explain.depesz.com

PostgreSQL's explain analyze made readable

Result: Wk51 : 2

Settings
# exclusive inclusive rows x rows loops node
1. 0.000 412.461 ↓ 2.3 144 1
→

Group (cost=102,145.02..102,153.04 rows=63 width=108) (actual time=412.186..412.461 rows=144 loops=1)

  • Group Key: street, street_number, extra_number, letter, premise, postalcode, locality, address_type, uuid, municipality_area
2. 16.974 412.826 ↓ 2.8 144 1
→

Gather Merge (cost=102,145.02..102,151.74 rows=52 width=108) (actual time=412.184..412.826 rows=144 loops=1)

  • Workers Planned: 2
  • Workers Launched: 2
3. 0.036 395.852 ↓ 1.8 48 3 / 3
→

Group (cost=101,144.99..101,145.71 rows=26 width=108) (actual time=395.814..395.852 rows=48 loops=3)

  • Group Key: street, street_number, extra_number, letter, premise, postalcode, locality, address_type, uuid, municipality_area
4. 0.204 395.816 ↓ 1.8 48 3 / 3
→

Sort (cost=101,144.99..101,145.06 rows=26 width=108) (actual time=395.812..395.816 rows=48 loops=3)

  • Sort Key: street, street_number, extra_number, letter, premise, postalcode, locality, address_type, uuid, municipality_area
  • Sort Method: quicksort Memory: 31kB
5. 386.898 395.612 ↓ 1.8 48 3 / 3
→

Parallel Bitmap Heap Scan on valid_addresses_se a (cost=855.53..101,144.38 rows=26 width=108) (actual time=34.592..395.612 rows=48 loops=3)

  • Recheck Cond: (((locality_ix)::text = 'umeaa'::text) OR ((postalcode)::text ~~ '903%'::text))
  • Filter: (((address_type = 'NA'::bpchar) OR (address_type = 'NB'::bpchar) OR (address_type = 'NC'::bpchar)) AND (((street_ix)::text = 'sandbeckav'::text) OR (((street)::text % 'Sandbeckav'::text) AND ((levenshtein('sandbeckav'::text, lower((street)::text), 1, 1, 2) <= 3) OR (similarity('sandbeckav'::text, lower((street)::text)) >= '0.5'::double precision))) OR ((street_ix)::text = 'sandbeckavaegen'::text) OR (((street)::text % 'Sandbeckavägen'::text) AND ((levenshtein('sandbeckavägen'::text, lower((street)::text), 1, 1, 2) <= 3) OR (similarity('sandbeckavägen'::text, lower((street)::text)) >= '0.5'::double precision))) OR ((street_ix)::text = 'sandbeckavaeg'::text) OR (((street)::text % 'Sandbeckaväg'::text) AND ((levenshtein('sandbeckaväg'::text, lower((street)::text), 1, 1, 2) <= 3) OR (similarity('sandbeckaväg'::text, lower((street)::text)) >= '0.5'::double precision)))))
  • Rows Removed by Filter: 9,663
  • Heap Blocks: exact=8,460
6. 0.000 8.714 ↓ 0.0 0 1 / 3
→

BitmapOr (cost=855.53..855.53 rows=51,075 width=0) (actual time=26.143..26.143 rows=0 loops=1)

7. 7.008 7.008 ↑ 1.0 29,133 1 / 3
→

Bitmap Index Scan on valid_addresses_se_locality_ix_ix (cost=0.00..645.45 rows=30,536 width=0) (actual time=21.023..21.023 rows=29,133 loops=1)

  • Index Cond: ((locality_ix)::text = 'umeaa'::text)
8. 1.706 1.706 ↑ 2.5 8,070 1 / 3
→

Bitmap Index Scan on valid_addresses_se_postalcode_gin (cost=0.00..210.05 rows=20,540 width=0) (actual time=5.119..5.119 rows=8,070 loops=1)

  • Index Cond: ((postalcode)::text ~~ '903%'::text)