Binary compatibility report for the spark-avro_2.10-2.0.1 library  between 1.4.0 and 1.3.0 versions   (relating to the portability of client application spark-avro_2.10-2.0.1.jar)

Test Info


Library Namespark-avro_2.10-2.0.1
Version #11.4.0
Version #21.3.0
Java Version1.7.0_75

Test Results


Total Java ARchives2
Total Methods / Classes162 / 2470
VerdictIncompatible
(45.7%)

Problem Summary


SeverityCount
Added Methods-3
Removed MethodsHigh72
Problems with
Data Types
High8
Medium0
Low0
Problems with
Methods
High0
Medium0
Low0

Added Methods (3)


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 (72)


spark-sql_2.10-1.4.0.jar, DataFrameReader.class
package org.apache.spark.sql
DataFrameReader.DataFrameReader ( SQLContext sqlContext )
DataFrameReader.format ( String source )  :  DataFrameReader
DataFrameReader.jdbc ( String url, String table, java.util.Properties properties )  :  DataFrame
DataFrameReader.jdbc ( String url, String table, String columnName, long lowerBound, long upperBound, int numPartitions, java.util.Properties connectionProperties )  :  DataFrame
DataFrameReader.jdbc ( String url, String table, String[ ] predicates, java.util.Properties connectionProperties )  :  DataFrame
DataFrameReader.json ( org.apache.spark.api.java.JavaRDD<String> jsonRDD )  :  DataFrame
DataFrameReader.json ( org.apache.spark.rdd.RDD<String> jsonRDD )  :  DataFrame
DataFrameReader.json ( String path )  :  DataFrame
DataFrameReader.load ( )  :  DataFrame
DataFrameReader.load ( String path )  :  DataFrame
DataFrameReader.option ( String key, String value )  :  DataFrameReader
DataFrameReader.options ( java.util.Map<String,String> options )  :  DataFrameReader
DataFrameReader.options ( scala.collection.Map<String,String> options )  :  DataFrameReader
DataFrameReader.parquet ( scala.collection.Seq<String> paths )  :  DataFrame
DataFrameReader.parquet ( String... paths )  :  DataFrame
DataFrameReader.schema ( types.StructType schema )  :  DataFrameReader
DataFrameReader.table ( String tableName )  :  DataFrame

spark-sql_2.10-1.4.0.jar, DataFrameWriter.class
package org.apache.spark.sql
DataFrameWriter.DataFrameWriter ( DataFrame df )
DataFrameWriter.format ( String source )  :  DataFrameWriter
DataFrameWriter.insertInto ( String tableName )  :  void
DataFrameWriter.jdbc ( String url, String table, java.util.Properties connectionProperties )  :  void
DataFrameWriter.json ( String path )  :  void
DataFrameWriter.mode ( SaveMode saveMode )  :  DataFrameWriter
DataFrameWriter.mode ( String saveMode )  :  DataFrameWriter
DataFrameWriter.option ( String key, String value )  :  DataFrameWriter
DataFrameWriter.options ( java.util.Map<String,String> options )  :  DataFrameWriter
DataFrameWriter.options ( scala.collection.Map<String,String> options )  :  DataFrameWriter
DataFrameWriter.parquet ( String path )  :  void
DataFrameWriter.partitionBy ( scala.collection.Seq<String> colNames )  :  DataFrameWriter
DataFrameWriter.partitionBy ( String... colNames )  :  DataFrameWriter
DataFrameWriter.save ( )  :  void
DataFrameWriter.save ( String path )  :  void
DataFrameWriter.saveAsTable ( String tableName )  :  void

spark-sql_2.10-1.4.0.jar, HadoopFsRelation.class
package org.apache.spark.sql.sources
HadoopFsRelation.buildScan ( org.apache.hadoop.fs.FileStatus[ ] inputFiles )  :  org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
HadoopFsRelation.buildScan ( String[ ] requiredColumns, org.apache.hadoop.fs.FileStatus[ ] inputFiles )  :  org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
HadoopFsRelation.buildScan ( String[ ] requiredColumns, Filter[ ] filters, org.apache.hadoop.fs.FileStatus[ ] inputFiles )  :  org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
HadoopFsRelation.buildScan ( String[ ] requiredColumns, Filter[ ] filters, org.apache.hadoop.fs.FileStatus[ ] inputFiles, org.apache.spark.broadcast.Broadcast<org.apache.spark.SerializableWritable<org.apache.hadoop.conf.Configuration>> broadcastedConf )  :  org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
HadoopFsRelation.buildScan ( String[ ] requiredColumns, Filter[ ] filters, String[ ] inputPaths, org.apache.spark.broadcast.Broadcast<org.apache.spark.SerializableWritable<org.apache.hadoop.conf.Configuration>> broadcastedConf )  :  org.apache.spark.rdd.RDD<org.apache.spark.sql.Row>
HadoopFsRelation.cachedLeafStatuses ( )  :  scala.collection.immutable.Set<org.apache.hadoop.fs.FileStatus>
HadoopFsRelation.dataSchema ( ) [abstract]  :  org.apache.spark.sql.types.StructType
HadoopFsRelation.HadoopFsRelation ( )
HadoopFsRelation.HadoopFsRelation ( scala.Option<PartitionSpec> maybePartitionSpec )
HadoopFsRelation.HadoopFsRelation..discoverPartitions ( )  :  PartitionSpec
HadoopFsRelation.HadoopFsRelation..fileStatusCache ( )  :  HadoopFsRelation.FileStatusCache
HadoopFsRelation.HadoopFsRelation..hadoopConf ( )  :  org.apache.hadoop.conf.Configuration
HadoopFsRelation.partitionColumns ( )  :  org.apache.spark.sql.types.StructType
HadoopFsRelation.partitionSpec ( )  :  PartitionSpec
HadoopFsRelation.paths ( ) [abstract]  :  String[ ]
HadoopFsRelation.prepareJobForWrite ( org.apache.hadoop.mapreduce.Job p1 ) [abstract]  :  OutputWriterFactory
HadoopFsRelation.refresh ( )  :  void
HadoopFsRelation.schema ( )  :  org.apache.spark.sql.types.StructType
HadoopFsRelation.userDefinedPartitionColumns ( )  :  scala.Option<org.apache.spark.sql.types.StructType>

spark-sql_2.10-1.4.0.jar, HadoopFsRelationProvider.class
package org.apache.spark.sql.sources
HadoopFsRelationProvider.createRelation ( org.apache.spark.sql.SQLContext p1, String[ ] p2, scala.Option<org.apache.spark.sql.types.StructType> p3, scala.Option<org.apache.spark.sql.types.StructType> p4, scala.collection.immutable.Map<String,String> p5 ) [abstract]  :  HadoopFsRelation

spark-sql_2.10-1.4.0.jar, OutputWriter.class
package org.apache.spark.sql.sources
OutputWriter.close ( ) [abstract]  :  void
OutputWriter.OutputWriter ( )
OutputWriter.write ( org.apache.spark.sql.Row p1 ) [abstract]  :  void

spark-sql_2.10-1.4.0.jar, OutputWriterFactory.class
package org.apache.spark.sql.sources
OutputWriterFactory.newInstance ( String p1, org.apache.spark.sql.types.StructType p2, org.apache.hadoop.mapreduce.TaskAttemptContext p3 ) [abstract]  :  OutputWriter
OutputWriterFactory.OutputWriterFactory ( )

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 (8)


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

package org.apache.spark.sql.sources
[+] DDLParser (1)
[+] HadoopFsRelation (1)
[+] HadoopFsRelationProvider (1)
[+] OutputWriter (1)
[+] OutputWriterFactory (1)

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Java ARchives (2)


spark-core_2.10-1.4.0.jar
spark-sql_2.10-1.4.0.jar

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Generated on Tue Sep 8 22:43:32 2015 for spark-avro_2.10-2.0.1 by Java API Compliance Checker 1.4.1  
A tool for checking backward compatibility of a Java library API