[GitHub] [incubator-iceberg] moulimukherjee opened a new issue #274: Error while using bucket partitions

[GitBox <gi...@apache.org>]

moulimukherjee opened a new issue #274: Error while using bucket partitions
URL: https://github.com/apache/incubator-iceberg/issues/274
 
 
   Seeing following error while using the bucket partition
   
   ```java.lang.IllegalStateException: Already closed file for partition: _id_bucket=12
   at org.apache.iceberg.spark.source.Writer$PartitionedWriter.write(Writer.java:381)
   at org.apache.iceberg.spark.source.Writer$PartitionedWriter.write(Writer.java:342)
   at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:118)
   at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:116)
   at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
   at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:146)
   at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:67)
   at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:66)
   at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
   at org.apache.spark.scheduler.Task.run(Task.scala:121)
   at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
   at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
   at java.lang.Thread.run(Thread.java:748)
   ```
   
   The relevant code looks like
   ```
   val spec = PartitionSpec.builderFor(schema).bucket("_id", 800).build()
   ```
   
   Sorting by the column does not help as its bucketted using hash.
   

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