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d49fa4c866
Rembialkowski, with some additional fixes by myself. |
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data | ||
expected | ||
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crc32.c | ||
crc32.h | ||
hstore_gist.c | ||
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hstore_op.c | ||
hstore.h | ||
hstore.sql.in | ||
Makefile | ||
README.hstore | ||
uninstall_hstore.sql |
Hstore - contrib module for storing (key,value) pairs [Online version] (http://www.sai.msu.su/~megera/oddmuse/index.cgi?Hstore) Motivation Many attributes rarely searched, semistructural data, lazy DBA Authors * Oleg Bartunov <oleg@sai.msu.su>, Moscow, Moscow University, Russia * Teodor Sigaev <teodor@sigaev.ru>, Moscow, Delta-Soft Ltd.,Russia LEGAL NOTICES: This module is released under BSD license (as PostgreSQL itself) Operations * hstore -> text - get value , perl analogy $h{key} select 'a=>q, b=>g'->'a'; ? ------ q * hstore || hstore - concatenation, perl analogy %a=( %b, %c ); regression=# select 'a=>b'::hstore || 'c=>d'::hstore; ?column? -------------------- "a"=>"b", "c"=>"d" (1 row) but, notice regression=# select 'a=>b'::hstore || 'a=>d'::hstore; ?column? ---------- "a"=>"d" (1 row) * text => text - creates hstore type from two text strings select 'a'=>'b'; ?column? ---------- "a"=>"b" * hstore @> hstore - contains operation, check if left operand contains right. regression=# select 'a=>b, b=>1, c=>NULL'::hstore @> 'a=>c'; ?column? ---------- f (1 row) regression=# select 'a=>b, b=>1, c=>NULL'::hstore @> 'b=>1'; ?column? ---------- t (1 row) * hstore <@ hstore - contained operation, check if left operand is contained in right (Before PostgreSQL 8.2, the containment operators @> and <@ were respectively called @ and ~. These names are still available, but are deprecated and will eventually be retired. Notice that the old names are reversed from the convention formerly followed by the core geometric datatypes!) Functions * akeys(hstore) - returns all keys from hstore as array regression=# select akeys('a=>1,b=>2'); akeys ------- {a,b} * skeys(hstore) - returns all keys from hstore as strings regression=# select skeys('a=>1,b=>2'); skeys ------- a b * avals(hstore) - returns all values from hstore as array regression=# select avals('a=>1,b=>2'); avals ------- {1,2} * svals(hstore) - returns all values from hstore as strings regression=# select svals('a=>1,b=>2'); svals ------- 1 2 * delete (hstore,text) - delete (key,value) from hstore if key matches argument. regression=# select delete('a=>1,b=>2','b'); delete ---------- "a"=>"1" * each(hstore) return (key, value) pairs regression=# select * from each('a=>1,b=>2'); key | value -----+------- a | 1 b | 2 * exist (hstore,text) - returns 'true if key is exists in hstore and false otherwise. regression=# select exist('a=>1','a'); exist ---------- t * defined (hstore,text) - returns true if key is exists in hstore and its value is not NULL. regression=# select defined('a=>NULL','a'); defined --------- f Indices Module provides index support for '@>' and '<@' operations. create index hidx on testhstore using gist(h); Note Use parenthesis in select below, because priority of 'is' is higher than that of '->' select id from entrants where (info->'education_period') is not null; Examples * add key update tt set h=h||'c=>3'; * delete key update tt set h=delete(h,'k1'); * Statistics hstore type, because of its intrinsic liberality, could contain a lot of different keys. Checking for valid keys is the task of application. Examples below demonstrate several techniques how to check keys statistics. o simple example select * from each('aaa=>bq, b=>NULL, ""=>1 '); o using table select (each(h)).key, (each(h)).value into stat from testhstore ; o online stat 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 ...................