Deegue created SPARK-26630:
------------------------------
Summary: ClassCastException in TableReader while creating HadoopRDD
Key: SPARK-26630
URL: https://issues.apache.org/jira/browse/SPARK-26630
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.0.0
Reporter: Deegue
This bug found in [link title|https://github.com/apache/spark/pull/23506] (PR
#23506).
It will throw ClassCastException when we use new input format (eg.
`org.apache.hadoop.mapreduce.InputFormat`) to create HadoopRDD.So we need to
use NewHadoopRDD to deal with this input format in TableReader.scala.
Exception :
{noformat}
Caused by: java.lang.ClassCastException:
org.apache.hadoop.mapreduce.lib.input.TextInputFormat cannot be cast to
org.apache.hadoop.mapred.InputFormat
at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:190)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:204)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:254)
at scala.Option.getOrElse(Option.scala:138)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:252)
at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:96)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$.prepareShuffleDependency(ShuffleExchangeExec.scala:343)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:101)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.$anonfun$doExecute$1(ShuffleExchangeExec.scala:137)
at
org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
... 87 more
{noformat}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
