Mysql:speed of INSERT statements

Speed of INSERT statements

To optimize insert speed, combine many small operations into a single large operation. Ideally, connection, send the data for many new rows at once, and delay all index updates and Consistenc Y checking until the very end.

The time required for inserting a row was determined by the following factors, where the numbers indicate approximate Propo Rtions:

• Connecting: (3)

• Sending query to server: (2)

• Parsing query: (2)

• Inserting row: (1xsize of Row)

• Inserting indexes: (1xnumber of indexes)

• Closing: (1)

This does don't take into consideration the initial overhead to open tables, which are done once for each concurrently runnin G Query.

The size of the table slows down the insertion of indexes by log N , assuming b-tree indexes.

You can use the following methods to speed up inserts:

• If you is inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists SERT several rows at a time. This was considerably faster (many times faster in some cases) than using separate Single-row statements INSERT . If you is adding data to a nonempty table, you can tune the bulk_insert_buffer_size variable to make data insertion even faster. See section 5.1.4, "Server System Variables".

• When loading a table from a text file, use LOAD DATA INFILE . This is usually faster than using INSERT statements. See section 13.2.6, "LOAD DATA INFILE Syntax".

• Take advantage of the fact, columns has default values. Insert values explicitly only if the value to is inserted differs from the default. This reduces the parsing, MySQL must do and improves the insert speed.

• See section 8.5.2, ' Bulk Data Loading for MyISAM Tables ' for tips specific to MyISAM Tables.

REF:

Http://dev.mysql.com/doc/refman/5.0/en/insert-speed.html

Http://dev.mysql.com/doc/refman/5.0/en/update-speed.html

Mysql:speed of INSERT statements