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https://issues.apache.org/jira/browse/CRUNCH-278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Wills updated CRUNCH-278:
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Attachment: CRUNCH-278b.patch
Here's my second cut at this, which reflects our discussion over the past week
or so. This is the full version, which can support processing DoFns in-memory
on the cluster for small data sources in order to save an MR job.
Couple of concerns: the name of the object (ReadableData<T>) isn't the
greatest, and I'd welcome other suggestions. Also, I'm not supporting using a
PGroupedTable with this API right now b/c I think we need to fix how we
serialize grouped data in a different JIRA that will follow this one.
> Improvements to MapsideJoin code
> --------------------------------
>
> Key: CRUNCH-278
> URL: https://issues.apache.org/jira/browse/CRUNCH-278
> Project: Crunch
> Issue Type: Bug
> Components: Core, MapReduce Patterns
> Reporter: Josh Wills
> Assignee: Josh Wills
> Attachments: CRUNCH-278b.patch, CRUNCH-278.patch
>
>
> The fact that we have special-case code in the MapsideJoinStrategy for the
> in-memory and MR-based Pipeline instances has always bugged me, so I set out
> to eliminate the distinction between the two impls by creating a new
> interface, ReadableSourceBundle<T>, that encapsulates the MR and in-memory
> specific logic for doing mapside joins in order to remove the special-case
> code in MapsideJoinStrategy and hopefully make other implementations that use
> our mapside-join patterns much easier to test.
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