Binary compatibility report for the sparkling-graph-examples_2.10-0.0.2 library between 1.5.0 and 1.4.0 versions (relating to the portability of client application sparkling-graph-examples_2.10-0.0.2.jar)
Test Info
Library Name | sparkling-graph-examples_2.10-0.0.2 |
Version #1 | 1.5.0 |
Version #2 | 1.4.0 |
Java Version | 1.7.0_85 |
Test Results
Total Java ARchives | 3 |
---|
Total Methods / Classes | 207 / 3398 |
---|
Verdict | Incompatible (9.4%) |
Problem Summary
| Severity | Count |
---|
Added Methods | - | 2 |
---|
Removed Methods | High | 14 |
---|
Problems with Data Types | High | 1 |
---|
Medium | 1 |
Low | 1 |
Problems with Methods | High | 0 |
---|
Medium | 0 |
Low | 0 |
Added Methods (2)
spark-core_2.10-1.4.0.jar, SparkContext.class
package org.apache.spark
SparkContext.requestTotalExecutors ( int numExecutors ) : boolean
[mangled: org/apache/spark/SparkContext.requestTotalExecutors:(I)Z]
SparkContext.supportDynamicAllocation ( ) : boolean
[mangled: org/apache/spark/SparkContext.supportDynamicAllocation:()Z]
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Removed Methods (14)
spark-core_2.10-1.5.0.jar, SparkContext.class
package org.apache.spark
SparkContext.killAndReplaceExecutor ( String executorId ) : boolean
[mangled: org/apache/spark/SparkContext.killAndReplaceExecutor:(Ljava/lang/String;)Z]
SparkContext.SparkContext.._cleaner ( ) : scala.Option<ContextCleaner>
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._cleaner:()Lscala/Option;]
SparkContext.SparkContext.._dagScheduler ( ) : scheduler.DAGScheduler
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._dagScheduler:()Lorg/apache/spark/scheduler/DAGScheduler;]
SparkContext.SparkContext.._eventLogger ( ) : scala.Option<scheduler.EventLoggingListener>
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._eventLogger:()Lscala/Option;]
SparkContext.SparkContext.._executorAllocationManager ( ) : scala.Option<ExecutorAllocationManager>
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._executorAllocationManager:()Lscala/Option;]
SparkContext.SparkContext.._heartbeatReceiver ( ) : rpc.RpcEndpointRef
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._heartbeatReceiver:()Lorg/apache/spark/rpc/RpcEndpointRef;]
SparkContext.SparkContext.._listenerBusStarted_.eq ( boolean p1 ) : void
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._listenerBusStarted_.eq:(Z)V]
SparkContext.SparkContext.._progressBar ( ) : scala.Option<ui.ConsoleProgressBar>
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._progressBar:()Lscala/Option;]
SparkContext.SparkContext.._ui ( ) : scala.Option<ui.SparkUI>
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._ui:()Lscala/Option;]
SparkContext.SparkContext..postApplicationEnd ( ) : void
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext..postApplicationEnd:()V]
SparkContext.requestTotalExecutors ( int numExecutors, int localityAwareTasks, scala.collection.immutable.Map<String,Object> hostToLocalTaskCount ) : boolean
[mangled: org/apache/spark/SparkContext.requestTotalExecutors:(IILscala/collection/immutable/Map;)Z]
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
[mangled: org/apache/spark/SparkContext.runJob:(Lorg/apache/spark/rdd/RDD;Lscala/Function1;Lscala/collection/Seq;Lscala/reflect/ClassTag;)Ljava/lang/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
[mangled: org/apache/spark/SparkContext.runJob:(Lorg/apache/spark/rdd/RDD;Lscala/Function2;Lscala/collection/Seq;Lscala/Function2;Lscala/reflect/ClassTag;)V]
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
[mangled: org/apache/spark/SparkContext.runJob:(Lorg/apache/spark/rdd/RDD;Lscala/Function2;Lscala/collection/Seq;Lscala/reflect/ClassTag;)Ljava/lang/Object;]
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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)
| Change | Effect |
---|
1 | Removed super-interface org.apache.spark.Logging. | A client program may be interrupted by NoSuchMethodError exception. |
[+] affected methods (5)
format ( java.lang.String )This method is from 'DataFrameReader' class.
load ( java.lang.String )This method is from 'DataFrameReader' class.
option ( java.lang.String, java.lang.String )This method is from 'DataFrameReader' class.
schema ( types.StructType )This method is from 'DataFrameReader' class.
read ( )Return value of this method has type 'DataFrameReader'.
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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)
| Change | Effect |
---|
1 | Removed super-class SQLImplicits. | Access of a client program to the fields or methods of the old super-class may be interrupted by NoSuchFieldError or NoSuchMethodError exceptions. |
[+] affected methods (1)
implicits ( )Return value of this method has type 'SQLContext.implicits.'.
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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)
| Change | Effect |
---|
1 | Added super-class java.lang.Object. | A static field from a super-interface of a client class may hide a field (with the same name) inherited from new super-class and cause IncompatibleClassChangeError exception. |
[+] affected methods (6)
groupBy ( java.lang.String, scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
join ( DataFrame, java.lang.String )This method is from 'DataFrame' class.
rdd ( )This method is from 'DataFrame' class.
toDF ( scala.collection.Seq<java.lang.String> )Return value of this method has type 'DataFrame'.
load ( java.lang.String )Return value of this method has type 'DataFrame'.
mean ( scala.collection.Seq<java.lang.String> )Return value of this method has type 'DataFrame'.
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Java ARchives (3)
spark-core_2.10-1.5.0.jar
spark-mllib_2.10-1.5.0.jar
spark-sql_2.10-1.5.0.jar
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Generated on Tue Feb 9 02:02:23 2016 for sparkling-graph-examples_2.10-0.0.2 by Java API Compliance Checker 1.4.1
A tool for checking backward compatibility of a Java library API