B-tree, Hash, GiST, SP-GiST, GIN and BRIN.
Each index type uses a different
algorithm that is best suited to different types of queries.
- By default, the CREATE INDEX command creates
+ By default, the CREATE
+ INDEX command creates
B-tree indexes, which fit the most common situations.
+ The other index types are selected by writing the keyword
+ USING followed by the index type name.
+ For example, to create a Hash index:
+CREATE INDEX name ON table USING HASH (column );
+
+
+
B-Tree
+
- B-t ree
+ B-T ree
index
+
B-trees can handle equality and range queries on data that can be sorted
into some ordering.
In particular, the
PostgreSQL query planner
will consider using a B-tree index whenever an indexed column is
involved in a comparison using one of these operators:
-
- <
- <=
- =
- >=
- >
-
+
+< <= = >= >
+
Constructs equivalent to combinations of these operators, such as
BETWEEN and IN , can also be implemented with
This is not always faster than a simple scan and sort, but it is
often helpful.
+
+
+
+
Hash
hash
index
- Hash indexes can only handle simple equality comparisons.
+
+ Hash indexes store a 32-bit hash code derived from the
+ value of the indexed column. Hence,
+ such indexes can only handle simple equality comparisons.
The query planner will consider using a hash index whenever an
indexed column is involved in a comparison using the
- = operator.
- The following command is used to create a hash index:
+ equal operator:
+
-CREATE INDEX name ON table USING HASH (column );
+=
+
+
+
+
GiST
GiST
index
+
GiST indexes are not a single kind of index, but rather an infrastructure
within which many different indexing strategies can be implemented.
Accordingly, the particular operators with which a GiST index can be
for several two-dimensional geometric data types, which support indexed
queries using these operators:
-
- <<
- &<
- &>
- >>
- <<|
- &<|
- |&>
- |>>
- @>
- <@
- ~=
- &&
-
+
+<< &< &> >> <<| &<| |&> |>> @> <@ ~= &&
+
(See for the meaning of
these operators.)
In , operators that can be
used in this way are listed in the column Ordering Operators
.
+
+
+
+
SP-GiST
SP-GiST
index
+
SP-GiST indexes, like GiST indexes, offer an infrastructure that supports
various kinds of searches. SP-GiST permits implementation of a wide range
of different non-balanced disk-based data structures, such as quadtrees,
for two-dimensional points, which support indexed
queries using these operators:
-
- <<
- >>
- ~=
- <@
- <^
- >^
-
+
+<< >> ~= <@ <<| |>>
+
(See for the meaning of
these operators.)
Like GiST, SP-GiST supports nearest-neighbor
searches.
For SP-GiST operator classes that support distance ordering, the
- corresponding operator is specifi ed in the Ordering Operators
+ corresponding operator is list ed in the Ordering Operators
column in .
+
+
+
+
GIN
GIN
index
+
GIN indexes are inverted indexes
which are appropriate for
data values that contain multiple component values, such as arrays. An
inverted index contains a separate entry for each component value, and
PostgreSQL includes a GIN operator class
for arrays, which supports indexed queries using these operators:
-
- <@
- @>
- =
- &&
-
+
+<@ @> = &&
+
(See for the meaning of
these operators.)
classes are available in the contrib collection or as separate
projects. For more information see .
+
+
+
+
BRIN
BRIN
index
+
BRIN indexes (a shorthand for Block Range INdexes) store summaries about
the values stored in consecutive physical block ranges of a table.
+ Thus, they are most effective for columns whose values are well-correlated
+ with the physical order of the table rows.
Like GiST, SP-GiST and GIN,
BRIN can support many different indexing strategies,
and the particular operators with which a BRIN index can be used
values in the column for each block range. This supports indexed queries
using these operators:
-
- <
- <=
- =
- >=
- >
-
+
+< <= = >= >
+
The BRIN operator classes included in the standard distribution are
documented in .
For more information see .
+