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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:42:23 UTC
[jira] [Resolved] (SPARK-15516) Schema merging in driver fails for
parquet when merging LongType and IntegerType
[ https://issues.apache.org/jira/browse/SPARK-15516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-15516.
----------------------------------
Resolution: Incomplete
> Schema merging in driver fails for parquet when merging LongType and IntegerType
> --------------------------------------------------------------------------------
>
> Key: SPARK-15516
> URL: https://issues.apache.org/jira/browse/SPARK-15516
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Environment: Databricks
> Reporter: Hossein Falaki
> Priority: Major
> Labels: bulk-closed
>
> I tried to create a table from partitioned parquet directories that requires schema merging. I get following error:
> {code}
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$24$$anonfun$apply$9.apply(ParquetRelation.scala:831)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$24$$anonfun$apply$9.apply(ParquetRelation.scala:826)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$24.apply(ParquetRelation.scala:826)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$24.apply(ParquetRelation.scala:801)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:756)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:756)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.SparkException: Failed to merge incompatible data types LongType and IntegerType
> at org.apache.spark.sql.types.StructType$.merge(StructType.scala:462)
> at org.apache.spark.sql.types.StructType$$anonfun$merge$1$$anonfun$apply$3.apply(StructType.scala:420)
> at org.apache.spark.sql.types.StructType$$anonfun$merge$1$$anonfun$apply$3.apply(StructType.scala:418)
> at scala.Option.map(Option.scala:145)
> at org.apache.spark.sql.types.StructType$$anonfun$merge$1.apply(StructType.scala:418)
> at org.apache.spark.sql.types.StructType$$anonfun$merge$1.apply(StructType.scala:415)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
> at org.apache.spark.sql.types.StructType$.merge(StructType.scala:415)
> at org.apache.spark.sql.types.StructType.merge(StructType.scala:333)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$24$$anonfun$apply$9.apply(ParquetRelation.scala:829)
> {code}
> cc @rxin and [~mengxr]
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