Hi ,
I am using Spark SQL 1.3.1.
I have created a dataFrame using jdbc data source and am using saveAsTable()
method but got the following 2 exceptions:
java.lang.RuntimeException: Unsupported datatype DecimalType()
at scala.sys.package$.error(package.scala:27)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$fromDataType$2.apply(ParquetTypes.scala:372)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$fromDataType$2.apply(ParquetTypes.scala:316)
at scala.Option.getOrElse(Option.scala:120)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetTypes.scala:315)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$4.apply(ParquetTypes.scala:395)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$4.apply(ParquetTypes.scala:394)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.immutable.List.foreach(List.scala:318)
at
scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$.convertFromAttributes(ParquetTypes.scala:393)
at
org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetTypes.scala:440)
at
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache.prepareMetadata(newParquet.scala:260)
at
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:276)
at
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:269)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.immutable.List.foreach(List.scala:318)
at
scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache.refresh(newParquet.scala:269)
at
org.apache.spark.sql.parquet.ParquetRelation2.<init>(newParquet.scala:391)
at
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:98)
at
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:128)
at
org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:240)
at
org.apache.spark.sql.hive.execution.CreateMetastoreDataSourceAsSelect.run(commands.scala:218)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:54)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:54)
at
org.apache.spark.sql.execution.ExecutedCommand.execute(commands.scala:64)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:1099)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:1099)
at org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1121)
at org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1071)
at org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1037)
at org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1015)
java.lang.ClassCastException: java.sql.Date cannot be cast to
java.lang.Integer
at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
at
org.apache.spark.sql.parquet.RowWriteSupport.writePrimitive(ParquetTableSupport.scala:215)
at
org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:192)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
at
parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
at
parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
at
parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
at
org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:671)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:689)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:689)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:722)
Earlier I was using Spark SQL 1.3.0 and was getting some other exception so
I upgraded to 1.3.1 but got a different exception.
Any help would be appreciated
Regards,
Ishwardeep
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