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| Jira Legacy | ||||||||
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| Table of Contents |
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In this workflow, we are checking the performance of the renewal of loan items for the Goldenrod release.
We tested it with 1, 2 virtual users for 30 minutes.
Backend:
- mod-users-17.1.0
- mod-users-bl-6.0.0
- mod-authtoken-2.5.1
- mod-permissions-5.11.2
- mod-circulation-19.0.9
- mod-circulation-storage-12.0.1
- okapi-3.1.1
Environment:
- 55 back-end modules deployed in 110 ECS services
- 3 okapi ECS services
- 8 m5.large EC2 instances
- 2 (1 reader, 1 writer) db.r5.xlarge AWS RDS instance
- INFO logging level
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Test | Virtual Users | Duration | OKAPI log level | Loans per User |
1. | 1 | 30 min | WARNING | 10, 50, 100, 200 |
2. | 2 | 30 min | WARNING | 10, 50, 100, 200 |
| 3. | 1 | 30 min | INFO | 200 |
Results
Renew all loans by barcode
Total Users for 30 minutes Loans Renew all loans (Average) POST_/circulation/renew-by-barcode (Average) 1 user 10 6.52 seconds
585.11 ms
50 31.81 seconds
637.48 ms
100 1.06 minutes 650.15 ms
200 2.09 minutes 673.40 ms
2 users 10 7.42 seconds
683.76 ms
50 32.61 seconds
686.65 ms
100 1.10 minutes
705.37 ms
200 2.27 minutes
747.04 ms
- Below is the dependency graph generated from Giraffe for single POST_/circulation/renew-by-barcode API. It shows individual calls made by renew-by-barcode to gather prerequisite data from different APIs such as item-storage, location-units, loan-types, request-storage, notice-policy, locations, and mod-authtoken. In all, this call took 990 ms, and 6% of that is consumed by mod-authtoken and the remaining 94% of the time is taken by other APIs to gather prerequisite data.
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| Query | Total time | Average Time | Total calls made |
|---|---|---|---|
| SELECT count_estimate('SELECT jsonb,id FROM fs09000000_mod_inventory_storage.item WHERE lower(f_unaccent(item.jsonb->>''barcode'')) LIKE lower(f_unaccent(''54357881''))') | 2 minutes or 71% | 14 ms | 9027 |
| SELECT count_estimate('SELECT jsonb FROM fs09000000_mod_patron_blocks.user_summary WHERE (jsonb->>''userId'') = ''4deba809-4fb4-432a-b3df-c54b6ad51d22''') | 2 ms or 10% | 2 ms | 8457 |
Service CPU Utilization
Service CPU utilization is relatively on a lower side for most modules except for mod-circulation. For service with the highest CPU utilization is shown by range to get a better picture.
| For 30 minutes | Modules | Service CPU Utilization |
| 1 user | mod-inventory | 3% |
| mod-inventory-storage | 10% | |
| mod-circulation | 95%70%-95% | |
| mod-circulation-storage | 6% | |
| 2 users | mod-inventory | 3.25% |
| mod-inventory-storage | 17.75% | |
| mod-circulation | 70%-122.75% | |
| mod-circulation-storage | 11.75% |
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Service memory was stable for most modules except mod-circulation which was on the higher side. For service with the highest Memory utilization is shown by range to get a better picture.
| For 30 minutes | Modules | Service Memory CPU Utilization |
| 1 user | mod-inventory | 63% |
| mod-inventory-storage | 56% | |
| mod-circulation | 113%-118% | |
| mod-circulation-storage | 42% | |
| 2 users | mod-inventory | 65% |
| mod-inventory-storage | 56% | |
| mod-circulation | 113%-118% | |
| mod-circulation-storage | 49% |
Graph for service memory utilization for mod-circulation. There seems to be a potential memory leak problem. Memory Memory usage started at ~112%~113%, rose to ~118% and fall back to ~101%
Recommended Improvements
| Anchor | ||||
|---|---|---|---|---|
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- The following JIRAs has been created for mod-authtoken optimization:
FOLIO Issue TrackerJira Legacy server
6ccf3fe4System JIRA columns key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution serverId
330101505d01-
368ab853-
983e3c2e-
20c466b11a4990f1- ee9b165564fc key MODAT-80
FOLIO Issue TrackerJira Legacy server
6ccf3fe4System JIRA columns key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution serverId
330101505d01-
368ab853-
983e3c2e-
20c466b11a4990f1- ee9b165564fc key MODAT-83
Appendix
See Attached user_loanRenewals-test-report.xlsx for details