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

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 after the PD leader transfer #4769 • TiDB Dashboard • Fix a bug that Top SQL cannot collect the CPU overhead of the SQL statements that were running before the Top SQL feature is enabled #33859 84

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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requests to all PD nodes when acquiring TSO. The PD follower then forwards the TSO requests to reduce the CPU pressure of PD leader. 31 Variable name Change type Description tidb_tso_client_batch_max_wait_time improve the overall performance of TiDB. Note: When the number of clients is small and the PD leader CPU load is not full, it is NOT recommended to enable PD Follower Proxy. – Support using the system variable disk usage and read files more efficiently – Fix the issue that dashboard does not display memory or CPU information in some non-Linux systems – Unify the naming style of TiFlash log files (keep the naming

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 formula is as follows: • connections: the size of connections obtained. • core_count: the number of CPU cores. • effective_spindle_count: the number of hard drives (not SSD). Because each spin- ning hard Since too many TTL workers will cause a lot of pressure, you need to evaluate the CPU level of TiDB and the disk and CPU usage of TiKV together. Depending on different scenarios and needs (whether you need

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 is as follows: • connections: the size of connections obtained. 328 • core_count: the number of CPU cores. • effective_spindle_count: the number of hard drives (not SSD). Because each spin- ning hard Since too many TTL workers will cause a lot of pressure, you need to evaluate the CPU level of TiDB and the disk and CPU usage of TiKV together. Depending on different scenarios and needs (whether you need

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

frequently reading the mysql.stats_histograms table if the cached statis- tics is up-to-date to avoid high CPU usage #24317 • TiKV – Use zstd to compress Region snapshots, preventing large space differences be- incorrect handling of io.EOF might cause replication interruption #1633 * Correct the TiKV CDC endpoint CPU metric in the TiCDC dashboard #1645 * Increase defaultBufferChanSize to avoid replication blocking + Parquet 2.5.3.2 Test environment 2.5.3.2.1 Hardware prerequisite • Node count: 3 • CPU: Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz, 40 cores • Memory: 189 GB • Disks: NVMe 3TB * 2 2.5.3.2.2 Software

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 �→