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/*
* 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 3.3.x from 3.2.0
lazy val v33excludes = v32excludes ++ Seq(
// [SPARK-35672][CORE][YARN] Pass user classpath entries to executors using config instead of command line
// The followings are necessary for Scala 2.13.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.CoarseGrainedExecutorBackend#Arguments.*"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.executor.CoarseGrainedExecutorBackend#Arguments.*"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.executor.CoarseGrainedExecutorBackend$Arguments$")
)
// Exclude rules for 3.2.x from 3.1.1
lazy val v32excludes = Seq(
// Spark Internals
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.*"),
// [SPARK-34848][CORE] Add duration to TaskMetricDistributions
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskMetricDistributions.this"),
// [SPARK-34488][CORE] Support task Metrics Distributions and executor Metrics Distributions
// in the REST API call for a specified stage
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.StageData.this"),
// [SPARK-36173][CORE] Support getting CPU number in TaskContext
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.cpus"),
// [SPARK-35896] Include more granular metrics for stateful operators in StreamingQueryProgress
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StateOperatorProgress.this"),
(problem: Problem) => problem match {
case MissingClassProblem(cls) => !cls.fullName.startsWith("org.sparkproject.jpmml") &&
!cls.fullName.startsWith("org.sparkproject.dmg.pmml")
case _ => true
},
// [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"),
// [SPARK-35135][CORE] Turn WritablePartitionedIterator from trait into a default implementation class
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.util.collection.WritablePartitionedIterator"),
// [SPARK-35757][CORE] Add bitwise AND operation and functionality for intersecting bloom filters
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.util.sketch.BloomFilter.intersectInPlace"),
// [SPARK-35276][CORE] Calculate checksum for shuffle data and write as checksum file
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.io.LocalDiskShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.io.LocalDiskSingleSpillMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.api.SingleSpillShuffleMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.SingleSpillShuffleMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions")
)
def excludes(version: String) = version match {
case v if v.startsWith("3.3") => v33excludes
case v if v.startsWith("3.2") => v32excludes
case _ => Seq()
}
}