This is a document for PGroonga 2.X. See PGroonga 1.x document when you're using old PGroonga.

pgroonga_table_name function

Summary

pgroonga_table_name function converts PGroonga index name to Groonga table name. Groonga table name is useful select Groonga command by pgroonga_command function.

You can use weight feature by select Groonga command.

Syntax

Here is the syntax of this function:

text pgroonga_table_name(pgroonga_index_name)

pgroonga_index_name is a text type value. It's an index name to be converted to Groonga table name. The index should be created with USING pgroonga.

pgroonga_table_name returns Groonga table name for pgroonga_index_name as text type value. If pgroonga_index_name doesn't exist or isn't a PGroonga index, pgroonga_table_name raises an error.

Usage

Here are sample schema and data. In the schema, both search target data and output data are index target columns:

CREATE TABLE terms (
  id integer,
  title text,
  content text,
  tag varchar(256)
);

CREATE INDEX pgroonga_terms_index
          ON terms
       USING pgroonga (title, content, tag);

INSERT INTO terms
     VALUES (1,
             'PostgreSQL',
             'PostgreSQL is a relational database management system.',
             'PostgreSQL');
INSERT INTO terms
     VALUES (2,
             'Groonga',
             'Groonga is a fast full text search engine that supports all languages.',
             'Groonga');
INSERT INTO terms
     VALUES (3,
             'PGroonga',
             'PGroonga is a PostgreSQL extension that uses Groonga as index.',
             'PostgreSQL');

You can use match_columns option to use weight:

SELECT *
  FROM json_array_elements(
         pgroonga_command('select ' ||
                          pgroonga_table_name('pgroonga_terms_index') || ' ' ||
                          '--match_columns "title * 10 || content" ' ||
                          '--query "Groonga OR PostgreSQL OR engine" ' ||
                          '--output_columns "_score, title, content" ' ||
                          '--sortby "-_score"'
                         )::json->1->0);
--                                           value                                          
-- -----------------------------------------------------------------------------------------
--  [3]
--  [["_score","Int32"],["title","LongText"],["content","LongText"]]
--  [12,"Groonga","Groonga is a fast full text search engine that supports all languages."]
--  [11,"PostgreSQL","PostgreSQL is a relational database management system."]
--  [2,"PGroonga","PGroonga is a PostgreSQL extension that uses Groonga as index."]
-- (5 rows)

You can use drilldown feature by drilldown option:

SELECT *
  FROM json_array_elements(
         pgroonga_command('select ' ||
                          pgroonga_table_name('pgroonga_terms_index') || ' ' ||
                          '--match_columns "title * 10 || content" ' ||
                          '--query "Groonga OR PostgreSQL OR engine" ' ||
                          '--output_columns "_score, title" ' ||
                          '--sortby "-_score" ' ||
                          '--drilldown "tag"'
                         )::json->1);
--                                               value                                              
-- -------------------------------------------------------------------------------------------------
--  [[3],[["_score","Int32"],["title","LongText"]],[12,"Groonga"],[11,"PostgreSQL"],[2,"PGroonga"]]
--  [[2],[["_key","ShortText"],["_nsubrecs","Int32"]],["Groonga",1],["PostgreSQL",2]]
-- (2 rows)

select Groonga command may help you when SELECT statement in SQL is slow.

See also