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: http://www.sai.msu.su/~megera/postgres/gist/ltree/
Дата изменения: Unknown Дата индексирования: Sat Dec 22 07:15:59 2007 Кодировка: Поисковые слова: molecular cloud |
ltree - is a PostgreSQL contrib module which contains implementation of data types, indexed access methods and queries for data organized as a tree-like structures.
This module will works for PostgreSQL version 8.0. (version for 7.2 version is available from http://www.sai.msu.su/~megera/postgres/gist/ltree/ltree-7.2.tar.gz)
Example: 'Countries', 'Personal_Services'
A label path of a node is a sequence of one or more dot-separated labels
l1.l2...ln
, represents path from root to the node. The length of a label
path is limited by 65Kb, but size <= 2Kb is preferrable. We consider it's
not a strict limitation ( maximal size of label path for DMOZ catalogue -
http://www.dmoz.org, is about 240 bytes !)
Example: 'Top.Countries.Europe.Russia'
We introduce several datatypes:
ltree
.
*
) is used to specify
any number of labels (levels) and could be used at the beginning
and the end of lquery, for example, '*.Europe.*'
.
The following quantifiers are recognized for '*' (like in Perl):
{n} Match exactly n levels {n,} Match at least n levels {n,m} Match at least n but not more than m levels {,m} Match at maximum m levels (eq. to {0,m})
It is possible to use several modifiers at the end of a label:
@ Do case-insensitive label matching * Do prefix matching for a label % Don't account word separator '_' in label matching, that is 'Russian%' would match 'Russian_nations', but not 'Russian'
lquery
could contains logical '!' (NOT) at the beginning of the label
and '|' (OR) to specify possible alternatives for label matching.
Example of lquery:
Top.*{0,2}.sport*@.!football|tennis.Russ*|Spain
a) b) c) d) e)
A label path should
'Top'
'sport'
'football'
or 'tennis'
and
'Russ'
or strictly
matched 'Spain'
.
@,%,*
at the end of word. The meaning of modifiers are
the same as for lquery.
Example:
'Europe & Russia*@ & !Transportation'
Search paths contain words 'Europe'
and 'Russia*'
(case-insensitive) and not 'Transportation'
. Notice, the order of
words as they appear in label path is not important !
ltree
:
<,>,<=,>=,=, <>
ltree @> ltree
ltree <@ ltree
ltree ~ lquery,
lquery ~ ltree
ltree
satisfies
lquery
.ltree ? lquery[], lquery ? ltree[]
ltree satisfies at least one lquery
from array.
ltree @ ltxtquery,
ltxtquery @ ltree
- - return TRUE if node represented by
ltree
satisfies
ltxtquery
.
ltree || ltree,
ltree || text,
text || ltree
- - return concatenated
ltree
.
ltree
(ltree[]
):
ltree[] @> ltree,
ltree <@ ltree[]
ltree[]
contains an ancestor of ltree
.
ltree @> ltree[],
ltree[] <@ ltree
ltree[]
contains a descendant of ltree
.
ltree[] ~ lquery,
lquery ~ ltree[]
ltree[]
contains label paths matched lquery
.
ltree[] ? lquery[], lquery[] ? ltree[]
ltree[]
contains label paths matched at least one
lquery
from array.
ltree[] @ ltxtquery,
ltxtquery @ ltree[]
ltree[]
contains label paths matched ltxtquery
(full text search).
ltree[] ?@> ltree,
ltree ?<@ ltree[],
ltree[] ?~ lquery,
ltree[] ?@ ltxtquery
ltree[]
satisfies
corresponding condition and NULL in vice versa.
Operations <@, @>, @ and ~
have analogues -
^<@, ^@>, ^@, ^~
, which doesn't use indices !
ltree
:
<, <=, =, =>, >
ltree
:
<, <=, =, =>, >, @>, <@, @, ~, ?
create index path_gist_idx on test using gist (path);
ltree[]
:
ltree[]<@ ltree, ltree @> ltree[], @, ~, ?
.
create index path_gist_idx on test using gist (array_path);
ltree subltree(ltree, start, end) returns subpath of ltree from start (inclusive) until the end. # select subltree('Top.Child1.Child2',1,2); subltree -------- Child1
ltree subpath(ltree, OFFSET,LEN) ltree subpath(ltree, OFFSET) returns subpath of ltree from OFFSET (inclusive) with length LEN. If OFFSET is negative returns subpath starts that far from the end of the path. If LENGTH is omitted, returns everything to the end of the path. If LENGTH is negative, leaves that many labels off the end of the path. # select subpath('Top.Child1.Child2',1,2); subpath ------- Child1.Child2 # select subpath('Top.Child1.Child2',-2,1); subpath --------- Child1
int4 nlevel(ltree) - returns level of the node. # select nlevel('Top.Child1.Child2'); nlevel -------- 3
start, end, OFFSET, LEN
have meaning of
level of the node !
OFFSET
.
if OFFSET
is negative, than search begins from
|OFFSET|
levels from the end of the path.
SELECT index('0.1.2.3.5.4.5.6.8.5.6.8','5.6',3); index ------- 6 SELECT index('0.1.2.3.5.4.5.6.8.5.6.8','5.6',-4); index ------- 9
ltree
and text
.
# select lca('1.2.2.3','1.2.3.4.5.6'); lca ----- 1.2 # select lca('{la.2.3,1.2.3.4.5.6}') is null; ?column? ---------- f
cd contrib/ltree make make install make installcheck
createdb ltreetest psql ltreetest < /usr/local/pgsql/share/contrib/ltree.sql psql ltreetest < ltreetest.sql
TOP / | \ Science Hobbies Collections / | \ Astronomy Amateurs_Astronomy Pictures / \ | Astrophysics Cosmology Astronomy / | \ Galaxies Stars Astronauts
ltreetest=# select path from test where path <@ 'Top.Science'; path ------------------------------------ Top.Science Top.Science.Astronomy Top.Science.Astronomy.Astrophysics Top.Science.Astronomy.Cosmology (4 rows)
ltreetest=# select path from test where path ~ '*.Astronomy.*'; path ----------------------------------------------- Top.Science.Astronomy Top.Science.Astronomy.Astrophysics Top.Science.Astronomy.Cosmology Top.Collections.Pictures.Astronomy Top.Collections.Pictures.Astronomy.Stars Top.Collections.Pictures.Astronomy.Galaxies Top.Collections.Pictures.Astronomy.Astronauts (7 rows) ltreetest=# select path from test where path ~ '*.!pictures@.*.Astronomy.*'; path ------------------------------------ Top.Science.Astronomy Top.Science.Astronomy.Astrophysics Top.Science.Astronomy.Cosmology (3 rows)
ltreetest=# select path from test where path @ 'Astro*% & !pictures@'; path ------------------------------------ Top.Science.Astronomy Top.Science.Astronomy.Astrophysics Top.Science.Astronomy.Cosmology Top.Hobbies.Amateurs_Astronomy (4 rows) ltreetest=# select path from test where path @ 'Astro* & !pictures@'; path ------------------------------------ Top.Science.Astronomy Top.Science.Astronomy.Astrophysics Top.Science.Astronomy.Cosmology (3 rows)
ltreetest=# select subpath(path,0,2)||'Space'||subpath(path,2) from test where path <@ 'Top.Science.Astronomy'; ?column? ------------------------------------------ Top.Science.Space.Astronomy Top.Science.Space.Astronomy.Astrophysics Top.Science.Space.Astronomy.Cosmology (3 rows)We could create SQL-function:
CREATE FUNCTION ins_label(ltree, int4, text) RETURNS ltree AS 'select subpath($1,0,$2) || $3 || subpath($1,$2);' LANGUAGE SQL WITH (ISCACHABLE);and previous select could be rewritten as:
ltreetest=# select ins_label(path,2,'Space') from test where path <@ 'Top.Science.Astronomy'; ins_label ------------------------------------------ Top.Science.Space.Astronomy Top.Science.Space.Astronomy.Astrophysics Top.Science.Space.Astronomy.Cosmology (3 rows)Or with another arguments:
CREATE FUNCTION ins_label(ltree, ltree, text) RETURNS ltree AS 'select subpath($1,0,nlevel($2)) || $3 || subpath($1,nlevel($2));' LANGUAGE SQL WITH (ISCACHABLE); ltreetest=# select ins_label(path,'Top.Science'::ltree,'Space') from test where path <@ 'Top.Science.Astronomy'; ins_label ------------------------------------------ Top.Science.Space.Astronomy Top.Science.Space.Astronomy.Astrophysics Top.Science.Space.Astronomy.Cosmology (3 rows)Move a node, for example, Astronomy, such that, TOP.Science.Astronomy becomes to be under TOP as TOP.Astronomy
# select * from qq order by l; l ----------------------------- TOP.Science.Astronomy TOP.Science.Astronomy.1 TOP.Science.Astronomy.1.1 TOP.Science.Astronomy.1.2 TOP.Science.Astronomy.2 TOP.Science.Astronomy.3 TOP.Science.Astronomy.3.1 TOP.Science.Astronomy.3.1.1 TOP.Science.Astronomy.3.1.2 TOP.Science.Physics TOP.Science.Physics.1 TOP.Science.Physics.2 TOP.bar.2 TOP.foo TOP.foo.1 TOP.foo.2 (16 rows) # update qq set l = 'TOP' || subpath(l, nlevel('TOP.Science.Astronomy')-1) where l <@ 'TOP.Science.Astronomy'; UPDATE 9 # select * from qq order by l; l ----------------------- TOP.Astronomy TOP.Astronomy.1 TOP.Astronomy.1.1 TOP.Astronomy.1.2 TOP.Astronomy.2 TOP.Astronomy.3 TOP.Astronomy.3.1 TOP.Astronomy.3.1.1 TOP.Astronomy.3.1.2 TOP.Science.Physics TOP.Science.Physics.1 TOP.Science.Physics.2 TOP.bar.2 TOP.foo TOP.foo.1 TOP.foo.2 (16 rows)
To get more feeling from our ltree module you could download dmozltree-eng.sql.gz (about 3Mb tar.gz archive containing 300,274 nodes), available from http://www.sai.msu.su/~megera/postgres/gist/ltree/dmozltree-eng.sql.gz, which is DMOZ catalogue, prepared for use with ltree. Setup your test database (dmoz), load ltree module and issue command:
zcat dmozltree-eng.sql.gz| psql dmoz
Data will be loaded into database dmoz and all indices will be created.
select count(*) from dmoz;
count -------- 300274 (1 row)
select path from dmoz where path ~ 'Top.Adult.Arts.Animation.*{1}';
path ----------------------------------- Top.Adult.Arts.Animation.Cartoons Top.Adult.Arts.Animation.Anime (2 rows)
select path as parentpath , (select count(*)-1 from dmoz where path <@ p.path) as count from dmoz p where path ~ 'Top.Adult.Arts.Animation.*{1}';
parentpath | count -----------------------------------+------- Top.Adult.Arts.Animation.Cartoons | 2 Top.Adult.Arts.Animation.Anime | 61 (2 rows)
select path from dmoz where path @> 'Top.Adult.Arts.Animation' order by path asc;
path -------------------------- Top Top.Adult Top.Adult.Arts Top.Adult.Arts.Animation (4 rows)
select path, (select count(*)-1 from dmoz where path <@ p.path) as count from dmoz p where path @> 'Top.Adult.Arts.Animation' order by path asc;
path | count --------------------------+-------- Top | 300273 Top.Adult | 4913 Top.Adult.Arts | 339 Top.Adult.Arts.Animation | 65 (4 rows)
select path, nlevel(path) - nlevel('Top.Adult.Arts.Animation') as level from dmoz where path ~ 'Top.Adult.Arts.Animation.*{1,2}' order by path asc;
path | level ------------------------------------------------+------- Top.Adult.Arts.Animation.Anime | 1 Top.Adult.Arts.Animation.Anime.Fan_Works | 2 Top.Adult.Arts.Animation.Anime.Games | 2 Top.Adult.Arts.Animation.Anime.Genres | 2 Top.Adult.Arts.Animation.Anime.Image_Galleries | 2 Top.Adult.Arts.Animation.Anime.Multimedia | 2 Top.Adult.Arts.Animation.Anime.Resources | 2 Top.Adult.Arts.Animation.Anime.Titles | 2 Top.Adult.Arts.Animation.Cartoons | 1 Top.Adult.Arts.Animation.Cartoons.AVS | 2 Top.Adult.Arts.Animation.Cartoons.Members | 2 (11 rows)
Query | Rows | Time (ms) index | Time (ms) no index |
Q0 | 1 | NA | 1453.44 |
Q1 | 2 | 0.49 | 1001.54 |
Q2 | 2 | 1.48 | 3009.39 |
Q3 | 4 | 0.55 | 906.98 |
Q4 | 4 | 24385.07 | 4951.91 |
Q5 | 11 | 0.85 | 1003.23 |
ltree
(ltree[]
) and full text searching.
We'll appreciate your input. So far, below some (rather obvious) results:
Mar 28, 2003 Added finctions index(ltree,ltree,offset), text2ltree(text), ltree2text(ltree) Feb 7, 2003 Add ? operation Fix ~ operation bug: eg '1.1.1' ~ '*.1' Optimize index storage Aug 9, 2002 Fixed very stupid but important bug :-) July 31, 2002 Now works on 64-bit platforms. Added function lca - lowest common ancestor Version for 7.2 is distributed as separate package - http://www.sai.msu.su/~megera/postgres/gist/ltree/ltree-7.2.tar.gz July 13, 2002 Initial release.
A hierarchical data structure (tree) is a set of nodes.
Each node has a signature (LPS) of a fixed size, which is a hashed label path of
that node.
Traversing a tree we could *certainly* prune branches if
LQS (bitwise AND) LPS != LQS
where LQS is a signature of lquery
or ltxtquery
,
obtained in the same way as LPS.
ltree[]
:
For array of ltree
LPS is a bitwise OR-ed signatures of *ALL* children reachable from that
node. Signatures are stored in RD-tree, implemented using GiST, which provides
indexed access.
ltree
:
For ltree
we store LPS in a B-tree, implemented using GiST.
Each node entry is represented by (left_bound, signature, right_bound),
so that we could speedup operations <, <=, =, =>, >
using left_bound, right_bound and prune branches of a tree using signature.