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https://issues.apache.org/jira/browse/SPARK-10074?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14701332#comment-14701332
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Ted Yu commented on SPARK-10074:
--------------------------------
I performed the following search in Spark codebase:
find . -name '*.scala' -exec grep 'MutablePair.*Double' {} \; -print
There is only one match:
{code}
case class MutablePair[@specialized(Int, Long, Double, Char, Boolean/* , AnyRef
*/) T1,
./core/src/main/scala/org/apache/spark/util/MutablePair.scala
{code}
I think adding Float would provide parity with Double, potentially benefiting
future use.
> Include Float in @specialized annotation
> ----------------------------------------
>
> Key: SPARK-10074
> URL: https://issues.apache.org/jira/browse/SPARK-10074
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Ted Yu
> Priority: Minor
>
> There're several places in Spark codebase where we use @specialized
> annotation covering Long and Double.
> e.g. in OpenHashMap.scala :
> {code}
> class OpenHashMap[K : ClassTag, @specialized(Long, Int, Double) V: ClassTag](
> initialCapacity: Int)
> {code}
> Float should be added to @specialized annotation as well.
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