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Overview
- In this workflow, we load test mod-search without and with ES background reindexing across 2 tenants for the Lotus release -
Jira Legacy server System JiraJIRA columnIds issuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution columns key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key PERF-225
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- 7.2 million inventory records (7.3 Million instances, 7.8 Million holdings record, 8.9 Million items)
- 80 FOLIO back-end modules deployed in 166 ECS services
- 3 okapi ECS services
- 7 m5.xlarge EC2 instances
- 1 writer db.r6g.xlarge 1 reader db.r6g.xlarge AWS RDS instance
High-Level Summary
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| Query | 1 user - Baseline (avg) | 1 user - Under the reindexing load (avg) | 20 user - Baseline (avg) | 20 user - Under the reindexing load (avg) |
| Regular | 336 ms | 448 ms | 728 ms | 0.850 ms |
| Wildcard | 1.42 seconds | 1.63 seconds | 2.32 seconds | 2.71 seconds (2 failed requests for /search/instances: title all *1randomword) |
*Note that "Regular" queries are queries that don't have the wild card character ( * ).
Show total requests processed increases as we increase the number of users concurrently.
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mod-search is around 40% which is relatively stable. CPU spiked to 40% from 30% after starting background ES reindexing.
Memory also looks stable at around 61%
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JIRA tickets created as part of this investigation
Jira Legacy server System JiraJIRA serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key MSEARCH-331 Jira Legacy server System JiraJIRA serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key MSEARCH-337
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- Different permutations of random words and sentences were generated from https://www.mit.edu/~ecprice/wordlist.10000
- Artifact stored http://carrier-io.int.folio.ebsco.com/artifacts?q=mod-search - mod-search.zip
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