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https://issues.apache.org/jira/browse/SPARK-1757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Andrew Ash resolved SPARK-1757.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.0.0
https://github.com/apache/spark/pull/690
> Support saving null primitives with .saveAsParquetFile()
> --------------------------------------------------------
>
> Key: SPARK-1757
> URL: https://issues.apache.org/jira/browse/SPARK-1757
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.0.0
> Reporter: Andrew Ash
> Fix For: 1.0.0
>
>
> See stack trace below:
> {noformat}
> 14/05/07 21:45:51 INFO analysis.Analyzer: Max iterations (2) reached for
> batch MultiInstanceRelations
> 14/05/07 21:45:51 INFO analysis.Analyzer: Max iterations (2) reached for
> batch CaseInsensitiveAttributeReferences
> 14/05/07 21:45:51 INFO optimizer.Optimizer$: Max iterations (2) reached for
> batch ConstantFolding
> 14/05/07 21:45:51 INFO optimizer.Optimizer$: Max iterations (2) reached for
> batch Filter Pushdown
> java.lang.RuntimeException: Unsupported datatype StructType(List())
> at scala.sys.package$.error(package.scala:27)
> at
> org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetRelation.scala:201)
> at
> org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235)
> at
> org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235)
> 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$.convertFromAttributes(ParquetRelation.scala:234)
> at
> org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetRelation.scala:267)
> at
> org.apache.spark.sql.parquet.ParquetRelation$.createEmpty(ParquetRelation.scala:143)
> at
> org.apache.spark.sql.parquet.ParquetRelation$.create(ParquetRelation.scala:122)
> at
> org.apache.spark.sql.execution.SparkStrategies$ParquetOperations$.apply(SparkStrategies.scala:139)
> 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$lzycompute(SQLContext.scala:264)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:264)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:265)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:265)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:268)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:268)
> at
> org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(SchemaRDDLike.scala:66)
> at
> org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:96)
> {noformat}
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