Uses of Interface
org.apache.hadoop.mapreduce.JobContext

Packages that use JobContext

Package	Description
org.apache.hadoop.mapred
org.apache.hadoop.mapreduce
org.apache.hadoop.mapreduce.lib.db
org.apache.hadoop.mapreduce.lib.input
org.apache.hadoop.mapreduce.lib.join
org.apache.hadoop.mapreduce.lib.map
org.apache.hadoop.mapreduce.lib.output
org.apache.hadoop.mapreduce.lib.partition
org.apache.hadoop.mapreduce.task

Uses of JobContext in org.apache.hadoop.mapred

Subinterfaces of JobContext in org.apache.hadoop.mapred

Modifier and Type	Interface and Description
interface	JobContext

Methods in org.apache.hadoop.mapred with parameters of type JobContext

Modifier and Type	Method and Description
void	OutputCommitter.abortJob(JobContext context, org.apache.hadoop.mapreduce.JobStatus.State runState) This method implements the new interface by calling the old method.
void	OutputCommitter.cleanupJob(JobContext context) Deprecated. Use OutputCommitter.commitJob(org.apache.hadoop.mapreduce.JobContext) or OutputCommitter.abortJob(org.apache.hadoop.mapreduce.JobContext, org.apache.hadoop.mapreduce.JobStatus.State) instead.
void	OutputCommitter.commitJob(JobContext context) This method implements the new interface by calling the old method.
boolean	OutputCommitter.isCommitJobRepeatable(JobContext jobContext)
boolean	OutputCommitter.isRecoverySupported(JobContext context) This method implements the new interface by calling the old method.
void	OutputCommitter.setupJob(JobContext jobContext) This method implements the new interface by calling the old method.

Uses of JobContext in org.apache.hadoop.mapreduce

Subinterfaces of JobContext in org.apache.hadoop.mapreduce

Modifier and Type	Interface and Description
interface	MapContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> The context that is given to the Mapper.
interface	ReduceContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> The context passed to the Reducer.
interface	TaskAttemptContext The context for task attempts.
interface	TaskInputOutputContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> A context object that allows input and output from the task.

Classes in org.apache.hadoop.mapreduce that implement JobContext

Modifier and Type	Class and Description
class	Job The job submitter's view of the Job.

Methods in org.apache.hadoop.mapreduce with parameters of type JobContext

Modifier and Type	Method and Description
void	OutputCommitter.abortJob(JobContext jobContext, org.apache.hadoop.mapreduce.JobStatus.State state) For aborting an unsuccessful job's output.
abstract void	OutputFormat.checkOutputSpecs(JobContext context) Check for validity of the output-specification for the job.
void	OutputCommitter.cleanupJob(JobContext jobContext) Deprecated. Use OutputCommitter.commitJob(JobContext) and OutputCommitter.abortJob(JobContext, JobStatus.State) instead.
void	OutputCommitter.commitJob(JobContext jobContext) For committing job's output after successful job completion.
abstract List<InputSplit>	InputFormat.getSplits(JobContext context) Logically split the set of input files for the job.
boolean	OutputCommitter.isCommitJobRepeatable(JobContext jobContext) Returns true if an in-progress job commit can be retried.
boolean	OutputCommitter.isRecoverySupported(JobContext jobContext) Is task output recovery supported for restarting jobs? If task output recovery is supported, job restart can be done more efficiently.
abstract void	OutputCommitter.setupJob(JobContext jobContext) For the framework to setup the job output during initialization.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.db

Methods in org.apache.hadoop.mapreduce.lib.db with parameters of type JobContext

Modifier and Type	Method and Description
void	DBOutputFormat.checkOutputSpecs(JobContext context)
List<InputSplit>	DataDrivenDBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.
List<InputSplit>	DBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.input

Methods in org.apache.hadoop.mapreduce.lib.input with parameters of type JobContext

Modifier and Type	Method and Description
static boolean	FileInputFormat.getInputDirRecursive(JobContext job)
static PathFilter	FileInputFormat.getInputPathFilter(JobContext context) Get a PathFilter instance of the filter set for the input paths.
static Path[]	FileInputFormat.getInputPaths(JobContext context) Get the list of input Paths for the map-reduce job.
static long	FileInputFormat.getMaxSplitSize(JobContext context) Get the maximum split size.
static long	FileInputFormat.getMinSplitSize(JobContext job) Get the minimum split size
static int	NLineInputFormat.getNumLinesPerSplit(JobContext job) Get the number of lines per split
List<InputSplit>	NLineInputFormat.getSplits(JobContext job) Logically splits the set of input files for the job, splits N lines of the input as one split.
List<InputSplit>	CombineFileInputFormat.getSplits(JobContext job)
List<InputSplit>	FileInputFormat.getSplits(JobContext job) Generate the list of files and make them into FileSplits.
protected boolean	CombineFileInputFormat.isSplitable(JobContext context, Path file)
protected boolean	KeyValueTextInputFormat.isSplitable(JobContext context, Path file)
protected boolean	FixedLengthInputFormat.isSplitable(JobContext context, Path file)
protected boolean	TextInputFormat.isSplitable(JobContext context, Path file)
protected boolean	FileInputFormat.isSplitable(JobContext context, Path filename) Is the given filename splittable? Usually, true, but if the file is stream compressed, it will not be.
protected List<FileStatus>	SequenceFileInputFormat.listStatus(JobContext job)
protected List<FileStatus>	FileInputFormat.listStatus(JobContext job) List input directories.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.join

Methods in org.apache.hadoop.mapreduce.lib.join with parameters of type JobContext

Modifier and Type	Method and Description
List<InputSplit>	CompositeInputFormat.getSplits(JobContext job) Build a CompositeInputSplit from the child InputFormats by assigning the ith split from each child to the ith composite split.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.map

Methods in org.apache.hadoop.mapreduce.lib.map with parameters of type JobContext

Modifier and Type	Method and Description
static <K1,V1,K2,V2> Class<Mapper<K1,V1,K2,V2>>	MultithreadedMapper.getMapperClass(JobContext job) Get the application's mapper class.
static int	MultithreadedMapper.getNumberOfThreads(JobContext job) The number of threads in the thread pool that will run the map function.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.output

Methods in org.apache.hadoop.mapreduce.lib.output with parameters of type JobContext

Modifier and Type	Method and Description
void	FileOutputCommitter.abortJob(JobContext context, org.apache.hadoop.mapreduce.JobStatus.State state) Delete the temporary directory, including all of the work directories.
void	LazyOutputFormat.checkOutputSpecs(JobContext context)
void	FilterOutputFormat.checkOutputSpecs(JobContext context)
void	SequenceFileAsBinaryOutputFormat.checkOutputSpecs(JobContext job)
void	NullOutputFormat.checkOutputSpecs(JobContext context)
void	FileOutputFormat.checkOutputSpecs(JobContext job)
void	FileOutputCommitter.cleanupJob(JobContext context) Deprecated.
void	FileOutputCommitter.commitJob(JobContext context) The job has completed, so do works in commitJobInternal().
protected void	FileOutputCommitter.commitJobInternal(JobContext context) The job has completed, so do following commit job, include: Move all committed tasks to the final output dir (algorithm 1 only).
static boolean	FileOutputFormat.getCompressOutput(JobContext job) Is the job output compressed?
static boolean	MultipleOutputs.getCountersEnabled(JobContext job) Returns if the counters for the named outputs are enabled or not.
Path	FileOutputCommitter.getJobAttemptPath(JobContext context) Compute the path where the output of a given job attempt will be placed.
static Path	FileOutputCommitter.getJobAttemptPath(JobContext context, Path out) Compute the path where the output of a given job attempt will be placed.
static org.apache.hadoop.io.SequenceFile.CompressionType	SequenceFileOutputFormat.getOutputCompressionType(JobContext job) Get the SequenceFile.CompressionType for the output SequenceFile.
static Class<? extends CompressionCodec>	FileOutputFormat.getOutputCompressorClass(JobContext job, Class<? extends CompressionCodec> defaultValue) Get the CompressionCodec for compressing the job outputs.
protected static String	FileOutputFormat.getOutputName(JobContext job) Get the base output name for the output file.
static Path	FileOutputFormat.getOutputPath(JobContext job) Get the Path to the output directory for the map-reduce job.
static Class<? extends WritableComparable>	SequenceFileAsBinaryOutputFormat.getSequenceFileOutputKeyClass(JobContext job) Get the key class for the SequenceFile
static Class<? extends Writable>	SequenceFileAsBinaryOutputFormat.getSequenceFileOutputValueClass(JobContext job) Get the value class for the SequenceFile
boolean	FileOutputCommitter.isCommitJobRepeatable(JobContext context)
protected static void	FileOutputFormat.setOutputName(JobContext job, String name) Set the base output name for output file to be created.
void	FileOutputCommitter.setupJob(JobContext context) Create the temporary directory that is the root of all of the task work directories.

Constructors in org.apache.hadoop.mapreduce.lib.output with parameters of type JobContext

Constructor and Description
FileOutputCommitter(Path outputPath, JobContext context) Create a file output committer
PartialFileOutputCommitter(Path outputPath, JobContext context)
PathOutputCommitter(Path outputPath, JobContext context) Constructor for a job attempt.

Uses of JobContext in org.apache.hadoop.mapreduce.lib.partition

Methods in org.apache.hadoop.mapreduce.lib.partition with parameters of type JobContext

Modifier and Type	Method and Description
static String	KeyFieldBasedComparator.getKeyFieldComparatorOption(JobContext job) Get the KeyFieldBasedComparator options
String	KeyFieldBasedPartitioner.getKeyFieldPartitionerOption(JobContext job) Get the KeyFieldBasedPartitioner options

Uses of JobContext in org.apache.hadoop.mapreduce.task

Classes in org.apache.hadoop.mapreduce.task with annotations of type with type parameters of type that implement declared as with annotations of type with type parameters of type with annotations of type with annotations of type with type parameters of type that return that return types with arguments of type with parameters of type with type arguments of type that throw with annotations of type with annotations of type with parameters of type with type arguments of type that throw JobContext

Modifier and Type	Class and Description
class	org.apache.hadoop.mapreduce.task.JobContextImpl A read-only view of the job that is provided to the tasks while they are running.