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Mehul Thakkar commented on HIVE-24706: -------------------------------------- I encountered the same issue with Spark 3.x and Scala 2.12.x. It works fine with Spark 2.4.x and Scala 2.11.x *Exception in thread "main" java.io.IOException: Cannot create a record reader because of a previous error. Please look at the previous logs lines from the task's full log for more details. at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:253) at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:131) at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300) I am calling spark-submit as follows.* The status of this bug is still open. I am wondering when it will be fixed in the official release.{*}{*} > Spark SQL access hive on HBase table access exception > ----------------------------------------------------- > > Key: HIVE-24706 > URL: https://issues.apache.org/jira/browse/HIVE-24706 > Project: Hive > Issue Type: Bug > Components: HBase Handler > Reporter: zhangzhanchang > Priority: Major > Attachments: image-2021-01-30-15-51-58-665.png > > > Hivehbasetableinputformat relies on two versions of inputformat,one is > org.apache.hadoop.mapred.InputFormat, the other is > org.apache.hadoop.mapreduce.InputFormat,Causes > spark 3.0(https://github.com/apache/spark/pull/31302) both conditions to be > true: > # classOf[oldInputClass[_, _]].isAssignableFrom(inputFormatClazz) is true > # classOf[newInputClass[_, _]].isAssignableFrom(inputFormatClazz) is true > !image-2021-01-30-15-51-58-665.png|width=430,height=137! > Hivehbasetableinputformat relies on inputformat to be changed to > org.apache.hadoop.mapreduce or org.apache.hadoop.mapred? > -- This message was sent by Atlassian Jira (v8.20.10#820010)