[SPARK-28981] Missing library for reading/writing Snappy-compressed files

• Type: Bug
• Status: Resolved
• Priority: Minor
• Resolution: Cannot Reproduce
• Affects Version/s: 2.4.4
• Component/s: Kubernetes, Spark Core
• Assignee: Unassigned
• Reporter: Paul Schweigert
• Created: 05/Sep/19 00:15
• Updated: 17/May/20 18:26
• Resolved: 05/Sep/19 17:45

Description

The current Dockerfile for Spark on Kubernetes is missing the "ld-linux-x86-64.so.2" library needed to read / write Snappy-compressed files. 

 

Sample error message when trying to read a parquet file compressed with snappy:

 

19/09/02 05:33:19 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, 172.30.189.77, executor 2): org.apache.spark.SparkException: Task failed while writing rows.    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:257)    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)    
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)    
    at org.apache.spark.scheduler.Task.run(Task.scala:121)    
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)    
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)    
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)    
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)    
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)    
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.UnsatisfiedLinkError: /tmp/snappy-1.1.7-04145e2f-cc82-4217-99b8-641cdd755a87-libsnappyjava.so: Error loading shared library ld-linux-x86-64.so.2: No such file or directory (needed by /tmp/snappy-1.1.7-04145e2f-cc82-4217-99b8-641cdd755a87-libsnappyjava.so)    
    at java.lang.ClassLoader$NativeLibrary.load(Native Method)    
    at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941)    
    at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1824)    
    at java.lang.Runtime.load0(Runtime.java:809)    
    at java.lang.System.load(System.java:1086)    
    at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:179)    
    at org.xerial.snappy.SnappyLoader.loadSnappyApi(SnappyLoader.java:154)    
    at org.xerial.snappy.Snappy.<clinit>(Snappy.java:47)    
    at org.apache.parquet.hadoop.codec.SnappyCompressor.compress(SnappyCompressor.java:67)    
    at org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)    
    at org.apache.hadoop.io.compress.CompressorStream.finish(CompressorStream.java:92)    
    at org.apache.parquet.hadoop.CodecFactory$HeapBytesCompressor.compress(CodecFactory.java:165)    
    at org.apache.parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.writePage(ColumnChunkPageWriteStore.java:95)    
    at org.apache.parquet.column.impl.ColumnWriterV1.writePage(ColumnWriterV1.java:147)    
    at org.apache.parquet.column.impl.ColumnWriterV1.flush(ColumnWriterV1.java:235)    
    at org.apache.parquet.column.impl.ColumnWriteStoreV1.flush(ColumnWriteStoreV1.java:122)    
    at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:172)    
    at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:114)    
    at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:165)    
    at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetOutputWriter.scala:42)    
    at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.releaseResources(FileFormatDataWriter.scala:57)    
    at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.commit(FileFormatDataWriter.scala:74)    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:247)    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:242)    
    at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)    
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:248)    
    ... 10 more

The relevant library is in the Alpine Linux "gcompat" package (https://pkgs.alpinelinux.org/package/edge/community/x86/gcompat). Adding this library to the Dockerfile enables the reading/writing of Snappy-compressed files.

 

Issue Links

• duplicates: SPARK-26995 Running Spark in Docker image with Alpine Linux 3.9.0 throws errors when using snappy
• links to: GitHub Pull Request #25686