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PTF - DI testing for Cornell (Iris hotfixes)

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Overview

  1. In this workflow, we are checking the performance of Data Import for Cornell. This testing is done to mimic Cornell load as described in the Rally ticket https://rally1.rallydev.com/#/79944863724d/search?detail=%2Fuserstory%2F50807e3e-96eb-4ece-b24b-24665b1a4dc5&fdp=true&keywords=cornell


These tests were run in PTF env in icp1 hotfix-1 cluster - https://iris-cap1.int.aws.folio.org/

Following changes were made to env based on Cornell's load requirement:

1. Give more memory/CPU to Okapi, mod-srm, mod-srs, mod-inventory and mod-inventory-storage - 4x of what's already in the Task Definition

2. Make DB 4x large

3. Vertically scale up EC2 instances to m5.2xlarge

ModuleMemory(Hard limit) MBCPUTask Def
Okapi3456512#2
mod-SRM5760512#4
mod-SRS5760512#4
mod-inventory74881024#5
mod-inventory-storage3456512#2


Hotfix-1

  • Backend:
    • mod-data-import-2.0.2
    • mod-source-record-storage-5.0.4
    • mod-source-record-manager-3.0.7
    • okapi-4.7.3
  • Frontend:
    • folio_data-import-4.0.3

Hotfix-2

  • Backend:
    • mod-data-import-2.0.3
    • mod-source-record-storage-5.0.5
    • mod-source-record-manager-3.0.8
    • okapi-4.7.3
    • mod-inventory-16.3.3
    • mod-inventory-storage-20.2.1
  • Frontend:
    • folio_data-import-4.0.4


Environment:

  • 7.2 million UChi SRS records
  • 7.2 million inventory records
  • 69 FOLIO back-end modules deployed in 149 ECS services
  • 3 okapi ECS services
  • 12 m5.2xlarge  EC2 instances
  • 1  writer db.r5.4xlarge 1 reader db.r5.4xlarge AWS RDS instance
  • INFO logging level

Test Runs

Hotfix-1

Data Import

Test

Profile

Load

Duration

StatusI | H | I | SRS Marc

Job Id

Results/Notes

1.

Create import 25K (lone job)

25K

10:21 AM - 11:26 AM EST - 1 hour 6 minutes

Completed with Error24960 | 24959 | 24959 | 24950991

Job failed to create all records;

mod-inventory's CPU spiked

kafka.consumer.max.poll.records=10

2.Create import 25K (lone job)25K2+ hoursStuck at 99%25000 | 25000 | 24998 | 250001024

Failed to create 2 items;

mod-inventory's CPU spiked kafka.consumer.max.poll.records=10

3.Create import 5K (lone job)5K16:37 - 16:47 EDTCompleted Successfully5000 | 5000 | 5000 | 50001025
4.Create import 25K (lone job)25K

16:50 - 17:32 EDT

42 minutes

Completed Successfully25000 | 25000 | 25000| 250001026mod-inventory's CPU did not spike during the import, only right after.
5.Create import 30K (lone job)30K

18:05 - 19:11 EDT

1 hr 6 minutes

Stuck at 99% 30000 | 30000 | 29999 | 300001027mod-inventory's CPU did not spike during the import. A dip observed about midway. events_cache messages rate spiked at the dip.

Checkin-Checkout

Ran Checkin-Checkout for 20 Users for 1 hour

Relatively stable except few requests failed.

Grafana dashboard - http://carrier-io.int.folio.ebsco.com/grafana/d/q69rYQlik/jmeter-performance?orgId=1&var-percentile=95&var-test_type=baseline&var-test=circulation_checkInCheckOut&var-env=int&var-grouping=1s&var-low_limit=250&var-high_limit=700&var-db_name=jmeter&var-sampler_type=All&from=1624636077093&to=1624640056950

 

Hotfix-2

Data Import

Test

Profile

Load

Duration

StatusI | H | I | SRS Marc

Job Id

Results/Notes

1.

Create import 25K (lone job)

25K

06/28 4:29 PM - 5:45 PM EDT - 1 hour 16 minutes

Completed with Error24950 | 24950 | 24950 | 249501090

Job failed to create all records;

kafka.consumer.max.poll.records=10

2.Create import 25K (lone job)25K06/29 2:05PM - 3:15 PM EDT - 1 hour 10 minutesCompleted25000 | 25000 | 25000| 250001093Created all records as expected. There was one sudden spike in the mod-inventory CPU.
3. Create import 25K (lone job)25K06/29 3:31PM - 4:30 PM EDT - 1 hour 1 minuteCompleted25000 | 25000 | 25000| 250001094

kafka.consumer.max.poll.records=10

Created all records as expected. No spikes seen.

4.Create import 25K (lone job)25K

06/29 17:35 - 18:23 EDT

48 minutes

Completed25000 | 25000 | 25000| 250001095

kafka.consumer.max.poll.records=10

Created all records as expected. No spikes seen.

5.Create import 50K (lone job)50K

06/29 22:51 UTC - 06/30 00:52 UTC - 2 hours

Completed with Error50000 | 50000 | 49999 | 500001096

kafka.consumer.max.poll.records=10

Job stuck at 99%. Huge mod-inventory CPU spike midway (13 minutes) after 8 minutes of very low activities. events_cache spiked multiple times.

6.Create import 25K (with 20 users checkin/out)25K

06/30 03:56 UTC - 

06/30 04:49 UTC

53 minutes

Completed25000 | 25000 | 25000| 250001097

kafka.consumer.max.poll.records=10

7.Create import 25K (with 40 users checkin/out)25K06/30 4:41 PM UTC - 5:16 PM UTC - 35 minutesCompleted25000 | 25000 | 25000| 250001098

kafka.consumer.max.poll.records=10

No spikes. Okapi CPU utilization is high around 220% because checkin-checkout also running in the background.

Checkin-Checkout as background for DI above

DI Test# from aboveUsers
Req/sMin50th pct75th pct95th pct99th pctMaxAverageLatencyGrafana dashboard linkResults/Notes
7.40Total Check-in28.5090.4132.7063.9717.91110.88319.2223.3546.5786/30/2021 12:20PM-1:40PM EDTHigh CPU utilization for Okapi 245% which is normal for 40 Users
Total Check-out86.3831.6696.1118.41717.41527.23553.7617.55114.468

Checkin-Checkout Standalone

TestUsers
Req/sMin50th pct75th pct95th pct99th pctMaxAverageLatencyGrafana dashboard linkResults/Notes
1.20Total Check-in24.7550.3260.8071.0391.5512.28413.6080.8911.4796/28/2021 2:42PM-3:50PM EDTHigh CPU utilization for Okapi 140% which is normal for 20 Users
Total Check-out75.7331.2351.9262.2283.1724.75112.9052.0813.014
2.40Total Check-in36.5290.3491.7242.3564.6756.74613.1362.0614.026/30/2021 10:14AM-11:22AM EDTHigh CPU utilization for Okapi 250% which is normal for 40 Users
Total Check-out109.91.444.0375.34610.50815.76532.9524.8448.978

Observations

Accidently, ran parallel import in another cluster cap2 for Test 1 above. Parallel import does not create all expected numbers of records.


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