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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/10/05 20:44:00 UTC

[jira] [Created] (SPARK-25655) Add Pspark-ganglia-lgpl to the scala style check

Xiao Li created SPARK-25655:
-------------------------------

             Summary: Add Pspark-ganglia-lgpl to the scala style check
                 Key: SPARK-25655
                 URL: https://issues.apache.org/jira/browse/SPARK-25655
             Project: Spark
          Issue Type: Bug
          Components: Build
    Affects Versions: 3.0.0
            Reporter: Xiao Li
            Assignee: Xiao Li


Our lint failed due to the following errors:
{code}
[INFO] --- scalastyle-maven-plugin:1.0.0:check (default) @ spark-ganglia-lgpl_2.11 ---
error file=/home/jenkins/workspace/spark-master-maven-snapshots/spark/external/spark-ganglia-lgpl/src/main/scala/org/apache/spark/metrics/sink/GangliaSink.scala message=
      Are you sure that you want to use toUpperCase or toLowerCase without the root locale? In most cases, you
      should use toUpperCase(Locale.ROOT) or toLowerCase(Locale.ROOT) instead.
      If you must use toUpperCase or toLowerCase without the root locale, wrap the code block with
      // scalastyle:off caselocale
      .toUpperCase
      .toLowerCase
      // scalastyle:on caselocale
     line=67 column=49
error file=/home/jenkins/workspace/spark-master-maven-snapshots/spark/external/spark-ganglia-lgpl/src/main/scala/org/apache/spark/metrics/sink/GangliaSink.scala message=
      Are you sure that you want to use toUpperCase or toLowerCase without the root locale? In most cases, you
      should use toUpperCase(Locale.ROOT) or toLowerCase(Locale.ROOT) instead.
      If you must use toUpperCase or toLowerCase without the root locale, wrap the code block with
      // scalastyle:off caselocale
      .toUpperCase
      .toLowerCase
      // scalastyle:on caselocale
     line=71 column=32
Saving to outputFile=/home/jenkins/workspace/spark-master-maven-snapshots/spark/external/spark-ganglia-lgpl/target/scalastyle-output.xml
{code}

See https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Compile/job/spark-master-lint/8890/




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