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34 lines
1.2 KiB
SQL
34 lines
1.2 KiB
SQL
-- see what trackers are the most used
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select sum(seeders),tracker from trackerdata group by tracker;
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-- generate top 100 by seeders:
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SELECT torrent.name, fresh.* from fresh INNER JOIN torrent ON torrent.infohash = fresh.infohash ORDER BY s desc limit 100;
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SELECT added::date, count(infohash)
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from torrent where added > '2019-01-15'::date
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group by added::date order by count desc;
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CREATE MATERIALIZED VIEW fresh AS
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SELECT infohash,
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max(seeders) AS s,
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max(leechers) AS l,
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max(completed) AS c
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FROM trackerdata
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GROUP BY infohash;
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--- size of table
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SELECT pg_size_pretty(pg_total_relation_size('"<schema>"."<table>"'));
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--- count rows
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SELECT reltuples::bigint AS estimate FROM pg_class where relname='mytable';
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--- create fulltext table
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DROP TABLE search;
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CREATE MATERIALIZED VIEW search AS select torrent.*, fresh.s as s, fresh.l as l, to_tsvector(replace(torrent.name, '.', ' ')) as vect from torrent inner join fresh on fresh.infohash = torrent.infohash;
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create index vect_inx on search using gin(vect);
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create unique index uniq_ih on search (infohash);
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REFRESH MATERIALIZED VIEW fresh;
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REFRESH MATERIALIZED VIEW CONCURRENTLY search;
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CREATE INDEX "fetch_work_for_seedleech" on trackerdata (tracker, seeders, scraped);
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