Jira Legacy | ||||||||
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In this workflow we are checking the performance of the loading items on instance record (in holdings accordion) workflow running in the Fameflower release. The series of steps can be found in the attached screencast.
Jira Legacy | ||||||||
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Backend:
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- mod-inventory-storage-19.1.2
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- mod-inventory-14.1.3
- mod-circulation-18.0.9
- mod-circulation-storage-11.0.8
- okapi-2.38.0
- mod-authtoken-2.4.0
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- mod-permissions-5.9.0
- mod-data-
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- export-
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- 1.
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- 1.
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- 1
- mod-
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- source-record-
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- storage-
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- 3.
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- 1.
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- 4
- mod-
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- source-
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- record-
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- manager-
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- 2.
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- 1.
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- 4
Frontend:
- folio_inventory-
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- 2.0.2
- folio_circulation-2.0.0
- Item Check-in (folio_checkin-2.0.1)
- Item Check-out (folio_checkout-3.0.2)
Environment:
- 55 back-end modules deployed in 110 ECS services
- 3 okapi ECS services
- 8 m5.large EC2 instances
- 1 db.r5.xlarge AWS RDS instance
- INFO logging level
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- Slow APIs taking more than 100ms to run:
- GET source-storage/formattedRecords/{id}
- GET inventory/instances keyword all "aba"
- POST checkout-by-barcode
- GET inventory/items
- GET inventory/instances/{id}
- GET circulation/loans
- GET locations
- GET circulation/requests
- Some mod_source_record_storage's, mod-inventory-storage's, mod-circulation-storage's SQL queries took more than 500ms 500 ms to run, see the Slow Queries section and Recommended Improvements for the JIRAs created to address these SQL queries
- On average, the performance can be improved by 100%. if we remove redundant "EXPLAIN ANALYZE" query call on mod_source_record_storage module. EXPLAIN ANALYZE statements are debugging statements that added a second execution (along with the first one) therefore increasing the overall time by 100%.
- JVM profiling shows the slowest operations, totaling more CPU time than other calls:
- Get module for request
- JSON de/serialization
- logging with INFO level
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Test | Virtual Users | Duration | OKAPI log level | Profiled | Ramp up (total time in seconds) |
1. | 1 | 30 min | INFO | No | 1 |
2. | 5 | 30 min | INFO | No | 50 |
3. | 8 | 30 min | INFO | No | 80 |
4. | 20 | 30 min | INFO | No | 200 |
5. | 1 | 30 min | INFO | Yes | 1 |
6. | 5 | 30 min | INFO | Yes | 50 |
7. | 8 | 30 min | INFO | Yes | 80 |
8. | 20 | 30 min | INFO | Yes | 200 |
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Overall load items workflow time in seconds
Average 50th %tile 75th %tile 95th %tile 1 user 14.39 s 14.39 s 14.39 s 14.39 s 5 users 46.30 s 45.75 s 46.57 s 46.59 s 8 users 1.24 min 1.21 min 1.25 min 1.25 min 20 users 3.10 min 3.05 min 3.12 min 3.12 min Slow APIs taking more than 100 ms to return
API 1 user (75th %tile) 5 users (75th %tile) 8 users (75th %tile) 20 Users (75th %tile) Loading items on instance record (in holdings accordion) GET source-storage/formattedRecords/{id} 5.32 s 19.92 s 34.83 s 1.46 min GET inventory/instances keyword all "aba"
355.60 ms 753.86 ms 909.02 ms 2.87 s POST circulation/check-out-by-barcode 679.72 ms 1.04 s 1.11 s 1.45 sGET locations 221.09 ms 142.89 ms 152.26 ms 205.71 ms GET inventory/items 164.45 ms 251.71 ms 286.87 ms 405.85 ms GET inventory/instances/{id} 119.93 ms 115.98 ms 123.88 ms 131.89 ms Check Out POST circulation/check-out-by-barcode 679.72 ms 1.04 s 1.11 s 1.45 s GET circulation/loans 221.95 ms 254.08 ms 251.45 ms 256.18 ms GET locationscirculation/requests 22181.09 77 ms 142212.89 38 ms 152257.26 80 ms 205443.71 79 ms GET circulationinventory/requestsitems 81164.77 45 ms 212251.38 71 ms 257286.80 87 ms 443405.79 85 ms
JVM Profiling
- Overall slow methods (between the modules profiled: okapi, mod-inventory, mod-inventory-storage, mod-circulation, mod-circulation-storage)
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There aren't any WARNING statements of missing indexes in mod-inventory-storage, mod-source-record-storage modules.
The following WARNING statements of missing indexes were generated during a test run and logged by mod-circulation-storage:
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Slowest queries which took the most of execution time were initiated by the mod_source_record_storage, mod-inventory-storage and mod_circulation_storage services presented in the following table:
Percent of total time | Average Time,ms | Calls | Module | Query |
52% | 20,855 ms | 1,325 | mod_source_record_storage | select get_record_by_external_id($1, $2) Examples: EXPLAINANALYZEselect get_record_by_external_id('89a7ec1c-608f-4d24-90b6-57da21557874', 'instanceId') EXPLAIN ANALYZE select get_record_by_external_id('1abdfd67-a4c3-46ba-a66b-82619f633e9a', 'instanceId') EXPLAIN ANALYZE select get_record_by_external_id('ff2f06c1-caf7-427a-9544-d8716eda90a6', 'instanceId') |
0.8% | 669 ms | 658 | mod_inventory_storage | WITH headrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>$1)) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($2, f_unaccent(concat_space_sql(instance.jsonb->>$3 , concat_array_object_values(instance.jsonb->$4,$5) , concat_array_object_values(instance.jsonb->$6,$7)))) @@ (to_tsquery($8, f_unaccent($9)))) ANDleft(lower(f_unaccent(jsonb->>$10)),$11) < ( SELECTleft(lower(f_unaccent(jsonb->>$12)),$13) FROM fs09000000_mod_inventory_storage.instance ORDERBYleft(lower(f_unaccent(jsonb->>'title')),600) OFFSET $14LIMIT $15 ) ORDERBYleft(lower(f_unaccent(jsonb->>$16)),$17) LIMIT $18OFFSET $19 ), allrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>$20)) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($21, f_unaccent(concat_space_sql(instance.jsonb->>$22 , concat_array_object_values(instance.jsonb->$23,$24) , concat_array_object_values(instance.jsonb->$25,$26)))) @@ (to_tsquery($27, f_unaccent($28)))) AND (SELECTCOUNT(*) FROM headrecords) < $29 ) SELECT jsonb, title, $30AScountFROM headrecords WHERE (SELECTCOUNT(*) FROM headrecords) >= $31UNION (SELECT jsonb, title, (SELECTCOUNT(*) FROM allrecords) AScountFROM allrecords ORDERBY title LIMIT $32OFFSET $33 ) ORDERBY title E.x. WITH headrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>'title')) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector('simple', f_unaccent(concat_space_sql(instance.jsonb->>'title' , concat_array_object_values(instance.jsonb->'contributors','name') , concat_array_object_values(instance.jsonb->'identifiers','value')))) @@ (to_tsquery('simple', f_unaccent('''aba''')))) AND left(lower(f_unaccent(jsonb->>'title')),600) < ( SELECT left(lower(f_unaccent(jsonb->>'title')),600) FROM fs09000000_mod_inventory_storage.instance ORDER BY left(lower(f_unaccent(jsonb->>'title')),600) OFFSET 10000 LIMIT 1 ) ORDER BY left(lower(f_unaccent(jsonb->>'title')),600) LIMIT 100 OFFSET 0 ), allrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>'title')) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector('simple', f_unaccent(concat_space_sql(instance.jsonb->>'title' , concat_array_object_values(instance.jsonb->'contributors','name') , concat_array_object_values(instance.jsonb->'identifiers','value')))) @@ (to_tsquery('simple', f_unaccent('''aba''')))) AND (SELECT COUNT(*) FROM headrecords) < 100 ) SELECT jsonb, title, 0 AS count FROM headrecords WHERE (SELECT COUNT(*) FROM headrecords) >= 100 UNION (SELECT jsonb, title, (SELECT COUNT(*) FROM allrecords) AS count FROM allrecords ORDER BY title LIMIT 100 OFFSET 0 ) ORDER BY title |
0.8% | 214 ms | 1,918 | mod_circulation_storage | SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_circulation_storage.request WHERE (to_tsvector($1, f_unaccent(request.jsonb->>$2)) @@ replace((to_tsquery($3, f_unaccent($4)))::text, $5, $6)::tsquery) AND (to_tsvector($7, f_unaccent(request.jsonb->>$8)) @@ replace((to_tsquery($9, f_unaccent($10)))::text, $11, $12)::tsquery) LIMIT $13) x E.x. SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_circulation_storage.request WHERE (to_tsvector('simple', f_unaccent(request.jsonb->>'requesterId')) @@ replace((to_tsquery('simple', f_unaccent('''c2d0fc7d-85a9-4527-945d-6e5e29e74efc''')))::text, '&', '<->')::tsquery) AND (to_tsvector('simple', f_unaccent(request.jsonb->>'status')) @@ replace((to_tsquery('simple', f_unaccent('''Open''')))::text, '&', '<->')::tsquery) LIMIT 100) x |
0.6% | 177 ms | 1,914 | mod_inventory_storage | SELECTCOUNT(*) FROM (SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERElower(f_unaccent(item.jsonb->>$1)) LIKElower(f_unaccent($2)) LIMIT $3) x E.x. SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_inventory_storage.item WHERE lower(f_unaccent(item.jsonb->>'barcode')) LIKE lower(f_unaccent('19878861')) LIMIT 1) x |
0.6% | 165 ms | 1,914 | mod_inventory_storage | SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERElower(f_unaccent(item.jsonb->>$1)) LIKElower(f_unaccent($2)) LIMIT $3OFFSET $4 E.x. SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERE lower(f_unaccent(item.jsonb->>'barcode')) LIKE lower(f_unaccent('19878861')) LIMIT 1 OFFSET 0 |
CPU Utilization
1 user | 5 users | 8 users | 20 users | |||||
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Average % | Range % | Average % | Range % | Average % | Range % | Average % | Range % | |
Okapi | 2.12 | 0.29-8.94 | 2.87 | 1.56-13.65 | 2.78 | 0.31-16.82 | 2.85 | 0.32-11.65 |
mod-inventory | 0.84 | 0.31-14.82 | 0.68 | 0.30-4.01 | 0.67 | 0.26-7.79 | 0.65 | 0.27-3.72 |
mod-inventory-storage | 1.59 | 0.33-8.17 | 1.87 | 0.56-9.25 | 1.81 | 0.24-9.15 | 1.78 | 0.25-23.28 |
mod-circulation | 0.67 | 0.24-4.12 | 0.82 | 0.48-4.44 | 0.96 | 0.26-4.04 | 0.82 | 0.28-4.12 |
mod-circulation-storage | 0.71 | 0.25-6.60 | 0.74 | 0.31-2.79 | 0.86 | 0.29-3.27 | 0.71 | 0.27-2.50 |
mod-source-record-storage | 0.34 | 0.23-1.43 | 0.50 | 0.26-1.86 | 0.53 | 0.31-2.41 | 0.43 | 0.29-1.92 |
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- The following JIRAs have been created for mod_source_record_storage:
Jira Legacy server System JiraJIRA serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key MODSOURCE-149
Jira Legacy server System JiraJIRA serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key MODSOURCE-150
- On average, the performance can be improved by 100%. if we remove redundant "EXPLAIN ANALYZE" query call on mod_source_record_storage module. EXPLAIN ANALYZE statements are debugging statements that added a second execution (along with the first one) therefore increasing the overall time by 100%.
- Missing Indexes Warnings are covered by the story
Jira Legacy server System JiraJIRA serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key CIRCSTORE-215 - In mod-inventory-storage and okapi consider using a more efficient JSON package or calling use the existing jackson serialization calls in a different way to address the item: JVM profiling shows JSON de/serialization operations one of the slowest operations.
Appendix
See Attached FameFlower Performance Test Runsload-item-records-FF.xlsx for details