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From "Stephan Kessler (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-12449) Pushing down arbitrary logical plans to data sources
Date Mon, 21 Dec 2015 12:43:46 GMT
Stephan Kessler created SPARK-12449:
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             Summary: Pushing down arbitrary logical plans to data sources
                 Key: SPARK-12449
                 URL: https://issues.apache.org/jira/browse/SPARK-12449
             Project: Spark
          Issue Type: Improvement
          Components: SQL
            Reporter: Stephan Kessler


With the help of the DataSource API we can pull data from external sources for processing.
Implementing interfaces such as {{PrunedFilteredScan}} allows to push down filters and projects
pruning unnecessary fields and rows directly in the data source.

However, data sources such as SQL Engines are capable of doing even more preprocessing, e.g.,
evaluating aggregates. This is beneficial because it would reduce the amount of data transferred
from the source to Spark. The existing interfaces do not allow such kind of processing in
the source.

We would propose to add a new interface ({{CatalystSource}} that allows to defer the processing
of arbitrary logical plans to the data source. We have already shown the details at the Spark
Summit 2015 Europe [https://spark-summit.org/eu-2015/events/the-pushdown-of-everything/]

I will add a design document explaining details. 



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