Andrew Ash created SPARK-1757:
---------------------------------
Summary: 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
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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