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Posted to issues@spark.apache.org by "Sun Rui (JIRA)" <ji...@apache.org> on 2015/12/16 08:35:46 UTC

[jira] [Created] (SPARK-12360) Support using 64-bit long type in SparkR

Sun Rui created SPARK-12360:
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             Summary: Support using 64-bit long type in SparkR
                 Key: SPARK-12360
                 URL: https://issues.apache.org/jira/browse/SPARK-12360
             Project: Spark
          Issue Type: New Feature
          Components: SparkR
    Affects Versions: 1.5.2
            Reporter: Sun Rui


R has no support for 64-bit integers. While in Scala/Java API, some methods have one or more arguments of long type. Currently we support only passing an integer cast from a numeric to Scala/Java side for parameters of long type of such methods. This may have problem covering large data sets.

Storing a 64-bit integer in a double obviously does not work as some 64-bit integers can not be exactly represented in double format, so x and x+1 can't be distinguished.

There is a bit64 package (https://cran.r-project.org/web/packages/bit64/index.html) in CRAN which supports vectors of 64-bit integers. We can investigate if it can be used for this purpose.
two questions are:
1. Is the license acceptable?
2. This will have SparkR depends on a  non-base third-party package, which may complicate the deployment.



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