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https://issues.apache.org/jira/browse/SPARK-14873?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255221#comment-15255221
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Apache Spark commented on SPARK-14873:
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User 'srowen' has created a pull request for this issue:
https://github.com/apache/spark/pull/12637
> Java sampleByKey methods take ju.Map but with Scala Double values; results in
> type Object
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-14873
> URL: https://issues.apache.org/jira/browse/SPARK-14873
> Project: Spark
> Issue Type: Sub-task
> Components: Java API, Spark Core
> Affects Versions: 1.6.1
> Reporter: Sean Owen
> Assignee: Sean Owen
> Priority: Minor
>
> There's this odd bit of code in {{JavaStratifiedSamplingExample}}:
> {code}
> // specify the exact fraction desired from each key Map<K, Object>
> ImmutableMap<Integer, Object> fractions =
> ImmutableMap.of(1, (Object)0.1, 2, (Object) 0.6, 3, (Object) 0.3);
> // Get an approximate sample from each stratum
> JavaPairRDD<Integer, Character> approxSample = data.sampleByKey(false,
> fractions);
> {code}
> It highlights a problem like that in
> https://issues.apache.org/jira/browse/SPARK-12604 where Scala primitive types
> are used where Java requires an object, and the result is that a signature
> that logically takes Double (objects) takes an Object in the Java API. It's
> an easy, similar fix.
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