mysql 临时表

8.4.4 Internal Temporary Table Use in MySQL

In some cases, the server creates internal temporary tables while processing statements. Users have no direct control over when this occurs.

The server creates temporary tables under conditions such as these:

  • Evaluation of UNION statements, with some exceptions described later.

  • Evaluation of some views, such those that use the TEMPTABLE algorithm, UNION, or aggregation.

  • 注意是 evaluation,不是所有的和 derived table 有关的都会使用到临时表 Evaluation of derived tables (see Section 13.2.10.8, “Derived Tables”).

  • Tables created for subquery or semijoin materialization (see Section 8.2.2, “Optimizing Subqueries, Derived Tables, and View References”).

  • order by 要不走索引,要不走 file sort (数据很大的情况下)。所以有磁盘临时表不是很可怕 Evaluation of statements that contain an ORDER BY clause and a different GROUP BY clause, or for which the ORDER BY or GROUP BY contains columns from tables other than the first table in the join queue.

  • Evaluation of DISTINCT combined with ORDER BY may require a temporary table.

  • For queries that use the SQL_SMALL_RESULT modifier, MySQL uses an in-memory temporary table, unless the query also contains elements (described later) that require on-disk storage.

  • To evaluate INSERT ... SELECT statements that select from and insert into the same table, MySQL creates an internal temporary table to hold the rows from the SELECT, then inserts those rows into the target table. See Section 13.2.5.1, “INSERT ... SELECT Statement”.

  • Evaluation of multiple-table UPDATE statements.

  • Evaluation of GROUP_CONCAT() or COUNT(DISTINCT) expressions.

To determine whether a statement requires a temporary table, use EXPLAIN and check the Extra column to see whether it says Using temporary (see Section 8.8.1, “Optimizing Queries with EXPLAIN”). EXPLAIN will not necessarily say Using temporary for derived or materialized temporary tables.

Some query conditions prevent the use of an in-memory temporary table, in which case the server uses an on-disk table instead:

  • Presence of a BLOB or TEXT column in the table. This includes user-defined variables having a string value because they are treated as BLOB or TEXT columns, depending on whether their value is a binary or nonbinary string, respectively.

  • Presence of any string column with a maximum length larger than 512 (bytes for binary strings, characters for nonbinary strings) in the SELECT list, if UNION or UNION ALL is used.

  • The SHOW COLUMNS and DESCRIBE statements use BLOB as the type for some columns, thus the temporary table used for the results is an on-disk table.

The server does not use a temporary table for UNION statements that meet certain qualifications. Instead, it retains from temporary table creation only the data structures necessary to perform result column typecasting. The table is not fully instantiated and no rows are written to or read from it; rows are sent directly to the client. The result is reduced memory and disk requirements, and smaller delay before the first row is sent to the client because the server need not wait until the last query block is executed. EXPLAIN and optimizer trace output reflects this execution strategy: The UNION RESULT query block is not present because that block corresponds to the part that reads from the temporary table.

These conditions qualify a UNION for evaluation without a temporary table:

  • The union is UNION ALL, not UNION or UNION DISTINCT.

  • There is no global ORDER BY clause.

  • The union is not the top-level query block of an {INSERT | REPLACE} ... SELECT ... statement.

Internal Temporary Table Storage Engine

An internal temporary table can be held in memory and processed by the MEMORY storage engine, or stored on disk by the InnoDB or MyISAM storage engine.

If an internal temporary table is created as an in-memory table but becomes too large, MySQL automatically converts it to an on-disk table. The maximum size for in-memory temporary tables is defined by the tmp_table_size or max_heap_table_size value, whichever is smaller. This differs from MEMORY tables explicitly created with CREATE TABLE. For such tables, only the max_heap_table_size variable determines how large a table can grow, and there is no conversion to on-disk format.

The internal_tmp_disk_storage_engine variable defines the storage engine the server uses to manage on-disk internal temporary tables. Permitted values are INNODB (the default) and MYISAM.

Note

When using internal_tmp_disk_storage_engine=INNODB, queries that generate on-disk internal temporary tables that exceed InnoDB row or column limits return Row size too large or Too many columns errors. The workaround is to set internal_tmp_disk_storage_engine to MYISAM.

When an internal temporary table is created in memory or on disk, the server increments the Created_tmp_tables value. When an internal temporary table is created on disk, the server increments the Created_tmp_disk_tables value. If too many internal temporary tables are created on disk, consider increasing the tmp_table_size and max_heap_table_size settings.

Internal Temporary Table Storage Format

In-memory temporary tables are managed by the MEMORY storage engine, which uses fixed-length row format. VARCHAR and VARBINARY column values are padded to the maximum column length, in effect storing them as CHAR and BINARY columns.

On-disk temporary tables are managed by the InnoDB or MyISAM storage engine (depending on the internal_tmp_disk_storage_engine setting). Both engines store temporary tables using dynamic-width row format. Columns take only as much storage as needed, which reduces disk I/O, space requirements, and processing time compared to on-disk tables that use fixed-length rows.

For statements that initially create an internal temporary table in memory, then convert it to an on-disk table, better performance might be achieved by skipping the conversion step and creating the table on disk to begin with. The big_tables variable can be used to force disk storage of internal temporary tables.

posted @ 2020-05-07 21:06  tmortred  阅读(181)  评论(0编辑  收藏  举报