Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/13701#discussion_r73934292
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
---
@@ -357,10 +358,27 @@ private[sql] class ParquetFileFormat
val hadoopAttemptContext =
new TaskAttemptContextImpl(broadcastedHadoopConf.value.value,
attemptId)
+ // Try to push down filters when filter push-down is enabled.
+ // Notice: This push-down is RowGroups level, not individual records.
+ if (pushed.isDefined) {
+
ParquetInputFormat.setFilterPredicate(hadoopAttemptContext.getConfiguration,
pushed.get)
+ }
val parquetReader = if (enableVectorizedReader) {
val vectorizedReader = new VectorizedParquetRecordReader()
vectorizedReader.initialize(split, hadoopAttemptContext)
logDebug(s"Appending $partitionSchema ${file.partitionValues}")
+
+ // For test purpose.
+ // If the predefined accumulator exists, the row group number to
read will be updated
+ // to the accumulator. So we can check if the row groups are
filtered or not in test case.
+ val taskContext = TaskContext.get()
+ if (taskContext != null) {
+ val accu =
taskContext.taskMetrics.lookForAccumulatorByName(accuNameForNumRowGroup)
+ if (accu.isDefined) {
+
accu.get.asInstanceOf[SQLMetric].add(vectorizedReader.getRowGroupCount().toLong)
--- End diff --
We could move this into SpecificParquetRecordReaderBase to minimize the
change.
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