The exact changes made to each table depend on the storage engine used by that table.
After doing substantial insert, update, or delete operations on an InnoDB table that has its own. The table and indexes are reorganized, and disk space can be reclaimed for use by the operating system.
After extensive changes click a table, this statement may also improve performance of statements that use the table, sometimes significantly. It does not work for fixed-width columns of in-memory tables, nor does it work for Disk Data tables.
FORCEwhich rebuilds the table to update index statistics and free unused space in the clustered index. FORCE is completed in place. An exclusive table lock is only taken briefly during the prepare phase and the commit phase of the operation. During the prepare phase, metadata is updated and an intermediate table is created.
During the commit phase, table metadata changes are committed. When the mysqld --skip-new option is enabled. The table copy method is used instead. InnoDB stores data using a page-allocation method and does not suffer from fragmentation in the same way that legacy storage engines such as MyISAM will. When considering whether or not to run optimize, consider the workload of transactions that your server will process:.
Some level of fragmentation is expected. Delete operations might leave gaps that leave pages less filled than desired, which could make it worthwhile to optimize the table.
Updates to rows usually rewrite the data within the same page, depending on the data type and row format, when sufficient space is available. High-concurrency workloads might leave gaps in indexes over time, as InnoDB retains multiple versions of the same data due through its MVCC mechanism. If the table's statistics are not up to date and the repair could not be accomplished by sorting the indexupdate them. Silent Column Specification Changes.
Secondary Indexes and Generated Columns. The Subquery as Scalar Operand. Rewriting Subqueries as Joins. Transactional and Continue reading Statements. Statements That Cause an Implicit Commit.
Interaction of Table Locking and Transactions. Table-Locking Restrictions and Conditions. Variables in Stored Programs.
Local Variable Scope and Resolution. Plugin and User-Defined Function Statements. Stored Programs and Views. Errors, Error Codes, and Common Problems. If the table has deleted or split rows, repair the table. If the index pages are not sorted, sort them. Posted by Dathan Pattishall on May 25, MYI fixes that number.
MYI number since the table I'm "optimizing" does get a lot of more info. Posted by Mihail Manolov on October 29, Posted by James Day on November 28, For InnoDB, if you have your tables in one tablespace, this will make a complete copy of the table within the tablespace, making the tablespace larger by the total table size less the free space you started with.
It will not reduce the tablespace size. It can free fragmented space within a table to the tablespace, making that space available to other tables. If you're short of disk space and don't want to enlarge the tablespace you may be able to work around this by altering the table to MyISAM and then back to InnoDB.
Posted by Jeff C on September 2, Posted by How To Write Subqueries In Mysql Weiss on January 28, Also at MyISAM tables, the optimize needs a whole datafile of free hd space to free the not-used space in the file.
This may be very unfortunate, if you have some, How To Write Subqueries In Mysql one very big table in your database, which needs almost all the storage Indeed, you can not optimize it, until the data of that big table is less then free space, which is very unlikely This table must shrink to about eg.
Of course, this table will be locked all the time. I got out of this situation only by stopping the mysql server. The only help I know, is to copy this table to another server with enough space, then optimized it there, and move this optimized table back which must be done offline, because you have to remove the original first to get the space.
MySQL Tutorial For Beginners: MySQL SubQueries Tutorial
Posted by Matthew Meyers on August 25, I wrote a quick dos script that seeks out fragmented tables and then runs optimize "in case anyone else can use it thought I would share".
Used with MySQL 5. Posted by Eelko de Vos on January 25, We just couldn't wait for MySQL to clean up tens of tables which were huge gigabytes while the system was effectively down. Thus I wrote my own "optimize table" perl-script: Of course there are a few cave-ats: But for us this script turned out to be very very useful.
This tutorial covers how to write correlated subqueries in MySQL. In this tutorial, we will show you how to use MySQL subquery to write more complex queries. In addition, we will show you how to use correlated subquery. Performing Multiple-Table Retrievals with Subqueries. A subquery is a SELECT statement written within parentheses and nested inside another statement. By default, MySQL runs with autocommit mode enabled. This means that as soon as you execute a statement that updates (modifies) a table, MySQL stores the. Thoughts. There are a lot of opinions about JOINs vs Subqueries. The two trains of thought seem to be: In most cases JOINs are faster than sub-queries and it is very.
We could clean tables while we could still use them as if nothing was happening. Basically it sets up a new MyISAM merge-table and a copy of the old table, and then starts to fill a newly created clean table with all data from the old un-optimized table.
At some point all data has been moved and the switch back is made: Here's the link to the script: Posted by Rodolfo Campos on February 27, I've shared an script here for "automated" InnoDB tables optimization: Posted by Neil Davis on February 10, Delete operations leave the table fragmented as we all know.
I usually have a sort order field when the order is important, when I design a schema, but in an existing schema without a sort field, this can be useful to know if the sort order is important and you don't want the additional risk of modifying the schema. Sign Up Login You must be logged in to post a comment.