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MySQL can create composite indexes (that is, indexes on multiple columns). An index may consist of up to 16 columns. For certain data types, you can index a prefix of the column (see Section 8.3.4, "Column Indexes").
MySQL can use multiple-column indexes for queries that test all the columns in the index, or queries that test just the first column, the first two columns, the first three columns, and so on. If you specify the columns in the right order in the index definition, a single composite index can speed up several kinds of queries on the same table.
A multiple-column index can be considered a sorted array, the rows of which contain values that are created by concatenating the values of the indexed columns.
As an alternative to a composite index, you can introduce a column that is "hashed" based on information from other columns. If this column is short, reasonably unique, and indexed, it might be faster than a "wide" index on many columns. In MySQL, it is very easy to use this extra column:
SELECT * FROMtbl_name
WHEREhash_col
=MD5(CONCAT(val1
,val2
)) ANDcol1
=val1
ANDcol2
=val2
;
Suppose that a table has the following specification:
CREATE TABLE test ( id INT NOT NULL, last_name CHAR(30) NOT NULL, first_name CHAR(30) NOT NULL, PRIMARY KEY (id), INDEX name (last_name,first_name));
The name
index is an index over the last_name
and
first_name
columns. The index can be used for lookups in queries that specify
values in a known range for combinations of last_name
and first_name
values. It can also be used for queries that specify just a last_name
value because
that column is a leftmost prefix of the index (as described later in this section). Therefore, the name
index is used for lookups in the following queries:
SELECT * FROM test WHERE last_name='Widenius';SELECT * FROM test WHERE last_name='Widenius' AND first_name='Michael';SELECT * FROM test WHERE last_name='Widenius' AND (first_name='Michael' OR first_name='Monty');SELECT * FROM test WHERE last_name='Widenius' AND first_name >='M' AND first_name < 'N';
However, the name
index is not used for
lookups in the following queries:
SELECT * FROM test WHERE first_name='Michael';SELECT * FROM test WHERE last_name='Widenius' OR first_name='Michael';
Suppose that you issue the following SELECT
statement:
mysql> SELECT * FROM tbl_name
WHERE col1=val1
AND col2=val2
;
If a multiple-column index exists on col1
and col2
,
the appropriate rows can be fetched directly. If separate single-column indexes exist on col1
and col2
, the optimizer attempts to use the Index Merge optimization (see Section
8.13.2, "Index Merge Optimization"), or attempts to find the most restrictive index by deciding which
index excludes more rows and using that index to fetch the rows.
If the table has a multiple-column index, any leftmost prefix of the index can be used by the optimizer to find
rows. For example, if you have a three-column index on (col1, col2, col3)
, you have
indexed search capabilities on (col1)
, (col1, col2)
,
and (col1, col2, col3)
.
MySQL cannot use the index to perform lookups if the columns do not form a leftmost prefix of the index. Suppose
that you have the SELECT
statements shown here:
SELECT * FROMtbl_name
WHERE col1=val1
;SELECT * FROMtbl_name
WHERE col1=val1
AND col2=val2
;SELECT * FROMtbl_name
WHERE col2=val2
;SELECT * FROMtbl_name
WHERE col2=val2
AND col3=val3
;
If an index exists on (col1, col2, col3)
, only the first two queries use the index.
The third and fourth queries do involve indexed columns, but (col2)
and (col2, col3)
are not leftmost prefixes of (col1, col2,
col3)
.