explain.depesz.com

PostgreSQL's explain analyze made readable

Result: wrYO

Settings
# exclusive inclusive rows x rows loops node
1. 4.743 410.285 ↑ 3.2 5,334 1

Gather (cost=1,002.18..178,403.59 rows=16,869 width=273) (actual time=0.632..410.285 rows=5,334 loops=1)

  • Workers Planned: 2
  • Workers Launched: 2
2. 2.696 405.542 ↑ 4.0 1,778 3 / 3

Nested Loop (cost=2.18..175,716.69 rows=7,029 width=273) (actual time=0.093..405.542 rows=1,778 loops=3)

3. 62.233 399.290 ↑ 4.0 1,778 3 / 3

Nested Loop (cost=1.75..158,486.94 rows=7,029 width=8) (actual time=0.080..399.290 rows=1,778 loops=3)

4. 116.745 198.436 ↑ 1.2 69,311 3 / 3

Hash Join (cost=1.31..9,862.02 rows=86,595 width=8) (actual time=0.065..198.436 rows=69,311 loops=3)

  • Hash Cond: (ps_apfeps.apfda_id = ps_apfeps_t_apfda.id)
5. 81.674 81.674 ↑ 1.3 277,103 3 / 3

Parallel Seq Scan on apfearlypaymentsettlement ps_apfeps (cost=0.00..8,758.79 rows=346,379 width=16) (actual time=0.003..81.674 rows=277,103 loops=3)

6. 0.005 0.017 ↑ 1.0 5 3 / 3

Hash (cost=1.25..1.25 rows=5 width=8) (actual time=0.017..0.017 rows=5 loops=3)

  • Buckets: 1024 Batches: 1 Memory Usage: 9kB
7. 0.012 0.012 ↑ 1.0 5 3 / 3

Seq Scan on apfdebtoragreement ps_apfeps_t_apfda (cost=0.00..1.25 rows=5 width=8) (actual time=0.008..0.012 rows=5 loops=3)

  • Filter: (bank_id = 3053)
  • Rows Removed by Filter: 15
8. 138.621 138.621 ↓ 0.0 0 207,932 / 3

Index Scan using earlypaymentsettlement_pkey on earlypaymentsettlement eps (cost=0.43..1.72 rows=1 width=16) (actual time=0.002..0.002 rows=0 loops=207,932)

  • Index Cond: (id = ps_apfeps.id)
  • Filter: (creationdate >= '2019-02-01'::date)
  • Rows Removed by Filter: 1
9. 3.556 3.556 ↑ 1.0 1 5,334 / 3

Index Scan using supplierinvoice_pkey on supplierinvoice si (cost=0.43..2.45 rows=1 width=273) (actual time=0.002..0.002 rows=1 loops=5,334)

  • Index Cond: (id = eps.invoice_id)
Planning time : 0.772 ms
Execution time : 411.726 ms