You are viewing a plain text version of this content. The canonical link for it is here.
Posted to hdfs-dev@hadoop.apache.org by "jifei_yang (JIRA)" <ji...@apache.org> on 2018/04/03 03:25:00 UTC
[jira] [Created] (HDFS-13385) Unknown compression method
jifei_yang created HDFS-13385:
---------------------------------
Summary: Unknown compression method
Key: HDFS-13385
URL: https://issues.apache.org/jira/browse/HDFS-13385
Project: Hadoop HDFS
Issue Type: Improvement
Components: hdfs-client
Affects Versions: 2.6.0
Environment: centos6.8+hadoop-2.6.0+spark-1.6.0
Reporter: jifei_yang
Fix For: 2.6.0
{code:java}
//
java.io.IOException: unknown compression method at org.apache.hadoop.io.compress.zlib.ZlibDecompressor.inflateBytesDirect(Native Method) at org.apache.hadoop.io.compress.zlib.ZlibDecompressor.decompress(ZlibDecompressor.java:228) at org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:91) at org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) at java.io.InputStream.read(InputStream.java:101) at org.apache.hadoop.util.LineReader.fillBuffer(LineReader.java:180) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:248) at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:48) at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:246) at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:208) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:148) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) 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)
{code}
Spark when reading the gz file in the directory (/user/admin/data/), an exception occurred when I read these files using GZIPInputStream in java.io, the display is normal, then do not know how Hadoop judges this GZ file Is it legal?
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-dev-unsubscribe@hadoop.apache.org
For additional commands, e-mail: hdfs-dev-help@hadoop.apache.org