Jordan Thomas created SPARK-10113: ------------------------------------- Summary: Support for unsigned Parquet logical types Key: SPARK-10113 URL: https://issues.apache.org/jira/browse/SPARK-10113 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 1.5.0 Reporter: Jordan Thomas
Add support for unsigned Parquet logical types UINT_16, UINT_32 and UINT_64. {code} org.apache.spark.sql.AnalysisException: Illegal Parquet type: INT64 (UINT_64); at org.apache.spark.sql.parquet.CatalystSchemaConverter.illegalType$1(CatalystSchemaConverter.scala:130) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertPrimitiveField(CatalystSchemaConverter.scala:169) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:115) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:97) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:94) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.CatalystSchemaConverter.org$apache$spark$sql$parquet$CatalystSchemaConverter$$convert(CatalystSchemaConverter.scala:94) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$convertGroupField$1.apply(CatalystSchemaConverter.scala:200) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$convertGroupField$1.apply(CatalystSchemaConverter.scala:200) at scala.Option.fold(Option.scala:158) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertGroupField(CatalystSchemaConverter.scala:200) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:116) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:97) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:94) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.CatalystSchemaConverter.org$apache$spark$sql$parquet$CatalystSchemaConverter$$convert(CatalystSchemaConverter.scala:94) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convert(CatalystSchemaConverter.scala:91) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$readSchemaFromFooter$2.apply(ParquetRelation.scala:734) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$readSchemaFromFooter$2.apply(ParquetRelation.scala:734) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.parquet.ParquetRelation$.readSchemaFromFooter(ParquetRelation.scala:734) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28$$anonfun$apply$8.apply(ParquetRelation.scala:714) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28$$anonfun$apply$8.apply(ParquetRelation.scala:713) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28.apply(ParquetRelation.scala:713) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28.apply(ParquetRelation.scala:692) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 15/08/19 07:10:26 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, localhost): org.apache.spark.sql.AnalysisException: Illegal Parquet type: INT64 (UINT_64); at org.apache.spark.sql.parquet.CatalystSchemaConverter.illegalType$1(CatalystSchemaConverter.scala:130) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertPrimitiveField(CatalystSchemaConverter.scala:169) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:115) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:97) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:94) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.CatalystSchemaConverter.org$apache$spark$sql$parquet$CatalystSchemaConverter$$convert(CatalystSchemaConverter.scala:94) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$convertGroupField$1.apply(CatalystSchemaConverter.scala:200) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$convertGroupField$1.apply(CatalystSchemaConverter.scala:200) at scala.Option.fold(Option.scala:158) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertGroupField(CatalystSchemaConverter.scala:200) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:116) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:97) at org.apache.spark.sql.parquet.CatalystSchemaConverter$$anonfun$2.apply(CatalystSchemaConverter.scala:94) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.CatalystSchemaConverter.org$apache$spark$sql$parquet$CatalystSchemaConverter$$convert(CatalystSchemaConverter.scala:94) at org.apache.spark.sql.parquet.CatalystSchemaConverter.convert(CatalystSchemaConverter.scala:91) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$readSchemaFromFooter$2.apply(ParquetRelation.scala:734) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$readSchemaFromFooter$2.apply(ParquetRelation.scala:734) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.parquet.ParquetRelation$.readSchemaFromFooter(ParquetRelation.scala:734) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28$$anonfun$apply$8.apply(ParquetRelation.scala:714) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28$$anonfun$apply$8.apply(ParquetRelation.scala:713) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28.apply(ParquetRelation.scala:713) at org.apache.spark.sql.parquet.ParquetRelation$$anonfun$28.apply(ParquetRelation.scala:692) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org