explain.depesz.com

PostgreSQL's explain analyze made readable

Result: 66cN

Settings
# exclusive inclusive rows x rows loops node
1. 0.121 8,454.781 ↓ 648.0 648 1

Hash Right Join (cost=378,386.19..378,391.55 rows=1 width=143) (actual time=8,454.686..8,454.781 rows=648 loops=1)

  • Hash Cond: ((pr.mr_no)::text = (r.mr_no)::text)
2. 0.010 1,292.973 ↓ 0.0 0 1

HashAggregate (cost=346,207.30..346,209.55 rows=225 width=18) (actual time=1,292.973..1,292.973 rows=0 loops=1)

3. 0.311 1,292.963 ↓ 0.0 0 1

Nested Loop (cost=0.43..346,206.17 rows=225 width=18) (actual time=1,292.963..1,292.963 rows=0 loops=1)

4. 1,288.668 1,288.668 ↓ 2.1 664 1

Seq Scan on bill b (cost=0.00..345,359.67 rows=320 width=14) (actual time=643.203..1,288.668 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. 0.160 7,161.687 ↓ 648.0 648 1

Hash (cost=32,178.88..32,178.88 rows=1 width=111) (actual time=7,161.687..7,161.687 rows=648 loops=1)

  • Buckets: 1024 Batches: 1 Memory Usage: 40kB
7. 0.713 7,161.527 ↓ 648.0 648 1

Merge Left Join (cost=32,178.85..32,178.88 rows=1 width=111) (actual time=7,160.737..7,161.527 rows=648 loops=1)

  • Merge Cond: ((r.mr_no)::text = (setoffs.mr_no)::text)
8. 1.841 7,050.895 ↓ 648.0 648 1

Sort (cost=15.98..15.99 rows=1 width=79) (actual time=7,050.830..7,050.895 rows=648 loops=1)

  • Sort Key: r.mr_no
  • Sort Method: quicksort Memory: 75kB
9. 2.495 7,049.054 ↓ 648.0 648 1

HashAggregate (cost=5.31..15.96 rows=1 width=15) (actual time=37.541..7,049.054 rows=648 loops=1)

10. 0.714 13.815 ↓ 1,133.0 1,133 1

Nested Loop (cost=0.85..5.30 rows=1 width=15) (actual time=0.077..13.815 rows=1,133 loops=1)

11. 0.638 0.638 ↓ 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=0.052..0.638 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 3,535.488 ↑ 1.0 1 648

Aggregate (cost=5.31..5.32 rows=1 width=5) (actual time=5.456..5.456 rows=1 loops=648)

15. 463.968 3,534.840 ↓ 2.0 2 648

Nested Loop (cost=0.85..5.31 rows=1 width=5) (actual time=2.649..5.455 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. 0.000 3,497.256 ↑ 1.0 1 648

Aggregate (cost=5.31..5.32 rows=1 width=5) (actual time=5.397..5.397 rows=1 loops=648)

19. 425.736 3,497.256 ↓ 0.0 0 648

Nested Loop (cost=0.85..5.31 rows=1 width=5) (actual time=5.397..5.397 rows=0 loops=648)

20. 134.784 134.784 ↓ 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..0.208 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. 1.448 109.919 ↓ 619.0 619 1

Sort (cost=32,162.87..32,162.88 rows=1 width=47) (actual time=109.897..109.919 rows=619 loops=1)

  • Sort Key: setoffs.mr_no
  • Sort Method: quicksort Memory: 73kB
23. 0.039 108.471 ↓ 619.0 619 1

Subquery Scan on setoffs (cost=32,162.84..32,162.86 rows=1 width=47) (actual time=108.339..108.471 rows=619 loops=1)

24. 0.469 108.432 ↓ 619.0 619 1

HashAggregate (cost=32,162.84..32,162.85 rows=1 width=18) (actual time=108.338..108.432 rows=619 loops=1)

25. 6.372 107.963 ↓ 664.0 664 1

Nested Loop (cost=0.86..32,162.84 rows=1 width=18) (actual time=4.656..107.963 rows=664 loops=1)

26. 16.772 16.772 ↑ 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=0.058..16.772 rows=12,117 loops=1)

  • Index Cond: (visit_type = 'i'::bpchar)
27. 84.819 84.819 ↓ 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=0.007..0.007 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 : 8,455.473 ms