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https://issues.apache.org/jira/browse/NUTCH-392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12500635
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Andrzej Bialecki commented on NUTCH-392:
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Good point. We can change it to use the following pattern (as Hadoop uses
internally), e.g.:
contentOut = new MapFile.Writer(job, fs, content.toString(), Text.class,
Content.class, SequenceFile.getCompressionType(job), progress);
However, the original patch had some merits, too. Some types of data are not
that compressible in themselves (using RECORD compression), i.e. it takes more
effort to compress/decompress than space savings are worth. In case of
crawl_parse and crawl_fetch it would make sense to enforce BLOCK or NONE
compression type, and disallow the RECORD type.
I know that BLOCK compression gives a better space savings, and incidentally
may increase the writing speed. But I'm not sure what is the performance impact
of using BLOCK compressed MapFile-s when doing random reading - this is the
scenario in LinkDbInlinks, FetchedSegments and similar places. Could you
perhaps test it? The original patch used RECORD compression for MapFile-s,
probably for this reason.
> OutputFormat implementations should pass on Progressable
> --------------------------------------------------------
>
> Key: NUTCH-392
> URL: https://issues.apache.org/jira/browse/NUTCH-392
> Project: Nutch
> Issue Type: New Feature
> Components: fetcher
> Reporter: Doug Cutting
> Assignee: Andrzej Bialecki
> Fix For: 1.0.0
>
> Attachments: NUTCH-392.patch
>
>
> OutputFormat implementations should pass the Progressable they are passed to
> underlying SequenceFile implementations. This will keep reduce tasks from
> timing out when block writes are slow. This issue depends on
> http://issues.apache.org/jira/browse/HADOOP-636.
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