GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/8922
[SPARK-10841][SQL] Add pushdown support of UDF for Parquet
JIRA: https://issues.apache.org/jira/browse/SPARK-10841
Currently we can't push down filters involving UDFs to Parquet. In
practice, we have some usage of UDFs in filters, e.g.,
SELECT * FROM table WHERE udf(customer_id) = "ABC"
In above query, `customer_id` is a column storing customer id in some way.
`udf` is a function used to parse this column to string value. Without pushing
down the filter to Parquet, we will fetch all data from many Parquet files and
then perform filtering in Spark.
Using Parquet's `UserDefinedPredicate`, we can push down these filters to
Parquet. This patch adds the support for this. This patch currently only
implements `EqualTo` predicate. Other predicates such as `LessThan`,
`GreaterThan` will be implemented in following PRs.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 parquet-udf-pushdown
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8922.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #8922
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commit a673e789325ee40ee0e519bb48a5a3aa184c67c8
Author: Liang-Chi Hsieh <[email protected]>
Date: 2015-09-26T07:39:23Z
Add pushdown support of UDF for parquet.
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