Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16910#discussion_r102568726
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala ---
@@ -114,22 +114,30 @@ class HadoopTableReader(
val tablePath = hiveTable.getPath
val inputPathStr = applyFilterIfNeeded(tablePath, filterOpt)
- // logDebug("Table input: %s".format(tablePath))
- val ifc = hiveTable.getInputFormatClass
- .asInstanceOf[java.lang.Class[InputFormat[Writable, Writable]]]
- val hadoopRDD = createHadoopRdd(tableDesc, inputPathStr, ifc)
-
- val attrsWithIndex = attributes.zipWithIndex
- val mutableRow = new SpecificInternalRow(attributes.map(_.dataType))
-
- val deserializedHadoopRDD = hadoopRDD.mapPartitions { iter =>
- val hconf = broadcastedHadoopConf.value.value
- val deserializer = deserializerClass.newInstance()
- deserializer.initialize(hconf, tableDesc.getProperties)
- HadoopTableReader.fillObject(iter, deserializer, attrsWithIndex,
mutableRow, deserializer)
- }
+ val locationPath = new Path(inputPathStr)
+ val fs = locationPath.getFileSystem(broadcastedHadoopConf.value.value)
+
+ // if the table location does not exist, return an empty RDD
+ if (!fs.exists(locationPath)) {
--- End diff --
hmmm, how about hive serde tables with storage handler? their data is
stored in somewhere else(maybe in hbase) and the table path is always
non-existing.
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