diff options
Diffstat (limited to 'project/MimaExcludes.scala')
| -rw-r--r-- | project/MimaExcludes.scala | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index 5e8d13b5b8..17ecb5f02a 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -224,6 +224,7 @@ object MimaExcludes { ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.ActorReceiver$Supervisor") ) ++ Seq( // SPARK-12348 Remove deprecated Streaming APIs. + ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.streaming.dstream.DStream.foreach"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.toPairDStreamFunctions"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.toPairDStreamFunctions$default$4"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.awaitTermination"), @@ -540,6 +541,24 @@ object MimaExcludes { // SPARK-13927: add row/column iterator to local matrices ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix.rowIter"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix.colIter") + ) ++ Seq( + // SPARK-13948: MiMa Check should catch if the visibility change to `private` + // TODO(josh): Some of these may be legitimate incompatibilities; we should follow up before the 2.0.0 release + ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.Dataset.toDS"), + ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.OutputWriterFactory.newInstance"), + ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.util.RpcUtils.askTimeout"), + ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.util.RpcUtils.lookupTimeout"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.UnaryTransformer.transform"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.DecisionTreeClassifier.train"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegression.train"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.DecisionTreeRegressor.train"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.Dataset.groupBy"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.Dataset.groupBy"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.Dataset.select"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.Dataset.toDF"), + ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.Logging.initializeLogIfNecessary"), + ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerEvent.logEvent"), + ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.OutputWriterFactory.newInstance") ) case v if v.startsWith("1.6") => Seq( |