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https://issues.apache.org/jira/browse/SPARK-2089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14040067#comment-14040067
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Patrick Wendell commented on SPARK-2089:
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We can definitely keep the SplitInfo class for the Hadoop case, but it would be
good to have a more general mechanism when a SparkContext is created to allow
users to express locality constraints inside of a SparkConf. The SplitInfo
class is very closely tied to hadoop - it consists of 5 required fields and 4
of them are relevant only to hadoop splits.
The proposal was to have a more general, narrow API, such as giving a comma
separated list of hosts (or hosts with weights). Then you could have a
conversion from the current SplitInfo class to this more narrow API.
> With YARN, preferredNodeLocalityData isn't honored
> ---------------------------------------------------
>
> Key: SPARK-2089
> URL: https://issues.apache.org/jira/browse/SPARK-2089
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.0.0
> Reporter: Sandy Ryza
> Assignee: Sandy Ryza
> Priority: Critical
>
> When running in YARN cluster mode, apps can pass preferred locality data when
> constructing a Spark context that will dictate where to request executor
> containers.
> This is currently broken because of a race condition. The Spark-YARN code
> runs the user class and waits for it to start up a SparkContext. During its
> initialization, the SparkContext will create a YarnClusterScheduler, which
> notifies a monitor in the Spark-YARN code that . The Spark-Yarn code then
> immediately fetches the preferredNodeLocationData from the SparkContext and
> uses it to start requesting containers.
> But in the SparkContext constructor that takes the preferredNodeLocationData,
> setting preferredNodeLocationData comes after the rest of the initialization,
> so, if the Spark-YARN code comes around quickly enough after being notified,
> the data that's fetched is the empty unset version. The occurred during all
> of my runs.
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