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From Manoj Samel <manojsamelt...@gmail.com>
Subject spark 1.2 - Writing parque fails for timestamp with "Unsupported datatype TimestampType"
Date Fri, 23 Jan 2015 19:40:05 GMT
Using Spark 1.2

Read a CSV file, apply schema to convert to SchemaRDD and then
schemaRdd.saveAsParquetFile

If the schema includes Timestamptype, it gives following trace when doing
the save

Exception in thread "main" java.lang.RuntimeException: Unsupported datatype
TimestampType

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:166)

at org.apache.spark.sql.parquet.ParquetRelation$.create(
ParquetRelation.scala:145)

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:418)

at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(
SQLContext.scala:416)

at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(
SQLContext.scala:422)

at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(
SQLContext.scala:422)

at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(
SQLContext.scala:425)

at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:425
)

at org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(
SchemaRDDLike.scala:76)

at org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:108)

at bdrt.MyTest$.createParquetWithDate(MyTest.scala:88)

at bdrt.MyTest$delayedInit$body.apply(MyTest.scala:54)

at scala.Function0$class.apply$mcV$sp(Function0.scala:40)

at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)

at scala.App$$anonfun$main$1.apply(App.scala:71)

at scala.App$$anonfun$main$1.apply(App.scala:71)

at scala.collection.immutable.List.foreach(List.scala:318)

at scala.collection.generic.TraversableForwarder$class.foreach(
TraversableForwarder.scala:32)

at scala.App$class.main(App.scala:71)

at bdrt.MyTest$.main(MyTest.scala:10)

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