PostgreSQL
F.16. hstore
[idx1.11.7.25.2 .indexterm]#
This module implements the hstore
data type for storing sets of key/value pairs within a single PostgreSQL value. This can be useful in various scenarios, such as rows with many attributes that are rarely examined, or semixstructured data. Keys and values are simply text strings.
This module is considered “[.quote]#trusted”#, that is, it can be installed by nonxsuperusers who have CREATE
privilege on the current database.
F.16.1. hstore
External Representation
The text representation of an hstore
, used for input and output, includes zero or more `key `=> `value` pairs separated by commas. Some examples:
k => v
foo => bar, baz => whatever
"1xa" => "anything at all"
The order of the pairs is not significant (and may not be reproduced on output). Whitespace between pairs or around the =>
sign is ignored. Doublexquote keys and values that include whitespace, commas, `=`s or `>`s. To include a double quote or a backslash in a key or value, escape it with a backslash.
Each key in an hstore
is unique. If you declare an hstore
with duplicate keys, only one will be stored in the hstore
and there is no guarantee as to which will be kept:
SELECT 'a=>1,a=>2'::hstore;
hstore
xxxxxxxxxx
"a"=>"1"
A value (but not a key) can be an SQL NULL
. For example:
key => NULL
The NULL
keyword is casexinsensitive. Doublexquote the NULL
to treat it as the ordinary string “[.quote]#NULL”#.
Note
Keep in mind that the hstore
text format, when used for input, applies before any required quoting or escaping. If you are passing an hstore
literal via a parameter, then no additional processing is needed. But if you’re passing it as a quoted literal constant, then any singlexquote characters and (depending on the setting of the standard_conforming_strings
configuration parameter) backslash characters need to be escaped correctly. See Section 4.1.2.1 for more on the handling of string constants.
On output, double quotes always surround keys and values, even when it’s not strictly necessary.
F.16.2. hstore
Operators and Functions
Table F.7. hstore
Operators
Operator Description Example(s) |
---|
Returns value associated with given key, or
|
Returns values associated with given keys, or
|
Concatenates two `hstore`s.
|
Does
|
Does
|
Does
|
Does left operand contain right?
|
Is left operand contained in right?
|
Deletes key from left operand.
|
Deletes keys from left operand.
|
Deletes pairs from left operand that match pairs in the right operand.
|
Replaces fields in the left operand (which must be a composite type) with matching values from
|
Converts
|
Converts
|
+
Note
Prior to PostgreSQL 8.2, the containment operators @>
and <@
were called @
and ~
, respectively. These names are still available, but are deprecated and will eventually be removed. Notice that the old names are reversed from the convention formerly followed by the core geometric data types!
Table F.8. hstore
Functions
Function Description Example(s) |
---|
[idx1.11.7.25.6.5.2.2.1.1.1.1 .indexterm]# Constructs an
|
Constructs an
|
Constructs an
|
Makes a singlexitem
|
[idx1.11.7.25.6.5.2.2.5.1.1.1 .indexterm]# Extracts an `hstore’s keys as an array.
|
[idx1.11.7.25.6.5.2.2.6.1.1.1 .indexterm]# Extracts an `hstore’s keys as a set.
|
[idx1.11.7.25.6.5.2.2.7.1.1.1 .indexterm]# Extracts an `hstore’s values as an array.
|
[idx1.11.7.25.6.5.2.2.8.1.1.1 .indexterm]# Extracts an `hstore’s values as a set.
|
[idx1.11.7.25.6.5.2.2.9.1.1.1 .indexterm]# Extracts an `hstore’s keys and values as an array of alternating keys and values.
|
[idx1.11.7.25.6.5.2.2.10.1.1.1 .indexterm]# Extracts an `hstore’s keys and values as a twoxdimensional array.
|
[idx1.11.7.25.6.5.2.2.11.1.1.1 .indexterm]# Converts an This function is used implicitly when an
|
[idx1.11.7.25.6.5.2.2.12.1.1.1 .indexterm]# Converts an This function is used implicitly when an
|
[idx1.11.7.25.6.5.2.2.13.1.1.1 .indexterm]# Converts an
|
[idx1.11.7.25.6.5.2.2.14.1.1.1 .indexterm]# Converts an
|
[idx1.11.7.25.6.5.2.2.15.1.1.1 .indexterm]# Extracts a subset of an
|
[idx1.11.7.25.6.5.2.2.16.1.1.1 .indexterm]# Extracts an `hstore’s keys and values as a set of records.
|
[idx1.11.7.25.6.5.2.2.17.1.1.1 .indexterm]# Does
|
[idx1.11.7.25.6.5.2.2.18.1.1.1 .indexterm]# Does
|
[idx1.11.7.25.6.5.2.2.19.1.1.1 .indexterm]# Deletes pair with matching key.
|
Deletes pairs with matching keys.
|
Deletes pairs matching those in the second argument.
|
[idx1.11.7.25.6.5.2.2.22.1.1.1 .indexterm]# Replaces fields in the left operand (which must be a composite type) with matching values from
|
+
F.16.3. Indexes
hstore
has GiST and GIN index support for the @>
, ?
, ?&
and ?\|
operators. For example:
CREATE INDEX hidx ON testhstore USING GIST (h);
CREATE INDEX hidx ON testhstore USING GIN (h);
gist_hstore_ops
GiST opclass approximates a set of key/value pairs as a bitmap signature. Its optional integer parameter siglen
determines the signature length in bytes. The default length is 16 bytes. Valid values of signature length are between 1 and 2024 bytes. Longer signatures lead to a more precise search (scanning a smaller fraction of the index and fewer heap pages), at the cost of a larger index.
Example of creating such an index with a signature length of 32 bytes:
CREATE INDEX hidx ON testhstore USING GIST (h gist_hstore_ops(siglen=32));
hstore
also supports btree
or hash
indexes for the =
operator. This allows hstore
columns to be declared UNIQUE
, or to be used in GROUP BY
, ORDER BY
or DISTINCT
expressions. The sort ordering for hstore
values is not particularly useful, but these indexes may be useful for equivalence lookups. Create indexes for =
comparisons as follows:
CREATE INDEX hidx ON testhstore USING BTREE (h);
CREATE INDEX hidx ON testhstore USING HASH (h);
F.16.4. Examples
Add a key, or update an existing key with a new value:
UPDATE tab SET h = h \|\| hstore('c', '3');
Delete a key:
UPDATE tab SET h = delete(h, 'k1');
Convert a record
to an hstore
:
CREATE TABLE test (col1 integer, col2 text, col3 text);
INSERT INTO test VALUES (123, 'foo', 'bar');
SELECT hstore(t) FROM test AS t;
hstore
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
"col1"=>"123", "col2"=>"foo", "col3"=>"bar"
(1 row)
Convert an hstore
to a predefined record
type:
CREATE TABLE test (col1 integer, col2 text, col3 text);
SELECT * FROM populate_record(null::test,
'"col1"=>"456", "col2"=>"zzz"');
col1 \| col2 \| col3
xxxxxx+xxxxxx+xxxxxx
456 \| zzz \|
(1 row)
Modify an existing record using the values from an hstore
:
CREATE TABLE test (col1 integer, col2 text, col3 text);
INSERT INTO test VALUES (123, 'foo', 'bar');
SELECT (r).* FROM (SELECT t #= '"col3"=>"baz"' AS r FROM test t) s;
col1 \| col2 \| col3
xxxxxx+xxxxxx+xxxxxx
123 \| foo \| baz
(1 row)
F.16.5. Statistics
The hstore
type, because of its intrinsic liberality, could contain a lot of different keys. Checking for valid keys is the task of the application. The following examples demonstrate several techniques for checking keys and obtaining statistics.
Simple example:
SELECT * FROM each('aaa=>bq, b=>NULL, ""=>1');
Using a table:
SELECT (each(h)).key, (each(h)).value INTO stat FROM testhstore;
Online statistics:
SELECT key, count(*) FROM
(SELECT (each(h)).key FROM testhstore) AS stat
GROUP BY key
ORDER BY count DESC, key;
key \| count
xxxxxxxxxxx+xxxxxxx
line \| 883
query \| 207
pos \| 203
node \| 202
space \| 197
status \| 195
public \| 194
title \| 190
org \| 189
...................
F.16.6. Compatibility
As of PostgreSQL 9.0, hstore
uses a different internal representation than previous versions. This presents no obstacle for dump/restore upgrades since the text representation (used in the dump) is unchanged.
In the event of a binary upgrade, upward compatibility is maintained by having the new code recognize oldxformat data. This will entail a slight performance penalty when processing data that has not yet been modified by the new code. It is possible to force an upgrade of all values in a table column by doing an UPDATE
statement as follows:
UPDATE tablename SET hstorecol = hstorecol \|\| '';
Another way to do it is:
ALTER TABLE tablename ALTER hstorecol TYPE hstore USING hstorecol \|\| '';
The ALTER TABLE
method requires an ACCESS EXCLUSIVE
lock on the table, but does not result in bloating the table with old row versions.
F.16.7. Transforms
Additional extensions are available that implement transforms for the hstore
type for the languages PL/Perl and PL/Python. The extensions for PL/Perl are called hstore_plperl
and hstore_plperlu
, for trusted and untrusted PL/Perl. If you install these transforms and specify them when creating a function, hstore
values are mapped to Perl hashes. The extensions for PL/Python are called hstore_plpythonu
, hstore_plpython2u
, and hstore_plpython3u
(see Section 45.1 for the PL/Python naming convention). If you use them, hstore
values are mapped to Python dictionaries.
Caution
It is strongly recommended that the transform extensions be installed in the same schema as hstore
. Otherwise there are installationxtime security hazards if a transform extension’s schema contains objects defined by a hostile user.
F.16.8. Authors
Oleg Bartunov <`
[email protected]>`, Moscow, Moscow University, Russia
Teodor Sigaev <`
[email protected]>`, Moscow, DeltaxSoft Ltd., Russia
Additional enhancements by Andrew Gierth <`
[email protected]>`, United Kingdom
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