IN PROGRESS
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There is significant performance improvement for data import in Poppy with file splitting feature compared with Orchid but small degradation compared to Poppy without file splitting feature. CO response times are almost the same as Poppy without file splitting feature. CI response time is 20% slower with and without Data Import.
Average CPU utilization did not exceed 150% for all the modules. The highest consumption was observed from mod-inventory. It was growing from 110% up to 250% at the end of the test (So as memory grows too, we can suspect the issue
. It is fixed in version 20.1.9 but this test was run on version 20.1.7 of mod-inventory). Spikes of mod-data-import were observed in Data Import jobs with 50k files up to 130%. for jobs and a 250% spike for 100k. For Data Import jobs CPU utilization didn't exceed 110% for all other modules Jira Legacy server System Jira serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key MODINV-944
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Infrastructure
PTF -environment pcp1
- 10 m6i.2xlarge EC2 instances located in US East (N. Virginia)us-east-1
2 database instances, writer/reader
Name Memory GIB vCPUs max_connections db.r6g.xlarge
32 GiB 4 vCPUs 2731 - MSK tenant
- 4 m5.2xlarge brokers in 2 zones
Apache Kafka version 2.8.0
EBS storage volume per broker 300 GiB
- auto.create.topics.enable=true
- log.retention.minutes=480
- default.replication.factor=3
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