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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2014/12/19 22:11:14 UTC

[jira] [Updated] (SPARK-4657) Suport storing decimals in Parquet that don't fit in a LONG

     [ https://issues.apache.org/jira/browse/SPARK-4657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust updated SPARK-4657:
------------------------------------
    Summary: Suport storing decimals in Parquet that don't fit in a LONG  (was: RuntimeException: Unsupported datatype DecimalType())

> Suport storing decimals in Parquet that don't fit in a LONG
> -----------------------------------------------------------
>
>                 Key: SPARK-4657
>                 URL: https://issues.apache.org/jira/browse/SPARK-4657
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.2.0
>            Reporter: pengyanhong
>
> execute a query statement on a Hive table which contains decimal data type field, than save the result into tachyon as parquet file, got error as below:
> {quote}
> java.lang.RuntimeException: Unsupported datatype DecimalType()
>         at scala.sys.package$.error(package.scala:27)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$fromDataType$2.apply(ParquetTypes.scala:343)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$fromDataType$2.apply(ParquetTypes.scala:292)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetTypes.scala:291)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$4.apply(ParquetTypes.scala:363)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$4.apply(ParquetTypes.scala:362)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>         at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         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:361)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetTypes.scala:407)
>         at org.apache.spark.sql.parquet.ParquetRelation$.createEmpty(ParquetRelation.scala:151)
>         at org.apache.spark.sql.parquet.ParquetRelation$.create(ParquetRelation.scala:130)
>         at org.apache.spark.sql.execution.SparkStrategies$ParquetOperations$.apply(SparkStrategies.scala:204)
>         at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>         at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>         at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>         at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
>         at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:417)
>         at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:415)
>         at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:421)
>         at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:421)
>         at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:424)
>         at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:424)
>         at org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(SchemaRDDLike.scala:76)
>         at org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:103)
>         at com.jd.jddp.spark.hive.Cache$.cacheTable(Cache.scala:33)
>         at com.jd.jddp.spark.hive.Cache$$anonfun$main$5.apply(Cache.scala:61)
>         at com.jd.jddp.spark.hive.Cache$$anonfun$main$5.apply(Cache.scala:59)
>         at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
>         at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
>         at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
>         at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
>         at com.jd.jddp.spark.hive.Cache$.main(Cache.scala:59)
>         at com.jd.jddp.spark.hive.Cache.main(Cache.scala)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
>         at java.lang.reflect.Method.invoke(Method.java:597)
>         at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:459)
> {quote}



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