Binary compatibility report for the spark-scalding_2.10-0.5.0 library  between 1.4.0 and 1.0.0 versions   (relating to the portability of client application spark-scalding_2.10-0.5.0.jar)

Test Info

Library Namespark-scalding_2.10-0.5.0
Version #11.4.0
Version #21.0.0
Java Version1.7.0_85

Test Results

Total Java ARchives1
Total Methods / Classes350 / 1925
VerdictIncompatible
(63.9%)

Problem Summary

SeverityCount
Added Methods-10
Removed MethodsHigh71
Problems with
Data Types		High12
Medium2
Low3
Problems with
Methods		High0
Medium0
Low3

Added Methods (10)

spark-core_2.10-1.0.0.jar, RDD<T>.class
package org.apache.spark.rdd
RDD<T>.creationSiteInfo ( )  :  org.apache.spark.util.Utils.CallSiteInfo

spark-core_2.10-1.0.0.jar, SparkContext.class
package org.apache.spark
SparkContext.clean ( F f )  :  F
SparkContext.getCallSite ( )  :  String
SparkContext.ui ( )  :  ui.SparkUI

spark-core_2.10-1.0.0.jar, TaskContext.class
package org.apache.spark
TaskContext.completed ( )  :  boolean
TaskContext.completed_.eq ( boolean p1 )  :  void
TaskContext.executeOnCompleteCallbacks ( )  :  void
TaskContext.interrupted ( )  :  boolean
TaskContext.interrupted_.eq ( boolean p1 )  :  void
TaskContext.TaskContext ( int stageId, int partitionId, long attemptId, boolean runningLocally, executor.TaskMetrics taskMetrics )

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Removed Methods (71)

spark-core_2.10-1.4.0.jar, RDD<T>.class
package org.apache.spark.rdd
RDD<T>.countApproxDistinct ( int p, int sp )  :  long
RDD<T>.creationSite ( )  :  org.apache.spark.util.CallSite
RDD<T>.doubleRDDToDoubleRDDFunctions ( RDD<Object> p1 ) [static]  :  DoubleRDDFunctions
RDD<T>.isEmpty ( )  :  boolean
RDD<T>.logName ( )  :  String
RDD<T>.numericRDDToDoubleRDDFunctions ( RDD<T> p1, scala.math.Numeric<T> p2 ) [static]  :  DoubleRDDFunctions
RDD<T>.RDD..doCheckpointCalled ( )  :  boolean
RDD<T>.RDD..doCheckpointCalled_.eq ( boolean p1 )  :  void
RDD<T>.RDD..sc ( )  :  org.apache.spark.SparkContext
RDD<T>.parent ( int j, scala.reflect.ClassTag<U> p2 )  :  RDD<U>
RDD<T>.randomSampleWithRange ( double lb, double ub, long seed )  :  RDD<T>
RDD<T>.rddToAsyncRDDActions ( RDD<T> p1, scala.reflect.ClassTag<T> p2 ) [static]  :  AsyncRDDActions<T>
RDD<T>.rddToOrderedRDDFunctions ( RDD<scala.Tuple2<K,V>> p1, scala.math.Ordering<K> p2, scala.reflect.ClassTag<K> p3, scala.reflect.ClassTag<V> p4 ) [static]  :  OrderedRDDFunctions<K,V,scala.Tuple2<K,V>>
RDD<T>.rddToPairRDDFunctions ( RDD<scala.Tuple2<K,V>> p1, scala.reflect.ClassTag<K> p2, scala.reflect.ClassTag<V> p3, scala.math.Ordering<K> p4 ) [static]  :  PairRDDFunctions<K,V>
RDD<T>.rddToSequenceFileRDDFunctions ( RDD<scala.Tuple2<K,V>> p1, scala.reflect.ClassTag<K> p2, scala.reflect.ClassTag<V> p3, org.apache.spark.WritableFactory<K> p4, org.apache.spark.WritableFactory<V> p5 ) [static]  :  SequenceFileRDDFunctions<K,V>
RDD<T>.retag ( Class<T> cls )  :  RDD<T>
RDD<T>.retag ( scala.reflect.ClassTag<T> classTag )  :  RDD<T>
RDD<T>.scope ( )  :  scala.Option<RDDOperationScope>
RDD<T>.sortBy ( scala.Function1<T,K> f, boolean ascending, int numPartitions, scala.math.Ordering<K> ord, scala.reflect.ClassTag<K> ctag )  :  RDD<T>
RDD<T>.treeAggregate ( U zeroValue, scala.Function2<U,T,U> seqOp, scala.Function2<U,U,U> combOp, int depth, scala.reflect.ClassTag<U> p5 )  :  U
RDD<T>.treeReduce ( scala.Function2<T,T,T> f, int depth )  :  T
RDD<T>.withScope ( scala.Function0<U> body )  :  U

spark-core_2.10-1.4.0.jar, SparkContext.class
package org.apache.spark
SparkContext.accumulable ( R initialValue, String name, AccumulableParam<R,T> param )  :  Accumulable<R,T>
SparkContext.accumulator ( T initialValue, String name, AccumulatorParam<T> param )  :  Accumulator<T>
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.clean ( F f, boolean checkSerializable )  :  F
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.getCallSite ( )  :  util.CallSite
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.killExecutor ( String executorId )  :  boolean
SparkContext.killExecutors ( scala.collection.Seq<String> executorIds )  :  boolean
SparkContext.logName ( )  :  String
SparkContext.metricsSystem ( )  :  metrics.MetricsSystem
SparkContext.SparkContext.._conf ( )  :  SparkConf
SparkContext.SparkContext.._env ( )  :  SparkEnv
SparkContext.SparkContext..assertNotStopped ( )  :  void
SparkContext.SparkContext..creationSite ( )  :  util.CallSite
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 )  :  boolean
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.supportDynamicAllocation ( )  :  boolean
SparkContext.ui ( )  :  scala.Option<ui.SparkUI>
SparkContext.withScope ( scala.Function0<U> body )  :  U

spark-core_2.10-1.4.0.jar, TaskContext.class
package org.apache.spark
TaskContext.addTaskCompletionListener ( util.TaskCompletionListener p1 ) [abstract]  :  TaskContext
TaskContext.addTaskCompletionListener ( scala.Function1<TaskContext,scala.runtime.BoxedUnit> p1 ) [abstract]  :  TaskContext
TaskContext.attemptNumber ( ) [abstract]  :  int
TaskContext.get ( ) [static]  :  TaskContext
TaskContext.isCompleted ( ) [abstract]  :  boolean
TaskContext.isInterrupted ( ) [abstract]  :  boolean
TaskContext.isRunningLocally ( ) [abstract]  :  boolean
TaskContext.taskAttemptId ( ) [abstract]  :  long
TaskContext.TaskContext ( )
TaskContext.taskMemoryManager ( ) [abstract]  :  unsafe.memory.TaskMemoryManager

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Problems with Data Types, High Severity (12)

spark-core_2.10-1.4.0.jar
package org.apache.spark
[+] SparkContext (1)
[+] TaskContext (9)

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 (2)

spark-core_2.10-1.4.0.jar
package org.apache.spark.api.java
[+] JavaRDD<T> (1)

package org.apache.spark.scheduler
[+] LiveListenerBus (1)

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Problems with Data Types, Low Severity (3)

spark-core_2.10-1.4.0.jar
package org.apache.spark
[+] TaskContext (3)

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Problems with Methods, Low Severity (3)

spark-core_2.10-1.4.0.jar, TaskContext
package org.apache.spark
[+] TaskContext.partitionId ( ) [abstract]  :  int (1)
[+] TaskContext.stageId ( ) [abstract]  :  int (1)
[+] TaskContext.taskMetrics ( ) [abstract]  :  executor.TaskMetrics (1)

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Java ARchives (1)

spark-core_2.10-1.4.0.jar

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Generated on Fri Nov 13 00:56:15 2015 for spark-scalding_2.10-0.5.0 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API