Binary compatibility report for the spark-xml-0.1.1-s_2.11 library between 1.5.0 and 1.3.0 versions (relating to the portability of client application spark-xml-0.1.1-s_2.11.jar)
Test Info
| Library Name | spark-xml-0.1.1-s_2.11 |
|---|
| Version #1 | 1.5.0 |
|---|
| Version #2 | 1.3.0 |
|---|
| Java Version | 1.7.0_85 |
|---|
Test Results
| Total Java ARchives | 2 |
|---|
| Total Methods / Classes | 426 / 2659 |
|---|
| Verdict | Incompatible
(21%) |
|---|
Problem Summary
| Severity | Count |
|---|
| Added Methods | - | 14 |
|---|
| Removed Methods | High | 79 |
|---|
Problems with
Data Types | High | 3 |
|---|
| Medium | 1 |
| Low | 1 |
Problems with
Methods | High | 0 |
|---|
| Medium | 0 |
| Low | 0 |
Added Methods (14)
spark-core_2.11-1.3.0.jar, SparkContext.class
package org.apache.spark
SparkContext.requestTotalExecutors ( int numExecutors ) : boolean
[mangled: org/apache/spark/SparkContext.requestTotalExecutors:(I)Z]
spark-sql_2.11-1.3.0.jar, DataFrame.class
package org.apache.spark.sql
DataFrame.cache ( ) : RDDApi
[mangled: org/apache/spark/sql/DataFrame.cache:()Lorg/apache/spark/sql/RDDApi;]
DataFrame.collect ( ) : Object
[mangled: org/apache/spark/sql/DataFrame.collect:()Ljava/lang/Object;]
DataFrame.first ( ) : Object
[mangled: org/apache/spark/sql/DataFrame.first:()Ljava/lang/Object;]
DataFrame.persist ( ) : RDDApi
[mangled: org/apache/spark/sql/DataFrame.persist:()Lorg/apache/spark/sql/RDDApi;]
DataFrame.persist ( org.apache.spark.storage.StorageLevel newLevel ) : RDDApi
[mangled: org/apache/spark/sql/DataFrame.persist:(Lorg/apache/spark/storage/StorageLevel;)Lorg/apache/spark/sql/RDDApi;]
DataFrame.showString ( int numRows ) : String
[mangled: org/apache/spark/sql/DataFrame.showString:(I)Ljava/lang/String;]
DataFrame.take ( int n ) : Object
[mangled: org/apache/spark/sql/DataFrame.take:(I)Ljava/lang/Object;]
DataFrame.unpersist ( ) : RDDApi
[mangled: org/apache/spark/sql/DataFrame.unpersist:()Lorg/apache/spark/sql/RDDApi;]
DataFrame.unpersist ( boolean blocking ) : RDDApi
[mangled: org/apache/spark/sql/DataFrame.unpersist:(Z)Lorg/apache/spark/sql/RDDApi;]
spark-sql_2.11-1.3.0.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;]
SQLContext.ddlParser ( ) : sources.DDLParser
[mangled: org/apache/spark/sql/SQLContext.ddlParser:()Lorg/apache/spark/sql/sources/DDLParser;]
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Removed Methods (79)
spark-core_2.11-1.5.0.jar, SparkContext.class
package org.apache.spark
SparkContext.applicationAttemptId ( ) : scala.Option<String>
[mangled: org/apache/spark/SparkContext.applicationAttemptId:()Lscala/Option;]
SparkContext.externalBlockStoreFolderName ( ) : String
[mangled: org/apache/spark/SparkContext.externalBlockStoreFolderName:()Ljava/lang/String;]
SparkContext.getOrCreate ( ) [static] : SparkContext
[mangled: org/apache/spark/SparkContext.getOrCreate:()Lorg/apache/spark/SparkContext;]
SparkContext.getOrCreate ( SparkConf p1 ) [static] : SparkContext
[mangled: org/apache/spark/SparkContext.getOrCreate:(Lorg/apache/spark/SparkConf;)Lorg/apache/spark/SparkContext;]
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.._conf ( ) : SparkConf
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._conf:()Lorg/apache/spark/SparkConf;]
SparkContext.SparkContext.._dagScheduler ( ) : scheduler.DAGScheduler
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._dagScheduler:()Lorg/apache/spark/scheduler/DAGScheduler;]
SparkContext.SparkContext.._env ( ) : SparkEnv
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext.._env:()Lorg/apache/spark/SparkEnv;]
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..assertNotStopped ( ) : void
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext..assertNotStopped:()V]
SparkContext.SparkContext..postApplicationEnd ( ) : void
[mangled: org/apache/spark/SparkContext.org.apache.spark.SparkContext..postApplicationEnd:()V]
SparkContext.range ( long start, long end, long step, int numSlices ) : rdd.RDD<Object>
[mangled: org/apache/spark/SparkContext.range:(JJJI)Lorg/apache/spark/rdd/RDD;]
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;]
SparkContext.setLogLevel ( String logLevel ) : void
[mangled: org/apache/spark/SparkContext.setLogLevel:(Ljava/lang/String;)V]
SparkContext.withScope ( scala.Function0<U> body ) : U
[mangled: org/apache/spark/SparkContext.withScope:(Lscala/Function0;)Ljava/lang/Object;]
spark-sql_2.11-1.5.0.jar, BaseRelation.class
package org.apache.spark.sql.sources
BaseRelation.needConversion ( ) : boolean
[mangled: org/apache/spark/sql/sources/BaseRelation.needConversion:()Z]
spark-sql_2.11-1.5.0.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 ( Column col ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.drop:(Lorg/apache/spark/sql/Column;)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.inputFiles ( ) : String[ ]
[mangled: org/apache/spark/sql/DataFrame.inputFiles:()[Ljava/lang/String;]
DataFrame.join ( DataFrame right, scala.collection.Seq<String> usingColumns ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.join:(Lorg/apache/spark/sql/DataFrame;Lscala/collection/Seq;)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.show ( boolean truncate ) : void
[mangled: org/apache/spark/sql/DataFrame.show:(Z)V]
DataFrame.show ( int numRows, boolean truncate ) : void
[mangled: org/apache/spark/sql/DataFrame.show:(IZ)V]
DataFrame.showString ( int _numRows, boolean truncate ) : String
[mangled: org/apache/spark/sql/DataFrame.showString:(IZ)Ljava/lang/String;]
DataFrame.stat ( ) : DataFrameStatFunctions
[mangled: org/apache/spark/sql/DataFrame.stat:()Lorg/apache/spark/sql/DataFrameStatFunctions;]
DataFrame.where ( String conditionExpr ) : DataFrame
[mangled: org/apache/spark/sql/DataFrame.where:(Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;]
DataFrame.withNewExecutionId ( scala.Function0<T> body ) : T
[mangled: org/apache/spark/sql/DataFrame.withNewExecutionId:(Lscala/Function0;)Ljava/lang/Object;]
DataFrame.write ( ) : DataFrameWriter
[mangled: org/apache/spark/sql/DataFrame.write:()Lorg/apache/spark/sql/DataFrameWriter;]
spark-sql_2.11-1.5.0.jar, DataSourceRegister.class
package org.apache.spark.sql.sources
DataSourceRegister.shortName ( ) [abstract] : String
[mangled: org/apache/spark/sql/sources/DataSourceRegister.shortName:()Ljava/lang/String;]
spark-sql_2.11-1.5.0.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.ddlParser ( ) : execution.datasources.DDLParser
[mangled: org/apache/spark/sql/SQLContext.ddlParser:()Lorg/apache/spark/sql/execution/datasources/DDLParser;]
SQLContext.defaultSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.defaultSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.detachSession ( ) : void
[mangled: org/apache/spark/sql/SQLContext.detachSession:()V]
SQLContext.dialectClassName ( ) : String
[mangled: org/apache/spark/sql/SQLContext.dialectClassName:()Ljava/lang/String;]
SQLContext.getConf ( SQLConf.SQLConfEntry<T> entry ) : T
[mangled: org/apache/spark/sql/SQLContext.getConf:(Lorg/apache/spark/sql/SQLConf$SQLConfEntry;)Ljava/lang/Object;]
SQLContext.getConf ( SQLConf.SQLConfEntry<T> entry, T defaultValue ) : T
[mangled: org/apache/spark/sql/SQLContext.getConf:(Lorg/apache/spark/sql/SQLConf$SQLConfEntry;Ljava/lang/Object;)Ljava/lang/Object;]
SQLContext.getOrCreate ( org.apache.spark.SparkContext p1 ) [static] : SQLContext
[mangled: org/apache/spark/sql/SQLContext.getOrCreate:(Lorg/apache/spark/SparkContext;)Lorg/apache/spark/sql/SQLContext;]
SQLContext.getSQLDialect ( ) : catalyst.ParserDialect
[mangled: org/apache/spark/sql/SQLContext.getSQLDialect:()Lorg/apache/spark/sql/catalyst/ParserDialect;]
SQLContext.internalCreateDataFrame ( org.apache.spark.rdd.RDD<catalyst.InternalRow> catalystRows, types.StructType schema ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.internalCreateDataFrame:(Lorg/apache/spark/rdd/RDD;Lorg/apache/spark/sql/types/StructType;)Lorg/apache/spark/sql/DataFrame;]
SQLContext.listener ( ) : execution.ui.SQLListener
[mangled: org/apache/spark/sql/SQLContext.listener:()Lorg/apache/spark/sql/execution/ui/SQLListener;]
SQLContext.openSession ( ) : SQLContext.SQLSession
[mangled: org/apache/spark/sql/SQLContext.openSession:()Lorg/apache/spark/sql/SQLContext$SQLSession;]
SQLContext.range ( long end ) : DataFrame
[mangled: org/apache/spark/sql/SQLContext.range:(J)Lorg/apache/spark/sql/DataFrame;]
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.setConf ( SQLConf.SQLConfEntry<T> entry, T value ) : void
[mangled: org/apache/spark/sql/SQLContext.setConf:(Lorg/apache/spark/sql/SQLConf$SQLConfEntry;Ljava/lang/Object;)V]
SQLContext.setSession ( SQLContext.SQLSession session ) : void
[mangled: org/apache/spark/sql/SQLContext.setSession:(Lorg/apache/spark/sql/SQLContext$SQLSession;)V]
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 (3)
spark-sql_2.11-1.5.0.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'.
[+] 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.sources
[+] DataSourceRegister (1)
| Change | Effect |
|---|
| 1 | This interface has been removed. | A client program may be interrupted by NoClassDefFoundError exception. |
|---|
[+] affected methods (1)
shortName ( )This abstract method is from 'DataSourceRegister' interface.
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Problems with Data Types, Medium Severity (1)
spark-sql_2.11-1.5.0.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_2.11-1.5.0.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 (111)
agg ( java.util.Map<java.lang.String,java.lang.String> )This method is from 'DataFrame' class.
agg ( Column, Column... )This method is from 'DataFrame' class.
agg ( Column, scala.collection.Seq<Column> )This method is from 'DataFrame' class.
agg ( scala.collection.immutable.Map<java.lang.String,java.lang.String> )This method is from 'DataFrame' class.
agg ( scala.Tuple2<java.lang.String,java.lang.String>, scala.collection.Seq<scala.Tuple2<java.lang.String,java.lang.String>> )This method is from 'DataFrame' class.
apply ( java.lang.String )This method is from 'DataFrame' class.
as ( java.lang.String )This method is from 'DataFrame' class.
as ( scala.Symbol )This method is from 'DataFrame' class.
cache ( )This method is from 'DataFrame' class.
col ( java.lang.String )This method is from 'DataFrame' class.
collect ( )This method is from 'DataFrame' class.
collectAsList ( )This method is from 'DataFrame' class.
columns ( )This method is from 'DataFrame' class.
count ( )This method is from 'DataFrame' class.
DataFrame ( SQLContext, catalyst.plans.logical.LogicalPlan )This constructor is from 'DataFrame' class.
DataFrame ( SQLContext, SQLContext.QueryExecution )This constructor is from 'DataFrame' class.
distinct ( )This method is from 'DataFrame' class.
dtypes ( )This method is from 'DataFrame' class.
except ( DataFrame )1st parameter 'other' of this method has type 'DataFrame'.
explain ( )This method is from 'DataFrame' class.
explain ( boolean )This method is from 'DataFrame' class.
explode ( java.lang.String, java.lang.String, scala.Function1<A,scala.collection.TraversableOnce<B>>, scala.reflect.api.TypeTags.TypeTag<B> )This method is from 'DataFrame' class.
explode ( scala.collection.Seq<Column>, scala.Function1<Row,scala.collection.TraversableOnce<A>>, scala.reflect.api.TypeTags.TypeTag<A> )This method is from 'DataFrame' class.
filter ( java.lang.String )This method is from 'DataFrame' class.
filter ( Column )This method is from 'DataFrame' class.
first ( )This method is from 'DataFrame' class.
flatMap ( scala.Function1<Row,scala.collection.TraversableOnce<R>>, scala.reflect.ClassTag<R> )This method is from 'DataFrame' class.
foreach ( scala.Function1<Row,scala.runtime.BoxedUnit> )This method is from 'DataFrame' class.
foreachPartition ( scala.Function1<scala.collection.Iterator<Row>,scala.runtime.BoxedUnit> )This method is from 'DataFrame' class.
groupBy ( java.lang.String, java.lang.String... )This method is from 'DataFrame' class.
groupBy ( java.lang.String, scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
groupBy ( Column... )This method is from 'DataFrame' class.
groupBy ( scala.collection.Seq<Column> )This method is from 'DataFrame' class.
head ( )This method is from 'DataFrame' class.
head ( int )This method is from 'DataFrame' class.
intersect ( DataFrame )1st parameter 'other' of this method has type 'DataFrame'.
isLocal ( )This method is from 'DataFrame' class.
javaRDD ( )This method is from 'DataFrame' class.
javaToPython ( )This method is from 'DataFrame' class.
join ( DataFrame )This method is from 'DataFrame' class.
join ( DataFrame, Column )This method is from 'DataFrame' class.
join ( DataFrame, Column, java.lang.String )This method is from 'DataFrame' class.
limit ( int )This method is from 'DataFrame' class.
logicalPlan ( )This method is from 'DataFrame' class.
map ( scala.Function1<Row,R>, scala.reflect.ClassTag<R> )This method is from 'DataFrame' class.
mapPartitions ( scala.Function1<scala.collection.Iterator<Row>,scala.collection.Iterator<R>>, scala.reflect.ClassTag<R> )This method is from 'DataFrame' class.
numericColumns ( )This method is from 'DataFrame' class.
orderBy ( java.lang.String, java.lang.String... )This method is from 'DataFrame' class.
orderBy ( java.lang.String, scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
orderBy ( Column... )This method is from 'DataFrame' class.
orderBy ( scala.collection.Seq<Column> )This method is from 'DataFrame' class.
persist ( )This method is from 'DataFrame' class.
persist ( org.apache.spark.storage.StorageLevel )This method is from 'DataFrame' class.
printSchema ( )This method is from 'DataFrame' class.
queryExecution ( )This method is from 'DataFrame' class.
rdd ( )This method is from 'DataFrame' class.
registerTempTable ( java.lang.String )This method is from 'DataFrame' class.
repartition ( int )This method is from 'DataFrame' class.
resolve ( java.lang.String )This method is from 'DataFrame' class.
sample ( boolean, double )This method is from 'DataFrame' class.
sample ( boolean, double, long )This method is from 'DataFrame' class.
schema ( )This method is from 'DataFrame' class.
select ( java.lang.String, java.lang.String... )This method is from 'DataFrame' class.
select ( java.lang.String, scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
select ( Column... )This method is from 'DataFrame' class.
select ( scala.collection.Seq<Column> )This method is from 'DataFrame' class.
selectExpr ( java.lang.String... )This method is from 'DataFrame' class.
selectExpr ( scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
show ( )This method is from 'DataFrame' class.
show ( int )This method is from 'DataFrame' class.
sort ( java.lang.String, java.lang.String... )This method is from 'DataFrame' class.
sort ( java.lang.String, scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
sort ( Column... )This method is from 'DataFrame' class.
sort ( scala.collection.Seq<Column> )This method is from 'DataFrame' class.
sqlContext ( )This method is from 'DataFrame' class.
take ( int )This method is from 'DataFrame' class.
toDF ( )This method is from 'DataFrame' class.
toDF ( java.lang.String... )This method is from 'DataFrame' class.
toDF ( scala.collection.Seq<java.lang.String> )This method is from 'DataFrame' class.
toJavaRDD ( )This method is from 'DataFrame' class.
toJSON ( )This method is from 'DataFrame' class.
toString ( )This method is from 'DataFrame' class.
unionAll ( DataFrame )1st parameter 'other' of this method has type 'DataFrame'.
unpersist ( )This method is from 'DataFrame' class.
unpersist ( boolean )This method is from 'DataFrame' class.
where ( Column )This method is from 'DataFrame' class.
withColumn ( java.lang.String, Column )This method is from 'DataFrame' class.
withColumnRenamed ( java.lang.String, java.lang.String )This method is from 'DataFrame' class.
createRelation ( SQLContext, SaveMode, scala.collection.immutable.Map<java.lang.String,java.lang.String>, DataFrame )4th parameter 'p4' of this abstract method has type 'DataFrame'.
applySchemaToPythonRDD ( org.apache.spark.rdd.RDD<java.lang.Object[ ]>, java.lang.String )Return value of this method has type 'DataFrame'.
applySchemaToPythonRDD ( org.apache.spark.rdd.RDD<java.lang.Object[ ]>, types.StructType )Return value of this method has type 'DataFrame'.
baseRelationToDataFrame ( sources.BaseRelation )Return value of this method has type 'DataFrame'.
createDataFrame ( org.apache.spark.api.java.JavaRDD<?>, java.lang.Class<?> )Return value of this method has type 'DataFrame'.
createDataFrame ( org.apache.spark.api.java.JavaRDD<Row>, types.StructType )Return value of this method has type 'DataFrame'.
createDataFrame ( org.apache.spark.rdd.RDD<?>, java.lang.Class<?> )Return value of this method has type 'DataFrame'.
createDataFrame ( org.apache.spark.rdd.RDD<A>, scala.reflect.api.TypeTags.TypeTag<A> )Return value of this method has type 'DataFrame'.
createDataFrame ( org.apache.spark.rdd.RDD<Row>, types.StructType )Return value of this method has type 'DataFrame'.
createDataFrame ( scala.collection.Seq<A>, scala.reflect.api.TypeTags.TypeTag<A> )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String, java.lang.String )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String, java.util.Map<java.lang.String,java.lang.String> )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String, types.StructType, java.util.Map<java.lang.String,java.lang.String> )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String, types.StructType, scala.collection.immutable.Map<java.lang.String,java.lang.String> )Return value of this method has type 'DataFrame'.
createExternalTable ( java.lang.String, java.lang.String, scala.collection.immutable.Map<java.lang.String,java.lang.String> )Return value of this method has type 'DataFrame'.
emptyDataFrame ( )Return value of this method has type 'DataFrame'.
parquetFile ( java.lang.String... )Return value of this method has type 'DataFrame'.
registerDataFrameAsTable ( DataFrame, java.lang.String )1st parameter 'df' of this method has type 'DataFrame'.
sql ( java.lang.String )Return value of this method has type 'DataFrame'.
table ( java.lang.String )Return value of this method has type 'DataFrame'.
tables ( )Return value of this method has type 'DataFrame'.
tables ( java.lang.String )Return value of this method has type 'DataFrame'.
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Java ARchives (2)
spark-core_2.11-1.5.0.jar
spark-sql_2.11-1.5.0.jar
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Generated on Thu Nov 19 02:58:49 2015 for spark-xml-0.1.1-s_2.11 by Java API Compliance Checker 1.4.1
A tool for checking backward compatibility of a Java library API