[SERVER-30651] Parallelize calls to the Evergreen API in update_test_lifecycle.py Created: 14/Aug/17 Updated: 30/Oct/23 Resolved: 18/Aug/17 |
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| Status: | Closed |
| Project: | Core Server |
| Component/s: | Testing Infrastructure |
| Affects Version/s: | None |
| Fix Version/s: | 3.5.12 |
| Type: | Improvement | Priority: | Major - P3 |
| Reporter: | Yves Duhem | Assignee: | Yves Duhem |
| Resolution: | Fixed | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
| Backwards Compatibility: | Fully Compatible |
| Sprint: | TIG 2017-08-21, TIG 2017-09-11 |
| Participants: |
| Description |
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The update_test_lifecycle task issues a large number of queries to the Evergreen API. These should be parallelized where possible to speed up the task. While test batches can be processed sequentially, for each batch the history for each task should be retrieved in parallel. |
| Comments |
| Comment by Githook User [ 18/Aug/17 ] |
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Author: {'username': 'syev', 'email': 'yves.duhem@mongodb.com', 'name': 'Yves Duhem'}Message: |