Optimize the execution performance of DML statements when the system variable tidb_dml_type is set to "bulk" #50215 @ekexium • Support using Optimizer Fix Control 47400 to control whether the optimizer limits Automatically terminating long-running idle transactions Y Y Y Y N N N N N N N N Bulk DML execution mode (tidb_dml_type = "bulk") E E E N N N N N N N N 2.3.7 Partitioning Partitioning 8.4 8.3 8.2 8.1 7.5 MaxSessions to 20. 2. Restart the sshd service: service sshd restart 6. Create and start the cluster: Edit the configuration file according to the following template, and name it as topo. �→ yaml: 127 #

Optimize the execution performance of DML statements when the system variable tidb_dml_type is set to "bulk" #50215 @ekexium • Support using Optimizer Fix Control 47400 to control whether the optimizer limits Automatically terminating long-running idle transactions Y Y Y Y N N N N N N N N Bulk DML execution mode (tidb_dml_type = "bulk") E E E N N N N N N N N 2.3.7 Partitioning Partitioning 8.4 8.3 8.2 8.1 7.5 MaxSessions to 20. 2. Restart the sshd service: service sshd restart 6. Create and start the cluster: Edit the configuration file according to the following template, and name it as topo. �→ yaml: # # Global

@zyguan TiDB fetches data by sending KV requests to TiKV. Batching and processing KV requests in bulk can significantly improve execution performance. Before v8.3.0, the batching strategy in TiDB is less using tidb_gc_ �→ concurrency #54570 @ekexium • Improve the performance of bulk DML execution mode (tidb_dml_type = "bulk �→ ") #50215 @ekexium • Improve the performance of schema information cache-related Automatically terminating long-running idle transactions Y Y Y N N N N N N N N Bulk DML execution mode (tidb_dml_type = "bulk") E E E N N N N N N N N 2.3.7 Partitioning Partitioning 8.3 8.2 8.1 7.5 7.1

Bulk DML for much larger transactions ( �→ experimental, introduced in v8.0.0) Large batch significant amount of memory and have �→ previously been limited at very large scales. Bulk DML (tidb_ �→ dml_type = "bulk") is a new DML type for handling large batch �→ DML tasks more efficiently Automatically terminating long-running idle transactions Y N N N N N N N N Bulk DML execution mode (tidb_dml_type = "bulk") E N N N N N N N N 4Starting from v6.4.0, TiDB supports high-performance and

Automatically terminating long-running idle transactions Y Y N N N N N N N N Bulk DML execution mode (tidb_dml_type = "bulk") E E N N N N N N N N 2.3.7 Partitioning Partitioning 8.2 8.1 7.5 7.1 6.5 6 MaxSessions to 20. 2. Restart the sshd service: service sshd restart 6. Create and start the cluster: Edit the configuration file according to the following template, and name it as topo. �→ yaml: 97 # # to run it, check out the tidb-samples/tidb-java- mybatis-quickstart repository. Connect to TiDB Edit the MyBatis configuration file mybatis-config.xml:

with Julia, one may need to compile, call the C code from Julia, then close the library, make an edit, recompile, and load in the new changes. One can either restart Julia or use the Libdl functions to JULIA_EDITOR The editor returned by InteractiveUtils.editor() and used in, e.g., InteractiveUtils.edit, referring to the command of the preferred editor, for instance vim. $JULIA_EDITOR takes precedence and to any files loaded in to the REPL with includet (but not with plain include); you can then edit the files and the changes take effect without restarting your julia session. A standard workflow

with Julia, one may need to compile, call the C code from Julia, then close the library, make an edit, recompile, and load in the new changes. One can either restart Julia or use the Libdl functions to JULIA_EDITOR The editor returned by InteractiveUtils.editor() and used in, e.g., InteractiveUtils.edit, referring to the command of the preferred editor, for instance vim. $JULIA_EDITOR takes precedence and to any files loaded in to the REPL with includet (but not with plain include); you can then edit the files and the changes take effect without restarting your julia session. A standard workflow

#55915 #55413 @wshwsh12 – 优化事务的缓存，以降低事务中的写操作延时与 TiDB CPU 使用 #55287 @you06 – 优化系统变量 tidb_dml_type 为 "bulk" 时 DML 语句的执行性能 #50215 @ekexium – 支持使用Optimizer Fix Control 47400 控制优化器是否将 estRows 的最小值限制为 1，与 Oracle Y Y Y Y Y Y Y Y Y Y Y Y 自动终止长时间未提交的空闲事务 Y Y Y Y N N N N N N N N 批量 DML 语句的执行方式 (tidb_dml_type = "bulk") E E E N N N N N N N N 2.3.7 分区 分区 8.4 8.3 8.2 8.1 7.5 7.1 6.5 6.1 5.4 5.3 5.2 5.1 Range 分区 Y player = Player.objects.create(name="player1", coins=100, goods=1) #### 批量插入多个对象 Player.objects.bulk_create([ Player(name="player1", coins=100, goods=1), Player(name="player2", coins=200, goods=2)

#55915 #55413 @wshwsh12 – 优化事务的缓存，以降低事务中的写操作延时与 TiDB CPU 使用 #55287 @you06 – 优化系统变量 tidb_dml_type 为 "bulk" 时 DML 语句的执行性能 #50215 @ekexium – 支持使用Optimizer Fix Control 47400 控制优化器是否将 estRows 的最小值限制为 1，与 Oracle Y Y Y Y Y Y Y Y Y Y Y Y 自动终止长时间未提交的空闲事务 Y Y Y Y N N N N N N N N 批量 DML 语句的执行方式 (tidb_dml_type = "bulk") E E E N N N N N N N N 2.3.7 分区 分区 8.4 8.3 8.2 8.1 7.5 7.1 6.5 6.1 5.4 5.3 5.2 5.1 Range 分区 Y player = Player.objects.create(name="player1", coins=100, goods=1) #### 批量插入多个对象 Player.objects.bulk_create([ Player(name="player1", coins=100, goods=1), Player(name="player2", coins=200, goods=2)

with Julia, one may need to compile, call the C code from Julia, then close the library, make an edit, recompile, and load in the new changes. One can either restart Julia or use the Libdl functions to JULIA_EDITOR The editor returned by InteractiveUtils.editor() and used in, e.g., InteractiveUtils.edit, referring to the command of the preferred editor, for instance vim. $JULIA_EDITOR takes precedence it again. The key in the above is that your code is encapsulated in a module. That allows you to edit struct definitions and remove methods, without restarting Julia. 479CHAPTER 36. WORKFLOW TIPS 480