Binary compatibility report for the hivemall-spark-0.0.4 library between 1.4.0 and 1.3.0 versions (relating to the portability of client application hivemall-spark-0.0.4.jar)

Test Info

Library Name	hivemall-spark-0.0.4
Version #1	1.4.0
Version #2	1.3.0
Java Version	1.7.0_75

Test Results

Total Java ARchives	3
Total Methods / Classes	405 / 1294
Verdict	Incompatible (35.6%)

Problem Summary

	Severity	Count
Added Methods	-	13
Removed Methods	High	89
Problems with Data Types	High	3
	Medium	0
	Low	3
Problems with Methods	High	0
	Medium	0
	Low	0

Added Methods (13)

spark-hive_2.10-1.3.0.jar, HiveContext.class
package org.apache.spark.sql.hive
HiveContext.conf ( ) :  org.apache.spark.sql.SQLConf
HiveContext.ddlParserWithHiveQL ( ) :  org.apache.spark.sql.sources.DDLParser
HiveContext.outputBuffer ( ) :  java.io.OutputStream
HiveContext.runHive ( String cmd, int maxRows ) :  scala.collection.Seq<String>
HiveContext.sessionState ( ) :  org.apache.hadoop.hive.ql.session.SessionState
HiveContext.sql ( String sqlText ) :  org.apache.spark.sql.DataFrame

spark-sql_2.10-1.3.0.jar, Column.class
package org.apache.spark.sql
Column.apply ( catalyst.expressions.Expression p1 ) [static] :  Column
Column.apply ( String p1 ) [static] :  Column
Column.getItem ( int ordinal ) :  Column

spark-sql_2.10-1.3.0.jar, GroupedData.class
package org.apache.spark.sql
GroupedData.GroupedData ( DataFrame df, scala.collection.Seq<catalyst.expressions.Expression> groupingExprs )

spark-sql_2.10-1.3.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.cacheManager ( ) :  CacheManager
SQLContext.checkAnalysis ( ) :  catalyst.analysis.CheckAnalysis
SQLContext.createDataFrame ( org.apache.spark.api.java.JavaRDD<Row> rowRDD, java.util.List<String> columns ) :  DataFrame

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Removed Methods (89)

spark-hive_2.10-1.4.0.jar, HiveContext.class
package org.apache.spark.sql.hive
HiveContext.configure ( ) :  scala.collection.immutable.Map<String,String>
HiveContext.convertMetastoreParquetWithSchemaMerging ( ) :  boolean
HiveContext.createSession ( ) :  HiveContext.SQLSession
HiveContext.createSession ( ) :  org.apache.spark.sql.SQLContext.SQLSession
HiveContext.dialectClassName ( ) :  String
HiveContext.executionHive ( ) :  client.ClientWrapper
HiveContext.HIVE_METASTORE_JARS ( ) [static] :  String
HiveContext.HIVE_METASTORE_VERSION ( ) [static] :  String
HiveContext.hiveExecutionVersion ( ) [static] :  String
HiveContext.hiveMetastoreBarrierPrefixes ( ) :  scala.collection.Seq<String>
HiveContext.hiveMetastoreJars ( ) :  String
HiveContext.hiveMetastoreSharedPrefixes ( ) :  scala.collection.Seq<String>
HiveContext.hiveMetastoreVersion ( ) :  String
HiveContext.metadataHive ( ) :  client.ClientInterface
HiveContext.newTemporaryConfiguration ( ) [static] :  scala.collection.immutable.Map<String,String>
HiveContext.substitutor ( ) :  org.apache.hadoop.hive.ql.parse.VariableSubstitution

spark-hive_2.10-1.4.0.jar, HiveFunctionWrapper.class
package org.apache.spark.sql.hive
HiveFunctionWrapper.deserializeObjectByKryo ( com.esotericsoftware.kryo.Kryo kryo, java.io.InputStream in, Class<?> clazz, scala.reflect.ClassTag<T> p4 ) :  T
HiveFunctionWrapper.serializeObjectByKryo ( com.esotericsoftware.kryo.Kryo kryo, Object plan, java.io.OutputStream out ) :  void

spark-hive_2.10-1.4.0.jar, HiveGenericUdtf.class
package org.apache.spark.sql.hive
HiveGenericUdtf.HiveGenericUdtf ( HiveFunctionWrapper funcWrapper, scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression> children )

spark-sql_2.10-1.4.0.jar, Column.class
package org.apache.spark.sql
Column.alias ( String alias ) :  Column
Column.apply ( Object extraction ) :  Column
Column.as ( scala.collection.Seq<String> aliases ) :  Column
Column.as ( String alias, types.Metadata metadata ) :  Column
Column.as ( String[ ] aliases ) :  Column
Column.between ( Object lowerBound, Object upperBound ) :  Column
Column.bitwiseAND ( Object other ) :  Column
Column.bitwiseOR ( Object other ) :  Column
Column.bitwiseXOR ( Object other ) :  Column
Column.equals ( Object that ) :  boolean
Column.getItem ( Object key ) :  Column
Column.hashCode ( ) :  int
Column.isTraceEnabled ( ) :  boolean
Column.log ( ) :  org.slf4j.Logger
Column.logDebug ( scala.Function0<String> msg ) :  void
Column.logDebug ( scala.Function0<String> msg, Throwable throwable ) :  void
Column.logError ( scala.Function0<String> msg ) :  void
Column.logError ( scala.Function0<String> msg, Throwable throwable ) :  void
Column.logInfo ( scala.Function0<String> msg ) :  void
Column.logInfo ( scala.Function0<String> msg, Throwable throwable ) :  void
Column.logName ( ) :  String
Column.logTrace ( scala.Function0<String> msg ) :  void
Column.logTrace ( scala.Function0<String> msg, Throwable throwable ) :  void
Column.logWarning ( scala.Function0<String> msg ) :  void
Column.logWarning ( scala.Function0<String> msg, Throwable throwable ) :  void
Column.org.apache.spark.Logging..log_ ( ) :  org.slf4j.Logger
Column.org.apache.spark.Logging..log__.eq ( org.slf4j.Logger p1 ) :  void
Column.otherwise ( Object value ) :  Column
Column.over ( expressions.WindowSpec window ) :  Column
Column.when ( Column condition, Object value ) :  Column

spark-sql_2.10-1.4.0.jar, DataFrame.class
package org.apache.spark.sql
DataFrame.coalesce ( int numPartitions ) :  DataFrame
DataFrame.cube ( Column... cols ) :  GroupedData
DataFrame.cube ( scala.collection.Seq<Column> cols ) :  GroupedData
DataFrame.cube ( String col1, scala.collection.Seq<String> cols ) :  GroupedData
DataFrame.cube ( String col1, String... cols ) :  GroupedData
DataFrame.describe ( scala.collection.Seq<String> cols ) :  DataFrame
DataFrame.describe ( String... cols ) :  DataFrame
DataFrame.drop ( String colName ) :  DataFrame
DataFrame.dropDuplicates ( ) :  DataFrame
DataFrame.dropDuplicates ( scala.collection.Seq<String> colNames ) :  DataFrame
DataFrame.dropDuplicates ( String[ ] colNames ) :  DataFrame
DataFrame.join ( DataFrame right, String usingColumn ) :  DataFrame
DataFrame.na ( ) :  DataFrameNaFunctions
DataFrame.DataFrame..logicalPlanToDataFrame ( catalyst.plans.logical.LogicalPlan logicalPlan ) :  DataFrame
DataFrame.randomSplit ( double[ ] weights ) :  DataFrame[ ]
DataFrame.randomSplit ( double[ ] weights, long seed ) :  DataFrame[ ]
DataFrame.randomSplit ( scala.collection.immutable.List<Object> weights, long seed ) :  DataFrame[ ]
DataFrame.rollup ( Column... cols ) :  GroupedData
DataFrame.rollup ( scala.collection.Seq<Column> cols ) :  GroupedData
DataFrame.rollup ( String col1, scala.collection.Seq<String> cols ) :  GroupedData
DataFrame.rollup ( String col1, String... cols ) :  GroupedData
DataFrame.stat ( ) :  DataFrameStatFunctions
DataFrame.write ( ) :  DataFrameWriter

spark-sql_2.10-1.4.0.jar, GroupedData.class
package org.apache.spark.sql
GroupedData.apply ( DataFrame p1, scala.collection.Seq<catalyst.expressions.Expression> p2, GroupedData.GroupType p3 ) [static] :  GroupedData
GroupedData.GroupedData ( DataFrame df, scala.collection.Seq<catalyst.expressions.Expression> groupingExprs, GroupedData.GroupType groupType )

spark-sql_2.10-1.4.0.jar, SQLConf.class
package org.apache.spark.sql
SQLConf.dataFrameRetainGroupColumns ( ) :  boolean

spark-sql_2.10-1.4.0.jar, SQLContext.class
package org.apache.spark.sql
SQLContext.cacheManager ( ) :  execution.CacheManager
SQLContext.createDataFrame ( org.apache.spark.rdd.RDD<Row> rowRDD, types.StructType schema, boolean needsConversion ) :  DataFrame
SQLContext.createSession ( ) :  SQLContext.SQLSession
SQLContext.currentSession ( ) :  SQLContext.SQLSession
SQLContext.defaultSession ( ) :  SQLContext.SQLSession
SQLContext.detachSession ( ) :  void
SQLContext.dialectClassName ( ) :  String
SQLContext.getOrCreate ( org.apache.spark.SparkContext p1 ) [static] :  SQLContext
SQLContext.getSQLDialect ( ) :  catalyst.ParserDialect
SQLContext.openSession ( ) :  SQLContext.SQLSession
SQLContext.range ( long start, long end ) :  DataFrame
SQLContext.range ( long start, long end, long step, int numPartitions ) :  DataFrame
SQLContext.read ( ) :  DataFrameReader
SQLContext.tlSession ( ) :  ThreadLocal<SQLContext.SQLSession>

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Problems with Data Types, High Severity (3)

	Change	Effect
1	Removed super-interface org.apache.spark.Logging.	A client program may be interrupted by NoSuchMethodError exception.

	Change	Effect
1	Removed super-interface catalyst.CatalystConf.	A client program may be interrupted by NoSuchMethodError exception.

	Change	Effect
1	Removed super-interface org.apache.spark.sql.types.DataTypeParser.	A client program may be interrupted by NoSuchMethodError exception.

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

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

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Problems with Data Types, Low Severity (3)

	Change	Effect
1	Method parseSql ( java.lang.String ) has been moved up type hierarchy to parseSql ( java.lang.String )	Method parseSql ( java.lang.String ) will be called instead of parseSql ( java.lang.String ) in a client program.
2	Method conf ( ) has been overridden by conf ( )	Method conf ( ) will be called instead of conf ( ) in a client program.
3	Method sql ( java.lang.String ) has been overridden by sql ( java.lang.String )	Method sql ( java.lang.String ) will be called instead of sql ( java.lang.String ) in a client program.

spark-hive_2.10-1.4.0.jar
package org.apache.spark.sql.hive
[+] HiveContext (3)

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Java ARchives (3)

spark-hive_2.10-1.4.0.jar
spark-mllib_2.10-1.4.0.jar
spark-sql_2.10-1.4.0.jar

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Generated on Tue Aug 18 12:55:41 2015 for hivemall-spark-0.0.4 by Java API Compliance Checker 1.4.1
A tool for checking backward compatibility of a Java library API