DeyinZhong commented on a change in pull request #29178:
URL: https://github.com/apache/spark/pull/29178#discussion_r458500082
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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")
+ && classOf[newInputClass[_, _]].isAssignableFrom(inputFormatClazz)) {
Review comment:
I try Spark2.4.3 can work well.
spark3.0.0 will createNewHadoopRDD, and call 'val allRowSplits =
inputFormat.getSplits(new JobContextImpl(_conf, jobId)).asScala' in method
getPartitions, this will call TableInputFormatBase.getSplits(JobContext
context), but the variable table is null, so throw the execption;
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