Skip navigation links
MySQL 5.0 Reference Manual :: 7 Optimización de MySQL :: 7.3 Temas relacionados con el bloqueo :: 7.3.2 Cuestiones relacionadas con el bloqueo (locking) de tablas
7.4 Optimizar la estructura de una base de datos »
Section Navigation      [Toggle]

7.3.2. Cuestiones relacionadas con el bloqueo (locking) de tablas

To achieve a very high lock speed, MySQL uses table locking (instead of page, row, or column locking) for all storage engines except InnoDB and BDB.

For InnoDB and BDB tables, MySQL uses only table locking if you explicitly lock the table with LOCK TABLES. For these table types, we recommend that you not use LOCK TABLES at all, because InnoDB uses automatic row-level locking and BDB uses page-level locking to ensure transaction isolation.

For large tables, table locking is much better than row locking for most applications, but there are some pitfalls.

Table locking enables many threads to read from a table at the same time, but if a thread wants to write to a table, it must first get exclusive access. During the update, all other threads that want to access this particular table must wait until the update is done.

Table updates normally are considered to be more important than table retrievals, so they are given higher priority. This should ensure that updates to a table are not “starved” even if there is heavy SELECT activity for the table.

Table locking causes problems in cases such as when a thread is waiting because the disk is full and free space needs to become available before the thread can proceed. In this case, all threads that want to access the problem table are also put in a waiting state until more disk space is made available.

Table locking is also disadvantageous under the following scenario:

  • A client issues a SELECT that takes a long time to run.

  • Another client then issues an UPDATE on the same table. This client waits until the SELECT is finished.

  • Another client issues another SELECT statement on the same table. Because UPDATE has higher priority than SELECT, this SELECT waits for the UPDATE to finish, and for the first SELECT to finish.

The following list describes some ways to avoid or reduce contention caused by table locking:

  • Try to get the SELECT statements to run faster. You might have to create some summary tables to do this.

  • Start mysqld with --low-priority-updates. This gives all statements that update (modify) a table lower priority than SELECT statements. In this case, the second SELECT statement in the preceding scenario would execute before the UPDATE statement, and would not need to wait for the first SELECT to finish.

  • You can specify that all updates issued in a specific connection should be done with low priority by using the SET LOW_PRIORITY_UPDATES=1 statement. See Sección 13.5.3, “Sintaxis de SET”.

  • You can give a specific INSERT, UPDATE, or DELETE statement lower priority with the LOW_PRIORITY attribute.

  • You can give a specific SELECT statement higher priority with the HIGH_PRIORITY attribute. See Sección 13.2.7, “Sintaxis de SELECT”.

  • You can start mysqld with a low value for the max_write_lock_count system variable to force MySQL to temporarily elevate the priority of all SELECT statements that are waiting for a table after a specific number of inserts to the table occur. This allows READ locks after a certain number of WRITE locks.

  • If you have problems with INSERT combined with SELECT, you might want to consider switching MyISAM tables, which support concurrent SELECT and INSERT statements.

  • If you mix inserts and deletes on the same table, INSERT DELAYED may be of great help. See Sección 13.2.4.2, “Sintaxis de INSERT DELAYED”.

  • If you have problems with mixed SELECT and DELETE statements, the LIMIT option to DELETE may help. See Sección 13.2.1, “Sintaxis de DELETE”.

  • Using SQL_BUFFER_RESULT with SELECT statements can help to make the duration of table locks shorter. See Sección 13.2.7, “Sintaxis de SELECT”.

  • You could change the locking code in mysys/thr_lock.c to use a single queue. In this case, write locks and read locks would have the same priority, which might help some applications.

Here are some tips concerning table locks in MySQL:

  • Concurrent users are not a problem if you don't mix updates with selects that need to examine many rows in the same table.

  • You can use LOCK TABLES to increase speed, as many updating within a single lock is much faster than updating without locks. Splitting table contents into separate tables may also help.

  • If you encounter speed problems with table locks in MySQL, you may be able to improve performance by converting some of your tables to InnoDB or BDB tables. See Capítulo 15, El motor de almacenamiento InnoDB. See Sección 14.4, “El motor de almacenamiento BDB (BerkeleyDB)”.

Ésta es una traducción del manual de referencia de MySQL, que puede encontrarse en dev.mysql.com. El manual de referencia original de MySQL está escrito en inglés, y esta traducción no necesariamente está tan actualizada como la versión original. Para cualquier sugerencia sobre la traducción y para señalar errores de cualquier tipo, no dude en dirigirse a mysql-es@vespito.com.