explain.depesz.com

A tool for finding a real cause for slow queries.

Result: qDL

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# exclusive inclusive rows x rows loops node
1. 674.309 28381.706 ↑ 1.0 100000 1

Limit (cost=85847.22..92513.15 rows=100000 width=28) (actual time=25465.332..28381.706 rows=100000 loops=1)

2. 935.439 27707.397 ↑ 642.9 100000 1

Hash Join (cost=85847.22..4371045.75 rows=64285080 width=28) (actual time=25465.324..27707.397 rows=100000 loops=1)

  • Hash Cond: (i.fk_weather_station_id = ws.id)
3. 772.303 26761.468 ↑ 642.9 100000 1

Hash Join (cost=85811.37..2683526.55 rows=64285080 width=24) (actual time=25454.798..26761.468 rows=100000 loops=1)

  • Hash Cond: (v.id = i.id)
4. 536.522 536.522 ↑ 642.9 100000 1

Seq Scan on native_weather_data_value v (cost=0.00..1312013.58 rows=64285080 width=12) (actual time=0.014..536.522 rows=100000 loops=1)

  • Filter: (((value)::text <> '-'::text) AND ((value)::text ~ '^[-0-9.]+$'::text))
5. 12928.874 25452.643 ↑ 1.0 2972372 1

Hash (cost=48656.72..48656.72 rows=2972372 width=16) (actual time=25452.643..25452.643 rows=2972372 loops=1)

  • Buckets: 524288 Batches: 1 Memory Usage: 139330kB
6. 12523.769 12523.769 ↑ 1.0 2972372 1

Seq Scan on native_weather_data_index i (cost=0.00..48656.72 rows=2972372 width=16) (actual time=0.012..12523.769 rows=2972372 loops=1)

7. 5.186 10.490 ↑ 1.0 1149 1

Hash (cost=21.49..21.49 rows=1149 width=4) (actual time=10.490..10.490 rows=1149 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 41kB
8. 5.304 5.304 ↑ 1.0 1149 1

Seq Scan on weather_station ws (cost=0.00..21.49 rows=1149 width=4) (actual time=0.010..5.304 rows=1149 loops=1)