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Therum module provides an access method to work with aRUM index. It is basedon theGIN access method's code.

AGIN index allows performing fast full-text search usingtsvector andtsquery types. But full-text search with a GIN index has several problems:

• Slow ranking. It needs positional information about lexemes to do ranking. AGINindex doesn't store positions of lexemes. So after index scanning, we need anadditional heap scan to retrieve lexeme positions.
• Slow phrase search with aGIN index. This problem relates to the previousproblem. It needs positional information to perform phrase search.
• Slow ordering by timestamp. AGIN index can't store some related informationin the index with lexemes. So it is necessary to perform an additional heap scan.

RUM solves these problems by storing additional information in a posting tree.For example, positional information of lexemes or timestamps. You can get anidea ofRUM with the following diagram:

A drawback ofRUM is that it has slower build and insert times thanGIN.This is because we need to store additional information besides keys and becauseRUM uses generic Write-Ahead Log (WAL) records.

This module is available under thelicense similar toPostgreSQL.

Before building and installingrum, you should ensure following are installed:

• PostgreSQL version is 9.6+.

Typical installation procedure may look like this:

$ git clone https://github.com/postgrespro/rum$ cd rum$ make USE_PGXS=1$ make USE_PGXS=1 install$ make USE_PGXS=1 installcheck$ psql DB -c "CREATE EXTENSION rum;"

$ USE_PGXS=1 pgxn install rum

Important: Don't forget to set thePG_CONFIG variable in case you want to testRUM on a custom build of PostgreSQL. Read morehere.

Therum module provides next operators.

The last three operations also work for types timestamptz, int2, int4, int8, float4, float8,money and oid.

rum provides the following operator classes.

For type:tsvector

This operator class storestsvector lexemes with positional information. It supportsordering by the<=> operator and prefix search. See the example below.

Let us assume we have the table:

CREATETABLEtest_rum(ttext, a tsvector);CREATETRIGGERtsvectorupdateBEFOREUPDATEOR INSERTON test_rumFOR EACH ROW EXECUTE PROCEDURE tsvector_update_trigger('a','pg_catalog.english','t');INSERT INTO test_rum(t)VALUES ('The situation is most beautiful');INSERT INTO test_rum(t)VALUES ('It is a beautiful');INSERT INTO test_rum(t)VALUES ('It looks like a beautiful place');

To create therum index we need create an extension:

CREATE EXTENSION rum;

Then we can create new index:

CREATEINDEXrumidxON test_rum USING rum (a rum_tsvector_ops);

And we can execute the following queries:

SELECT t, a<=> to_tsquery('english','beautiful | place')AS rankFROM test_rumWHERE a @@ to_tsquery('english','beautiful | place')ORDER BY a<=> to_tsquery('english','beautiful | place');                t                |  rank---------------------------------+--------- It lookslike a beautiful place |8.22467 The situation is most beautiful |16.4493 It is a beautiful               |16.4493(3 rows)SELECT t, a<=> to_tsquery('english','place | situation')AS rankFROM test_rumWHERE a @@ to_tsquery('english','place | situation')ORDER BY a<=> to_tsquery('english','place | situation');                t                |  rank---------------------------------+--------- The situation is most beautiful |16.4493 It lookslike a beautiful place |16.4493(2 rows)

For type:tsvector

This operator class stores a hash oftsvector lexemes with positional information.It supports ordering by the<=> operator. Itdoesn't support prefix search.

For types: int2, int4, int8, float4, float8, money, oid, time, timetz, date,interval, macaddr, inet, cidr, text, varchar, char, bytea, bit, varbit,numeric, timestamp, timestamptz

Supported operations:<,<=,=,>=,> for all types and<=>,<=| and|=> for int2, int4, int8, float4, float8, money, oid,timestamp and timestamptz types.

This operator supports ordering by the<=>,<=| and|=> operators. It can be used withrum_tsvector_addon_ops,rum_tsvector_hash_addon_ops' andrum_anyarray_addon_ops` operator classes.

For type:tsvector

This operator class storestsvector lexemes with any supported by modulefield. See the example below.

Let us assume we have the table:

CREATETABLEtsts (idint, t tsvector, dtimestamp);\copy tstsfrom'rum/data/tsts.data'CREATEINDEXtsts_idxON tsts USING rum (t rum_tsvector_addon_ops, d)    WITH (attach='d', to='t');

Now we can execute the following queries:

EXPLAIN (costs off)SELECT id, d, d<=>'2016-05-16 14:21:25'FROM tstsWHERE t @@'wr&qh'ORDER BY d<=>'2016-05-16 14:21:25'LIMIT5;                                    QUERY PLAN-----------------------------------------------------------------------------------Limit->  Index Scan using tsts_idxon tsts         Index Cond: (t @@'''wr'' &''qh'''::tsquery)Order By: (d<=>'Mon May 16 14:21:25 2016'::timestamp without time zone)(4 rows)SELECT id, d, d<=>'2016-05-16 14:21:25'FROM tstsWHERE t @@'wr&qh'ORDER BY d<=>'2016-05-16 14:21:25'LIMIT5; id  |                d                |   ?column?-----+---------------------------------+---------------355 | Mon May1614:21:22.3267242016 |2.673276354 | Mon May1613:21:22.3267242016 |3602.673276371 | Tue May1706:21:22.3267242016 |57597.326724406 | Wed May1817:21:22.3267242016 |183597.326724415 | Thu May1902:21:22.3267242016 |215997.326724(5 rows)

Warning: Currently RUM has bogus behaviour when one creates an index using ordering over pass-by-reference additional information. This is due to the fact that posting trees have fixed length right bound and fixed length non-leaf posting items. It isn't allowed to create such indexes.

For type:tsvector

This operator class stores a hash oftsvector lexemes with any supported by modulefield.

Itdoesn't support prefix search.

For type:tsquery

It stores branches of query tree in additional information. For example, we have the table:

CREATETABLEquery (q tsquery, tagtext);INSERT INTO queryVALUES ('supernova & star','sn'),    ('black','color'),    ('big & bang & black & hole','bang'),    ('spiral & galaxy','shape'),    ('black & hole','color');CREATEINDEXquery_idxON query USING rum(q);

Now we can execute the following fast query:

SELECT*FROM queryWHERE to_tsvector('black holes never exists before we think about them') @@ q;        q         |  tag------------------+-------'black'          | color'black' &'hole' | color(2 rows)

For type:anyarray

This operator class storesanyarray elements with length of the array.It supports operators&&,@>,<@,=,% operators. It also supports ordering by<=> operator.For example, we have the table:

CREATETABLEtest_array (i int2[]);INSERT INTO test_arrayVALUES ('{}'), ('{0}'), ('{1,2,3,4}'), ('{1,2,3}'), ('{1,2}'), ('{1}');CREATEINDEXidx_arrayON test_array USING rum (i rum_anyarray_ops);

Now we can execute the query using index scan:

SET enable_seqscan TO off;EXPLAIN (COSTS OFF)SELECT*FROM test_arrayWHERE i &&'{1}'ORDER BY i<=>'{1}'ASC;                QUERY PLAN------------------------------------------ Index Scan using idx_arrayon test_array   Index Cond: (i &&'{1}'::smallint[])Order By: (i<=>'{1}'::smallint[])(3 rowsSELECT*FROM test_arrayWHERE i &&'{1}'ORDER BY i<=>'{1}'ASC;     i----------- {1} {1,2} {1,2,3} {1,2,3,4}(4 rows)

For type:anyarray

This operator class storesanyarray elements with any supported by modulefield.

• Allow multiple additional information (lexemes positions + timestamp).
• Improve ranking function to support TF/IDF.
• Improve insert time.
• Improve GENERIC WAL to support shift (PostgreSQL core changes).

Alexander Korotkova.korotkov@postgrespro.ru Postgres Professional Ltd., Russia

Oleg Bartunovo.bartunov@postgrespro.ru Postgres Professional Ltd., Russia

Teodor Sigaevteodor@postgrespro.ru Postgres Professional Ltd., Russia

Arthur Zakirova.zakirov@postgrespro.ru Postgres Professional Ltd., Russia

Pavel Borisovp.borisov@postgrespro.com Postgres Professional Ltd., Russia

Maxim Orlovm.orlov@postgrespro.ru Postgres Professional Ltd., Russia