Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/10942#discussion_r51534160
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala ---
@@ -59,6 +61,162 @@ class BucketedReadSuite extends QueryTest with
SQLTestUtils with TestHiveSinglet
}
}
+ // To verify if the bucket pruning works, this function checks two
conditions:
+ // 1) Check if the pruned buckets (before filtering) are empty.
+ // 2) Verify the final result is the same as the expected one
+ private def checkPrunedAnswers(
+ bucketSpec: BucketSpec,
+ bucketValues: Seq[Integer],
+ filterCondition: Column,
+ bucketedDataFrame: DataFrame,
+ expectedAnswer: DataFrame): Unit = {
+
+ val BucketSpec(numBuckets, bucketColumnNames, _) = bucketSpec
+ // Limit: bucket pruning only works when the bucket column has one and
only one column
+ assert(bucketColumnNames.length == 1)
+ val bucketColumnIndex =
bucketedDataFrame.schema.fieldIndex(bucketColumnNames.head)
+ val bucketColumn = bucketedDataFrame.schema.toAttributes.head
+ val matchedBuckets = new BitSet(numBuckets)
+ bucketValues.foreach { value =>
+ matchedBuckets.set(DataSourceStrategy.getBucketId(bucketColumn,
numBuckets, value))
+ }
+
+ // Filter could hide the bug in bucket pruning. Thus, skipping all the
filters
+ val rdd = bucketedDataFrame.filter(filterCondition).queryExecution
+ .executedPlan.find(_.isInstanceOf[PhysicalRDD])
+ assert(rdd.isDefined)
+
+ val checkedResult = rdd.get.execute().mapPartitionsWithIndex { case
(index, iter) =>
+ if (matchedBuckets.get(index % numBuckets)) Iterator(true) else
Iterator(iter.isEmpty)
--- End diff --
I see, that is for each partition. Here, `rdd` could includes multiple
partitions. If we do not use `%`, the test case will fail.
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