PTF - Renew loan items Workflow Test Report (Goldenrod)

PERF-39 - Getting issue details... STATUS

Overview

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

High Level Summary

  1. On average POST_/circulation/renew-by-barcode API call takes average 671.12 seconds as we gradually increase the number of loans and users to 200 and 2 respectively.
  2. POST_/circulation/renew-by-barcode API makes 26 different API requests to gather userBarcode and itemBarcode information. 34% of those are calls are to mod-authtoken. See Recommended Improvements for the JIRAs that were covered by this testing effort.
  3. No missing indexes or no suspicious slow queries found except a number of SELECT count_estimate() calls.

Test Runs

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

3.130 minINFO200


Results

  1. Renew all loans by barcode

    Total Users for 30 minutesLoansRenew all loans (Average)POST_/circulation/renew-by-barcode (Average)
    1 user10

    6.52 seconds

    585.11 ms

    50

    31.81 seconds

    637.48 ms

    1001.06 minutes

    650.15 ms

    2002.09 minutes

    673.40 ms

    2 users10

    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

  2. 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.



Database CPU Utilization

The database CPU usage increases gradually for 1, 2  users run. At maximum 9% CPU usage for 1 user.


For 2 users, max CPU utilization increases and then stabilizes as the number of loans increases. Therefore, CPU utilization is relatively on the lower side.

For 30 minutesLoansRDS CPU Utilization
1 user10

7%

50

8%

1008%
2009%
2 users10

14%

50

15%

100

15%

200

15%

Database queries 

 For 1 run of 30 minutes test, following queries were made. To point out, total calls made and the total time spend on these queries is significant.

QueryTotal timeAverage TimeTotal 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''))')71%14 ms9027
SELECT count_estimate('SELECT jsonb FROM fs09000000_mod_patron_blocks.user_summary WHERE (jsonb->>''userId'') = ''4deba809-4fb4-432a-b3df-c54b6ad51d22''')10%2 ms8457


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 minutesModulesService CPU Utilization
1 usermod-inventory

3%

mod-inventory-storage

10%

mod-circulation70%-95% 
mod-circulation-storage6%
2 usersmod-inventory

3.25%

mod-inventory-storage

17.75%

mod-circulation

70%-122.75%

mod-circulation-storage

11.75%

Service Memory Utilization

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 minutesModulesService Memory Utilization
1 usermod-inventory

63%

mod-inventory-storage

56%

mod-circulation113%-118%
mod-circulation-storage42%
2 usersmod-inventory

65%

mod-inventory-storage

56%

mod-circulation

113%-118%

mod-circulation-storage

49%

Graph for service memory utilization for mod-circulation. Memory usage started at ~113%, rose to ~118% and fall back to ~101%


Recommended Improvements 

  • The following JIRAs has been created for mod-authtoken optimization:

MODAT-80 - Getting issue details... STATUS

MODAT-83 - Getting issue details... STATUS

Appendix

See Attached user_loanRenewals-test-report.xlsx for details