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https://issues.apache.org/jira/browse/SPARK-10113?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14996026#comment-14996026
]
Hyukjin Kwon commented on SPARK-10113:
--------------------------------------
[~lian cheng] Just to double check.., Could I ask if this is intentionally
omitted?
> 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}
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