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From "Chris Douglas (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-4614) "Too many open files" error while processing a large gzip file
Date Sat, 22 Nov 2008 01:18:44 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-4614?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12649873#action_12649873
] 

Chris Douglas commented on HADOOP-4614:
---------------------------------------

Just a few nits:
* To avoid maintenance hiccups, it would be helpful if the old constructor called the new
one:
{code}
this(conf, fs, file, 0, fs.getFileStatus(file).getLen(), codec, preserve);
{code}
* The position typically precedes the length in argument lists; it would be easier to read
and less likely to confuse if segmentOffset preceded segmentLength in the Segment cstr
* The new comment describes the fix, not the code. It should be omitted
* The indentation for new code in init uses four spaces instead of two

> "Too many open files" error while processing a large gzip file
> --------------------------------------------------------------
>
>                 Key: HADOOP-4614
>                 URL: https://issues.apache.org/jira/browse/HADOOP-4614
>             Project: Hadoop Core
>          Issue Type: Bug
>          Components: mapred
>    Affects Versions: 0.18.2
>            Reporter: Abdul Qadeer
>            Assignee: Yuri Pradkin
>             Fix For: 0.18.3
>
>         Attachments: HADOOP-4614.patch, HADOOP-4614.patch, openfds.txt
>
>
> I am running a simple word count program on a gzip compressed data of size 4 GB (Uncompressed
size is about 7 GB).  I have setup of 17 nodes in my Hadoop cluster.  After some time, I get
the following exception:
> java.io.FileNotFoundException: /usr/local/hadoop/hadoop-hadoop/mapred/local/taskTracker/jobcache/job_200811041109_0003/attempt_200811041109_0003_m_000000_0/output/spill4055.out.index
> (Too many open files)
>        at java.io.FileInputStream.open(Native Method)
>        at java.io.FileInputStream.(FileInputStream.java:137)
>        at org.apache.hadoop.fs.RawLocalFileSystem$TrackingFileInputStream.(RawLocalFileSystem.java:62)
>        at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileInputStream.(RawLocalFileSystem.java:98)
>        at org.apache.hadoop.fs.RawLocalFileSystem.open(RawLocalFileSystem.java:168)
>        at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:359)
>        at org.apache.hadoop.mapred.IndexRecord.readIndexFile(IndexRecord.java:47)
>        at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.getIndexInformation(MapTask.java:1339)
>        at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.mergeParts(MapTask.java:1237)
>        at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:857)
>        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:333)
>        at org.apache.hadoop.mapred.Child.main(Child.java:155)
> From a user's perspective I know that Hadoop will use only one mapper for a gzipped file.
 The above exception suggests that probably Hadoop puts the intermediate data into many files.
 But the question is that "exactly how many open files are required in the worst case for
any data size and cluster size?"  Currently it looks as if Hadoop needs more number of open
files as the size of input or the cluster size (in terms of nodes, mapper, reducers) increases.
 This is not plausible as far as scalability is concerned.  A user needs to write some number
in the /etc/security/limits.conf file that how many open files are allowed by hadoop node.
 The question is what that "magical number" should be?
> So probably the best solution to this problem is to change Hadoop such a way that it
can work with some moderate number of allowed open files (e.g. 4 K) or any other number should
be suggested as an upper limit such that a user is sure that for any data size and cluster
size, hadoop will not run into this "too many open files" issue.

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