Gathering Document Statistics
The function ts_stat is useful for checking your configuration and for finding stop-word candidates.
1 2 3 | ts_stat(sqlquery text, [ weights text, ]
OUT word text, OUT ndoc integer,
OUT nentry integer) returns setof record
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sqlquery is a text value containing an SQL query which must return a single tsvector column. ts_stat executes the query and returns statistics about each distinct lexeme (word) contained in the tsvector data. The columns returned are
- word text: the value of a lexeme
- ndoc integer: number of documents (tsvectors) the word occurred in
- nentry integer: total number of occurrences of the word
If weights are supplied, only occurrences having one of those weights are counted. For example, to find the ten most frequent words in a document collection:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | SELECT * FROM ts_stat('SELECT to_tsvector(''english'', sr_reason_sk) FROM tpcds.store_returns WHERE sr_customer_sk < 10') ORDER BY nentry DESC, ndoc DESC, word LIMIT 10;;
word | ndoc | nentry
------+------+--------
32 | 2 | 2
33 | 2 | 2
1 | 1 | 1
10 | 1 | 1
13 | 1 | 1
14 | 1 | 1
15 | 1 | 1
17 | 1 | 1
20 | 1 | 1
22 | 1 | 1
(10 rows)
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The same, but counting only word occurrences with weight A or B:
1 2 3 4 | SELECT * FROM ts_stat('SELECT to_tsvector(''english'', sr_reason_sk) FROM tpcds.store_returns WHERE sr_customer_sk < 10', 'a') ORDER BY nentry DESC, ndoc DESC, word LIMIT 10;
word | ndoc | nentry
------+------+--------
(0 rows)
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