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  1. Spark
  2. SPARK-17838

Strict type checking for arguments with a better messages across APIs.

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.2.0
    • Component/s: SparkR
    • Labels:
      None
    • Target Version/s:

      Description

      It seems there should be more strict type checking for arguments in SparkR APIs. This was discussed in several PRs.

      https://github.com/apache/spark/pull/15239#discussion_r82445435

      Roughly it seems there are three cases as below:

      The first case below was described in https://github.com/apache/spark/pull/15239#discussion_r82445435

      • Check for zero-length variable name

      Some of other cases below were handled in https://github.com/apache/spark/pull/15231#discussion_r80417904

      • Catch the exception from JVM and format it as pretty
      • Check strictly types before calling JVM in SparkR

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            • Assignee:
              hyukjin.kwon Hyukjin Kwon
              Reporter:
              hyukjin.kwon Hyukjin Kwon
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              • Created:
                Updated:
                Resolved: