Binary compatibility report for the spark-druid-olap-0.0.1 library between 1.4.0 and 1.3.0 versions (relating to the portability of client application spark-druid-olap-0.0.1.jar)
Test Info
| Library Name | spark-druid-olap-0.0.1 |
|---|
| Version #1 | 1.4.0 |
|---|
| Version #2 | 1.3.0 |
|---|
| Java Version | 1.7.0_75 |
|---|
Test Results
| Total Java ARchives | 1 |
|---|
| Total Methods / Classes | 250 / 550 |
|---|
| Verdict | Incompatible
(33.2%) |
|---|
Problem Summary
| Severity | Count |
|---|
| Added Methods | - | 3 |
|---|
| Removed Methods | High | 42 |
|---|
Problems with
Data Types | High | 6 |
|---|
| Medium | 0 |
| Low | 0 |
Problems with
Methods | High | 1 |
|---|
| Medium | 0 |
| Low | 0 |
Added Methods (3)
spark-sql_2.10-1.3.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.cacheManager ( ) : CacheManager
[mangled: org/apache/spark/sql/SQLContext.cacheManager:()Lorg/apache/spark/sql/CacheManager;]
SQLContext.checkAnalysis ( ) : catalyst.analysis.CheckAnalysis
[mangled: org/apache/spark/sql/SQLContext.checkAnalysis:()Lorg/apache/spark/sql/catalyst/analysis/CheckAnalysis;]
SQLContext.createDataFrame ( org.apache.spark.api.java.JavaRDD<Row> rowRDD, java.util.List<String> columns ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.createDataFrame:(Lorg/apache/spark/api/java/JavaRDD;Ljava/util/List;)Lorg/apache/spark/sql/DataFrame;]
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Removed Methods (42)
spark-sql_2.10-1.4.0.jar, BaseRelation.class
package org.apache.spark.sql.sources
BaseRelation.needConversion ( ) : boolean
[mangled: org/apache/spark/sql/sources/BaseRelation.needConversion:()Z]
spark-sql_2.10-1.4.0.jar, DataFrame.class
package org.apache.spark.sql
DataFrame.coalesce ( int numPartitions ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.coalesce:(I)Lorg/apache/spark/sql/DataFrame;]
DataFrame.cube ( Column... cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.cube:([Lorg/apache/spark/sql/Column;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.cube ( scala.collection.Seq<Column> cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.cube:(Lscala/collection/Seq;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.cube ( String col1, scala.collection.Seq<String> cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.cube:(Ljava/lang/String;Lscala/collection/Seq;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.cube ( String col1, String... cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.cube:(Ljava/lang/String;[Ljava/lang/String;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.describe ( scala.collection.Seq<String> cols ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.describe:(Lscala/collection/Seq;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.describe ( String... cols ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.describe:([Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.drop ( String colName ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.drop:(Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.dropDuplicates ( ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.dropDuplicates:()Lorg/apache/spark/sql/DataFrame;]
DataFrame.dropDuplicates ( scala.collection.Seq<String> colNames ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.dropDuplicates:(Lscala/collection/Seq;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.dropDuplicates ( String[ ] colNames ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.dropDuplicates:([Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.join ( DataFrame right, String usingColumn ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.join:(Lorg/apache/spark/sql/DataFrame;Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.na ( ) : DataFrameNaFunctions
[mangled: org/apache/spark/sql/DataFrame.na:()Lorg/apache/spark/sql/DataFrameNaFunctions;]
DataFrame.DataFrame..logicalPlanToDataFrame ( catalyst.plans.logical.LogicalPlan logicalPlan ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.org.apache.spark.sql.DataFrame..logicalPlanToDataFrame:(Lorg/apache/spark/sql/catalyst/plans/logical/LogicalPlan;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.randomSplit ( double[ ] weights ) : DataFrame[ ]
[mangled: org/apache/spark/sql/DataFrame.randomSplit:([D)[Lorg/apache/spark/sql/DataFrame;]
DataFrame.randomSplit ( double[ ] weights, long seed ) : DataFrame[ ]
[mangled: org/apache/spark/sql/DataFrame.randomSplit:([DJ)[Lorg/apache/spark/sql/DataFrame;]
DataFrame.randomSplit ( scala.collection.immutable.List<Object> weights, long seed ) : DataFrame[ ]
[mangled: org/apache/spark/sql/DataFrame.randomSplit:(Lscala/collection/immutable/List;J)[Lorg/apache/spark/sql/DataFrame;]
DataFrame.rollup ( Column... cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.rollup:([Lorg/apache/spark/sql/Column;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.rollup ( scala.collection.Seq<Column> cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.rollup:(Lscala/collection/Seq;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.rollup ( String col1, scala.collection.Seq<String> cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.rollup:(Ljava/lang/String;Lscala/collection/Seq;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.rollup ( String col1, String... cols ) : GroupedData
[mangled: org/apache/spark/sql/DataFrame.rollup:(Ljava/lang/String;[Ljava/lang/String;)Lorg/apache/spark/sql/GroupedData;]
DataFrame.stat ( ) : DataFrameStatFunctions
[mangled: org/apache/spark/sql/DataFrame.stat:()Lorg/apache/spark/sql/DataFrameStatFunctions;]
DataFrame.write ( ) : DataFrameWriter
[mangled: org/apache/spark/sql/DataFrame.write:()Lorg/apache/spark/sql/DataFrameWriter;]
spark-sql_2.10-1.4.0.jar, DataFrameReader.class
package org.apache.spark.sql
DataFrameReader.parquet ( scala.collection.Seq<String> paths ) : DataFrame
[mangled: org/apache/spark/sql/DataFrameReader.parquet:(Lscala/collection/Seq;)Lorg/apache/spark/sql/DataFrame;]
spark-sql_2.10-1.4.0.jar, SparkPlan.class
package org.apache.spark.sql.execution
SparkPlan.doExecute ( ) [abstract] : org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
[mangled: org/apache/spark/sql/execution/SparkPlan.doExecute:()Lorg/apache/spark/rdd/RDD;]
SparkPlan.outputOrdering ( ) : scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.SortOrder>
[mangled: org/apache/spark/sql/execution/SparkPlan.outputOrdering:()Lscala/collection/Seq;]
SparkPlan.requiredChildOrdering ( ) : scala.collection.Seq<scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.SortOrder>>
[mangled: org/apache/spark/sql/execution/SparkPlan.requiredChildOrdering:()Lscala/collection/Seq;]
spark-sql_2.10-1.4.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.cacheManager ( ) : execution.CacheManager
[mangled: org/apache/spark/sql/SQLContext.cacheManager:()Lorg/apache/spark/sql/execution/CacheManager;]
SQLContext.createDataFrame ( org.apache.spark.rdd.RDD<Row> rowRDD, types.StructType schema, boolean needsConversion ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.createDataFrame:(Lorg/apache/spark/rdd/RDD;Lorg/apache/spark/sql/types/StructType;Z)Lorg/apache/spark/sql/DataFrame;]
SQLContext.createSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.createSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.currentSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.currentSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.defaultSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.defaultSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.detachSession ( ) : void
[mangled: org/apache/spark/sql/SQLContext.detachSession:()V]
SQLContext.dialectClassName ( ) : String
[mangled: org/apache/spark/sql/SQLContext.dialectClassName:()Ljava/lang/String;]
SQLContext.getOrCreate ( org.apache.spark.SparkContext p1 ) [static] : SQLContext
[mangled: org/apache/spark/sql/SQLContext.getOrCreate:(Lorg/apache/spark/SparkContext;)Lorg/apache/spark/sql/SQLContext;]
SQLContext.getSQLDialect ( ) : catalyst.ParserDialect
[mangled: org/apache/spark/sql/SQLContext.getSQLDialect:()Lorg/apache/spark/sql/catalyst/ParserDialect;]
SQLContext.openSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.openSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.range ( long start, long end ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.range:(JJ)Lorg/apache/spark/sql/DataFrame;]
SQLContext.range ( long start, long end, long step, int numPartitions ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.range:(JJJI)Lorg/apache/spark/sql/DataFrame;]
SQLContext.read ( ) : DataFrameReader
[mangled: org/apache/spark/sql/SQLContext.read:()Lorg/apache/spark/sql/DataFrameReader;]
SQLContext.tlSession ( ) : ThreadLocal<SQLContext.SQLSession>
[mangled: org/apache/spark/sql/SQLContext.tlSession:()Ljava/lang/ThreadLocal;]
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Problems with Data Types, High Severity (6)
spark-sql_2.10-1.4.0.jar
package org.apache.spark.sql
[+] Column (1)
| Change | Effect |
|---|
| 1 | Removed super-interface org.apache.spark.Logging. | A client program may be interrupted by NoSuchMethodError exception. |
|---|
[+] affected methods (9)
agg ( Column, Column... )1st parameter 'expr' of this method has type 'Column'.
agg ( Column, scala.collection.Seq<Column> )1st parameter 'expr' of this method has type 'Column'.
apply ( java.lang.String )Return value of this method has type 'Column'.
col ( java.lang.String )Return value of this method has type 'Column'.
filter ( Column )1st parameter 'condition' of this method has type 'Column'.
join ( DataFrame, Column )2nd parameter 'joinExprs' of this method has type 'Column'.
join ( DataFrame, Column, java.lang.String )2nd parameter 'joinExprs' of this method has type 'Column'.
where ( Column )1st parameter 'condition' of this method has type 'Column'.
withColumn ( java.lang.String, Column )2nd parameter 'col' of this method has type 'Column'.
[+] DataFrameReader (1)
| Change | Effect |
|---|
| 1 | This class has been removed. | A client program may be interrupted by NoClassDefFoundError exception. |
|---|
[+] affected methods (1)
parquet ( scala.collection.Seq<java.lang.String> )This method is from 'DataFrameReader' class.
[+] SQLConf (1)
| Change | Effect |
|---|
| 1 | Removed super-interface catalyst.CatalystConf. | A client program may be interrupted by NoSuchMethodError exception. |
|---|
[+] affected methods (1)
conf ( )Return value of this method has type 'SQLConf'.
package org.apache.spark.sql.execution
[+] SparkPlan (2)
| Change | Effect |
|---|
| 1 | Method execute ( ) became abstract. | A client program may be interrupted by InstantiationError exception. |
|---|
| 2 | Abstract method doExecute ( ) has been removed from this class. | A client program may be interrupted by NoSuchMethodError exception. |
|---|
[+] affected methods (30)
codegenEnabled ( )This method is from 'SparkPlan' abstract class.
execute ( )This method is from 'SparkPlan' abstract class.
executeCollect ( )This method is from 'SparkPlan' abstract class.
executeTake ( int )This method is from 'SparkPlan' abstract class.
isTraceEnabled ( )This method is from 'SparkPlan' abstract class.
log ( )This method is from 'SparkPlan' abstract class.
logDebug ( scala.Function0<java.lang.String> )This method is from 'SparkPlan' abstract class.
logDebug ( scala.Function0<java.lang.String>, java.lang.Throwable )This method is from 'SparkPlan' abstract class.
logError ( scala.Function0<java.lang.String> )This method is from 'SparkPlan' abstract class.
logError ( scala.Function0<java.lang.String>, java.lang.Throwable )This method is from 'SparkPlan' abstract class.
logInfo ( scala.Function0<java.lang.String> )This method is from 'SparkPlan' abstract class.
logInfo ( scala.Function0<java.lang.String>, java.lang.Throwable )This method is from 'SparkPlan' abstract class.
logName ( )This method is from 'SparkPlan' abstract class.
logTrace ( scala.Function0<java.lang.String> )This method is from 'SparkPlan' abstract class.
logTrace ( scala.Function0<java.lang.String>, java.lang.Throwable )This method is from 'SparkPlan' abstract class.
logWarning ( scala.Function0<java.lang.String> )This method is from 'SparkPlan' abstract class.
logWarning ( scala.Function0<java.lang.String>, java.lang.Throwable )This method is from 'SparkPlan' abstract class.
makeCopy ( java.lang.Object[ ] )This method is from 'SparkPlan' abstract class.
makeCopy ( java.lang.Object[ ] )This method is from 'SparkPlan' abstract class.
newMutableProjection ( scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression>, scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> )This method is from 'SparkPlan' abstract class.
newOrdering ( scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.SortOrder>, scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> )This method is from 'SparkPlan' abstract class.
newPredicate ( org.apache.spark.sql.catalyst.expressions.Expression, scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> )This method is from 'SparkPlan' abstract class.
newProjection ( scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression>, scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> )This method is from 'SparkPlan' abstract class.
org.apache.spark.Logging..log_ ( )This method is from 'SparkPlan' abstract class.
org.apache.spark.Logging..log__.eq ( org.slf4j.Logger )This method is from 'SparkPlan' abstract class.
outputPartitioning ( )This method is from 'SparkPlan' abstract class.
requiredChildDistribution ( )This method is from 'SparkPlan' abstract class.
sparkContext ( )This method is from 'SparkPlan' abstract class.
SparkPlan ( )This constructor is from 'SparkPlan' abstract class.
sqlContext ( )This method is from 'SparkPlan' abstract class.
package org.apache.spark.sql.sources
[+] DDLParser (1)
| Change | Effect |
|---|
| 1 | Removed super-interface org.apache.spark.sql.types.DataTypeParser. | A client program may be interrupted by NoSuchMethodError exception. |
|---|
[+] affected methods (1)
ddlParser ( )Return value of this method has type 'DDLParser'.
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Problems with Methods, High Severity (1)
spark-sql_2.10-1.4.0.jar, SparkPlan
package org.apache.spark.sql.execution
[+] SparkPlan.execute ( ) : org.apache.spark.rdd.RDD<org.apache.spark.sql.Row> (1)
[mangled: org/apache/spark/sql/execution/SparkPlan.execute:()Lorg/apache/spark/rdd/RDD;]
| Change | Effect |
|---|
| 1 | Method became abstract.
| A client program trying to create an instance of the method's class may be interrupted by InstantiationError exception. |
|---|
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Java ARchives (1)
spark-sql_2.10-1.4.0.jar
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Generated on Tue Sep 1 20:23:35 2015 for spark-druid-olap-0.0.1 by Java API Compliance Checker 1.4.1
A tool for checking backward compatibility of a Java library API