explain.depesz.com

PostgreSQL's explain analyze made readable

Result: h6n4

Settings
# exclusive inclusive rows x rows loops node
1. 8.233 417.566 ↑ 8.2 21,537 1

Gather (cost=1,002.18..224,345.29 rows=176,670 width=273) (actual time=0.643..417.566 rows=21,537 loops=1)

  • Workers Planned: 2
  • Workers Launched: 2
2. 11.304 409.333 ↑ 10.3 7,179 3 / 3

Nested Loop (cost=2.18..205,678.29 rows=73,612 width=273) (actual time=0.096..409.333 rows=7,179 loops=3)

3. 59.901 383.671 ↑ 10.3 7,179 3 / 3

Nested Loop (cost=1.75..158,486.94 rows=73,612 width=8) (actual time=0.084..383.671 rows=7,179 loops=3)

4. 109.232 185.149 ↑ 1.2 69,311 3 / 3

Hash Join (cost=1.31..9,862.02 rows=86,595 width=8) (actual time=0.069..185.149 rows=69,311 loops=3)

  • Hash Cond: (ps_apfeps.apfda_id = ps_apfeps_t_apfda.id)
5. 75.898 75.898 ↑ 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=0.005..75.898 rows=277,103 loops=3)

6. 0.007 0.019 ↑ 1.0 5 3 / 3

Hash (cost=1.25..1.25 rows=5 width=8) (actual time=0.018..0.019 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 >= '2019-01-01'::date)
  • Rows Removed by Filter: 1
9. 14.358 14.358 ↑ 1.0 1 21,537 / 3

Index Scan using supplierinvoice_pkey on supplierinvoice si (cost=0.43..0.64 rows=1 width=273) (actual time=0.002..0.002 rows=1 loops=21,537)

  • Index Cond: (id = eps.invoice_id)
Planning time : 0.758 ms
Execution time : 423.329 ms