spark-instrumented-optimizer/project/MimaBuild.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import com.typesafe.tools.mima.plugin.MimaKeys.{binaryIssueFilters, previousArtifact}
import com.typesafe.tools.mima.plugin.MimaPlugin.mimaDefaultSettings
import sbt._

object MimaBuild {

  def ignoredABIProblems(base: File) = {
    import com.typesafe.tools.mima.core._
    import com.typesafe.tools.mima.core.ProblemFilters._

    // Excludes placed here will be used for all Spark versions
    val defaultExcludes = Seq()

    // Read package-private excludes from file
    val excludeFilePath = (base.getAbsolutePath + "/.mima-excludes")
    val excludeFile = file(excludeFilePath) 
    val packagePrivateList: Seq[String] =
      if (!excludeFile.exists()) {
        Seq()
      } else {
        IO.read(excludeFile).split("\n")
      }

    def excludeClass(className: String) = {
      Seq(
        excludePackage(className), 
        ProblemFilters.exclude[MissingClassProblem](className),
        ProblemFilters.exclude[MissingTypesProblem](className),
        excludePackage(className + "$"), 
        ProblemFilters.exclude[MissingClassProblem](className + "$"),
        ProblemFilters.exclude[MissingTypesProblem](className + "$")
      )
    }
    def excludeSparkClass(className: String) = excludeClass("org.apache.spark." + className)

    val packagePrivateExcludes = packagePrivateList.flatMap(excludeClass)

    /* Excludes specific to a given version of Spark. When comparing the given version against
       its immediate predecessor, the excludes listed here will be applied. */
    val versionExcludes =
      SparkBuild.SPARK_VERSION match {
        case v if v.startsWith("1.0") =>
          Seq(
            excludePackage("org.apache.spark.api.java"),
            excludePackage("org.apache.spark.streaming.api.java"),
            excludePackage("org.apache.spark.streaming.scheduler"),
            excludePackage("org.apache.spark.mllib")
          ) ++
          excludeSparkClass("rdd.ClassTags") ++
          excludeSparkClass("util.XORShiftRandom") ++
          excludeSparkClass("mllib.recommendation.MFDataGenerator") ++
          excludeSparkClass("mllib.optimization.SquaredGradient") ++
          excludeSparkClass("mllib.regression.RidgeRegressionWithSGD") ++
          excludeSparkClass("mllib.regression.LassoWithSGD") ++
          excludeSparkClass("mllib.regression.LinearRegressionWithSGD") ++
          excludeSparkClass("streaming.dstream.NetworkReceiver") ++
          excludeSparkClass("streaming.dstream.NetworkReceiver#NetworkReceiverActor") ++
          excludeSparkClass("streaming.dstream.NetworkReceiver#BlockGenerator") ++
          excludeSparkClass("streaming.dstream.NetworkReceiver#BlockGenerator#Block") ++
          excludeSparkClass("streaming.dstream.ReportError") ++
          excludeSparkClass("streaming.dstream.ReportBlock") ++
          excludeSparkClass("streaming.dstream.DStream")
        case _ => Seq()
      }

    defaultExcludes ++ packagePrivateExcludes ++ versionExcludes
  }

  def mimaSettings(sparkHome: File) = mimaDefaultSettings ++ Seq(
    previousArtifact := None,
    binaryIssueFilters ++= ignoredABIProblems(sparkHome)
  )

}