hameizi opened a new issue #2896:
URL: https://github.com/apache/iceberg/issues/2896
I use the feature in spark-iceberg "table migration" and i execute the sql
as below, but when i read the migrate table i get execption like this "Previous
exception in task: tried to release a buffer that was not created by this
stream, java.nio.DirectByteBuffer[pos=0 lim=7 cap=13]"
`CALL
hive.system.snapshot('spark_catalog.flink.hive_adv_game_recommend_test17',
'hive.flink.iceberg2_hive_adv_game_recommend_test17');`
`select uuid from hive.flink.iceberg2_hive_adv_game_recommend_test17;`
The total execption info is
`21/07/30 15:45:27 ERROR source.BaseDataReader: Error reading file:
hdfs://stream/data/hive/meta/root/hive-databases/flink.db/hive_adv_game_recommend_test17/pt=test/result-1627524904535.orc
java.lang.IllegalArgumentException: tried to release a buffer that was not
created by this stream, java.nio.DirectByteBuffer[pos=0 lim=7 cap=13]
at
org.apache.hadoop.hdfs.DFSInputStream.releaseBuffer(DFSInputStream.java:1847)
at
org.apache.hadoop.fs.FSDataInputStream.releaseBuffer(FSDataInputStream.java:212)
at
org.apache.iceberg.shaded.org.apache.orc.impl.ZeroCopyShims$ZeroCopyAdapter.releaseBuffer(ZeroCopyShims.java:75)
at
org.apache.iceberg.shaded.org.apache.orc.impl.RecordReaderUtils$DefaultDataReader.releaseBuffer(RecordReaderUtils.java:132)
at
org.apache.iceberg.shaded.org.apache.orc.impl.reader.StripePlanner$StreamInformation.releaseBuffers(StripePlanner.java:518)
at
org.apache.iceberg.shaded.org.apache.orc.impl.reader.StripePlanner.clearStreams(StripePlanner.java:183)
at
org.apache.iceberg.shaded.org.apache.orc.impl.RecordReaderImpl.clearStreams(RecordReaderImpl.java:1090)
at
org.apache.iceberg.shaded.org.apache.orc.impl.RecordReaderImpl.close(RecordReaderImpl.java:1266)
at
org.apache.iceberg.orc.VectorizedRowBatchIterator.close(VectorizedRowBatchIterator.java:50)
at
org.apache.iceberg.orc.OrcIterable$OrcRowIterator.close(OrcIterable.java:169)
at org.apache.iceberg.io.FilterIterator.close(FilterIterator.java:83)
at
org.apache.iceberg.io.FilterIterator.advance(FilterIterator.java:73)
at
org.apache.iceberg.io.FilterIterator.hasNext(FilterIterator.java:50)
at
org.apache.iceberg.spark.source.BaseDataReader.next(BaseDataReader.java:87)
at
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:79)
at
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:112)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:462)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:465)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
`
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