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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/04/23 11:24:12 UTC
[jira] [Created] (SPARK-14873) Java sampleByKey methods take ju.Map
but with Scala Double values; results in type Object
Sean Owen created SPARK-14873:
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Summary: 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: Bug
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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