explain.depesz.com

PostgreSQL's explain analyze made readable

Result: yIJ1e

Settings
# exclusive inclusive rows x rows loops node
1. 0.121 8,067.031 ↓ 648.0 648 1

Hash Right Join (cost=378,386.19..378,391.55 rows=1 width=143) (actual time=8,066.924..8,067.031 rows=648 loops=1)

  • Hash Cond: ((pr.mr_no)::text = (r.mr_no)::text)
2. 0.023 967.201 ↓ 0.0 0 1

HashAggregate (cost=346,207.30..346,209.55 rows=225 width=18) (actual time=967.201..967.201 rows=0 loops=1)

3. 0.063 967.178 ↓ 0.0 0 1

Nested Loop (cost=0.43..346,206.17 rows=225 width=18) (actual time=967.178..967.178 rows=0 loops=1)

4. 963.131 963.131 ↓ 2.1 664 1

Seq Scan on bill b (cost=0.00..345,359.67 rows=320 width=14) (actual time=507.617..963.131 rows=664 loops=1)

  • Filter: (ip_deposit_set_off > 0::numeric)
  • Rows Removed by Filter: 3238183
5. 3.984 3.984 ↓ 0.0 0 664

Index Scan using patient_registration_pkey on patient_registration pr (cost=0.43..2.64 rows=1 width=27) (actual time=0.006..0.006 rows=0 loops=664)

  • Index Cond: ((patient_id)::text = (b.visit_id)::text)
  • Filter: (visit_type <> 'i'::bpchar)
  • Rows Removed by Filter: 1
6. 0.145 7,099.709 ↓ 648.0 648 1

Hash (cost=32,178.88..32,178.88 rows=1 width=111) (actual time=7,099.709..7,099.709 rows=648 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 40kB
7. 0.719 7,099.564 ↓ 648.0 648 1

Merge Left Join (cost=32,178.85..32,178.88 rows=1 width=111) (actual time=7,098.778..7,099.564 rows=648 loops=1)

  • Merge Cond: ((r.mr_no)::text = (setoffs.mr_no)::text)
8. 1.771 7,018.312 ↓ 648.0 648 1

Sort (cost=15.98..15.99 rows=1 width=79) (actual time=7,018.258..7,018.312 rows=648 loops=1)

  • Sort Key: r.mr_no
  • Sort Method: quicksort Memory: 75kB
9. 1.721 7,016.541 ↓ 648.0 648 1

HashAggregate (cost=5.31..15.96 rows=1 width=15) (actual time=37.558..7,016.541 rows=648 loops=1)

10. 0.755 13.828 ↓ 1,133.0 1,133 1

Nested Loop (cost=0.85..5.30 rows=1 width=15) (actual time=0.079..13.828 rows=1,133 loops=1)

11. 0.610 0.610 ↓ 1,133.0 1,133 1

Index Scan using idx_receipt_usage_entitytype_entityid on receipt_usage (cost=0.43..2.65 rows=1 width=12) (actual time=0.055..0.610 rows=1,133 loops=1)

  • Index Cond: (((entity_type)::text = 'visit_type'::text) AND ((entity_id)::text = 'i'::text))
12. 12.463 12.463 ↑ 1.0 1 1,133

Index Scan using receipts_pkey on receipts r (cost=0.43..2.65 rows=1 width=27) (actual time=0.011..0.011 rows=1 loops=1,133)

  • Index Cond: ((receipt_id)::text = (receipt_usage.receipt_id)::text)
  • Filter: is_deposit
13.          

SubPlan (for HashAggregate)

14. 0.648 3,517.344 ↑ 1.0 1 648

Aggregate (cost=5.31..5.32 rows=1 width=5) (actual time=5.428..5.428 rows=1 loops=648)

15. 445.824 3,516.696 ↓ 2.0 2 648

Nested Loop (cost=0.85..5.31 rows=1 width=5) (actual time=2.627..5.427 rows=2 loops=648)

16. 134.136 134.136 ↓ 1,133.0 1,133 648

Index Scan using idx_receipt_usage_entitytype_entityid on receipt_usage receipt_usage_1 (cost=0.43..2.65 rows=1 width=12) (actual time=0.014..0.207 rows=1,133 loops=648)

  • Index Cond: (((entity_type)::text = 'visit_type'::text) AND ((entity_id)::text = 'i'::text))
17. 2,936.736 2,936.736 ↓ 0.0 0 734,184

Index Scan using receipts_pkey on receipts r_1 (cost=0.43..2.65 rows=1 width=17) (actual time=0.004..0.004 rows=0 loops=734,184)

  • Index Cond: ((receipt_id)::text = (receipt_usage_1.receipt_id)::text)
  • Filter: (is_deposit AND ((realized)::bpchar = 'Y'::bpchar) AND ((mr_no)::text = (r.mr_no)::text))
  • Rows Removed by Filter: 1
18. 0.648 3,483.648 ↑ 1.0 1 648

Aggregate (cost=5.31..5.32 rows=1 width=5) (actual time=5.376..5.376 rows=1 loops=648)

19. 412.128 3,483.000 ↓ 0.0 0 648

Nested Loop (cost=0.85..5.31 rows=1 width=5) (actual time=5.375..5.375 rows=0 loops=648)

20. 134.136 134.136 ↓ 1,133.0 1,133 648

Index Scan using idx_receipt_usage_entitytype_entityid on receipt_usage receipt_usage_2 (cost=0.43..2.65 rows=1 width=12) (actual time=0.014..0.207 rows=1,133 loops=648)

  • Index Cond: (((entity_type)::text = 'visit_type'::text) AND ((entity_id)::text = 'i'::text))
21. 2,936.736 2,936.736 ↓ 0.0 0 734,184

Index Scan using receipts_pkey on receipts r_2 (cost=0.43..2.65 rows=1 width=17) (actual time=0.004..0.004 rows=0 loops=734,184)

  • Index Cond: ((receipt_id)::text = (receipt_usage_2.receipt_id)::text)
  • Filter: (is_deposit AND ((realized)::bpchar <> 'Y'::bpchar) AND ((mr_no)::text = (r.mr_no)::text))
  • Rows Removed by Filter: 1
22. 1.464 80.533 ↓ 619.0 619 1

Sort (cost=32,162.87..32,162.88 rows=1 width=47) (actual time=80.500..80.533 rows=619 loops=1)

  • Sort Key: setoffs.mr_no
  • Sort Method: quicksort Memory: 73kB
23. 0.069 79.069 ↓ 619.0 619 1

Subquery Scan on setoffs (cost=32,162.84..32,162.86 rows=1 width=47) (actual time=78.902..79.069 rows=619 loops=1)

24. 0.466 79.000 ↓ 619.0 619 1

HashAggregate (cost=32,162.84..32,162.85 rows=1 width=18) (actual time=78.900..79.000 rows=619 loops=1)

25. 0.000 78.534 ↓ 664.0 664 1

Nested Loop (cost=0.86..32,162.84 rows=1 width=18) (actual time=3.455..78.534 rows=664 loops=1)

26. 7.701 7.701 ↑ 1.0 12,117 1

Index Scan using idx_patient_registration_visit_type on patient_registration pr_1 (cost=0.43..1,292.97 rows=12,433 width=27) (actual time=0.040..7.701 rows=12,117 loops=1)

  • Index Cond: (visit_type = 'i'::bpchar)
27. 72.702 72.702 ↓ 0.0 0 12,117

Index Scan using bill_visit_id_idx on bill b_1 (cost=0.43..2.47 rows=1 width=14) (actual time=0.006..0.006 rows=0 loops=12,117)

  • Index Cond: ((visit_id)::text = (pr_1.patient_id)::text)
  • Filter: (ip_deposit_set_off > 0::numeric)
  • Rows Removed by Filter: 1
Total runtime : 8,067.551 ms