ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/project/MimaExcludes.scala
zhuol e4c1162b6b [SPARK-10873] Support column sort and search for History Server. 
[SPARK-10873] Support column sort and search for History Server using jQuery DataTable and REST API. Before this commit, the history server was generated hard-coded html and can not support search, also, the sorting was disabled if there is any application that has more than one attempt. Supporting search and sort (over all applications rather than the 20 entries in the current page) in any case will greatly improve user experience.

1. Create the historypage-template.html for displaying application information in datables.
2. historypage.js uses jQuery to access the data from /api/v1/applications REST API, and use DataTable to display each application's information. For application that has more than one attempt, the RowsGroup is used to merge such entries while at the same time supporting sort and search.
3. "duration" and "lastUpdated" rest API are added to application's "attempts".
4. External javascirpt and css files for datatables, RowsGroup and jquery plugins are added with licenses clarified.

Snapshots for how it looks like now:

History page view:
![historypage](https://cloud.githubusercontent.com/assets/11683054/12184383/89bad774-b55a-11e5-84e4-b0276172976f.png)

Search:
![search](https://cloud.githubusercontent.com/assets/11683054/12184385/8d3b94b0-b55a-11e5-869a-cc0ef0a4242a.png)

Sort by started time:
![sort-by-started-time](https://cloud.githubusercontent.com/assets/11683054/12184387/8f757c3c-b55a-11e5-98c8-577936366566.png)

Author: zhuol <zhuol@yahoo-inc.com>

Closes #10648 from zhuoliu/10873.
2016-01-29 11:54:58 -06:00

1009 lines
66 KiB
Scala
Raw Blame History

/*
* 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.
*
* The Mima build will automatically exclude @DeveloperApi and @Experimental classes. 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 {
def excludes(version: String) = version match {
case v if v.startsWith("2.0") =>
Seq(
excludePackage("org.apache.spark.rpc"),
excludePackage("org.spark-project.jetty"),
excludePackage("org.apache.spark.unused"),
excludePackage("org.apache.spark.util.collection.unsafe"),
excludePackage("org.apache.spark.sql.catalyst"),
excludePackage("org.apache.spark.sql.execution"),
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$5"),
// SPARK-12600 Remove SQL deprecated methods
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLContext$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")
) ++ Seq(
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.SparkContext.emptyRDD"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.broadcast.HttpBroadcastFactory")
) ++
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-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[IncompatibleMethTypeProblem]("org.apache.spark.Accumulator.this")
) ++ 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-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-12847 Remove StreamingListenerBus and post all Streaming events to the same thread as Spark events
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.AsynchronousListenerBus$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.AsynchronousListenerBus")
) ++ Seq(
// SPARK-11622 Make LibSVMRelation extends HadoopFsRelation and Add LibSVMOutputWriter
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.source.libsvm.DefaultSource"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.source.libsvm.DefaultSource.createRelation")
)
case v if v.startsWith("1.6") =>
Seq(
MimaBuild.excludeSparkPackage("deploy"),
MimaBuild.excludeSparkPackage("network"),
MimaBuild.excludeSparkPackage("unsafe"),
// These are needed if checking against the sbt build, since they are part of
// the maven-generated artifacts in 1.3.
excludePackage("org.spark-project.jetty"),
MimaBuild.excludeSparkPackage("unused"),
// SQL execution is considered private.
excludePackage("org.apache.spark.sql.execution"),
// SQL columnar is considered private.
excludePackage("org.apache.spark.sql.columnar"),
// The shuffle package is considered private.
excludePackage("org.apache.spark.shuffle"),
// The collections utlities are considered pricate.
excludePackage("org.apache.spark.util.collection")
) ++
MimaBuild.excludeSparkClass("streaming.flume.FlumeTestUtils") ++
MimaBuild.excludeSparkClass("streaming.flume.PollingFlumeTestUtils") ++
Seq(
// MiMa does not deal properly with sealed traits
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.classification.LogisticRegressionSummary.featuresCol")
) ++ Seq(
// SPARK-11530
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.feature.PCAModel.this")
) ++ Seq(
// SPARK-10381 Fix types / units in private AskPermissionToCommitOutput RPC message.
// This class is marked as `private` but MiMa still seems to be confused by the change.
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.task"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy$default$2"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.taskAttempt"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy$default$3"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.this"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.apply")
) ++ Seq(
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.shuffle.FileShuffleBlockResolver$ShuffleFileGroup")
) ++ Seq(
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.regression.LeastSquaresAggregator.add"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.regression.LeastSquaresCostFun.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.clearLastInstantiatedContext"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.setLastInstantiatedContext"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.SQLContext$SQLSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.detachSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.tlSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.defaultSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.currentSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.openSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.setSession"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.createSession")
) ++ Seq(
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.SparkContext.preferredNodeLocationData_="),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.rdd.MapPartitionsWithPreparationRDD"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.rdd.MapPartitionsWithPreparationRDD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SparkSQLParser")
) ++ Seq(
// SPARK-11485
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.DataFrameHolder.df"),
// SPARK-11541 mark various JDBC dialects as private
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.productElement"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.productArity"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.canEqual"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.productIterator"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.productPrefix"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.toString"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.NoopDialect.hashCode"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.jdbc.PostgresDialect$"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.productElement"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.productArity"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.canEqual"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.productIterator"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.productPrefix"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.toString"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.jdbc.PostgresDialect.hashCode"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.jdbc.NoopDialect$")
) ++ Seq (
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.status.api.v1.ApplicationInfo.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.status.api.v1.StageData.this")
) ++ Seq(
// SPARK-11766 add toJson to Vector
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.toJson")
) ++ Seq(
// SPARK-9065 Support message handler in Kafka Python API
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper.createDirectStream"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper.createRDD")
) ++ Seq(
// SPARK-4557 Changed foreachRDD to use VoidFunction
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.api.java.JavaDStreamLike.foreachRDD")
) ++ Seq(
// SPARK-11996 Make the executor thread dump work again
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.executor.ExecutorEndpoint"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.executor.ExecutorEndpoint$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.storage.BlockManagerMessages$GetRpcHostPortForExecutor"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.storage.BlockManagerMessages$GetRpcHostPortForExecutor$")
) ++ Seq(
// SPARK-3580 Add getNumPartitions method to JavaRDD
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.getNumPartitions")
) ++ Seq(
// SPARK-12149 Added new fields to ExecutorSummary
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.ExecutorSummary.this")
) ++
// SPARK-11314: YARN backend moved to yarn sub-module and MiMA complains even though it's a
// private class.
MimaBuild.excludeSparkClass("scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint")
case v if v.startsWith("1.5") =>
Seq(
MimaBuild.excludeSparkPackage("network"),
MimaBuild.excludeSparkPackage("deploy"),
// These are needed if checking against the sbt build, since they are part of
// the maven-generated artifacts in 1.3.
excludePackage("org.spark-project.jetty"),
MimaBuild.excludeSparkPackage("unused"),
// JavaRDDLike is not meant to be extended by user programs
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.partitioner"),
// Modification of private static method
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.streaming.kafka.KafkaUtils.org$apache$spark$streaming$kafka$KafkaUtils$$leadersForRanges"),
// Mima false positive (was a private[spark] class)
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.util.collection.PairIterator"),
// Removing a testing method from a private class
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.kafka.KafkaTestUtils.waitUntilLeaderOffset"),
// While private MiMa is still not happy about the changes,
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.regression.LeastSquaresAggregator.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.regression.LeastSquaresCostFun.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.ml.classification.LogisticCostFun.this"),
// SQL execution is considered private.
excludePackage("org.apache.spark.sql.execution"),
// The old JSON RDD is removed in favor of streaming Jackson
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.json.JsonRDD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.json.JsonRDD"),
// local function inside a method
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.org$apache$spark$sql$SQLContext$$needsConversion$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.UDFRegistration.org$apache$spark$sql$UDFRegistration$$builder$24")
) ++ Seq(
// SPARK-8479 Add numNonzeros and numActives to Matrix.
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.numNonzeros"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.numActives")
) ++ Seq(
// SPARK-8914 Remove RDDApi
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.RDDApi")
) ++ Seq(
// SPARK-7292 Provide operator to truncate lineage cheaply
ProblemFilters.exclude[AbstractClassProblem](
"org.apache.spark.rdd.RDDCheckpointData"),
ProblemFilters.exclude[AbstractClassProblem](
"org.apache.spark.rdd.CheckpointRDD")
) ++ Seq(
// SPARK-8701 Add input metadata in the batch page.
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.streaming.scheduler.InputInfo$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.streaming.scheduler.InputInfo")
) ++ Seq(
// SPARK-6797 Support YARN modes for SparkR
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.r.PairwiseRRDD.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.r.RRDD.createRWorker"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.r.RRDD.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.r.StringRRDD.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.r.BaseRRDD.this")
) ++ Seq(
// SPARK-7422 add argmax for sparse vectors
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.argmax")
) ++ Seq(
// SPARK-8906 Move all internal data source classes into execution.datasources
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.ResolvedDataSource"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PreInsertCastAndRename$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTableUsingAsSelect$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.InsertIntoDataSource$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.SqlNewHadoopPartition"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitioningUtils$PartitionValues$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DefaultWriterContainer"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitioningUtils$PartitionValues"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.RefreshTable$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTempTableUsing$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitionSpec"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DynamicPartitionWriterContainer"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTableUsingAsSelect"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.SqlNewHadoopRDD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DescribeCommand$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitioningUtils$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.SqlNewHadoopRDD"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PreInsertCastAndRename"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Partition$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LogicalRelation$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitioningUtils"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LogicalRelation"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Partition"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.BaseWriterContainer"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PreWriteCheck"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTableUsing"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.RefreshTable"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.SqlNewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DataSourceStrategy$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTempTableUsing"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTempTableUsingAsSelect$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTempTableUsingAsSelect"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CreateTableUsing$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.ResolvedDataSource$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PreWriteCheck$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.InsertIntoDataSource"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.InsertIntoHadoopFsRelation"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DDLParser"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.CaseInsensitiveMap"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DataSourceStrategy"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.SqlNewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.PartitionSpec$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DescribeCommand"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.DDLException"),
// SPARK-9763 Minimize exposure of internal SQL classes
excludePackage("org.apache.spark.sql.parquet"),
excludePackage("org.apache.spark.sql.json"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRDD$DecimalConversion$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCPartition"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JdbcUtils$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRDD$DecimalConversion"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCPartitioningInfo$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCPartition$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.package"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRDD$JDBCConversion"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRDD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.package$DriverWrapper"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRDD"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCPartitioningInfo"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JdbcUtils"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.DefaultSource"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRelation$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.package$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.JDBCRelation")
) ++ Seq(
// SPARK-4751 Dynamic allocation for standalone mode
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.SparkContext.supportDynamicAllocation")
) ++ Seq(
// SPARK-9580: Remove SQL test singletons
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.test.LocalSQLContext$SQLSession"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.test.LocalSQLContext"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.test.TestSQLContext"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.test.TestSQLContext$")
) ++ Seq(
// SPARK-9704 Made ProbabilisticClassifier, Identifiable, VectorUDT public APIs
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.mllib.linalg.VectorUDT.serialize")
) ++ Seq(
// SPARK-10381 Fix types / units in private AskPermissionToCommitOutput RPC message.
// This class is marked as `private` but MiMa still seems to be confused by the change.
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.task"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy$default$2"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.taskAttempt"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.copy$default$3"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.this"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.scheduler.AskPermissionToCommitOutput.apply")
)
case v if v.startsWith("1.4") =>
Seq(
MimaBuild.excludeSparkPackage("deploy"),
MimaBuild.excludeSparkPackage("ml"),
// SPARK-7910 Adding a method to get the partioner to JavaRDD,
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.partitioner"),
// SPARK-5922 Adding a generalized diff(other: RDD[(VertexId, VD)]) to VertexRDD
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.VertexRDD.diff"),
// These are needed if checking against the sbt build, since they are part of
// the maven-generated artifacts in 1.3.
excludePackage("org.spark-project.jetty"),
MimaBuild.excludeSparkPackage("unused"),
ProblemFilters.exclude[MissingClassProblem]("com.google.common.base.Optional"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.rdd.JdbcRDD.compute"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.broadcast.HttpBroadcastFactory.newBroadcast"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint")
) ++ Seq(
// SPARK-4655 - Making Stage an Abstract class broke binary compatility even though
// the stage class is defined as private[spark]
ProblemFilters.exclude[AbstractClassProblem]("org.apache.spark.scheduler.Stage")
) ++ Seq(
// SPARK-6510 Add a Graph#minus method acting as Set#difference
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.VertexRDD.minus")
) ++ Seq(
// SPARK-6492 Fix deadlock in SparkContext.stop()
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.SparkContext.org$" +
"apache$spark$SparkContext$$SPARK_CONTEXT_CONSTRUCTOR_LOCK")
)++ Seq(
// SPARK-6693 add tostring with max lines and width for matrix
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.toString")
)++ Seq(
// SPARK-6703 Add getOrCreate method to SparkContext
ProblemFilters.exclude[IncompatibleResultTypeProblem]
("org.apache.spark.SparkContext.org$apache$spark$SparkContext$$activeContext")
)++ Seq(
// SPARK-7090 Introduce LDAOptimizer to LDA to further improve extensibility
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.mllib.clustering.LDA$EMOptimizer")
) ++ Seq(
// SPARK-6756 add toSparse, toDense, numActives, numNonzeros, and compressed to Vector
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.compressed"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.toDense"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.numNonzeros"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.toSparse"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Vector.numActives"),
// SPARK-7681 add SparseVector support for gemv
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.multiply"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.DenseMatrix.multiply"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.SparseMatrix.multiply")
) ++ Seq(
// Execution should never be included as its always internal.
MimaBuild.excludeSparkPackage("sql.execution"),
// This `protected[sql]` method was removed in 1.3.1
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.sql.SQLContext.checkAnalysis"),
// These `private[sql]` class were removed in 1.4.0:
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.execution.AddExchange"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.execution.AddExchange$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.PartitionSpec"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.PartitionSpec$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.Partition"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.Partition$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetRelation2$PartitionValues"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetRelation2$PartitionValues$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetRelation2"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetRelation2$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache"),
// These test support classes were moved out of src/main and into src/test:
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetTestData"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetTestData$"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.TestGroupWriteSupport"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.CachedData"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.CachedData$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.CacheManager"),
// TODO: Remove the following rule once ParquetTest has been moved to src/test.
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.sql.parquet.ParquetTest")
) ++ Seq(
// SPARK-7530 Added StreamingContext.getState()
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.StreamingContext.state_=")
) ++ Seq(
// SPARK-7081 changed ShuffleWriter from a trait to an abstract class and removed some
// unnecessary type bounds in order to fix some compiler warnings that occurred when
// implementing this interface in Java. Note that ShuffleWriter is private[spark].
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.shuffle.ShuffleWriter")
) ++ Seq(
// SPARK-6888 make jdbc driver handling user definable
// This patch renames some classes to API friendly names.
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.DriverQuirks$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.DriverQuirks"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.PostgresQuirks"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.NoQuirks"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.jdbc.MySQLQuirks")
)
case v if v.startsWith("1.3") =>
Seq(
MimaBuild.excludeSparkPackage("deploy"),
MimaBuild.excludeSparkPackage("ml"),
// These are needed if checking against the sbt build, since they are part of
// the maven-generated artifacts in the 1.2 build.
MimaBuild.excludeSparkPackage("unused"),
ProblemFilters.exclude[MissingClassProblem]("com.google.common.base.Optional")
) ++ Seq(
// SPARK-2321
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.SparkStageInfoImpl.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.SparkStageInfo.submissionTime")
) ++ Seq(
// SPARK-4614
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrices.randn"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrices.rand")
) ++ Seq(
// SPARK-5321
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.SparseMatrix.transposeMultiply"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.transpose"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.DenseMatrix.transposeMultiply"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix." +
"org$apache$spark$mllib$linalg$Matrix$_setter_$isTransposed_="),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.isTransposed"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.linalg.Matrix.foreachActive")
) ++ Seq(
// SPARK-5540
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.solveLeastSquares"),
// SPARK-5536
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$^dateFeatures"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$^dateBlock")
) ++ Seq(
// SPARK-3325
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.api.java.JavaDStreamLike.print"),
// SPARK-2757
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.streaming.flume.sink.SparkAvroCallbackHandler." +
"removeAndGetProcessor")
) ++ Seq(
// SPARK-5123 (SparkSQL data type change) - alpha component only
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.ml.feature.HashingTF.outputDataType"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.ml.feature.Tokenizer.outputDataType"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.ml.feature.Tokenizer.validateInputType"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.ml.classification.LogisticRegressionModel.validateAndTransformSchema"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.ml.classification.LogisticRegression.validateAndTransformSchema")
) ++ Seq(
// SPARK-4014
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.TaskContext.taskAttemptId"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.TaskContext.attemptNumber")
) ++ Seq(
// SPARK-5166 Spark SQL API stabilization
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Transformer.transform"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Estimator.fit"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.Transformer.transform"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Pipeline.fit"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.PipelineModel.transform"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.Estimator.fit"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.Evaluator.evaluate"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.Evaluator.evaluate"),
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.feature.StandardScaler.fit"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.StandardScalerModel.transform"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionModel.transform"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.classification.LogisticRegression.fit"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.evaluate")
) ++ Seq(
// SPARK-5270
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.isEmpty")
) ++ Seq(
// SPARK-5430
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.treeReduce"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.treeAggregate")
) ++ Seq(
// SPARK-5297 Java FileStream do not work with custom key/values
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.api.java.JavaStreamingContext.fileStream")
) ++ Seq(
// SPARK-5315 Spark Streaming Java API returns Scala DStream
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.api.java.JavaDStreamLike.reduceByWindow")
) ++ Seq(
// SPARK-5461 Graph should have isCheckpointed, getCheckpointFiles methods
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.graphx.Graph.getCheckpointFiles"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.graphx.Graph.isCheckpointed")
) ++ Seq(
// SPARK-4789 Standardize ML Prediction APIs
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.mllib.linalg.VectorUDT"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.linalg.VectorUDT.serialize"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.linalg.VectorUDT.sqlType")
) ++ Seq(
// SPARK-5814
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$wrapDoubleArray"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$fillFullMatrix"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$iterations"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeOutLinkBlock"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$computeYtY"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeLinkRDDs"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$alpha"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$randomFactor"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$dspr"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$lambda"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$implicitPrefs"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$rank")
) ++ Seq(
// SPARK-4682
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.RealClock"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Clock"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.TestClock")
) ++ Seq(
// SPARK-5922 Adding a generalized diff(other: RDD[(VertexId, VD)]) to VertexRDD
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.VertexRDD.diff")
)
case v if v.startsWith("1.2") =>
Seq(
MimaBuild.excludeSparkPackage("deploy"),
MimaBuild.excludeSparkPackage("graphx")
) ++
MimaBuild.excludeSparkClass("mllib.linalg.Matrix") ++
MimaBuild.excludeSparkClass("mllib.linalg.Vector") ++
Seq(
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.scheduler.TaskLocation"),
// Added normL1 and normL2 to trait MultivariateStatisticalSummary
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.stat.MultivariateStatisticalSummary.normL1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.stat.MultivariateStatisticalSummary.normL2"),
// MapStatus should be private[spark]
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.scheduler.MapStatus"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.network.netty.PathResolver"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.spark.network.netty.client.BlockClientListener"),
// TaskContext was promoted to Abstract class
ProblemFilters.exclude[AbstractClassProblem](
"org.apache.spark.TaskContext"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.util.collection.SortDataFormat")
) ++ Seq(
// Adding new methods to the JavaRDDLike trait:
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.takeAsync"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.foreachPartitionAsync"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.countAsync"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.foreachAsync"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.collectAsync")
) ++ Seq(
// SPARK-3822
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.SparkContext.org$apache$spark$SparkContext$$createTaskScheduler")
) ++ Seq(
// SPARK-1209
ProblemFilters.exclude[MissingClassProblem](
"org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil"),
ProblemFilters.exclude[MissingClassProblem](
"org.apache.hadoop.mapred.SparkHadoopMapRedUtil"),
ProblemFilters.exclude[MissingTypesProblem](
"org.apache.spark.rdd.PairRDDFunctions")
) ++ Seq(
// SPARK-4062
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.kafka.KafkaReceiver#MessageHandler.this")
)
case v if v.startsWith("1.1") =>
Seq(
MimaBuild.excludeSparkPackage("deploy"),
MimaBuild.excludeSparkPackage("graphx")
) ++
Seq(
// Adding new method to JavaRDLike trait - we should probably mark this as a developer API.
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.partitions"),
// Should probably mark this as Experimental
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.foreachAsync"),
// We made a mistake earlier (ed06500d3) in the Java API to use default parameter values
// for countApproxDistinct* functions, which does not work in Java. We later removed
// them, and use the following to tell Mima to not care about them.
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.api.java.JavaPairRDD.countApproxDistinctByKey"),
ProblemFilters.exclude[IncompatibleResultTypeProblem](
"org.apache.spark.api.java.JavaPairRDD.countApproxDistinctByKey"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaPairRDD.countApproxDistinct$default$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaPairRDD.countApproxDistinctByKey$default$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDD.countApproxDistinct$default$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.countApproxDistinct$default$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaDoubleRDD.countApproxDistinct$default$1"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.storage.DiskStore.getValues"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.storage.MemoryStore.Entry")
) ++
Seq(
// Serializer interface change. See SPARK-3045.
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.serializer.DeserializationStream"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.serializer.Serializer"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.serializer.SerializationStream"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem](
"org.apache.spark.serializer.SerializerInstance")
)++
Seq(
// Renamed putValues -> putArray + putIterator
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.storage.MemoryStore.putValues"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.storage.DiskStore.putValues"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.storage.TachyonStore.putValues")
) ++
Seq(
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.flume.FlumeReceiver.this"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.streaming.kafka.KafkaUtils.createStream"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.streaming.kafka.KafkaReceiver.this")
) ++
Seq( // Ignore some private methods in ALS.
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$^dateFeatures"),
ProblemFilters.exclude[MissingMethodProblem]( // The only public constructor is the one without arguments.
"org.apache.spark.mllib.recommendation.ALS.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$<init>$default$7"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$^dateFeatures")
) ++
MimaBuild.excludeSparkClass("mllib.linalg.distributed.ColumnStatisticsAggregator") ++
MimaBuild.excludeSparkClass("rdd.ZippedRDD") ++
MimaBuild.excludeSparkClass("rdd.ZippedPartition") ++
MimaBuild.excludeSparkClass("util.SerializableHyperLogLog") ++
MimaBuild.excludeSparkClass("storage.Values") ++
MimaBuild.excludeSparkClass("storage.Entry") ++
MimaBuild.excludeSparkClass("storage.MemoryStore$Entry") ++
// Class was missing "@DeveloperApi" annotation in 1.0.
MimaBuild.excludeSparkClass("scheduler.SparkListenerApplicationStart") ++
Seq(
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.mllib.tree.impurity.Gini.calculate"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.mllib.tree.impurity.Entropy.calculate"),
ProblemFilters.exclude[IncompatibleMethTypeProblem](
"org.apache.spark.mllib.tree.impurity.Variance.calculate")
) ++
Seq( // Package-private classes removed in SPARK-2341
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.BinaryLabelParser"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.BinaryLabelParser$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.LabelParser"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.LabelParser$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.MulticlassLabelParser"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.MulticlassLabelParser$")
) ++
Seq( // package-private classes removed in MLlib
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm.org$apache$spark$mllib$regression$GeneralizedLinearAlgorithm$$prependOne")
) ++
Seq( // new Vector methods in MLlib (binary compatible assuming users do not implement Vector)
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.copy")
) ++
Seq( // synthetic methods generated in LabeledPoint
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.mllib.regression.LabeledPoint$"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.regression.LabeledPoint.apply"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.regression.LabeledPoint.toString")
) ++
Seq ( // Scala 2.11 compatibility fix
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.<init>$default$2")
)
case v if v.startsWith("1.0") =>
Seq(
MimaBuild.excludeSparkPackage("api.java"),
MimaBuild.excludeSparkPackage("mllib"),
MimaBuild.excludeSparkPackage("streaming")
) ++
MimaBuild.excludeSparkClass("rdd.ClassTags") ++
MimaBuild.excludeSparkClass("util.XORShiftRandom") ++
MimaBuild.excludeSparkClass("graphx.EdgeRDD") ++
MimaBuild.excludeSparkClass("graphx.VertexRDD") ++
MimaBuild.excludeSparkClass("graphx.impl.GraphImpl") ++
MimaBuild.excludeSparkClass("graphx.impl.RoutingTable") ++
MimaBuild.excludeSparkClass("graphx.util.collection.PrimitiveKeyOpenHashMap") ++
MimaBuild.excludeSparkClass("graphx.util.collection.GraphXPrimitiveKeyOpenHashMap") ++
MimaBuild.excludeSparkClass("mllib.recommendation.MFDataGenerator") ++
MimaBuild.excludeSparkClass("mllib.optimization.SquaredGradient") ++
MimaBuild.excludeSparkClass("mllib.regression.RidgeRegressionWithSGD") ++
MimaBuild.excludeSparkClass("mllib.regression.LassoWithSGD") ++
MimaBuild.excludeSparkClass("mllib.regression.LinearRegressionWithSGD")
case _ => Seq()
}
}
Reference in a new issue View git blame Copy permalink