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-rw-r--r--sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala2
-rw-r--r--sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala2
2 files changed, 2 insertions, 2 deletions
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala
index f4b61381f9..b70ec897e4 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala
@@ -662,7 +662,7 @@ object HiveQl {
// worth the number of hacks that will be required to implement it. Namely, we need to add
// some sort of mapped star expansion that would expand all child output row to be similarly
// named output expressions where some aggregate expression has been applied (i.e. First).
- ??? /// Aggregate(groups, Star(None, First(_)) :: Nil, joinedResult)
+ ??? // Aggregate(groups, Star(None, First(_)) :: Nil, joinedResult)
case Token(allJoinTokens(joinToken),
relation1 ::
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala
index ca53113446..0da5eb754c 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala
@@ -94,7 +94,7 @@ class HadoopTableReader(@transient _tableDesc: TableDesc, @transient sc: HiveCon
val tablePath = hiveTable.getPath
val inputPathStr = applyFilterIfNeeded(tablePath, filterOpt)
- //logDebug("Table input: %s".format(tablePath))
+ // logDebug("Table input: %s".format(tablePath))
val ifc = hiveTable.getInputFormatClass
.asInstanceOf[java.lang.Class[InputFormat[Writable, Writable]]]
val hadoopRDD = createHadoopRdd(tableDesc, inputPathStr, ifc)