Binary compatibility report for the ARCANE-Spark-1.0.0 library  between 1.5.0 and 1.1.0 versions   (relating to the portability of client application ARCANE-Spark-1.0.0.jar)

Test Info


Library NameARCANE-Spark-1.0.0
Version #11.5.0
Version #21.1.0
Java Version1.7.0_85

Test Results


Total Java ARchives1
Total Methods / Classes194 / 2029
VerdictIncompatible
(97.9%)

Problem Summary


SeverityCount
Added Methods-1
Removed MethodsHigh46
Problems with
Data Types
High3
Medium1
Low0
Problems with
Methods
High0
Medium0
Low0

Added Methods (1)


spark-core_2.10-1.1.0.jar, SparkContext.class
package org.apache.spark
SparkContext.ui ( )  :  ui.SparkUI

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Removed Methods (46)


spark-core_2.10-1.5.0.jar, SparkContext.class
package org.apache.spark
SparkContext.addFile ( String path, boolean recursive )  :  void
SparkContext.applicationAttemptId ( )  :  scala.Option<String>
SparkContext.applicationId ( )  :  String
SparkContext.binaryFiles ( String path, int minPartitions )  :  rdd.RDD<scala.Tuple2<String,input.PortableDataStream>>
SparkContext.binaryRecords ( String path, int recordLength, org.apache.hadoop.conf.Configuration conf )  :  rdd.RDD<byte[ ]>
SparkContext.createSparkEnv ( SparkConf conf, boolean isLocal, scheduler.LiveListenerBus listenerBus )  :  SparkEnv
SparkContext.eventLogCodec ( )  :  scala.Option<String>
SparkContext.eventLogDir ( )  :  scala.Option<java.net.URI>
SparkContext.executorAllocationManager ( )  :  scala.Option<ExecutorAllocationManager>
SparkContext.externalBlockStoreFolderName ( )  :  String
SparkContext.getExecutorThreadDump ( String executorId )  :  scala.Option<util.ThreadStackTrace[ ]>
SparkContext.getOrCreate ( ) [static]  :  SparkContext
SparkContext.getOrCreate ( SparkConf p1 ) [static]  :  SparkContext
SparkContext.isEventLogEnabled ( )  :  boolean
SparkContext.jobProgressListener ( )  :  ui.jobs.JobProgressListener
SparkContext.killAndReplaceExecutor ( String executorId )  :  boolean
SparkContext.killExecutor ( String executorId )  :  boolean
SparkContext.killExecutors ( scala.collection.Seq<String> executorIds )  :  boolean
SparkContext.metricsSystem ( )  :  metrics.MetricsSystem
SparkContext.SparkContext.._cleaner ( )  :  scala.Option<ContextCleaner>
SparkContext.SparkContext.._conf ( )  :  SparkConf
SparkContext.SparkContext.._dagScheduler ( )  :  scheduler.DAGScheduler
SparkContext.SparkContext.._env ( )  :  SparkEnv
SparkContext.SparkContext.._eventLogger ( )  :  scala.Option<scheduler.EventLoggingListener>
SparkContext.SparkContext.._executorAllocationManager ( )  :  scala.Option<ExecutorAllocationManager>
SparkContext.SparkContext.._heartbeatReceiver ( )  :  rpc.RpcEndpointRef
SparkContext.SparkContext.._listenerBusStarted_.eq ( boolean p1 )  :  void
SparkContext.SparkContext.._progressBar ( )  :  scala.Option<ui.ConsoleProgressBar>
SparkContext.SparkContext.._ui ( )  :  scala.Option<ui.SparkUI>
SparkContext.SparkContext..assertNotStopped ( )  :  void
SparkContext.SparkContext..creationSite ( )  :  util.CallSite
SparkContext.SparkContext..postApplicationEnd ( )  :  void
SparkContext.progressBar ( )  :  scala.Option<ui.ConsoleProgressBar>
SparkContext.range ( long start, long end, long step, int numSlices )  :  rdd.RDD<Object>
SparkContext.requestExecutors ( int numAdditionalExecutors )  :  boolean
SparkContext.requestTotalExecutors ( int numExecutors, int localityAwareTasks, scala.collection.immutable.Map<String,Object> hostToLocalTaskCount )  :  boolean
SparkContext.runJob ( rdd.RDD<T> rdd, scala.Function1<scala.collection.Iterator<T>,U> func, scala.collection.Seq<Object> partitions, scala.reflect.ClassTag<U> p4 )  :  Object
SparkContext.runJob ( rdd.RDD<T> rdd, scala.Function2<TaskContext,scala.collection.Iterator<T>,U> func, scala.collection.Seq<Object> partitions, scala.Function2<Object,U,scala.runtime.BoxedUnit> resultHandler, scala.reflect.ClassTag<U> p5 )  :  void
SparkContext.runJob ( rdd.RDD<T> rdd, scala.Function2<TaskContext,scala.collection.Iterator<T>,U> func, scala.collection.Seq<Object> partitions, scala.reflect.ClassTag<U> p4 )  :  Object
SparkContext.schedulerBackend ( )  :  scheduler.SchedulerBackend
SparkContext.schedulerBackend_.eq ( scheduler.SchedulerBackend sb )  :  void
SparkContext.setCallSite ( util.CallSite callSite )  :  void
SparkContext.setLogLevel ( String logLevel )  :  void
SparkContext.statusTracker ( )  :  SparkStatusTracker
SparkContext.ui ( )  :  scala.Option<ui.SparkUI>
SparkContext.withScope ( scala.Function0<U> body )  :  U

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Problems with Data Types, High Severity (3)


spark-core_2.10-1.5.0.jar
package org.apache.spark
[+] SparkContext (1)

package org.apache.spark.broadcast
[+] Broadcast<T> (1)

package org.apache.spark.rdd
[+] PairRDDFunctions<K,V> (1)

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Problems with Data Types, Medium Severity (1)


spark-core_2.10-1.5.0.jar
package org.apache.spark.scheduler
[+] LiveListenerBus (1)

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Java ARchives (1)


spark-core_2.10-1.5.0.jar

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Generated on Wed Jan 20 03:54:25 2016 for ARCANE-Spark-1.0.0 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API