Uses of Class
org.apache.hadoop.mapred.JobConf

Packages that use JobConf
org.apache.hadoop.mapred   
org.apache.hadoop.mapred.jobcontrol   
org.apache.hadoop.mapred.join   
org.apache.hadoop.mapred.lib   
org.apache.hadoop.mapred.lib.aggregate   
org.apache.hadoop.mapred.lib.db   
org.apache.hadoop.mapred.pipes   
org.apache.hadoop.mapreduce.security   
 

Uses of JobConf in org.apache.hadoop.mapred
 

Methods in org.apache.hadoop.mapred that return JobConf
 JobConf TaskAttemptContext.getJobConf()
           
 JobConf JobContext.getJobConf()
          Get the job Configuration
 

Methods in org.apache.hadoop.mapred with parameters of type JobConf
static void FileInputFormat.addInputPath(JobConf conf, Path path)
          Add a Path to the list of inputs for the map-reduce job.
static void FileInputFormat.addInputPaths(JobConf conf, String commaSeparatedPaths)
          Add the given comma separated paths to the list of inputs for the map-reduce job.
 void FileOutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
           
 void OutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
          Check for validity of the output-specification for the job.
 void SequenceFileAsBinaryOutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
           
 void KeyValueTextInputFormat.configure(JobConf conf)
           
 void MapReduceBase.configure(JobConf job)
          Default implementation that does nothing.
 void TextInputFormat.configure(JobConf conf)
           
 void FixedLengthInputFormat.configure(JobConf conf)
           
 void JobConfigurable.configure(JobConf job)
          Initializes a new instance from a JobConf.
 void MapRunner.configure(JobConf job)
           
static boolean FileOutputFormat.getCompressOutput(JobConf conf)
          Is the job output compressed?
static PathFilter FileInputFormat.getInputPathFilter(JobConf conf)
          Get a PathFilter instance of the filter set for the input paths.
static Path[] FileInputFormat.getInputPaths(JobConf conf)
          Get the list of input Paths for the map-reduce job.
static org.apache.hadoop.io.SequenceFile.CompressionType SequenceFileOutputFormat.getOutputCompressionType(JobConf conf)
          Get the SequenceFile.CompressionType for the output SequenceFile.
static Class<? extends CompressionCodec> FileOutputFormat.getOutputCompressorClass(JobConf conf, Class<? extends CompressionCodec> defaultValue)
          Get the CompressionCodec for compressing the job outputs.
static Path FileOutputFormat.getOutputPath(JobConf conf)
          Get the Path to the output directory for the map-reduce job.
static Path FileOutputFormat.getPathForCustomFile(JobConf conf, String name)
          Helper function to generate a Path for a file that is unique for the task within the job output directory.
 RecordReader<Text,Text> SequenceFileAsTextInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
abstract  RecordReader<K,V> MultiFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
 RecordReader<K,V> SequenceFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
 RecordReader<BytesWritable,BytesWritable> SequenceFileAsBinaryInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
 RecordReader<Text,Text> KeyValueTextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)
           
 RecordReader<K,V> InputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
          Get the RecordReader for the given InputSplit.
 RecordReader<K,V> SequenceFileInputFilter.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
          Create a record reader for the given split
 RecordReader<LongWritable,Text> TextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)
           
 RecordReader<LongWritable,BytesWritable> FixedLengthInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)
           
abstract  RecordReader<K,V> FileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
 RecordWriter<K,V> SequenceFileOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
abstract  RecordWriter<K,V> FileOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 RecordWriter<K,V> OutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
          Get the RecordWriter for the given job.
 RecordWriter<BytesWritable,BytesWritable> SequenceFileAsBinaryOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 RecordWriter<WritableComparable,Writable> MapFileOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 RecordWriter<K,V> TextOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
static Class<? extends WritableComparable> SequenceFileAsBinaryOutputFormat.getSequenceFileOutputKeyClass(JobConf conf)
          Get the key class for the SequenceFile
static Class<? extends Writable> SequenceFileAsBinaryOutputFormat.getSequenceFileOutputValueClass(JobConf conf)
          Get the value class for the SequenceFile
 InputSplit[] MultiFileInputFormat.getSplits(JobConf job, int numSplits)
           
 InputSplit[] InputFormat.getSplits(JobConf job, int numSplits)
          Logically split the set of input files for the job.
 InputSplit[] FileInputFormat.getSplits(JobConf job, int numSplits)
          Splits files returned by FileInputFormat.listStatus(JobConf) when they're too big.
static org.apache.hadoop.mapred.JobClient.TaskStatusFilter JobClient.getTaskOutputFilter(JobConf job)
          Get the task output filter out of the JobConf.
static Path FileOutputFormat.getTaskOutputPath(JobConf conf, String name)
          Helper function to create the task's temporary output directory and return the path to the task's output file.
static String FileOutputFormat.getUniqueName(JobConf conf, String name)
          Helper function to generate a name that is unique for the task.
static Path FileOutputFormat.getWorkOutputPath(JobConf conf)
          Get the Path to the task's temporary output directory for the map-reduce job

Tasks' Side-Effect Files

 void JobClient.init(JobConf conf)
          Connect to the default cluster
protected  FileStatus[] SequenceFileInputFormat.listStatus(JobConf job)
           
protected  FileStatus[] FileInputFormat.listStatus(JobConf job)
          List input directories.
 boolean JobClient.monitorAndPrintJob(JobConf conf, RunningJob job)
          Monitor a job and print status in real-time as progress is made and tasks fail.
static RunningJob JobClient.runJob(JobConf job)
          Utility that submits a job, then polls for progress until the job is complete.
static void FileOutputFormat.setCompressOutput(JobConf conf, boolean compress)
          Set whether the output of the job is compressed.
static void FileInputFormat.setInputPathFilter(JobConf conf, Class<? extends PathFilter> filter)
          Set a PathFilter to be applied to the input paths for the map-reduce job.
static void FileInputFormat.setInputPaths(JobConf conf, Path... inputPaths)
          Set the array of Paths as the list of inputs for the map-reduce job.
static void FileInputFormat.setInputPaths(JobConf conf, String commaSeparatedPaths)
          Sets the given comma separated paths as the list of inputs for the map-reduce job.
static void SequenceFileOutputFormat.setOutputCompressionType(JobConf conf, org.apache.hadoop.io.SequenceFile.CompressionType style)
          Set the SequenceFile.CompressionType for the output SequenceFile.
static void FileOutputFormat.setOutputCompressorClass(JobConf conf, Class<? extends CompressionCodec> codecClass)
          Set the CompressionCodec to be used to compress job outputs.
static void FileOutputFormat.setOutputPath(JobConf conf, Path outputDir)
          Set the Path of the output directory for the map-reduce job.
static void SequenceFileAsBinaryOutputFormat.setSequenceFileOutputKeyClass(JobConf conf, Class<?> theClass)
          Set the key class for the SequenceFile
static void SequenceFileAsBinaryOutputFormat.setSequenceFileOutputValueClass(JobConf conf, Class<?> theClass)
          Set the value class for the SequenceFile
static void SkipBadRecords.setSkipOutputPath(JobConf conf, Path path)
          Set the directory to which skipped records are written.
static void JobClient.setTaskOutputFilter(JobConf job, org.apache.hadoop.mapred.JobClient.TaskStatusFilter newValue)
          Modify the JobConf to set the task output filter.
static void FileOutputFormat.setWorkOutputPath(JobConf conf, Path outputDir)
          Set the Path of the task's temporary output directory for the map-reduce job.
 RunningJob JobClient.submitJob(JobConf conf)
          Submit a job to the MR system.
 RunningJob JobClient.submitJobInternal(JobConf conf)
           
 

Constructors in org.apache.hadoop.mapred with parameters of type JobConf
FileSplit(Path file, long start, long length, JobConf conf)
          Deprecated.  
JobClient(JobConf conf)
          Build a job client with the given JobConf, and connect to the default cluster
MultiFileSplit(JobConf job, Path[] files, long[] lengths)
           
 

Uses of JobConf in org.apache.hadoop.mapred.jobcontrol
 

Methods in org.apache.hadoop.mapred.jobcontrol that return JobConf
 JobConf Job.getJobConf()
           
 

Methods in org.apache.hadoop.mapred.jobcontrol with parameters of type JobConf
 void Job.setJobConf(JobConf jobConf)
          Set the mapred job conf for this job.
 

Constructors in org.apache.hadoop.mapred.jobcontrol with parameters of type JobConf
Job(JobConf conf)
           
Job(JobConf jobConf, ArrayList<?> dependingJobs)
          Construct a job.
 

Uses of JobConf in org.apache.hadoop.mapred.join
 

Methods in org.apache.hadoop.mapred.join with parameters of type JobConf
 ComposableRecordReader<K,TupleWritable> CompositeInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
          Construct a CompositeRecordReader for the children of this InputFormat as defined in the init expression.
 ComposableRecordReader<K,V> ComposableInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
           
 InputSplit[] CompositeInputFormat.getSplits(JobConf job, int numSplits)
          Build a CompositeInputSplit from the child InputFormats by assigning the ith split from each child to the ith composite split.
 void CompositeInputFormat.setFormat(JobConf job)
          Interpret a given string as a composite expression.
 

Constructors in org.apache.hadoop.mapred.join with parameters of type JobConf
JoinRecordReader(int id, JobConf conf, int capacity, Class<? extends WritableComparator> cmpcl)
           
MultiFilterRecordReader(int id, JobConf conf, int capacity, Class<? extends WritableComparator> cmpcl)
           
 

Uses of JobConf in org.apache.hadoop.mapred.lib
 

Fields in org.apache.hadoop.mapred.lib declared as JobConf
protected  JobConf CombineFileRecordReader.jc
           
 

Methods in org.apache.hadoop.mapred.lib that return JobConf
 JobConf CombineFileSplit.getJob()
           
 

Methods in org.apache.hadoop.mapred.lib with parameters of type JobConf
static void MultipleInputs.addInputPath(JobConf conf, Path path, Class<? extends InputFormat> inputFormatClass)
          Add a Path with a custom InputFormat to the list of inputs for the map-reduce job.
static void MultipleInputs.addInputPath(JobConf conf, Path path, Class<? extends InputFormat> inputFormatClass, Class<? extends Mapper> mapperClass)
          Add a Path with a custom InputFormat and Mapper to the list of inputs for the map-reduce job.
static
<K1,V1,K2,V2>
void
ChainMapper.addMapper(JobConf job, Class<? extends Mapper<K1,V1,K2,V2>> klass, Class<? extends K1> inputKeyClass, Class<? extends V1> inputValueClass, Class<? extends K2> outputKeyClass, Class<? extends V2> outputValueClass, boolean byValue, JobConf mapperConf)
          Adds a Mapper class to the chain job's JobConf.
static
<K1,V1,K2,V2>
void
ChainReducer.addMapper(JobConf job, Class<? extends Mapper<K1,V1,K2,V2>> klass, Class<? extends K1> inputKeyClass, Class<? extends V1> inputValueClass, Class<? extends K2> outputKeyClass, Class<? extends V2> outputValueClass, boolean byValue, JobConf mapperConf)
          Adds a Mapper class to the chain job's JobConf.
static void MultipleOutputs.addMultiNamedOutput(JobConf conf, String namedOutput, Class<? extends OutputFormat> outputFormatClass, Class<?> keyClass, Class<?> valueClass)
          Adds a multi named output for the job.
static void MultipleOutputs.addNamedOutput(JobConf conf, String namedOutput, Class<? extends OutputFormat> outputFormatClass, Class<?> keyClass, Class<?> valueClass)
          Adds a named output for the job.
 void LazyOutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
           
 void FilterOutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
           
 void NullOutputFormat.checkOutputSpecs(FileSystem ignored, JobConf job)
           
 void MultithreadedMapRunner.configure(JobConf jobConf)
           
 void KeyFieldBasedPartitioner.configure(JobConf job)
           
 void HashPartitioner.configure(JobConf job)
           
 void KeyFieldBasedComparator.configure(JobConf job)
           
 void NLineInputFormat.configure(JobConf conf)
           
 void ChainMapper.configure(JobConf job)
          Configures the ChainMapper and all the Mappers in the chain.
 void TotalOrderPartitioner.configure(JobConf job)
           
 void FieldSelectionMapReduce.configure(JobConf job)
           
 void ChainReducer.configure(JobConf job)
          Configures the ChainReducer, the Reducer and all the Mappers in the chain.
 void BinaryPartitioner.configure(JobConf job)
           
 void RegexMapper.configure(JobConf job)
           
protected  void CombineFileInputFormat.createPool(JobConf conf, List<PathFilter> filters)
          Deprecated. Use CombineFileInputFormat.createPool(List).
protected  void CombineFileInputFormat.createPool(JobConf conf, PathFilter... filters)
          Deprecated. Use CombineFileInputFormat.createPool(PathFilter...).
protected  RecordWriter<K,V> MultipleSequenceFileOutputFormat.getBaseRecordWriter(FileSystem fs, JobConf job, String name, Progressable arg3)
           
protected  RecordWriter<K,V> MultipleTextOutputFormat.getBaseRecordWriter(FileSystem fs, JobConf job, String name, Progressable arg3)
           
protected abstract  RecordWriter<K,V> MultipleOutputFormat.getBaseRecordWriter(FileSystem fs, JobConf job, String name, Progressable arg3)
           
static boolean MultipleOutputs.getCountersEnabled(JobConf conf)
          Returns if the counters for the named outputs are enabled or not.
protected  String MultipleOutputFormat.getInputFileBasedOutputFileName(JobConf job, String name)
          Generate the outfile name based on a given anme and the input file name.
static Class<? extends OutputFormat> MultipleOutputs.getNamedOutputFormatClass(JobConf conf, String namedOutput)
          Returns the named output OutputFormat.
static Class<?> MultipleOutputs.getNamedOutputKeyClass(JobConf conf, String namedOutput)
          Returns the key class for a named output.
static List<String> MultipleOutputs.getNamedOutputsList(JobConf conf)
          Returns list of channel names.
static Class<?> MultipleOutputs.getNamedOutputValueClass(JobConf conf, String namedOutput)
          Returns the value class for a named output.
static String TotalOrderPartitioner.getPartitionFile(JobConf job)
          Deprecated. Use TotalOrderPartitioner.getPartitionFile(Configuration) instead
 RecordReader<K,V> CombineSequenceFileInputFormat.getRecordReader(InputSplit split, JobConf conf, Reporter reporter)
           
 RecordReader<LongWritable,Text> NLineInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)
           
 RecordReader<LongWritable,Text> CombineTextInputFormat.getRecordReader(InputSplit split, JobConf conf, Reporter reporter)
           
abstract  RecordReader<K,V> CombineFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
          This is not implemented yet.
 RecordWriter<K,V> LazyOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 RecordWriter<K,V> MultipleOutputFormat.getRecordWriter(FileSystem fs, JobConf job, String name, Progressable arg3)
          Create a composite record writer that can write key/value data to different output files
 RecordWriter<K,V> FilterOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 RecordWriter<K,V> NullOutputFormat.getRecordWriter(FileSystem ignored, JobConf job, String name, Progressable progress)
           
 InputSplit[] NLineInputFormat.getSplits(JobConf job, int numSplits)
          Logically splits the set of input files for the job, splits N lines of the input as one split.
 InputSplit[] CombineFileInputFormat.getSplits(JobConf job, int numSplits)
           
static boolean MultipleOutputs.isMultiNamedOutput(JobConf conf, String namedOutput)
          Returns if a named output is multiple.
protected  FileStatus[] CombineFileInputFormat.listStatus(JobConf job)
          List input directories.
static void MultipleOutputs.setCountersEnabled(JobConf conf, boolean enabled)
          Enables or disables counters for the named outputs.
static void LazyOutputFormat.setOutputFormatClass(JobConf job, Class<? extends OutputFormat> theClass)
          Set the underlying output format for LazyOutputFormat.
static void TotalOrderPartitioner.setPartitionFile(JobConf job, Path p)
          Deprecated. Use TotalOrderPartitioner.setPartitionFile(Configuration, Path) instead
static
<K1,V1,K2,V2>
void
ChainReducer.setReducer(JobConf job, Class<? extends Reducer<K1,V1,K2,V2>> klass, Class<? extends K1> inputKeyClass, Class<? extends V1> inputValueClass, Class<? extends K2> outputKeyClass, Class<? extends V2> outputValueClass, boolean byValue, JobConf reducerConf)
          Sets the Reducer class to the chain job's JobConf.
static
<K,V> void
InputSampler.writePartitionFile(JobConf job, org.apache.hadoop.mapred.lib.InputSampler.Sampler<K,V> sampler)
           
 

Constructors in org.apache.hadoop.mapred.lib with parameters of type JobConf
CombineFileRecordReader(JobConf job, CombineFileSplit split, Reporter reporter, Class<RecordReader<K,V>> rrClass)
          A generic RecordReader that can hand out different recordReaders for each chunk in the CombineFileSplit.
CombineFileSplit(JobConf job, Path[] files, long[] lengths)
           
CombineFileSplit(JobConf job, Path[] files, long[] start, long[] lengths, String[] locations)
           
InputSampler(JobConf conf)
           
MultipleOutputs(JobConf job)
          Creates and initializes multiple named outputs support, it should be instantiated in the Mapper/Reducer configure method.
 

Uses of JobConf in org.apache.hadoop.mapred.lib.aggregate
 

Methods in org.apache.hadoop.mapred.lib.aggregate that return JobConf
static JobConf ValueAggregatorJob.createValueAggregatorJob(String[] args)
          Create an Aggregate based map/reduce job.
static JobConf ValueAggregatorJob.createValueAggregatorJob(String[] args, Class<?> caller)
          Create an Aggregate based map/reduce job.
static JobConf ValueAggregatorJob.createValueAggregatorJob(String[] args, Class<? extends ValueAggregatorDescriptor>[] descriptors)
           
static JobConf ValueAggregatorJob.createValueAggregatorJob(String[] args, Class<? extends ValueAggregatorDescriptor>[] descriptors, Class<?> caller)
           
 

Methods in org.apache.hadoop.mapred.lib.aggregate with parameters of type JobConf
 void ValueAggregatorCombiner.configure(JobConf job)
          Combiner does not need to configure.
 void UserDefinedValueAggregatorDescriptor.configure(JobConf job)
          Do nothing.
 void ValueAggregatorDescriptor.configure(JobConf job)
          Configure the object
 void ValueAggregatorBaseDescriptor.configure(JobConf job)
          get the input file name.
 void ValueAggregatorJobBase.configure(JobConf job)
           
static void ValueAggregatorJob.setAggregatorDescriptors(JobConf job, Class<? extends ValueAggregatorDescriptor>[] descriptors)
           
 

Constructors in org.apache.hadoop.mapred.lib.aggregate with parameters of type JobConf
UserDefinedValueAggregatorDescriptor(String className, JobConf job)
           
 

Uses of JobConf in org.apache.hadoop.mapred.lib.db
 

Methods in org.apache.hadoop.mapred.lib.db with parameters of type JobConf
 void DBOutputFormat.checkOutputSpecs(FileSystem filesystem, JobConf job)
          Check for validity of the output-specification for the job.
 void DBInputFormat.configure(JobConf job)
          Initializes a new instance from a JobConf.
static void DBConfiguration.configureDB(JobConf job, String driverClass, String dbUrl)
          Sets the DB access related fields in the JobConf.
static void DBConfiguration.configureDB(JobConf job, String driverClass, String dbUrl, String userName, String passwd)
          Sets the DB access related fields in the JobConf.
 RecordReader<LongWritable,T> DBInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)
          Get the RecordReader for the given InputSplit.
 RecordWriter<K,V> DBOutputFormat.getRecordWriter(FileSystem filesystem, JobConf job, String name, Progressable progress)
          Get the RecordWriter for the given job.
 InputSplit[] DBInputFormat.getSplits(JobConf job, int chunks)
          Logically split the set of input files for the job.
static void DBInputFormat.setInput(JobConf job, Class<? extends DBWritable> inputClass, String inputQuery, String inputCountQuery)
          Initializes the map-part of the job with the appropriate input settings.
static void DBInputFormat.setInput(JobConf job, Class<? extends DBWritable> inputClass, String tableName, String conditions, String orderBy, String... fieldNames)
          Initializes the map-part of the job with the appropriate input settings.
static void DBOutputFormat.setOutput(JobConf job, String tableName, int fieldCount)
          Initializes the reduce-part of the job with the appropriate output settings
static void DBOutputFormat.setOutput(JobConf job, String tableName, String... fieldNames)
          Initializes the reduce-part of the job with the appropriate output settings
 

Uses of JobConf in org.apache.hadoop.mapred.pipes
 

Methods in org.apache.hadoop.mapred.pipes with parameters of type JobConf
static String Submitter.getExecutable(JobConf conf)
          Get the URI of the application's executable.
static boolean Submitter.getIsJavaMapper(JobConf conf)
          Check whether the job is using a Java Mapper.
static boolean Submitter.getIsJavaRecordReader(JobConf conf)
          Check whether the job is using a Java RecordReader
static boolean Submitter.getIsJavaRecordWriter(JobConf conf)
          Will the reduce use a Java RecordWriter?
static boolean Submitter.getIsJavaReducer(JobConf conf)
          Check whether the job is using a Java Reducer.
static boolean Submitter.getKeepCommandFile(JobConf conf)
          Does the user want to keep the command file for debugging? If this is true, pipes will write a copy of the command data to a file in the task directory named "downlink.data", which may be used to run the C++ program under the debugger.
static RunningJob Submitter.jobSubmit(JobConf conf)
          Submit a job to the Map-Reduce framework.
static RunningJob Submitter.runJob(JobConf conf)
          Submit a job to the map/reduce cluster.
static void Submitter.setExecutable(JobConf conf, String executable)
          Set the URI for the application's executable.
static void Submitter.setIsJavaMapper(JobConf conf, boolean value)
          Set whether the Mapper is written in Java.
static void Submitter.setIsJavaRecordReader(JobConf conf, boolean value)
          Set whether the job is using a Java RecordReader.
static void Submitter.setIsJavaRecordWriter(JobConf conf, boolean value)
          Set whether the job will use a Java RecordWriter.
static void Submitter.setIsJavaReducer(JobConf conf, boolean value)
          Set whether the Reducer is written in Java.
static void Submitter.setKeepCommandFile(JobConf conf, boolean keep)
          Set whether to keep the command file for debugging
static RunningJob Submitter.submitJob(JobConf conf)
          Deprecated. Use Submitter.runJob(JobConf)
 

Uses of JobConf in org.apache.hadoop.mapreduce.security
 

Methods in org.apache.hadoop.mapreduce.security with parameters of type JobConf
static org.apache.hadoop.security.Credentials TokenCache.loadTokens(String jobTokenFile, JobConf conf)
          Deprecated. Use Credentials.readTokenStorageFile(org.apache.hadoop.fs.Path, org.apache.hadoop.conf.Configuration) instead, this method is included for compatibility against Hadoop-1.
 



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