[SPARK-1757] Support saving null primitives with .saveAsParquetFile()

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.0.0
• Fix Version/s: 1.0.0
• Component/s: SQL
• Assignee: Unassigned
• Reporter: Andrew Ash
• Created: 08/May/14 06:24
• Updated: 14/May/14 09:04
• Resolved: 13/May/14 03:49

Description

See stack trace below:

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)