To tune queries for
InnoDB tables, create an
appropriate set of indexes on each table. See
Section 8.3.1, “How MySQL Uses Indexes” for details. Follow these
InnoDB table has a
primary key (whether
you request one or not), specify a set of primary key
columns for each table, columns that are used in the most
important and time-critical queries.
Do not specify too many or too long columns in the primary key, because these column values are duplicated in each secondary index. When an index contains unnecessary data, the I/O to read this data and memory to cache it reduce the performance and scalability of the server.
Do not create a separate secondary index for each column, because each query can only make use of one index. Indexes on rarely tested columns or columns with only a few different values might not be helpful for any queries. If you have many queries for the same table, testing different combinations of columns, try to create a small number of concatenated indexes rather than a large number of single-column indexes. If an index contains all the columns needed for the result set (known as a covering index), the query might be able to avoid reading the table data at all.
If an indexed column cannot contain any
NULL values, declare it as
NULL when you create the table. The optimizer can
better determine which index is most effective to use for a
query, when it knows whether each column contains
NULL values or not.
In MySQL 5.6.4 and higher, you can optimize single-query
InnoDB tables, using the
technique in Section 8.5.3, “Optimizing InnoDB Read-Only Transactions”.
If you often have recurring queries for tables that are not updated frequently, enable the query cache:
[mysqld] query_cache_type = 1 query_cache_size = 10M
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