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78 lines
2.1 KiB
SQL
78 lines
2.1 KiB
SQL
-- number of subtitle lines per person
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select name, count(name) as count, sum(length(text)) as chars
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from line
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join person p on line.person_id = p.id
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group by name
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order by chars desc;
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-- most common noun chunks
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select text, sum(count) as count
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from phrase
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group by text
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order by count desc;
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-- longest noun chunks
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select text, char_length(phrase.text) as len
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from phrase
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order by len desc;
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-- delete
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-- from phrase;
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EXPLAIN analyse
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SELECT text, sum(count) as total_count
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FROM phrase
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where text ilike '%head%'
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group by text
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ORDER BY total_count DESC;
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-- query made by suggestion
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-- debug with https://dalibo.github.io/pev2/
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EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS, FORMAT JSON)
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SELECT "t1"."text", SUM("t1"."count") AS "total_count"
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FROM "phrase" AS "t1"
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INNER JOIN "episode" AS "t2" ON ("t1"."episode_id" = "t2"."id")
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WHERE ((("t2"."series_id" = 1) AND ("t2"."episode_number" <= 30)) AND ("t1"."text" ILIKE '%head%'))
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GROUP BY "t1"."text"
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ORDER BY total_count DESC
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LIMIT 10;
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CREATE EXTENSION pg_trgm;
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CREATE INDEX phrases_text_index ON phrase USING gin (text gin_trgm_ops);
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drop index phrases_text_index;
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-- query made by full text search
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EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS, FORMAT JSON)
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SELECT "t1"."id",
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"t1"."text",
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"t1"."search_text",
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"t1"."person_id",
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"t1"."isnote",
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"t1"."ismeta",
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"t1"."starttime",
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"t1"."endtime",
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"t1"."episode_id",
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"t1"."order",
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"t2"."id",
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"t2"."name",
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"t2"."color",
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"t2"."season",
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"t3"."id",
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"t3"."season",
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"t3"."episode_number",
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"t3"."video_number",
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"t3"."youtube_id",
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"t3"."text_imported",
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"t3"."phrases_imported",
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ts_rank("t1"."search_text", websearch_to_tsquery('english', 'house')) AS "rank"
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FROM "line" AS "t1"
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INNER JOIN "person" AS "t2" ON ("t1"."person_id" = "t2"."id")
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INNER JOIN "episode" AS "t3" ON ("t1"."episode_id" = "t3"."id")
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WHERE ((("t1"."search_text" @@ websearch_to_tsquery('english', 'house')) AND ("t3"."episode_number" <= 1000)) AND
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("t3"."season" = 1))
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ORDER BY rank DESC
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LIMIT 20;
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