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From ScrapCodes <...@git.apache.org>
Subject [GitHub] incubator-spark pull request: Support MiMa for reporting binary co...
Date Wed, 12 Feb 2014 09:03:01 GMT
Github user ScrapCodes commented on the pull request:

    https://github.com/apache/incubator-spark/pull/585#issuecomment-34850248
  
    Well in this commit itself, I have configured it for 0.9.0-incubating (which is not correct,
as we don't intend version compatibility across 1.0.0 and 0.9 ). It generates a whole lot
of errors. Should It be posted here ?
    
    It can be run like this.
    `sbt mima-report-binary-issues`
    
    A sample(first few lines) of errors...
    
    ```
    [info] spark-mllib: found 6 potential binary incompatibilities
    [error]  * object org.apache.spark.mllib.recommendation.MFDataGenerator does not have
a correspondent in new version
    [error]    filter with: ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.recommendation.MFDataGenerator$")
    [error]  * class org.apache.spark.mllib.recommendation.MFDataGenerator does not have a
correspondent in new version
    [error]    filter with: ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.recommendation.MFDataGenerator")
    [error]  * class org.apache.spark.mllib.optimization.SquaredGradient does not have a correspondent
in new version
    [error]    filter with: ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.optimization.SquaredGradient")
    [error]  * method gradient()org.apache.spark.mllib.optimization.SquaredGradient in class
org.apache.spark.mllib.regression.LinearRegressionWithSGD has now a different result type;
was: org.apache.spark.mllib.optimization.SquaredGradient, is now: org.apache.spark.mllib.optimization.LeastSquaresGradient
    [error]    filter with: ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.regression.LinearRegressionWithSGD.gradient")
    [error]  * method gradient()org.apache.spark.mllib.optimization.SquaredGradient in class
org.apache.spark.mllib.regression.RidgeRegressionWithSGD has now a different result type;
was: org.apache.spark.mllib.optimization.SquaredGradient, is now: org.apache.spark.mllib.optimization.LeastSquaresGradient
    [error]    filter with: ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.regression.RidgeRegressionWithSGD.gradient")
    [error]  * method gradient()org.apache.spark.mllib.optimization.SquaredGradient in class
org.apache.spark.mllib.regression.LassoWithSGD has now a different result type; was: org.apache.spark.mllib.optimization.SquaredGradient,
is now: org.apache.spark.mllib.optimization.LeastSquaresGradient
    [error]    filter with: ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.regression.LassoWithSGD.gradient")
    [info] spark-streaming: found 0 potential binary incompatibilities
    ...(elided)
    ```


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