[MGNLPER-182] Create environment with big-data Created: 14/Dec/22  Updated: 18/Aug/23  Resolved: 19/Apr/23

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:
Relates
dependency
is depended upon by MGNLPER-184 Visibility on Search Performance envi... Closed
Template:
Date of First Response:
Epic Link: [JCR] Search Performance issues
Story Points: 5
Team: AuthorX

 Description   

Create a testing environment with big data, so that we can measure Search Performance MAGNOLIA-8502 improvements through time 

 

The testing environment should contain a jcr db with:

  • N number of pages 
    M number of assets

Start with

  • 250k pages
  • 1M assets

 

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:
  https://www.notion.so/magnoliacms/AuthorX-Adhoc-34c60bc80e1b4c9db74f63865ff14be9


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