explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 6TeJ6

Settings
# exclusive inclusive rows x rows loops node
1. 5.063 397.239 ↑ 3.2 5,334 1

Gather (cost=1,002.18..178,395.83 rows=16,843 width=273) (actual time=0.625..397.239 rows=5,334 loops=1)

  • Workers Planned: 2
  • Workers Launched: 2
2. 2.705 392.176 ↑ 3.9 1,778 3 / 3

Nested Loop (cost=2.18..175,711.53 rows=7,018 width=273) (actual time=0.096..392.176 rows=1,778 loops=3)

3. 61.453 385.915 ↑ 3.9 1,778 3 / 3

Nested Loop (cost=1.75..158,486.94 rows=7,018 width=8) (actual time=0.084..385.915 rows=1,778 loops=3)

4. 109.678 185.841 ↑ 1.2 69,311 3 / 3

Hash Join (cost=1.31..9,862.02 rows=86,595 width=8) (actual time=0.070..185.841 rows=69,311 loops=3)

  • Hash Cond: (ps_apfeps.apfda_id = ps_apfeps_t_apfda.id)
5. 76.145 76.145 ↑ 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=0.004..76.145 rows=277,103 loops=3)

6. 0.006 0.018 ↑ 1.0 5 3 / 3

Hash (cost=1.25..1.25 rows=5 width=8) (actual time=0.018..0.018 rows=5 loops=3)

  • Buckets: 1,024 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 = 3,053)
  • 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 : 0.806 ms
Execution time : 398.740 ms