Binary compatibility report for the spark-testing-base_2.10-0.1.3 library  between 1.5.0 and 1.4.0 versions   (relating to the portability of client application spark-testing-base_2.10-0.1.3.jar)

Test Info


Library Namespark-testing-base_2.10-0.1.3
Version #11.5.0
Version #21.4.0
Java Version1.7.0_75

Test Results


Total Java ARchives6
Total Methods / Classes792 / 3141
VerdictIncompatible
(4.5%)

Problem Summary


SeverityCount
Added Methods-13
Removed MethodsHigh34
Problems with
Data Types
High1
Medium1
Low1
Problems with
Methods
High0
Medium0
Low0

Added Methods (13)


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, 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

spark-streaming-kafka_2.10-1.4.0.jar, KafkaTestUtils.class
package org.apache.spark.streaming.kafka
KafkaTestUtils.waitUntilLeaderOffset ( String topic, int partition, long offset )  :  void

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Removed Methods (34)


spark-core_2.10-1.5.0.jar, SparkConf.class
package org.apache.spark
SparkConf.getAvroSchema ( )  :  scala.collection.immutable.Map<Object,String>
SparkConf.getSizeAsBytes ( String key, long defaultValue )  :  long
SparkConf.registerAvroSchemas ( scala.collection.Seq<org.apache.avro.Schema> schemas )  :  SparkConf

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-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

spark-streaming_2.10-1.5.0.jar, InputDStream<T>.class
package org.apache.spark.streaming.dstream
InputDStream<T>.rateController ( )  :  scala.Option<org.apache.spark.streaming.scheduler.RateController>

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Problems with Data Types, High Severity (1)


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 (6)


spark-core_2.10-1.5.0.jar
spark-hive_2.10-1.5.0.jar
spark-sql_2.10-1.5.0.jar
spark-streaming-kafka_2.10-1.5.0.jar
spark-streaming_2.10-1.5.0.jar
spark-yarn_2.10-1.5.0.jar

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Generated on Wed Oct 7 07:08:32 2015 for spark-testing-base_2.10-0.1.3 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API