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Some of the read tools simply run an i.e. aggregate or read query and load everything into memory. This can be quite problematic for a collection with millions of items.
We should test this against a very large collection and come up with mitigations (perhaps impose a hard limit or do a count and prompt the user to give a limit if the size is too large).
The text was updated successfully, but these errors were encountered:
Some of the read tools simply run an i.e. aggregate or read query and load everything into memory. This can be quite problematic for a collection with millions of items.
We should test this against a very large collection and come up with mitigations (perhaps impose a hard limit or do a count and prompt the user to give a limit if the size is too large).
The text was updated successfully, but these errors were encountered: