Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/10604#discussion_r49762603
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -683,7 +699,28 @@ abstract class HadoopFsRelation private[sql](
}
}
- buildInternalScan(requiredColumns, filters, inputStatuses,
broadcastedConf)
+ if (bucketSpec.isDefined && sqlContext.conf.bucketingEnabled()) {
+ groupBucketFiles(inputStatuses).map { groupedBucketFiles =>
+ // For each bucket id, firstly we get all files belong to this
bucket, by detecting bucket
+ // id from file name. Then read these files into a RDD(use
one-partition empty RDD for empty
+ // bucket), and coalesce it to one partition. Finally union all
bucket RDDs to final result.
+ val perBucketRows = (0 until bucketSpec.get.numBuckets).map {
bucketId =>
+ val inputStatuses = groupedBucketFiles.get(bucketId)
+ if (inputStatuses.isEmpty) {
+ sqlContext.emptyResult
+ } else {
+ buildInternalScan(
+ requiredColumns, filters, inputStatuses.get,
broadcastedConf).coalesce(1)
+ }
+ }
+
+ new UnionRDD(sqlContext.sparkContext, perBucketRows)
+ }.getOrElse {
+ buildInternalScan(requiredColumns, filters, inputStatuses,
broadcastedConf)
--- End diff --
Can you just fallback this way? If the metadata says it is bucketed, it
needs to be bucketed.
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