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https://issues.apache.org/jira/browse/HADOOP-3205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Todd Lipcon updated HADOOP-3205:
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Description:
Implementations of FSInputChecker and FSOutputSummer like DFS do not have
access to full user buffer. At any time DFS can access only up to 512 bytes
even though user usually reads with a much larger buffer (often controlled by
io.file.buffer.size). This requires implementations to double buffer data if an
implementation wants to read or write larger chunks of data from underlying
storage.
We could separate changes for FSInputChecker and FSOutputSummer into two
separate jiras.
was:
Implementations of FSInputChecker and FSOutputSummer like DFS do not have
access to full user buffer. At any time DFS can access only up to 512 bytes
even though user usually reads with a much larger buffer (often controlled by
io.file.buffer.size). This requires implementations to double buffer data if an
implementation wants to read or write larger chunks of data from underlying
storage.
We could separate changes for FSInputChecker and FSOutputSummer into two
separate jiras.
Assignee: Todd Lipcon (was: Raghu Angadi)
Summary: Read multiple chunks directly from FSInputChecker subclass
into user buffers (was: FSInputChecker and FSOutputSummer should allow better
access to user buffer)
Renaming ticket to focus on FSInputChecker. Let's do this one step at a time
and open another JIRA for OutputSummer
> Read multiple chunks directly from FSInputChecker subclass into user buffers
> ----------------------------------------------------------------------------
>
> Key: HADOOP-3205
> URL: https://issues.apache.org/jira/browse/HADOOP-3205
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs
> Reporter: Raghu Angadi
> Assignee: Todd Lipcon
> Attachments: hadoop-3205.txt
>
>
> Implementations of FSInputChecker and FSOutputSummer like DFS do not have
> access to full user buffer. At any time DFS can access only up to 512 bytes
> even though user usually reads with a much larger buffer (often controlled by
> io.file.buffer.size). This requires implementations to double buffer data if
> an implementation wants to read or write larger chunks of data from
> underlying storage.
> We could separate changes for FSInputChecker and FSOutputSummer into two
> separate jiras.
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