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You can make Delta Lake queries faster by using column projection and predicate pushdown. These tools accelerate reads and subsequent queries by reducing the amount of data being sent to the Ray cluster.
This PR adds the
filters
argument to theread_delta
method withindeltaray
. Thefilters
argument accepts a PyArrow dataset expression, documentation here. This can be used to query Delta tables with Ray while taking advantage of both column pruning and now predicate pushdown filters. Example below:If accepted, this PR will close issue 1 and support file skipping via filters.