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https://issues.apache.org/jira/browse/HUDI-7938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17864995#comment-17864995
]
Geser Dugarov commented on HUDI-7938:
-------------------------------------
Raised an issue to discuss expected behavior in 1.0-rc2 release:
https://github.com/apache/hudi/issues/11616
> Missed HoodieSparkKryoRegistrar in Hadoop config by default
> -----------------------------------------------------------
>
> Key: HUDI-7938
> URL: https://issues.apache.org/jira/browse/HUDI-7938
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: Geser Dugarov
> Assignee: Geser Dugarov
> Priority: Major
>
> HUDI-7567 Add schema evolution to the filegroup reader (#10957),
> but broke integration with PySpark.
> When trying to call
> {quote}df_load =
> spark.read.format({color:#067d17}"org.apache.hudi"{color}).load(tmp_dir_path)
> df_load.collect()
> {quote}
>
> got:
>
> {quote}24/06/28 11:22:06 WARN TaskSetManager: Lost task 1.0 in stage 27.0
> (TID 31) (10.199.141.90 executor 0): java.lang.NullPointerException
> at org.apache.hadoop.conf.Configuration.<init>(Configuration.java:842)
> at
> org.apache.hudi.storage.hadoop.HadoopStorageConfiguration.unwrapCopy(HadoopStorageConfiguration.java:73)
> at
> org.apache.hudi.storage.hadoop.HadoopStorageConfiguration.unwrapCopy(HadoopStorageConfiguration.java:36)
> at
> org.apache.spark.sql.execution.datasources.parquet.SparkParquetReaderBase.read(SparkParquetReaderBase.scala:58)
> at
> org.apache.spark.sql.execution.datasources.parquet.HoodieFileGroupReaderBasedParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(HoodieFileGroupReaderBasedParquetFileFormat.scala:197)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:231)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:293)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
> at
> org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:594)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:891)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:891)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
> at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
> at org.apache.spark.scheduler.Task.run(Task.scala:139)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1529)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:750)
> {quote}
> Spark 3.4.3 was used.
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