alongside �→ other metrics for sessions or SQL, letting you observe high CPU �→ consumption scenarios such as CPU spikes in instances or read/write hotspots in �→ clusters. Support �→ viewing aggregated TiKV CPU time by table database When hotspot issues are not caused by individual SQL statements, using �→ the aggregated CPU time by table or database level in Top SQL can �→ help you quickly identify the tables or applications