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Posted to issues@spark.apache.org by "zhangzhanchang (Jira)" <ji...@apache.org> on 2022/10/27 06:10:00 UTC
[jira] [Comment Edited] (SPARK-34210) Cannot create a record reader because of a previous error when spark accesses the hive on HBase table
[ https://issues.apache.org/jira/browse/SPARK-34210?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17624873#comment-17624873 ]
zhangzhanchang edited comment on SPARK-34210 at 10/27/22 6:09 AM:
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The reason for not merging into the main branch is that the community thinks it is a Hadoop bug。If you encounter this problem, you need to fix it
was (Author: zzccctv):
The reason for not merging into the main branch is that the community thinks it is a Hadoop bug。If you need to encounter this problem, If you encounter this problem, you need to fix it
> Cannot create a record reader because of a previous error when spark accesses the hive on HBase table
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-34210
> URL: https://issues.apache.org/jira/browse/SPARK-34210
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: zhangzhanchang
> Priority: Major
>
> It is normal for version 2.4.6 to use spark SQL to access hive on HBase table,Upgrade to spark3.0.1 with the following exception：
> 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:252)
> at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:131)
> at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
> at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
> Caused by: java.lang.IllegalStateException: The input format instance has not been properly initialized. Ensure you call initializeTable either in your constructor or initialize method
> at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getTable(TableInputFormatBase.java:585)
> at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:247)
> ... 59 more
> 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.
>
>
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