Description
On a brand-new installation of Spark 2.3.0 with a user-provided hadoop-2.8.3, Spark fails to read or write dataframes in parquet format with snappy compression.
This is due to an incompatibility between the snappy-java version that is required by parquet (parquet is provided in Spark jars but snappy isn't) and the version that is available from hadoop-2.8.3.
Steps to reproduce:
- Download and extract hadoop-2.8.3
- Download and extract spark-2.3.0-without-hadoop
- export JAVA_HOME, HADOOP_HOME, SPARK_HOME, PATH
- Following instructions from https://spark.apache.org/docs/latest/hadoop-provided.html, set SPARK_DIST_CLASSPATH=$(hadoop classpath) in spark-env.sh
- Start a spark-shell, enter the following:
import spark.implicits._ val df = List(1, 2, 3, 4).toDF df.write .format("parquet") .option("compression", "snappy") .mode("overwrite") .save("test.parquet")
This fails with the following:
java.lang.UnsatisfiedLinkError: org.xerial.snappy.SnappyNative.maxCompressedLength(I)I at org.xerial.snappy.SnappyNative.maxCompressedLength(Native Method) at org.xerial.snappy.Snappy.maxCompressedLength(Snappy.java:316) at org.apache.parquet.hadoop.codec.SnappyCompressor.compress(SnappyCompressor.java:67) at org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81) at org.apache.hadoop.io.compress.CompressorStream.finish(CompressorStream.java:92) at org.apache.parquet.hadoop.CodecFactory$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:1411) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$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)
Downloading snappy-java-1.1.2.6.jar and placing it in Sparks's jar folder solves the issue.
Attachments
Issue Links
- is caused by
-
SPARK-18646 ExecutorClassLoader for spark-shell does not honor spark.executor.userClassPathFirst
- Resolved