nmyphp opened a new issue #3636:
URL: https://github.com/apache/iceberg/issues/3636
I'm seeing this as well with iceberg 0.12.0 in spark when trying to query a
table:
```
21/12/01 15:12:03 WARN HadoopStreams: Unclosed input stream created by:
org.apache.iceberg.hadoop.HadoopStreams$HadoopSeekableInputStream.<init>(HadoopStreams.java:81)
org.apache.iceberg.hadoop.HadoopStreams.wrap(HadoopStreams.java:56)
org.apache.iceberg.hadoop.HadoopInputFile.newStream(HadoopInputFile.java:175)
org.apache.iceberg.parquet.ParquetIO$ParquetInputFile.newStream(ParquetIO.java:181)
org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.<init>(ParquetFileReader.java:773)
org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.open(ParquetFileReader.java:657)
org.apache.iceberg.parquet.ReadConf.newReader(ReadConf.java:218)
org.apache.iceberg.parquet.ReadConf.<init>(ReadConf.java:74)
org.apache.iceberg.parquet.ParquetReader.init(ParquetReader.java:66)
org.apache.iceberg.parquet.ParquetReader.iterator(ParquetReader.java:77)
org.apache.iceberg.parquet.ParquetReader.iterator(ParquetReader.java:38)
org.apache.iceberg.util.Filter.lambda$filter$0(Filter.java:35)
org.apache.iceberg.io.CloseableIterable$2.iterator(CloseableIterable.java:73)
org.apache.iceberg.spark.source.RowDataReader.open(RowDataReader.java:78)
org.apache.iceberg.spark.source.BaseDataReader.next(BaseDataReader.java:93)
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:79)
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:112)
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_1$(Unknown
Source)
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
Source)
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
org.apache.spark.scheduler.Task.run(Task.scala:131)
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:834)
```
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