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The Index Merge method is used to
retrieve rows with several
range
scans and to merge
their results into one. The merge can produce unions,
intersections, or unions-of-intersections of its underlying
scans. This access method merges index scans from a single
table; it does not merge scans across multiple tables.
In EXPLAIN
output, the Index
Merge method appears as
index_merge
in the
type
column. In this case, the
key
column contains a list of indexes used,
and key_len
contains a list of the longest
key parts for those indexes.
Examples:
SELECT * FROMtbl_name
WHEREkey1
= 10 ORkey2
= 20; SELECT * FROMtbl_name
WHERE (key1
= 10 ORkey2
= 20) ANDnon_key
=30; SELECT * FROM t1, t2 WHERE (t1.key1
IN (1,2) OR t1.key2
LIKE 'value
%') AND t2.key1
=t1.some_col
; SELECT * FROM t1, t2 WHERE t1.key1
=1 AND (t2.key1
=t1.some_col
OR t2.key2
=t1.some_col2
);
The Index Merge method has several access algorithms (seen in
the Extra
field of
EXPLAIN
output):
Using intersect(...)
Using union(...)
Using sort_union(...)
The following sections describe these methods in greater detail.
The Index Merge optimization algorithm has the following known deficiencies:
If a range scan is possible on some key, the optimizer will not consider using Index Merge Union or Index Merge Sort-Union algorithms. For example, consider this query:
SELECT * FROM t1 WHERE (goodkey1 < 10 OR goodkey2 < 20) AND badkey < 30;
For this query, two plans are possible:
An Index Merge scan using the (goodkey1 < 10
OR goodkey2 < 20)
condition.
A range scan using the badkey < 30
condition.
However, the optimizer considers only the second plan.
If your query has a complex WHERE
clause
with deep
AND
/OR
nesting and MySQL doesn't choose the optimal plan, try
distributing terms using the following identity laws:
(x
ANDy
) ORz
= (x
ORz
) AND (y
ORz
) (x
ORy
) ANDz
= (x
ANDz
) OR (y
ANDz
)
Index Merge is not applicable to fulltext indexes. We plan to extend it to cover these in a future MySQL release.
The choice between different possible variants of the Index Merge access method and other access methods is based on cost estimates of various available options.
User Comments
Beware of having low selectivity indexes on your table. A complex AND/OR WHERE clause will surely make your query very very slow if Index_Merge optimization is being used with an intersect() algorithm.
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