Re: Extreme bloating of intarray GiST indexes
От | Josh Berkus |
---|---|
Тема | Re: Extreme bloating of intarray GiST indexes |
Дата | |
Msg-id | 4DC09240.8090901@agliodbs.com обсуждение исходный текст |
Ответ на | Re: Extreme bloating of intarray GiST indexes (Josh Berkus <josh@agliodbs.com>) |
Список | pgsql-hackers |
All, Some trending data, since there's a lot of bloated indexes here: select 'index_' || ( row_number() over ( order by free_percent desc ) ) as "index", * from ( select (public.pgstattuple(indexname::text)).free_percent, round(( n_tup_upd )::numeric / n_tup_ins, 2) as update_ratio, round(( n_tup_hot_upd )::numeric / n_tup_ins, 2) as hot_update_ratio, round(( n_tup_del * 100 )::numeric / n_tup_ins) as delete_percent, extract('days' from ( now() - last_autovacuum )) as days_since_vac, n_live_tup / 1000 as "1K_tuples" from pg_indexes join pg_stat_user_tables as tables ON pg_indexes.schemaname = tables.schemaname AND pg_indexes.tablename = tables.relname where indexname like '%__listings_features' ) as idxstats order by free_percent desc; index|free_percent|update_ratio|hot_update_ratio|delete_percent|days_since_vac|1K_tuples index_1|90.97|34.30|13.68|50|3|9 index_2|87.14|15.54|2.99|41|1|2 index_3|85.08|10.86|1.42|35|5|77 index_4|84.28|22.27|5.47|18|4|370 index_5|82.4|13.65|3.89|24|49|82 index_6|82.2|11.32|2.22|29|3|54 index_7|80.97|14.38|2.95|6|14|17 index_8|80.59|15.64|2.73|48|1|29 index_9|78.43|12.81|2.97|21|37|42 index_10|77.91|11.24|2.33|57|1|21 index_11|77.26|12.73|2.00|18|11|55 index_12|77.07|16.62|2.71|15|7|7 index_13|76.56|12.20|3.20|11|11|18 index_14|75.94|14.52|2.00|23|13|15 index_15|74.73|14.94|2.68|17|11|34 index_16|73.78|15.94|3.77|25|5|2 index_17|73.54|50.19|4.26|14|14|10 index_18|73.11|15.07|6.70|20|20|7 index_19|72.82|10.26|4.63|19|11|7 index_20|72.55|15.59|5.14|22|3|13 index_21|68.52|19.69|5.49|13|11|3 index_22|61.47|14.00|4.61|27|47|2 index_23|45.06|18.10|11.65|19|96|2 index_24|37.75|6.04|1.32|36|96|15 index_25|36.87|15.32|3.71|10|96|17 index_26|32.32|7.07|2.15|18|96|15 index_27|0|6.28|0.74|10|316|48 This makes a pretty graph, but the only thing it tells me is that the handful of non-bloated tables are the ones which weren't vacuumed recently, and either have very few rows or haven't gotten a lot of updates. This is not a surprise. -- Josh Berkus PostgreSQL Experts Inc. http://pgexperts.com
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