[MGNLPER-182] Create environment with big-data Created: 14/Dec/22 Updated: 18/Aug/23 Resolved: 19/Apr/23 |
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| Status: | Closed |
| Project: | Periscope |
| Component/s: | None |
| Affects Version/s: | None |
| Fix Version/s: | None |
| Type: | Spike | Priority: | Medium |
| Reporter: | Laura Delnevo | Assignee: | Unassigned |
| Resolution: | Done | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | 3d 2h 20m | ||
| Original Estimate: | Not Specified | ||
| Issue Links: |
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| Epic Link: | [JCR] Search Performance issues | ||||||||||||
| Story Points: | 5 | ||||||||||||
| Team: | |||||||||||||
| Description |
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Create a testing environment with big data, so that we can measure Search Performance
The testing environment should contain a jcr db with:
Start with
Ideally M,N should be configurable numbers. Searching on a page/asset should reveal db bottlenecks. Please log those times as a base reference.
Create an internal page, with "step by step" instructions on how to create the testing environment. Also include links to resources (e.g: git repository) and search times for various queries. Grooming notes: |