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Apache Spark commented on SPARK-24927: -------------------------------------- User 'liancheng' has created a pull request for this issue: https://github.com/apache/spark/pull/21879 > The hadoop-provided profile doesn't play well with Snappy-compressed Parquet > files > ---------------------------------------------------------------------------------- > > Key: SPARK-24927 > URL: https://issues.apache.org/jira/browse/SPARK-24927 > Project: Spark > Issue Type: Bug > Components: Build > Affects Versions: 2.3.1, 2.3.2 > Reporter: Cheng Lian > Priority: Major > > Reproduction: > {noformat} > wget > https://archive.apache.org/dist/spark/spark-2.3.1/spark-2.3.1-bin-without-hadoop.tgz > wget > https://archive.apache.org/dist/hadoop/core/hadoop-2.7.3/hadoop-2.7.3.tar.gz > tar xzf spark-2.3.1-bin-without-hadoop.tgz > tar xzf hadoop-2.7.3.tar.gz > export SPARK_DIST_CLASSPATH=$(hadoop-2.7.3/bin/hadoop classpath) > ./spark-2.3.1-bin-without-hadoop/bin/spark-shell --master local > ... > scala> > spark.range(1).repartition(1).write.mode("overwrite").parquet("file:///tmp/test.parquet") > {noformat} > Exception: > {noformat} > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1602) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1590) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1589) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1589) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1823) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) > ... 69 more > Caused by: org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:285) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:197) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:196) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) > 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) > Caused by: java.lang.UnsatisfiedLinkError: > org.xerial.snappy.SnappyNative.maxCompressedLength(I)I > at org.xerial.snappy.SnappyNative.maxCompressedLength(Native Method) > at org.xerial.snappy.Snappy.maxCompressedLength(Snappy.java:316) > at > org.apache.parquet.hadoop.codec.SnappyCompressor.compress(SnappyCompressor.java:67) > at > org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81) > at > org.apache.hadoop.io.compress.CompressorStream.finish(CompressorStream.java:92) > at > org.apache.parquet.hadoop.CodecFactory$BytesCompressor.compress(CodecFactory.java:112) > at > org.apache.parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.writePage(ColumnChunkPageWriteStore.java:93) > at > org.apache.parquet.column.impl.ColumnWriterV1.writePage(ColumnWriterV1.java:150) > at > org.apache.parquet.column.impl.ColumnWriterV1.flush(ColumnWriterV1.java:238) > at > org.apache.parquet.column.impl.ColumnWriteStoreV1.flush(ColumnWriteStoreV1.java:121) > at > org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:167) > at > org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:109) > at > org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:163) > at > org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetOutputWriter.scala:42) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.releaseResources(FileFormatWriter.scala:405) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:396) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:269) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:267) > at > org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1414) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) > ... 8 more > {noformat} > Root cause: > # Spark 2.3 [requires snappy-java 1.1.2.6 > explicitly|https://github.com/apache/spark/blob/v2.3.1/pom.xml#L163] in the > root POM. > # However, the scope of snappy-java is set to {{$\{hadoop.deps.scope}}}, > which is [set to > {{provided}}|https://github.com/apache/spark/blob/v2.3.1/assembly/pom.xml#L224] > when the {{hadoop-provided}} profile is enabled. > Therefore, snappy-java 1.1.2.6 is not included in the pre-built > {{spark-2.3.1-bin-without-hadoop.tgz}} package. Instead, snappy-java 1.0.4.1, > which is bundled with Hadoop 2.3.1, is used in the reproduction above and > caused the link error. > I think we can simply remove [this > line|https://github.com/apache/spark/blob/v2.3.1/pom.xml#L163] to get this > issue fixed. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org