Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/10942#discussion_r51533620 --- 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 -- actually the `index` is guaranteed to be less than `numBuckets`, see `HadoopFsRelation.buildInternalScan`
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