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@valayDave valayDave commented Sep 19, 2024

  • this change will ensure ds-root is available via metadata so that cards can be directly accessed from the API endpoint .
  • We extract ds-root from the metadata table to retrieve cards.
  • shedding dead code in light of new changes.
  • We also change the API route like
  • Instead of having a cache, it directly asks S3 when it gets requested a card-id (which consists of hash,type,user-id).
  • This works very nicely for the data-update / HTML retrieval route.
  • The cache is useful for the list card method
"/flows/{flow_id}/runs/{run_number}/steps/{step_name}/tasks/{task_id}/cards/{type}/{uuid}?{user_set_id}="

- deadlocks happened when cleanups coincided with heavy load
- tests simulating a cleanup (disk + shared-objects) and heavy load together were successfully able to reproduce the deadlock situation
- Locking at the `context` level:
    - Each time we want to clean up we lock to create a new context
    - All directories/processes are written within that new context.
    - Switching this context which ensure that all new processes get created differently and the cleanup process can safely remove everything.
    - Context also sets the read/write directory for the cache object used in the API endpoint.
    - All locking on the API side now always time-bound. The code time's out if it can't acquire a lock.
    - The method ensure that all operations won't in-definately hold the lock.
- Changed defaults for minimum amount to time to wait for cards in the cache process to 20 seconds (helps make things snappier)
- Added `timings` dict in card cache to optimize loading cycles (Ensured that it is set based on a per-card basis)
- this change will ensure ds-root is available via metadata so that cards can be directly accessed from the API endpoint .
- We extract ds-root from the metadata table to retrieve cards.
- shedding dead code in light of new changes.
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