mysql kill transaction

1 seconds to kill business analysis Normal e-business process (1) Inquiry goods, (2) Create Order, (3) deduct inventory, (4) Update order, (5) payment, (6) Seller issue The characteristics of the second kill business (1) Low price, (2) Large

In a relational database, the importance of transactions is self-evident, as long as the database slightly understand that the transaction has four basic properties of ACID, and we do not know how the database is the implementation of these four

Batch kill SQL statements that run for a long time in mysql, killmysql KILL syntax KILL [CONNECTION | QUERY] thread_idEach connection to mysqld runs in an independent thread. You can use the show processlist statement to check which threads are

Start transaction, commit, and rollback syntaxStart transaction | begin [work] commit [work] [and [no] chain] [[no] release] rollback [work] [and [no] chain] [[no] release] set autocommit = {0 | 1} start transaction or begin statement can start a

Kill syntax KILL [CONNECTION | QUERY] thread_idEach connection to the mysqld runs in a separate thread, and you can use the show Processlist statement to see which threads are running and terminate a thread with the kill thread_id statement. Kill

Start transaction, commit and rollback syntaxStart Transaction | Begin [Work]commit [Work] [and [No] chain] [[No] release]rollback [work] [and [No] chain] [[No] release]set autocommit = { 0 | The 1}start transaction or BEGIN statement can begin a

mysql| Reference | Reference manual | Chinese MySQL 4.1.0 chinese reference manual---dog (heart sail) Translate MySQL Reference Manual for version 4.1.0-alpha. 6.7 MySQL Transaction and locking command 6.7.1 begin/commit/rollback syntax By

In order to quickly synchronize data needs, I staged two Python scripts, that is, two process synchronization data opened, the results of the server reported the database deadlock exception, through the troubleshooting Code and database log

1. High Concurrency Optimization analysis about concurrency Concurrency does not go because when multiple threads access a row of data at the same time, a transaction is generated so that a write lock is generated, and every time a thread that

In order to quickly synchronize data needs, I staged two Python scripts, that is, two process synchronization data opened, the results of the server reported the database deadlock exception, through the troubleshooting Code and database log