Binary compatibility report for the spark-netflow-0.0.1-s_2.10 library  between 1.4.0 and 1.5.0 versions   (relating to the portability of client application spark-netflow-0.0.1-s_2.10.jar)

Test Info


Library Namespark-netflow-0.0.1-s_2.10
Version #11.4.0
Version #21.5.0
Java Version1.7.0_85

Test Results


Total Java ARchives2
Total Methods / Classes508 / 2470
VerdictIncompatible
(7.7%)

Problem Summary


SeverityCount
Added Methods-53
Removed MethodsHigh6
Problems with
Data Types
High1
Medium1
Low3
Problems with
Methods
High0
Medium0
Low0
Other Changes
in Data Types
-6

Added Methods (53)


spark-core_2.10-1.5.0.jar, RDD<T>.class
package org.apache.spark.rdd
RDD<T>.isLocallyCheckpointed ( )  :  boolean
RDD<T>.localCheckpoint ( )  :  RDD<T>
RDD<T>.markCheckpointed ( )  :  void

spark-core_2.10-1.5.0.jar, SparkContext.class
package org.apache.spark
SparkContext.killAndReplaceExecutor ( String executorId )  :  boolean
SparkContext.SparkContext.._cleaner ( )  :  scala.Option<ContextCleaner>
SparkContext.SparkContext.._dagScheduler ( )  :  scheduler.DAGScheduler
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..postApplicationEnd ( )  :  void
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

spark-core_2.10-1.5.0.jar, TaskContext.class
package org.apache.spark
TaskContext.collectAccumulators ( ) [abstract]  :  scala.collection.immutable.Map<Object,Object>
TaskContext.collectInternalAccumulators ( ) [abstract]  :  scala.collection.immutable.Map<Object,Object>
TaskContext.getMetricsSources ( String p1 ) [abstract]  :  scala.collection.Seq<metrics.source.Source>
TaskContext.getPartitionId ( ) [static]  :  int
TaskContext.internalMetricsToAccumulators ( ) [abstract]  :  scala.collection.immutable.Map<String,Accumulator<Object>>
TaskContext.registerAccumulator ( Accumulable<?,?> p1 ) [abstract]  :  void

spark-sql_2.10-1.5.0.jar, HadoopFsRelation.class
package org.apache.spark.sql.sources
HadoopFsRelation.inputFiles ( )  :  String[ ]
HadoopFsRelation.isTraceEnabled ( )  :  boolean
HadoopFsRelation.listLeafFiles ( org.apache.hadoop.fs.FileSystem p1, org.apache.hadoop.fs.FileStatus p2 ) [static]  :  org.apache.hadoop.fs.FileStatus[ ]
HadoopFsRelation.listLeafFilesInParallel ( String[ ] p1, org.apache.hadoop.conf.Configuration p2, org.apache.spark.SparkContext p3 ) [static]  :  scala.collection.immutable.Set<org.apache.hadoop.fs.FileStatus>
HadoopFsRelation.log ( )  :  org.slf4j.Logger
HadoopFsRelation.logDebug ( scala.Function0<String> msg )  :  void
HadoopFsRelation.logDebug ( scala.Function0<String> msg, Throwable throwable )  :  void
HadoopFsRelation.logError ( scala.Function0<String> msg )  :  void
HadoopFsRelation.logError ( scala.Function0<String> msg, Throwable throwable )  :  void
HadoopFsRelation.logInfo ( scala.Function0<String> msg )  :  void
HadoopFsRelation.logInfo ( scala.Function0<String> msg, Throwable throwable )  :  void
HadoopFsRelation.logName ( )  :  String
HadoopFsRelation.logTrace ( scala.Function0<String> msg )  :  void
HadoopFsRelation.logTrace ( scala.Function0<String> msg, Throwable throwable )  :  void
HadoopFsRelation.logWarning ( scala.Function0<String> msg )  :  void
HadoopFsRelation.logWarning ( scala.Function0<String> msg, Throwable throwable )  :  void
HadoopFsRelation.org.apache.spark.Logging..log_ ( )  :  org.slf4j.Logger
HadoopFsRelation.org.apache.spark.Logging..log__.eq ( org.slf4j.Logger p1 )  :  void
HadoopFsRelation.HadoopFsRelation..discoverPartitions ( )  :  org.apache.spark.sql.execution.datasources.PartitionSpec
HadoopFsRelation.partitionSpec ( )  :  org.apache.spark.sql.execution.datasources.PartitionSpec
HadoopFsRelation.sizeInBytes ( )  :  long
HadoopFsRelation.toString ( )  :  String

spark-sql_2.10-1.5.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.ddlParser ( )  :  execution.datasources.DDLParser
SQLContext.getConf ( SQLConf.SQLConfEntry<T> entry )  :  T
SQLContext.getConf ( SQLConf.SQLConfEntry<T> entry, T defaultValue )  :  T
SQLContext.internalCreateDataFrame ( org.apache.spark.rdd.RDD<catalyst.InternalRow> catalystRows, types.StructType schema )  :  DataFrame
SQLContext.listener ( )  :  execution.ui.SQLListener
SQLContext.range ( long end )  :  DataFrame
SQLContext.setConf ( SQLConf.SQLConfEntry<T> entry, T value )  :  void
SQLContext.setSession ( SQLContext.SQLSession session )  :  void

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Removed Methods (6)


spark-core_2.10-1.4.0.jar, RDD<T>.class
package org.apache.spark.rdd
RDD<T>.markCheckpointed ( RDD<?> checkpointRDD )  :  void

spark-core_2.10-1.4.0.jar, SparkContext.class
package org.apache.spark
SparkContext.requestTotalExecutors ( int numExecutors )  :  boolean
SparkContext.supportDynamicAllocation ( )  :  boolean

spark-sql_2.10-1.4.0.jar, HadoopFsRelation.class
package org.apache.spark.sql.sources
HadoopFsRelation.HadoopFsRelation..discoverPartitions ( )  :  PartitionSpec
HadoopFsRelation.partitionSpec ( )  :  PartitionSpec

spark-sql_2.10-1.4.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.ddlParser ( )  :  sources.DDLParser

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Problems with Data Types, High Severity (1)


spark-sql_2.10-1.4.0.jar
package org.apache.spark.sql
[+] DataFrame (1)

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Problems with Data Types, Medium Severity (1)


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

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Problems with Data Types, Low Severity (3)


spark-sql_2.10-1.4.0.jar
package org.apache.spark.sql
[+] DataFrame (1)
[+] SQLContext.implicits. (1)

package org.apache.spark.sql.sources
[+] HadoopFsRelation (1)

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Other Changes in Data Types (6)


spark-core_2.10-1.4.0.jar
package org.apache.spark
[+] TaskContext (4)

spark-sql_2.10-1.4.0.jar
package org.apache.spark.sql.sources
[+] HadoopFsRelation (2)

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Java ARchives (2)


spark-core_2.10-1.4.0.jar
spark-sql_2.10-1.4.0.jar

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Generated on Wed Jan 20 10:46:54 2016 for spark-netflow-0.0.1-s_2.10 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API