yangBottle commented on a change in pull request #29178:
URL: https://github.com/apache/spark/pull/29178#discussion_r553872869
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File path: sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala
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@@ -299,7 +299,9 @@ class HadoopTableReader(
*/
private def createHadoopRDD(localTableDesc: TableDesc, inputPathStr:
String): RDD[Writable] = {
val inputFormatClazz = localTableDesc.getInputFileFormatClass
- if (classOf[newInputClass[_, _]].isAssignableFrom(inputFormatClazz)) {
+ if (!inputFormatClazz.getName.
+
equalsIgnoreCase("org.apache.hadoop.hive.hbase.HiveHBaseTableInputFormat")
Review comment:
It looks like the new MapReduce API (`org.apache.hadoop.mapreduce`) used
when creating NewHadoopRDD , but The getsplits method of
HiveHBaseTableInputFormat is implemented by org.apache.hadoop.mapred API，so
some initialization operations (Table、connection) are not done,so the obtained
variable table is null.And when using methord createOldHadoopRDD will use the
org.apache.hadoop.mapred API,and some initialization operations
(Table、connection) are doing,so it can work well.
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