| /* |
| * 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.core._ |
| import com.typesafe.tools.mima.core.ProblemFilters._ |
| |
| /** |
| * Additional excludes for checking of Spark's binary compatibility. |
| * |
| * This acts as an official audit of cases where we excluded other classes. Please use the narrowest |
| * possible exclude here. MIMA will usually tell you what exclude to use, e.g.: |
| * |
| * ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.take") |
| * |
| * It is also possible to exclude Spark classes and packages. This should be used sparingly: |
| * |
| * MimaBuild.excludeSparkClass("graphx.util.collection.GraphXPrimitiveKeyOpenHashMap") |
| * |
| * For a new Spark version, please update MimaBuild.scala to reflect the previous version. |
| */ |
| object MimaExcludes { |
| |
| // Exclude rules for 3.2.x |
| lazy val v32excludes = v31excludes ++ Seq( |
| // [SPARK-33808][SQL] DataSource V2: Build logical writes in the optimizer |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.connector.write.V1WriteBuilder"), |
| |
| // [SPARK-33955] Add latest offsets to source progress |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SourceProgress.this"), |
| |
| // [SPARK-34862][SQL] Support nested column in ORC vectorized reader |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getBoolean"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getByte"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getShort"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getInt"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getLong"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getFloat"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getDouble"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getDecimal"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getUTF8String"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getBinary"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getArray"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getMap"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getChild") |
| ) |
| |
| // Exclude rules for 3.1.x |
| lazy val v31excludes = v30excludes ++ Seq( |
| // mima plugin update caused new incompatibilities to be detected |
| // core module |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.shuffle.sort.io.LocalDiskShuffleMapOutputWriter.commitAllPartitions"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.environmentDetails"), |
| // mllib module |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.totalIterations"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.$init$"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.labels"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.truePositiveRateByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.falsePositiveRateByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.precisionByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.recallByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.accuracy"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedTruePositiveRate"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFalsePositiveRate"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedRecall"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedPrecision"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.roc"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.areaUnderROC"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.pr"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.fMeasureByThreshold"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.precisionByThreshold"), |
| ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.recallByThreshold"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.FMClassifier.trainImpl"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.FMRegressor.trainImpl"), |
| // [SPARK-31077] Remove ChiSqSelector dependency on mllib.ChiSqSelectorModel |
| // private constructor |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel.this"), |
| |
| // [SPARK-31127] Implement abstract Selector |
| // org.apache.spark.ml.feature.ChiSqSelectorModel type hierarchy change |
| // before: class ChiSqSelector extends Estimator with ChiSqSelectorParams |
| // after: class ChiSqSelector extends PSelector |
| // false positive, no binary incompatibility |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.ChiSqSelector"), |
| |
| // [SPARK-24634] Add a new metric regarding number of inputs later than watermark plus allowed delay |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StateOperatorProgress.<init>$default$4"), |
| |
| //[SPARK-31893] Add a generic ClassificationSummary trait |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.weightCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.weightCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.weightCol"), |
| |
| // [SPARK-32879] Pass SparkSession.Builder options explicitly to SparkSession |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SparkSession.this") |
| ) |
| |
| // Exclude rules for 3.0.x |
| lazy val v30excludes = v24excludes ++ Seq( |
| // [SPARK-23429][CORE] Add executor memory metrics to heartbeat and expose in executors REST API |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.this"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate$"), |
| |
| // [SPARK-29306] Add support for Stage level scheduling for executors |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productElement"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productArity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.canEqual"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productIterator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productPrefix"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.toString"), |
| |
| // [SPARK-29399][core] Remove old ExecutorPlugin interface. |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ExecutorPlugin"), |
| |
| // [SPARK-28980][SQL][CORE][MLLIB] Remove more old deprecated items in Spark 3 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.clustering.KMeans.train"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.classification.LogisticRegressionWithSGD$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.LogisticRegressionWithSGD.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.ChiSqSelectorModel.isSorted"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.RidgeRegressionWithSGD$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.RidgeRegressionWithSGD.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LassoWithSGD.this"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LassoWithSGD$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LinearRegressionWithSGD$"), |
| |
| // [SPARK-28486][CORE][PYTHON] Map PythonBroadcast's data file to a BroadcastBlock to avoid delete by GC |
| ProblemFilters.exclude[InaccessibleMethodProblem]("java.lang.Object.finalize"), |
| |
| // [SPARK-27366][CORE] Support GPU Resources in Spark job scheduling |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.resources"), |
| |
| // [SPARK-29417][CORE] Resource Scheduling - add TaskContext.resource java api |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.resourcesJMap"), |
| |
| // [SPARK-27410][MLLIB] Remove deprecated / no-op mllib.KMeans getRuns, setRuns |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.getRuns"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.setRuns"), |
| |
| // [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.UnaryTransformer.this"), |
| |
| // [SPARK-27090][CORE] Removing old LEGACY_DRIVER_IDENTIFIER ("<driver>") |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.LEGACY_DRIVER_IDENTIFIER"), |
| |
| // [SPARK-25838] Remove formatVersion from Saveable |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.DistributedLDAModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.LocalLDAModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeansModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.PowerIterationClusteringModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.GaussianMixtureModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.recommendation.MatrixFactorizationModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.ChiSqSelectorModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.Word2VecModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.SVMModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.LogisticRegressionModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.NaiveBayesModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.util.Saveable.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.FPGrowthModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.PrefixSpanModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.IsotonicRegressionModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.RidgeRegressionModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LassoModel.formatVersion"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LinearRegressionModel.formatVersion"), |
| |
| // [SPARK-26132] Remove support for Scala 2.11 in Spark 3.0.0 |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("scala.concurrent.Future.transformWith"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("scala.concurrent.Future.transform"), |
| |
| // [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.deploy.security.HiveDelegationTokenProvider"), |
| |
| // [SPARK-26329][CORE] Faster polling of executor memory metrics. |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.apply"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.copy$default$6"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.this"), |
| |
| // [SPARK-26311][CORE]New feature: apply custom log URL pattern for executor log URLs |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.this"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart$"), |
| |
| // [SPARK-27630][CORE] Properly handle task end events from completed stages |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.this"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted$"), |
| |
| // [SPARK-26632][Core] Separate Thread Configurations of Driver and Executor |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.SparkTransportConf.fromSparkConf"), |
| |
| // [SPARK-16872][ML][PYSPARK] Impl Gaussian Naive Bayes Classifier |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.NaiveBayesModel.this"), |
| |
| // [SPARK-25765][ML] Add training cost to BisectingKMeans summary |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel.this"), |
| |
| // [SPARK-24243][CORE] Expose exceptions from InProcessAppHandle |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.launcher.SparkAppHandle.getError"), |
| |
| // [SPARK-25867] Remove KMeans computeCost |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.KMeansModel.computeCost"), |
| |
| // [SPARK-26127] Remove deprecated setters from tree regression and classification models |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setSubsamplingRate"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxIter"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setStepSize"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setFeatureSubsetStrategy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setSubsamplingRate"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setFeatureSubsetStrategy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setNumTrees"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setSubsamplingRate"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxIter"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setStepSize"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setFeatureSubsetStrategy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setSeed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMinInfoGain"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setSubsamplingRate"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setCacheNodeIds"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setCheckpointInterval"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxDepth"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setImpurity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxMemoryInMB"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setFeatureSubsetStrategy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxBins"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMinInstancesPerNode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setNumTrees"), |
| |
| // [SPARK-26090] Resolve most miscellaneous deprecation and build warnings for Spark 3 |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.stat.test.BinarySampleBeanInfo"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LabeledPointBeanInfo"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.LabeledPointBeanInfo"), |
| |
| // [SPARK-28780][ML] Delete the incorrect setWeightCol method in LinearSVCModel |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LinearSVCModel.setWeightCol"), |
| |
| // [SPARK-29645][ML][PYSPARK] ML add param RelativeError |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.relativeError"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.getRelativeError"), |
| |
| // [SPARK-28968][ML] Add HasNumFeatures in the scala side |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.FeatureHasher.getNumFeatures"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.FeatureHasher.numFeatures"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.HashingTF.getNumFeatures"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.HashingTF.numFeatures"), |
| |
| // [SPARK-25908][CORE][SQL] Remove old deprecated items in Spark 3 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.BarrierTaskContext.isRunningLocally"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskContext.isRunningLocally"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleBytesWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleWriteTime"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleRecordsWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.AccumulableInfo.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.fMeasure"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.recall"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.precision"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.MLWriter.context"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.MLReader.context"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.GeneralMLWriter.context"), |
| |
| // [SPARK-25737] Remove JavaSparkContextVarargsWorkaround |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.api.java.JavaSparkContext"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.union"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.union"), |
| |
| // [SPARK-16775] Remove deprecated accumulator v1 APIs |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulable"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulator"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulator$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulableParam"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$FloatAccumulatorParam$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$DoubleAccumulatorParam$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$LongAccumulatorParam$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$IntAccumulatorParam$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulable"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulableCollection"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulator"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.LegacyAccumulatorWrapper"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.intAccumulator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.accumulable"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.doubleAccumulator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.accumulator"), |
| |
| // [SPARK-24109] Remove class SnappyOutputStreamWrapper |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.io.SnappyCompressionCodec.version"), |
| |
| // [SPARK-19287] JavaPairRDD flatMapValues requires function returning Iterable, not Iterator |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.api.java.JavaPairRDD.flatMapValues"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.streaming.api.java.JavaPairDStream.flatMapValues"), |
| |
| // [SPARK-25680] SQL execution listener shouldn't happen on execution thread |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.util.ExecutionListenerManager.clone"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.util.ExecutionListenerManager.this"), |
| |
| // [SPARK-25862][SQL] Remove rangeBetween APIs introduced in SPARK-21608 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.unboundedFollowing"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.unboundedPreceding"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.currentRow"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.expressions.Window.rangeBetween"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.expressions.WindowSpec.rangeBetween"), |
| |
| // [SPARK-23781][CORE] Merge token renewer functionality into HadoopDelegationTokenManager |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.nextCredentialRenewalTime"), |
| |
| // [SPARK-26133][ML] Remove deprecated OneHotEncoder and rename OneHotEncoderEstimator to OneHotEncoder |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.OneHotEncoderEstimator"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.OneHotEncoder"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.OneHotEncoder.transform"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.OneHotEncoderEstimator$"), |
| |
| // [SPARK-30329][ML] add iterator/foreach methods for Vectors |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Vector.activeIterator"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.activeIterator"), |
| |
| // [SPARK-26141] Enable custom metrics implementation in shuffle write |
| // Following are Java private classes |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.UnsafeShuffleWriter.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.TimeTrackingOutputStream.this"), |
| |
| // [SPARK-26139] Implement shuffle write metrics in SQL |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ShuffleDependency.this"), |
| |
| // [SPARK-26362][CORE] Remove 'spark.driver.allowMultipleContexts' to disallow multiple creation of SparkContexts |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.setActiveContext"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.markPartiallyConstructed"), |
| |
| // [SPARK-26457] Show hadoop configurations in HistoryServer environment tab |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ApplicationEnvironmentInfo.this"), |
| |
| // [SPARK-30144][ML] Make MultilayerPerceptronClassificationModel extend MultilayerPerceptronParams |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.layers"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.this"), |
| |
| // [SPARK-30630][ML] Remove numTrees in GBT |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.numTrees"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.numTrees"), |
| |
| // Data Source V2 API changes |
| (problem: Problem) => problem match { |
| case MissingClassProblem(cls) => |
| !cls.fullName.startsWith("org.apache.spark.sql.sources.v2") |
| case _ => true |
| }, |
| |
| // [SPARK-27521][SQL] Move data source v2 to catalyst module |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarBatch"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ArrowColumnVector"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarRow"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarArray"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarMap"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnVector"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThanOrEqual"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringEndsWith"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThanOrEqual$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.In$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Not"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNotNull"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThan"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThanOrEqual"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualNullSafe$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThan$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.In"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.And"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringStartsWith$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualNullSafe"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringEndsWith$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThanOrEqual$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Not$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNull$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThan$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNotNull$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Or"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualTo$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThan"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringContains"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Filter"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNull"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualTo"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.And$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Or$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringStartsWith"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringContains$"), |
| |
| // [SPARK-26216][SQL] Do not use case class as public API (UserDefinedFunction) |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.expressions.UserDefinedFunction$"), |
| ProblemFilters.exclude[AbstractClassProblem]("org.apache.spark.sql.expressions.UserDefinedFunction"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.inputTypes"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullableTypes_="), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.dataType"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.f"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.this"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNonNullable"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNonNullable"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullable"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullable"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNondeterministic"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNondeterministic"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.deterministic"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.deterministic"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.apply"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.apply"), |
| ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.withName"), |
| ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.withName"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productElement"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productArity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$2"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.canEqual"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$1"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productIterator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productPrefix"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$3"), |
| |
| // [SPARK-11215][ML] Add multiple columns support to StringIndexer |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.StringIndexer.validateAndTransformSchema"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.StringIndexerModel.validateAndTransformSchema"), |
| |
| // [SPARK-26616][MLlib] Expose document frequency in IDFModel |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.IDFModel.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.feature.IDF#DocumentFrequencyAggregator.idf"), |
| |
| // [SPARK-28199][SS] Remove deprecated ProcessingTime |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.ProcessingTime"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.ProcessingTime$"), |
| |
| // [SPARK-25382][SQL][PYSPARK] Remove ImageSchema.readImages in 3.0 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.image.ImageSchema.readImages"), |
| |
| // [SPARK-25341][CORE] Support rolling back a shuffle map stage and re-generate the shuffle files |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.shuffle.sort.UnsafeShuffleWriter.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.copy$default$2"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.copy"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.copy$default$2"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.copy"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleBlockId.copy$default$2"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.copy"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.apply"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.apply"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.apply"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.mapId"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.mapId"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleBlockId.mapId"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.mapId"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.FetchFailed$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.apply"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.copy$default$5"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.copy"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.copy$default$3"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.this"), |
| |
| // [SPARK-28957][SQL] Copy any "spark.hive.foo=bar" spark properties into hadoop conf as "hive.foo=bar" |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.appendS3AndSparkHadoopConfigurations"), |
| |
| // [SPARK-29348] Add observable metrics. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryProgress.this"), |
| |
| // [SPARK-30377][ML] Make AFTSurvivalRegression extend Regressor |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.fit"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.setFeaturesCol"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.setPredictionCol"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setFeaturesCol"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setLabelCol"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setPredictionCol"), |
| |
| // [SPARK-29543][SS][UI] Init structured streaming ui |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStartedEvent.this"), |
| |
| // [SPARK-30667][CORE] Add allGather method to BarrierTaskContext |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.RequestToSync") |
| ) |
| |
| // Exclude rules for 2.4.x |
| lazy val v24excludes = v23excludes ++ Seq( |
| // [SPARK-25248] add package private methods to TaskContext |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markTaskFailed"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markInterrupted"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.fetchFailed"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markTaskCompleted"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.getLocalProperties"), |
| |
| // [SPARK-10697][ML] Add lift to Association rules |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.fpm.FPGrowthModel.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.AssociationRules#Rule.this"), |
| |
| // [SPARK-24296][CORE] Replicate large blocks as a stream. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockRpcServer.this"), |
| // [SPARK-23528] Add numIter to ClusteringSummary |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.ClusteringSummary.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.KMeansSummary.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.BisectingKMeansSummary.this"), |
| // [SPARK-6237][NETWORK] Network-layer changes to allow stream upload |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockRpcServer.receive"), |
| |
| // [SPARK-20087][CORE] Attach accumulators / metrics to 'TaskKilled' end reason |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.this"), |
| |
| // [SPARK-22941][core] Do not exit JVM when submit fails with in-process launcher. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.printWarning"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.parseSparkConfProperty"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.printVersionAndExit"), |
| |
| // [SPARK-23412][ML] Add cosine distance measure to BisectingKmeans |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.org$apache$spark$ml$param$shared$HasDistanceMeasure$_setter_$distanceMeasure_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.getDistanceMeasure"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.distanceMeasure"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel#SaveLoadV1_0.load"), |
| |
| // [SPARK-20659] Remove StorageStatus, or make it private |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.totalOffHeapStorageMemory"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.usedOffHeapStorageMemory"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.usedOnHeapStorageMemory"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.totalOnHeapStorageMemory"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.getExecutorStorageStatus"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numBlocks"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numRddBlocks"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.containsBlock"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.rddBlocksById"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numRddBlocksById"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.memUsedByRdd"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.cacheSize"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.rddStorageLevel"), |
| |
| // [SPARK-23455][ML] Default Params in ML should be saved separately in metadata |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.paramMap"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.org$apache$spark$ml$param$Params$_setter_$paramMap_="), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.defaultParamMap"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.org$apache$spark$ml$param$Params$_setter_$defaultParamMap_="), |
| |
| // [SPARK-7132][ML] Add fit with validation set to spark.ml GBT |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"), |
| |
| // [SPARK-23042] Use OneHotEncoderModel to encode labels in MultilayerPerceptronClassifier |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.classification.LabelConverter"), |
| |
| // [SPARK-21842][MESOS] Support Kerberos ticket renewal and creation in Mesos |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getDateOfNextUpdate"), |
| |
| // [SPARK-23366] Improve hot reading path in ReadAheadInputStream |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.io.ReadAheadInputStream.this"), |
| |
| // [SPARK-22941][CORE] Do not exit JVM when submit fails with in-process launcher. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.addJarToClasspath"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.mergeFileLists"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment$default$2"), |
| |
| // Data Source V2 API changes |
| // TODO: they are unstable APIs and should not be tracked by mima. |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.ReadSupportWithSchema"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.createDataReaderFactories"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.createBatchDataReaderFactories"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.planBatchInputPartitions"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanUnsafeRow"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.DataSourceReader.createDataReaderFactories"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.DataSourceReader.planInputPartitions"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.SupportsPushDownCatalystFilters"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.DataReader"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsReportStatistics.getStatistics"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsReportStatistics.estimateStatistics"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.DataReaderFactory"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.streaming.ContinuousDataReader"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.writer.SupportsWriteInternalRow"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.writer.DataWriterFactory.createDataWriter"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.writer.DataWriterFactory.createDataWriter"), |
| |
| // Changes to HasRawPredictionCol. |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.rawPredictionCol"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.org$apache$spark$ml$param$shared$HasRawPredictionCol$_setter_$rawPredictionCol_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.getRawPredictionCol"), |
| |
| // [SPARK-15526][ML][FOLLOWUP] Make JPMML provided scope to avoid including unshaded JARs |
| (problem: Problem) => problem match { |
| case MissingClassProblem(cls) => |
| !cls.fullName.startsWith("org.sparkproject.jpmml") && |
| !cls.fullName.startsWith("org.sparkproject.dmg.pmml") && |
| !cls.fullName.startsWith("org.spark_project.jpmml") && |
| !cls.fullName.startsWith("org.spark_project.dmg.pmml") |
| case _ => true |
| } |
| ) |
| |
| // Exclude rules for 2.3.x |
| lazy val v23excludes = v22excludes ++ Seq( |
| // [SPARK-22897] Expose stageAttemptId in TaskContext |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.stageAttemptNumber"), |
| |
| // SPARK-22789: Map-only continuous processing execution |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$8"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$6"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$9"), |
| |
| // SPARK-22372: Make cluster submission use SparkApplication. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getSecretKeyFromUserCredentials"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.isYarnMode"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getCurrentUserCredentials"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.addSecretKeyToUserCredentials"), |
| |
| // SPARK-18085: Better History Server scalability for many / large applications |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.ExecutorSummary.executorLogs"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.history.HistoryServer.getSparkUI"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.env.EnvironmentListener"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.exec.ExecutorsListener"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.storage.StorageListener"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.StorageStatusListener"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ExecutorStageSummary.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.JobData.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkStatusTracker.this"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.jobs.JobProgressListener"), |
| |
| // [SPARK-20495][SQL] Add StorageLevel to cacheTable API |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.cacheTable"), |
| |
| // [SPARK-19937] Add remote bytes read to disk. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ShuffleReadMetricDistributions.this"), |
| |
| // [SPARK-21276] Update lz4-java to the latest (v1.4.0) |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.io.LZ4BlockInputStream"), |
| |
| // [SPARK-17139] Add model summary for MultinomialLogisticRegression |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary"), |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictionCol"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.labels"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.truePositiveRateByLabel"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.falsePositiveRateByLabel"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.precisionByLabel"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.recallByLabel"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.accuracy"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedTruePositiveRate"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFalsePositiveRate"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedRecall"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedPrecision"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.asBinary"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$LogisticRegressionSummary$$multiclassMetrics"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$LogisticRegressionSummary$_setter_$org$apache$spark$ml$classification$LogisticRegressionSummary$$multiclassMetrics_="), |
| |
| // [SPARK-14280] Support Scala 2.12 |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.FutureAction.transformWith"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.FutureAction.transform"), |
| |
| // [SPARK-21087] CrossValidator, TrainValidationSplit expose sub models after fitting: Scala |
| ProblemFilters.exclude[FinalClassProblem]("org.apache.spark.ml.tuning.CrossValidatorModel$CrossValidatorModelWriter"), |
| ProblemFilters.exclude[FinalClassProblem]("org.apache.spark.ml.tuning.TrainValidationSplitModel$TrainValidationSplitModelWriter"), |
| |
| // [SPARK-21728][CORE] Allow SparkSubmit to use Logging |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.downloadFileList"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.downloadFile"), |
| |
| // [SPARK-21714][CORE][YARN] Avoiding re-uploading remote resources in yarn client mode |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment"), |
| |
| // [SPARK-22324][SQL][PYTHON] Upgrade Arrow to 0.8.0 |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.network.util.AbstractFileRegion.transfered"), |
| |
| // [SPARK-20643][CORE] Add listener implementation to collect app state |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$5"), |
| |
| // [SPARK-20648][CORE] Port JobsTab and StageTab to the new UI backend |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$12"), |
| |
| // [SPARK-21462][SS] Added batchId to StreamingQueryProgress.json |
| // [SPARK-21409][SS] Expose state store memory usage in SQL metrics and progress updates |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StateOperatorProgress.this"), |
| |
| // [SPARK-22278][SS] Expose current event time watermark and current processing time in GroupState |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.GroupState.getCurrentWatermarkMs"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.GroupState.getCurrentProcessingTimeMs"), |
| |
| // [SPARK-20542][ML][SQL] Add an API to Bucketizer that can bin multiple columns |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasOutputCols.org$apache$spark$ml$param$shared$HasOutputCols$_setter_$outputCols_="), |
| |
| // [SPARK-18619][ML] Make QuantileDiscretizer/Bucketizer/StringIndexer/RFormula inherit from HasHandleInvalid |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.Bucketizer.getHandleInvalid"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.StringIndexer.getHandleInvalid"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.getHandleInvalid"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.StringIndexerModel.getHandleInvalid") |
| ) |
| |
| // Exclude rules for 2.2.x |
| lazy val v22excludes = v21excludes ++ Seq( |
| // [SPARK-20355] Add per application spark version on the history server headerpage |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ApplicationAttemptInfo.this"), |
| |
| // [SPARK-19652][UI] Do auth checks for REST API access. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.history.HistoryServer.withSparkUI"), |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.status.api.v1.UIRootFromServletContext"), |
| |
| // [SPARK-18663][SQL] Simplify CountMinSketch aggregate implementation |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.util.sketch.CountMinSketch.toByteArray"), |
| |
| // [SPARK-18949] [SQL] Add repairTable API to Catalog |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.recoverPartitions"), |
| |
| // [SPARK-18537] Add a REST api to spark streaming |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.streaming.scheduler.StreamingListener.onStreamingStarted"), |
| |
| // [SPARK-19148][SQL] do not expose the external table concept in Catalog |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.createTable"), |
| |
| // [SPARK-14272][ML] Add logLikelihood in GaussianMixtureSummary |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.GaussianMixtureSummary.this"), |
| |
| // [SPARK-19267] Fetch Failure handling robust to user error handling |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.setFetchFailed"), |
| |
| // [SPARK-19069] [CORE] Expose task 'status' and 'duration' in spark history server REST API. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$10"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$11"), |
| |
| // [SPARK-17161] Removing Python-friendly constructors not needed |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.OneVsRestModel.this"), |
| |
| // [SPARK-19820] Allow reason to be specified to task kill |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.TaskKilled$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productElement"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productArity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.canEqual"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productIterator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.countTowardsTaskFailures"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productPrefix"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.toErrorString"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.TaskKilled.toString"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.killTaskIfInterrupted"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.getKillReason"), |
| |
| // [SPARK-19876] Add one time trigger, and improve Trigger APIs |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.sql.streaming.Trigger"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.streaming.ProcessingTime"), |
| |
| // [SPARK-17471][ML] Add compressed method to ML matrices |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressed"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressedColMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressedRowMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.isRowMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.isColMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getSparseSizeInBytes"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDense"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparse"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseRowMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseRowMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseColMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getDenseSizeInBytes"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseColMajor"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseMatrix"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseMatrix"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getSizeInBytes"), |
| |
| // [SPARK-18693] Added weightSum to trait MultivariateStatisticalSummary |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.stat.MultivariateStatisticalSummary.weightSum") |
| ) ++ Seq( |
| // [SPARK-17019] Expose on-heap and off-heap memory usage in various places |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.this"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.apply"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.StorageStatus.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.RDDDataDistribution.this") |
| ) |
| |
| // Exclude rules for 2.1.x |
| lazy val v21excludes = v20excludes ++ { |
| Seq( |
| // [SPARK-17671] Spark 2.0 history server summary page is slow even set spark.history.ui.maxApplications |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.deploy.history.HistoryServer.getApplicationList"), |
| // [SPARK-14743] Improve delegation token handling in secure cluster |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getTimeFromNowToRenewal"), |
| // [SPARK-16199][SQL] Add a method to list the referenced columns in data source Filter |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.Filter.references"), |
| // [SPARK-16853][SQL] Fixes encoder error in DataSet typed select |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.Dataset.select"), |
| // [SPARK-16967] Move Mesos to Module |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkMasterRegex.MESOS_REGEX"), |
| // [SPARK-16240] ML persistence backward compatibility for LDA |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.clustering.LDA$"), |
| // [SPARK-17717] Add Find and Exists method to Catalog. |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getDatabase"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getTable"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getFunction"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.databaseExists"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.tableExists"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.functionExists"), |
| |
| // [SPARK-17731][SQL][Streaming] Metrics for structured streaming |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SourceStatus.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.SourceStatus.offsetDesc"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.status"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SinkStatus.this"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryInfo"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStarted.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStarted.queryInfo"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryProgress.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryProgress.queryInfo"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryTerminated.queryInfo"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryStarted"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryProgress"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryTerminated"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryStarted"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryStarted"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryProgress"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryProgress"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryTerminated"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryTerminated"), |
| |
| // [SPARK-18516][SQL] Split state and progress in streaming |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.SourceStatus"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.SinkStatus"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.sinkStatus"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.sourceStatuses"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQuery.id"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.lastProgress"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.recentProgress"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.id"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.get"), |
| |
| // [SPARK-17338][SQL] add global temp view |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.dropGlobalTempView"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.catalog.Catalog.dropTempView"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.dropTempView"), |
| |
| // [SPARK-18034] Upgrade to MiMa 0.1.11 to fix flakiness. |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.aggregationDepth"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.getAggregationDepth"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.org$apache$spark$ml$param$shared$HasAggregationDepth$_setter_$aggregationDepth_="), |
| |
| // [SPARK-18236] Reduce duplicate objects in Spark UI and HistoryServer |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.TaskInfo.accumulables"), |
| |
| // [SPARK-18657] Add StreamingQuery.runId |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.runId"), |
| |
| // [SPARK-18694] Add StreamingQuery.explain and exception to Python and fix StreamingQueryException |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryException$"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.startOffset"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.endOffset"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryException.query") |
| ) |
| } |
| |
| // Exclude rules for 2.0.x |
| lazy val v20excludes = { |
| Seq( |
| ProblemFilters.exclude[Problem]("org.apache.spark.rpc.*"), |
| ProblemFilters.exclude[Problem]("org.spark-project.jetty.*"), |
| ProblemFilters.exclude[Problem]("org.spark_project.jetty.*"), |
| ProblemFilters.exclude[Problem]("org.sparkproject.jetty.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.internal.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.unused.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.unsafe.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.memory.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.util.collection.unsafe.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.sql.catalyst.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.sql.execution.*"), |
| ProblemFilters.exclude[Problem]("org.apache.spark.sql.internal.*"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.feature.PCAModel.this"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.StageData.this"), |
| ProblemFilters.exclude[MissingMethodProblem]( |
| "org.apache.spark.status.api.v1.ApplicationAttemptInfo.this"), |
| ProblemFilters.exclude[MissingMethodProblem]( |
| "org.apache.spark.status.api.v1.ApplicationAttemptInfo.<init>$default$5"), |
| // SPARK-14042 Add custom coalescer support |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.rdd.RDD.coalesce"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.rdd.PartitionCoalescer$LocationIterator"), |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.rdd.PartitionCoalescer"), |
| // SPARK-15532 Remove isRootContext flag from SQLContext. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLContext.isRootContext"), |
| // SPARK-12600 Remove SQL deprecated methods |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLContext$QueryExecution"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLContext$SparkPlanner"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.applySchema"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.parquetFile"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.jdbc"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.jsonFile"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.jsonRDD"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.load"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.dialectClassName"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.getSQLDialect"), |
| // SPARK-13664 Replace HadoopFsRelation with FileFormat |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.source.libsvm.LibSVMRelation"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.HadoopFsRelationProvider"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.HadoopFsRelation$FileStatusCache"), |
| // SPARK-15543 Rename DefaultSources to make them more self-describing |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.source.libsvm.DefaultSource") |
| ) ++ Seq( |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.SparkContext.emptyRDD"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.broadcast.HttpBroadcastFactory"), |
| // SPARK-14358 SparkListener from trait to abstract class |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.SparkContext.addSparkListener"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.JavaSparkListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.SparkFirehoseListener"), |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.scheduler.SparkListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ui.jobs.JobProgressListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ui.exec.ExecutorsListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ui.env.EnvironmentListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ui.storage.StorageListener"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.storage.StorageStatusListener") |
| ) ++ |
| Seq( |
| // SPARK-3369 Fix Iterable/Iterator in Java API |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.FlatMapFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.FlatMapFunction.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.DoubleFlatMapFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.DoubleFlatMapFunction.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.FlatMapFunction2.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.FlatMapFunction2.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.PairFlatMapFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.PairFlatMapFunction.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.CoGroupFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.CoGroupFunction.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.MapPartitionsFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.MapPartitionsFunction.call"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.function.FlatMapGroupsFunction.call"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.function.FlatMapGroupsFunction.call") |
| ) ++ |
| Seq( |
| // [SPARK-6429] Implement hashCode and equals together |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.Partition.org$apache$spark$Partition$$super=uals") |
| ) ++ |
| Seq( |
| // SPARK-4819 replace Guava Optional |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.JavaSparkContext.getCheckpointDir"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.api.java.JavaSparkContext.getSparkHome"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.getCheckpointFile"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.partitioner"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.getCheckpointFile"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.partitioner") |
| ) ++ |
| Seq( |
| // SPARK-12481 Remove Hadoop 1.x |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.mapred.SparkHadoopMapRedUtil"), |
| // SPARK-12615 Remove deprecated APIs in core |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.<init>$default$6"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.numericRDDToDoubleRDDFunctions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.intToIntWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.intWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.writableWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.rddToPairRDDFunctions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.rddToAsyncRDDActions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.boolToBoolWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.longToLongWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.doubleWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.rddToOrderedRDDFunctions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.floatWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.booleanWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.stringToText"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.doubleRDDToDoubleRDDFunctions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.doubleToDoubleWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.bytesWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.rddToSequenceFileRDDFunctions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.bytesToBytesWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.longWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.stringWritableConverter"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.floatToFloatWritable"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.rddToPairRDDFunctions$default$4"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.addOnCompleteCallback"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.runningLocally"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.attemptId"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.defaultMinSplits"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.SparkContext.runJob"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.runJob"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.tachyonFolderName"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.initLocalProperties"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.clearJars"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.clearFiles"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.SparkContext.this"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.flatMapWith$default$2"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.toArray"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.mapWith$default$2"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.mapPartitionsWithSplit"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.flatMapWith"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.filterWith"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.foreachWith"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.mapWith"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.mapPartitionsWithSplit$default$2"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.SequenceFileRDDFunctions.this"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.splits"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.toArray"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.defaultMinSplits"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.clearJars"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.clearFiles"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.externalBlockStoreFolderName"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.ExternalBlockStore$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.ExternalBlockManager"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.ExternalBlockStore") |
| ) ++ Seq( |
| // SPARK-12149 Added new fields to ExecutorSummary |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.ExecutorSummary.this") |
| ) ++ |
| // SPARK-12665 Remove deprecated and unused classes |
| Seq( |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.graphx.GraphKryoRegistrator"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.Vector"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.Vector$Multiplier"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.Vector$") |
| ) ++ Seq( |
| // SPARK-12591 Register OpenHashMapBasedStateMap for Kryo |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.serializer.KryoInputDataInputBridge"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.serializer.KryoOutputDataOutputBridge") |
| ) ++ Seq( |
| // SPARK-12510 Refactor ActorReceiver to support Java |
| ProblemFilters.exclude[AbstractClassProblem]("org.apache.spark.streaming.receiver.ActorReceiver") |
| ) ++ Seq( |
| // SPARK-12895 Implement TaskMetrics using accumulators |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.internalMetricsToAccumulators"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.collectInternalAccumulators"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.collectAccumulators") |
| ) ++ Seq( |
| // SPARK-12896 Send only accumulator updates to driver, not TaskMetrics |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.Accumulable.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.Accumulator.this"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.Accumulator.initialValue") |
| ) ++ Seq( |
| // SPARK-12692 Scala style: Fix the style violation (Space before "," or ":") |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.SparkSink.org$apache$spark$streaming$flume$sink$Logging$$log_"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.SparkSink.org$apache$spark$streaming$flume$sink$Logging$$log__="), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.SparkAvroCallbackHandler.org$apache$spark$streaming$flume$sink$Logging$$log_"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.SparkAvroCallbackHandler.org$apache$spark$streaming$flume$sink$Logging$$log__="), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.Logging.org$apache$spark$streaming$flume$sink$Logging$$log__="), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.Logging.org$apache$spark$streaming$flume$sink$Logging$$log_"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.Logging.org$apache$spark$streaming$flume$sink$Logging$$_log"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.Logging.org$apache$spark$streaming$flume$sink$Logging$$_log_="), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.TransactionProcessor.org$apache$spark$streaming$flume$sink$Logging$$log_"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.flume.sink.TransactionProcessor.org$apache$spark$streaming$flume$sink$Logging$$log__=") |
| ) ++ Seq( |
| // SPARK-12689 Migrate DDL parsing to the newly absorbed parser |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.execution.datasources.DDLParser"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.execution.datasources.DDLException"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.ddlParser") |
| ) ++ Seq( |
| // SPARK-7799 Add "streaming-akka" project |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.zeromq.ZeroMQUtils.createStream"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.streaming.zeromq.ZeroMQUtils.createStream"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.streaming.zeromq.ZeroMQUtils.createStream$default$6"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.zeromq.ZeroMQUtils.createStream$default$5"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.actorStream$default$4"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.actorStream$default$3"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.actorStream"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.actorStream"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.streaming.zeromq.ZeroMQReceiver"), |
| 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"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.networkStream"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.api.java.JavaStreamingContextFactory"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.awaitTermination"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.sc"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaDStreamLike.reduceByWindow"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaDStreamLike.foreachRDD"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.api.java.JavaDStreamLike.foreach"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate") |
| ) ++ Seq( |
| // SPARK-12847 Remove StreamingListenerBus and post all Streaming events to the same thread as Spark events |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.AsynchronousListenerBus$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.AsynchronousListenerBus") |
| ) ++ Seq( |
| // SPARK-11622 Make LibSVMRelation extends HadoopFsRelation and Add LibSVMOutputWriter |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.source.libsvm.DefaultSource"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.source.libsvm.DefaultSource.createRelation") |
| ) ++ Seq( |
| // SPARK-6363 Make Scala 2.11 the default Scala version |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.cleanup"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.metadataCleaner"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnDriverEndpoint"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint") |
| ) ++ Seq( |
| // SPARK-7889 |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.deploy.history.HistoryServer.org$apache$spark$deploy$history$HistoryServer$@tachSparkUI"), |
| // SPARK-13296 |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.UDFRegistration.register"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.UserDefinedPythonFunction$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.UserDefinedPythonFunction"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.UserDefinedFunction"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.UserDefinedFunction$") |
| ) ++ Seq( |
| // SPARK-12995 Remove deprecated APIs in graphx |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.lib.SVDPlusPlus.runSVDPlusPlus"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.mapReduceTriplets"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.mapReduceTriplets$default$3"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.impl.GraphImpl.mapReduceTriplets") |
| ) ++ Seq( |
| // SPARK-13426 Remove the support of SIMR |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkMasterRegex.SIMR_REGEX") |
| ) ++ Seq( |
| // SPARK-13413 Remove SparkContext.metricsSystem/schedulerBackend_ setter |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.metricsSystem"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.schedulerBackend_=") |
| ) ++ Seq( |
| // SPARK-13220 Deprecate yarn-client and yarn-cluster mode |
| ProblemFilters.exclude[MissingMethodProblem]( |
| "org.apache.spark.SparkContext.org$apache$spark$SparkContext$$createTaskScheduler") |
| ) ++ Seq( |
| // SPARK-13465 TaskContext. |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.TaskContext.addTaskFailureListener") |
| ) ++ Seq ( |
| // SPARK-7729 Executor which has been killed should also be displayed on Executor Tab |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.ExecutorSummary.this") |
| ) ++ Seq( |
| // SPARK-13526 Move SQLContext per-session states to new class |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.sql.UDFRegistration.this") |
| ) ++ Seq( |
| // [SPARK-13486][SQL] Move SQLConf into an internal package |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLConf"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLConf$SQLConfEntry"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLConf$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLConf$SQLConfEntry$") |
| ) ++ Seq( |
| //SPARK-11011 UserDefinedType serialization should be strongly typed |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.linalg.VectorUDT.serialize"), |
| // SPARK-12073: backpressure rate controller consumes events preferentially from lagging partitions |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.kafka.KafkaTestUtils.createTopic"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.kafka.DirectKafkaInputDStream.maxMessagesPerPartition") |
| ) ++ Seq( |
| // [SPARK-13244][SQL] Migrates DataFrame to Dataset |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.tables"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.sql"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.baseRelationToDataFrame"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.table"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrame.apply"), |
| |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.DataFrame"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.DataFrame$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.LegacyFunctions"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.DataFrameHolder"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.DataFrameHolder$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLImplicits.localSeqToDataFrameHolder"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLImplicits.stringRddToDataFrameHolder"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLImplicits.rddToDataFrameHolder"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLImplicits.longRddToDataFrameHolder"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLImplicits.intRddToDataFrameHolder"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.GroupedDataset"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.Dataset.subtract"), |
| |
| // [SPARK-14451][SQL] Move encoder definition into Aggregator interface |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.Aggregator.toColumn"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.expressions.Aggregator.bufferEncoder"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.expressions.Aggregator.outputEncoder"), |
| |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.evaluation.MultilabelMetrics.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictions"), |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictions") |
| ) ++ Seq( |
| // [SPARK-13686][MLLIB][STREAMING] Add a constructor parameter `reqParam` to (Streaming)LinearRegressionWithSGD |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.regression.LinearRegressionWithSGD.this") |
| ) ++ Seq( |
| // SPARK-15250 Remove deprecated json API in DataFrameReader |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.DataFrameReader.json") |
| ) ++ Seq( |
| // SPARK-13920: MIMA checks should apply to @Experimental and @DeveloperAPI APIs |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.Aggregator.combineCombinersByKey"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.Aggregator.combineValuesByKey"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ComplexFutureAction.run"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ComplexFutureAction.runJob"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ComplexFutureAction.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.actorSystem"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.cacheManager"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getConfigurationFromJobContext"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getTaskAttemptIDFromTaskAttemptContext"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.newConfiguration"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.bytesReadCallback"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.bytesReadCallback_="), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.canEqual"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.productArity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.productElement"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.productIterator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.productPrefix"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.setBytesReadCallback"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.updateBytesRead"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.canEqual"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.productArity"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.productElement"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.productIterator"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.productPrefix"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleReadMetrics.decFetchWaitTime"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleReadMetrics.decLocalBlocksFetched"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleReadMetrics.decRecordsRead"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleReadMetrics.decRemoteBlocksFetched"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleReadMetrics.decRemoteBytesRead"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.decShuffleBytesWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.decShuffleRecordsWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.decShuffleWriteTime"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.incShuffleBytesWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.incShuffleRecordsWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.incShuffleWriteTime"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.setShuffleRecordsWritten"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.PCAModel.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.StreamingLinearRegressionWithSGD.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.rdd.RDD.mapPartitionsWithContext"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.AccumulableInfo.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.taskMetrics"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.TaskInfo.attempt"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.ExperimentalMethods.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.callUDF"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.callUdf"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.cumeDist"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.denseRank"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.inputFileName"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.isNaN"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.percentRank"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.rowNumber"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.sparkPartitionId"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockStatus.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockStatus.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockStatus.externalBlockStoreSize"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockStatus.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.offHeapUsed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.offHeapUsedByRdd"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatusListener.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.streaming.scheduler.BatchInfo.streamIdToNumRecords"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.storageStatusList"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.storage.StorageListener.storageStatusList"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ExceptionFailure.apply"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ExceptionFailure.copy"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ExceptionFailure.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.executor.InputMetrics.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.executor.OutputMetrics.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Estimator.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Pipeline.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.PipelineModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.PredictionModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.PredictionModel.transformImpl"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Predictor.extractLabeledPoints"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Predictor.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Predictor.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Transformer.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.ClassificationModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.GBTClassifier.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassifier.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.NaiveBayes.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.OneVsRest.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.OneVsRestModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.RandomForestClassifier.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.KMeans.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.KMeansModel.computeCost"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.KMeansModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.LDAModel.logLikelihood"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.LDAModel.logPerplexity"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.clustering.LDAModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.evaluate"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.evaluation.Evaluator.evaluate"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator.evaluate"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.evaluation.RegressionEvaluator.evaluate"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Binarizer.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Bucketizer.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.ChiSqSelector.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.CountVectorizer.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.CountVectorizerModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.HashingTF.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.IDF.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.IDFModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.IndexToString.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Interaction.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.MinMaxScaler.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.MinMaxScalerModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.OneHotEncoder.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.PCA.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.PCAModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.RFormula.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.RFormulaModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.SQLTransformer.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StandardScaler.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StandardScalerModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StopWordsRemover.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StringIndexer.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StringIndexerModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.VectorAssembler.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.VectorIndexer.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.VectorIndexerModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.VectorSlicer.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Word2Vec.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Word2VecModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.recommendation.ALS.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.recommendation.ALSModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.recommendation.ALSModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.GBTRegressor.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.IsotonicRegression.extractWeightedLabeledPoints"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.IsotonicRegression.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.IsotonicRegressionModel.extractWeightedLabeledPoints"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.IsotonicRegressionModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.LinearRegression.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.LinearRegressionSummary.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.LinearRegressionTrainingSummary.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.RandomForestRegressor.train"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.tuning.CrossValidator.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.tuning.CrossValidatorModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.tuning.TrainValidationSplit.fit"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.tuning.TrainValidationSplitModel.transform"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.evaluation.RegressionMetrics.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.DataFrameNaFunctions.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.DataFrameStatFunctions.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.DataFrameWriter.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.functions.broadcast"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.functions.callUDF"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.sources.CreatableRelationProvider.createRelation"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.sources.InsertableRelation.insert"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.fMeasureByThreshold"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.pr"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.precisionByThreshold"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.predictions"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.recallByThreshold"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.roc"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.clustering.LDAModel.describeTopics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.Word2VecModel.findSynonyms"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.Word2VecModel.getVectors"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.recommendation.ALSModel.itemFactors"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.recommendation.ALSModel.userFactors"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.LinearRegressionSummary.predictions"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.LinearRegressionSummary.residuals"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.AccumulableInfo.name"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.AccumulableInfo.value"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameNaFunctions.drop"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameNaFunctions.fill"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameNaFunctions.replace"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.jdbc"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.json"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.load"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.orc"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.parquet"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.table"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameReader.text"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameStatFunctions.crosstab"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameStatFunctions.freqItems"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.DataFrameStatFunctions.sampleBy"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.createExternalTable"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.emptyDataFrame"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.range"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.functions.udf"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.scheduler.JobLogger"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.ActorHelper"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.ActorSupervisorStrategy"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.ActorSupervisorStrategy$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.Statistics"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.streaming.receiver.Statistics$"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.executor.InputMetrics"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.executor.InputMetrics$"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.executor.OutputMetrics"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.executor.OutputMetrics$"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.functions$"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.Estimator.fit"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.Predictor.train"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.Transformer.transform"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.evaluation.Evaluator.evaluate"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.scheduler.SparkListener.onOtherEvent"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.CreatableRelationProvider.createRelation"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.InsertableRelation.insert") |
| ) ++ Seq( |
| // [SPARK-13926] Automatically use Kryo serializer when shuffling RDDs with simple types |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ShuffleDependency.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ShuffleDependency.serializer"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.serializer.Serializer$") |
| ) ++ Seq( |
| // 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") |
| ) ++ Seq( |
| // [SPARK-14014] Replace existing analysis.Catalog with SessionCatalog |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLContext.this") |
| ) ++ Seq( |
| // [SPARK-13928] Move org.apache.spark.Logging into org.apache.spark.internal.Logging |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Logging"), |
| (problem: Problem) => problem match { |
| case MissingTypesProblem(_, missing) |
| if missing.map(_.fullName).sameElements(Seq("org.apache.spark.Logging")) => false |
| case _ => true |
| } |
| ) ++ Seq( |
| // [SPARK-13990] Automatically pick serializer when caching RDDs |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockTransferService.uploadBlock") |
| ) ++ Seq( |
| // [SPARK-14089][CORE][MLLIB] Remove methods that has been deprecated since 1.1, 1.2, 1.3, 1.4, and 1.5 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.getThreadLocal"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.rdd.RDDFunctions.treeReduce"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.rdd.RDDFunctions.treeAggregate"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.tree.configuration.Strategy.defaultStategy"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.util.MLUtils.loadLibSVMFile"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.util.MLUtils.loadLibSVMFile"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.util.MLUtils.loadLibSVMFile"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.util.MLUtils.saveLabeledData"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.util.MLUtils.loadLabeledData"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.optimization.LBFGS.setMaxNumIterations"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.setScoreCol") |
| ) ++ Seq( |
| // [SPARK-14205][SQL] remove trait Queryable |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.Dataset") |
| ) ++ Seq( |
| // [SPARK-11262][ML] Unit test for gradient, loss layers, memory management |
| // for multilayer perceptron. |
| // This class is marked as `private`. |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.ann.SoftmaxFunction") |
| ) ++ Seq( |
| // [SPARK-13674][SQL] Add wholestage codegen support to Sample |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.util.random.PoissonSampler.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.util.random.PoissonSampler.this") |
| ) ++ Seq( |
| // [SPARK-13430][ML] moved featureCol from LinearRegressionModelSummary to LinearRegressionSummary |
| ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.regression.LinearRegressionSummary.this") |
| ) ++ Seq( |
| // [SPARK-14437][Core] Use the address that NettyBlockTransferService listens to create BlockManagerId |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockTransferService.this") |
| ) ++ Seq( |
| // [SPARK-13048][ML][MLLIB] keepLastCheckpoint option for LDA EM optimizer |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.DistributedLDAModel.this") |
| ) ++ Seq( |
| // [SPARK-14475] Propagate user-defined context from driver to executors |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.getLocalProperty"), |
| // [SPARK-14617] Remove deprecated APIs in TaskMetrics |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.executor.InputMetrics$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.executor.OutputMetrics$"), |
| // [SPARK-14628] Simplify task metrics by always tracking read/write metrics |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.readMethod"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.writeMethod") |
| ) ++ Seq( |
| // SPARK-14628: Always track input/output/shuffle metrics |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.totalBlocksFetched"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetrics.inputMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetrics.outputMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetrics.shuffleWriteMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetrics.shuffleReadMetrics"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.status.api.v1.TaskMetrics.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.inputMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.outputMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.shuffleWriteMetrics"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.shuffleReadMetrics"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.this") |
| ) ++ Seq( |
| // SPARK-13643: Move functionality from SQLContext to SparkSession |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLContext.getSchema") |
| ) ++ Seq( |
| // [SPARK-14407] Hides HadoopFsRelation related data source API into execution package |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.OutputWriter"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.OutputWriterFactory") |
| ) ++ Seq( |
| // SPARK-14734: Add conversions between mllib and ml Vector, Matrix types |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.asML"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix.asML") |
| ) ++ Seq( |
| // SPARK-14704: Create accumulators in TaskMetrics |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.InputMetrics.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.OutputMetrics.this") |
| ) ++ Seq( |
| // SPARK-14861: Replace internal usages of SQLContext with SparkSession |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.ml.clustering.LocalLDAModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.ml.clustering.DistributedLDAModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.ml.clustering.LDAModel.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]( |
| "org.apache.spark.ml.clustering.LDAModel.sqlContext"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.sql.Dataset.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]( |
| "org.apache.spark.sql.DataFrameReader.this") |
| ) ++ Seq( |
| // SPARK-14542 configurable buffer size for pipe RDD |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.rdd.RDD.pipe"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.pipe") |
| ) ++ Seq( |
| // [SPARK-4452][Core]Shuffle data structures can starve others on the same thread for memory |
| ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.util.collection.Spillable") |
| ) ++ Seq( |
| // [SPARK-14952][Core][ML] Remove methods deprecated in 1.6 |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.input.PortableDataStream.close"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.weights"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.LinearRegressionModel.weights") |
| ) ++ Seq( |
| // [SPARK-10653] [Core] Remove unnecessary things from SparkEnv |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.sparkFilesDir"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.blockTransferService") |
| ) ++ Seq( |
| // SPARK-14654: New accumulator API |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ExceptionFailure$"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ExceptionFailure.apply"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ExceptionFailure.metrics"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ExceptionFailure.copy"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ExceptionFailure.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.executor.ShuffleReadMetrics.remoteBlocksFetched"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.executor.ShuffleReadMetrics.totalBlocksFetched"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.executor.ShuffleReadMetrics.localBlocksFetched"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.remoteBlocksFetched"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.localBlocksFetched") |
| ) ++ Seq( |
| // [SPARK-14615][ML] Use the new ML Vector and Matrix in the ML pipeline based algorithms |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.clustering.LDAModel.getOldDocConcentration"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.clustering.LDAModel.estimatedDocConcentration"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.clustering.LDAModel.topicsMatrix"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.clustering.KMeansModel.clusterCenters"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LabelConverter.decodeLabel"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LabelConverter.encodeLabeledPoint"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.weights"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.predict"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.NaiveBayesModel.predictRaw"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.NaiveBayesModel.raw2probabilityInPlace"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.NaiveBayesModel.theta"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.NaiveBayesModel.pi"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.NaiveBayesModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.probability2prediction"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.predictRaw"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.raw2prediction"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.raw2probabilityInPlace"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.predict"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.coefficients"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.ClassificationModel.raw2prediction"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.ClassificationModel.predictRaw"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.ClassificationModel.predictRaw"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.ElementwiseProduct.getScalingVec"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.ElementwiseProduct.setScalingVec"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.PCAModel.pc"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.MinMaxScalerModel.originalMax"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.MinMaxScalerModel.originalMin"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.MinMaxScalerModel.this"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.Word2VecModel.findSynonyms"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.IDFModel.idf"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.StandardScalerModel.mean"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StandardScalerModel.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.feature.StandardScalerModel.std"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.predict"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.coefficients"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.predictQuantiles"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.this"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.IsotonicRegressionModel.predictions"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.IsotonicRegressionModel.boundaries"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.LinearRegressionModel.predict"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.LinearRegressionModel.coefficients"), |
| ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.regression.LinearRegressionModel.this") |
| ) ++ Seq( |
| // [SPARK-15290] Move annotations, like @Since / @DeveloperApi, into spark-tags |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.package$"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.package"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.Private"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.AlphaComponent"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.Experimental"), |
| ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.annotation.DeveloperApi") |
| ) ++ Seq( |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.asBreeze"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix.asBreeze") |
| ) ++ Seq( |
| // [SPARK-15914] Binary compatibility is broken since consolidation of Dataset and DataFrame |
| // in Spark 2.0. However, source level compatibility is still maintained. |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.load"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jsonRDD"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jsonFile"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jdbc"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.parquetFile"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.applySchema") |
| ) ++ Seq( |
| // SPARK-17096: Improve exception string reported through the StreamingQueryListener |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryTerminated.stackTrace"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryTerminated.this") |
| ) ++ Seq( |
| // SPARK-17406 limit timeline executor events |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorIdToData"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToTasksActive"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToTasksComplete"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToInputRecords"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToShuffleRead"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToTasksFailed"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToShuffleWrite"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToDuration"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToInputBytes"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToLogUrls"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToOutputBytes"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToOutputRecords"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToTotalCores"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToTasksMax"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ui.exec.ExecutorsListener.executorToJvmGCTime") |
| ) ++ Seq( |
| // [SPARK-17163] Unify logistic regression interface. Private constructor has new signature. |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.this") |
| ) ++ Seq( |
| // [SPARK-17498] StringIndexer enhancement for handling unseen labels |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.StringIndexer"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.StringIndexerModel") |
| ) ++ Seq( |
| // [SPARK-17365][Core] Remove/Kill multiple executors together to reduce RPC call time |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.SparkContext") |
| ) ++ Seq( |
| // [SPARK-12221] Add CPU time to metrics |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskMetrics.this"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.this") |
| ) ++ Seq( |
| // [SPARK-18481] ML 2.1 QA: Remove deprecated methods for ML |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.PipelineStage.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.param.JavaParams.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.param.Params.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegression.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassifier.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.numTrees"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel.setLabelCol"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.evaluation.Evaluator.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressor.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.validateParams"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.LinearRegressionSummary.model"), |
| ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.numTrees"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.classification.RandomForestClassifier"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.classification.GBTClassifier"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.classification.GBTClassificationModel"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.regression.RandomForestRegressor"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.regression.GBTRegressor"), |
| ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.regression.GBTRegressionModel"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.getNumTrees"), |
| ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.getNumTrees"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.numTrees"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setFeatureSubsetStrategy"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.numTrees"), |
| ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setFeatureSubsetStrategy") |
| ) ++ Seq( |
| // [SPARK-21680][ML][MLLIB]optimize Vector compress |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.toSparseWithSize"), |
| ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Vector.toSparseWithSize") |
| ) ++ Seq( |
| // [SPARK-3181][ML]Implement huber loss for LinearRegression. |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasLoss.org$apache$spark$ml$param$shared$HasLoss$_setter_$loss_="), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasLoss.getLoss"), |
| ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasLoss.loss") |
| ) |
| } |
| |
| def excludes(version: String) = version match { |
| case v if v.startsWith("3.2") => v32excludes |
| case v if v.startsWith("3.1") => v31excludes |
| case v if v.startsWith("3.0") => v30excludes |
| case v if v.startsWith("2.4") => v24excludes |
| case v if v.startsWith("2.3") => v23excludes |
| case v if v.startsWith("2.2") => v22excludes |
| case v if v.startsWith("2.1") => v21excludes |
| case v if v.startsWith("2.0") => v20excludes |
| case _ => Seq() |
| } |
| } |
