Binary compatibility report for the spark-mongodb_2.10-0.11.0 library  between 1.5.0 and 1.4.0 versions   (relating to the portability of client application spark-mongodb_2.10-0.11.0.jar)

Test Info

Library Namespark-mongodb_2.10-0.11.0
Version #11.5.0
Version #21.4.0
Java Version1.7.0_85

Test Results

Total Java ARchives2
Total Methods / Classes396 / 2659
VerdictIncompatible
(10.7%)

Problem Summary

SeverityCount
Added Methods-11
Removed MethodsHigh25
Problems with
Data Types		High6
Medium1
Low1
Problems with
Methods		High0
Medium0
Low0

Added Methods (11)

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

spark-sql_2.10-1.4.0.jar, DataFrame.class
package org.apache.spark.sql
DataFrame.cache ( )  :  RDDApi
DataFrame.collect ( )  :  Object
DataFrame.first ( )  :  Object
DataFrame.persist ( )  :  RDDApi
DataFrame.persist ( org.apache.spark.storage.StorageLevel newLevel )  :  RDDApi
DataFrame.showString ( int numRows )  :  String
DataFrame.take ( int n )  :  Object
DataFrame.unpersist ( )  :  RDDApi
DataFrame.unpersist ( boolean blocking )  :  RDDApi

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

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Removed Methods (25)

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, 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, DataFrame.class
package org.apache.spark.sql
DataFrame.drop ( Column col )  :  DataFrame
DataFrame.inputFiles ( )  :  String[ ]
DataFrame.join ( DataFrame right, scala.collection.Seq<String> usingColumns )  :  DataFrame
DataFrame.show ( boolean truncate )  :  void
DataFrame.show ( int numRows, boolean truncate )  :  void
DataFrame.showString ( int _numRows, boolean truncate )  :  String
DataFrame.where ( String conditionExpr )  :  DataFrame
DataFrame.withNewExecutionId ( scala.Function0<T> body )  :  T

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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Problems with Data Types, High Severity (6)

spark-core_2.10-1.5.0.jar
package org.apache.spark
[+] TaskContext (5)

spark-sql_2.10-1.5.0.jar
package org.apache.spark.sql
[+] DataFrameReader (1)

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Problems with Data Types, Medium Severity (1)

spark-sql_2.10-1.5.0.jar
package org.apache.spark.sql
[+] SQLContext.implicits. (1)

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Problems with Data Types, Low Severity (1)

spark-sql_2.10-1.5.0.jar
package org.apache.spark.sql
[+] DataFrame (1)

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Java ARchives (2)

spark-core_2.10-1.5.0.jar
spark-sql_2.10-1.5.0.jar

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Generated on Thu Feb 11 16:16:43 2016 for spark-mongodb_2.10-0.11.0 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API