article describes the methodology and result of performance testing on the Ed-Fi ODS / API v3.4.0.
In brief, performance testing did not uncover any significant concerns in performance relative to previous 3.x versions.
Article Contents:
Volume testing of v3.4.0 occurred in May 2020, using the Locust-based 3.x performance testing framework (an Exchange contribution available in GitHub). This volume test covers the resources and HTTP verbs described in the Ed-Fi SIS vendor certification process. It runs for 30 minutes, spawning 30 clients that run simultaneously to perform tens of thousands of operations.
Northridge-inspired v3 data set, which contains 21,628 students.
The test lab environment used a three-server setup: one each for the database, web applications, and the Locust performance testing. VM "Sizes" listed here, such as "DS11_v2", are Microsoft-defined names for the specs of an Azure VM. Key specs are listed beside these size names. These sizes were chosen as their specs are comparable to those of the Vendor Certification VMs but have SSD disks to more closely match a production environment.
Image: Free SQL Server License: SQL Server 2017 Developer on Windows Server 2016
Size: DS11_v2 (Standard, 2 vcpus, 14 GB ram, 6400 max iops, 127GB local SSD)
Image: Windows Server 2016 Datacenter
Size: B2ms (Standard, 2 vcpus, 8 GB ram, 4800 max iops, 127GB local SSD)
Image: Windows Server 2016 Datacenter
Size: B2ms (Standard, 2 vcpus, 8 GB ram, 4800 max iops, 127GB local SSD)
These tests included the out-of-the-box installation of 3.2.0, 3.3.0 and 3.4.0
Version | Execution Date | Variation | # of Requests | Mean Response Time in ms | Max Response Time in ms |
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3.2.0 | 05/01/2020 | SQL Server ODS | 124,683 | 105 | 2660 |
3.3.0 | 05/01/2020 | SQL Server ODS | 147,923 | 90 | 1647 |
3.4.0 | 05/08/2020 | SQL Server ODS | 130,160 | 110 | 1496 |
3.4.0 | 05/21/2020 | PostgreSQL ODS |
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- No two executions of the same code/configuration will result in the exact same mean response time — there is a degree of randomness in the Locust-based clients. Thus the difference between 130 ms, 135 ms, and 136 ms is not significant.
- PostgreSQL backed ODS / API has comparable performance to the ODS / API backed by SQL Server ODS.
Overall the web and database server statistics do not show any serious concerns.