#30533: Delete cascade can break postgresql database: too large 'DELETE FROM a
WHERE a.b_id IN (...)'
-------------------------------------+-------------------------------------
     Reporter:  Thomas Riccardi      |                    Owner:  nobody
         Type:  Bug                  |                   Status:  new
    Component:  Database layer       |                  Version:  master
  (models, ORM)                      |
     Severity:  Normal               |               Resolution:
     Keywords:  queryset delete      |             Triage Stage:
  cascade batch bulk_batch_size      |  Unreviewed
  postgresql crash                   |
    Has patch:  0                    |      Needs documentation:  0
  Needs tests:  0                    |  Patch needs improvement:  0
Easy pickings:  0                    |                    UI/UX:  0
-------------------------------------+-------------------------------------

Comment (by Thomas Riccardi):

 Replying to [comment:1 felixxm]:
 > Thanks for the report. Do you know any source that describes the max
 number of parameters for PostgreSQL? (e.g. 64k is specified in db docs on
 Oracle).

 I think there is no hardcoded limits in postgresql; what I think probably
 happened is a high memory allocation that resulted in an OOMKill on the
 connection process on the db side: with more RAM the query could probably
 work.

 The queries pattern in this scenario is:
 - get all B objects to delete: SELECT
 - delete all A related objects: the unbound DELETE IN that crashes
 - delete all B objects: DELETE IN with batch of 100

 It would make sense to have the same size for the 2 DELETE IN, but 100 is
 really small for DELETEs (the result size is constant, not proportional to
 the number of deleted objects): maybe add another constant for DELETE:
 `GET_ITERATOR_CHUNK_SIZE` should be for get (where the result size is
 proportional to the number of objects), with a much higher value; this
 could be part of the fix for this ticket?

-- 
Ticket URL: <https://code.djangoproject.com/ticket/30533#comment:2>
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