F.17. hstore — hstore key/value datatype #
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 semi-structured data. Keys and values are simply text strings.
This module is considered “trusted”, that is, it can be installed by non-superusers who have CREATE
privilege on the current database.
F.17.1. 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 "1-a" => "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. Double-quote 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 ---------- "a"=>"1"
A value (but not a key) can be an SQL NULL
. For example:
key => NULL
The NULL
keyword is case-insensitive. Double-quote the NULL
to treat it as the ordinary string “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 single-quote 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.17.2. hstore
Operators and Functions #
The operators provided by the hstore
module are shown in Table F.6, the functions in Table F.7.
Table F.6. hstore
Operators
Operator Description Example(s) |
---|
Returns value associated with given key, or
|
Returns values associated with given keys, or
|
Concatenates two
|
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
|
Table F.7. hstore
Functions
In addition to these operators and functions, values of the hstore
type can be subscripted, allowing them to act like associative arrays. Only a single subscript of type text
can be specified; it is interpreted as a key and the corresponding value is fetched or stored. For example,
CREATE TABLE mytable (h hstore); INSERT INTO mytable VALUES ('a=>b, c=>d'); SELECT h['a'] FROM mytable; h --- b (1 row) UPDATE mytable SET h['c'] = 'new'; SELECT h FROM mytable; h ---------------------- "a"=>"b", "c"=>"new" (1 row)
A subscripted fetch returns NULL
if the subscript is NULL
or that key does not exist in the hstore
. (Thus, a subscripted fetch is not greatly different from the ->
operator.) A subscripted update fails if the subscript is NULL
; otherwise, it replaces the value for that key, adding an entry to the hstore
if the key does not already exist.
F.17.3. 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.17.4. Examples #
Add a key, or update an existing key with a new value:
UPDATE tab SET h['c'] = '3';
Another way to do the same thing is:
UPDATE tab SET h = h || hstore('c', '3');
If multiple keys are to be added or changed in one operation, the concatenation approach is more efficient than subscripting:
UPDATE tab SET h = h || hstore(array['q', 'w'], array['11', '12']);
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 --------------------------------------------- "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 ------+------+------ 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 ------+------+------ 123 | foo | baz (1 row)
F.17.5. 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:
CREATE TABLE stat AS SELECT (each(h)).key, (each(h)).value 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 -----------+------- line | 883 query | 207 pos | 203 node | 202 space | 197 status | 195 public | 194 title | 190 org | 189 ...................
F.17.6. 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 old-format 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.17.7. 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 extension for PL/Python is called hstore_plpython3u
. If you use it, 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 installation-time security hazards if a transform extension's schema contains objects defined by a hostile user.
F.17.8. Authors #
Oleg Bartunov <oleg@sai.msu.su>
, Moscow, Moscow University, Russia
Teodor Sigaev <teodor@sigaev.ru>
, Moscow, Delta-Soft Ltd., Russia
Additional enhancements by Andrew Gierth <andrew@tao11.riddles.org.uk>
, United Kingdom