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

Packages that use JobContext

org.apache.hadoop.mapred	A software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) parallelly on large clusters (thousands of nodes) built of commodity hardware in a reliable, fault-tolerant manner.
org.apache.hadoop.mapreduce
org.apache.hadoop.mapreduce.lib.db
org.apache.hadoop.mapreduce.lib.input
org.apache.hadoop.mapreduce.lib.map
org.apache.hadoop.mapreduce.lib.output
org.apache.hadoop.mapreduce.lib.partition

Uses of JobContext in org.apache.hadoop.mapred

Subclasses of JobContext in org.apache.hadoop.mapred

class

JobContext

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

void	OutputCommitter.abortJob(JobContext context, JobStatus.State runState) This method implements the new interface by calling the old method.
void	OutputCommitter.cleanupJob(JobContext context) Deprecated.
void	OutputCommitter.commitJob(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

Subclasses of JobContext in org.apache.hadoop.mapreduce

class	Job The job submitter's view of the Job.
class	MapContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> The context that is given to the Mapper.
class	Mapper.Context
class	ReduceContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> The context passed to the Reducer.
class	Reducer.Context
class	TaskAttemptContext The context for task attempts.
class	TaskInputOutputContext<KEYIN,VALUEIN,KEYOUT,VALUEOUT> A context object that allows input and output from the task.

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

void	OutputCommitter.abortJob(JobContext jobContext, 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 context) Deprecated. use OutputCommitter.commitJob(JobContext) or OutputCommitter.abortJob(JobContext, JobStatus.State) instead
void	OutputCommitter.commitJob(JobContext jobContext) For cleaning up the job's output after job completion.
abstract List<InputSplit>	InputFormat.getSplits(JobContext context) Logically split the set of input files for the job.
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

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

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.
List<InputSplit>	DelegatingInputFormat.getSplits(JobContext job)
protected boolean	TextInputFormat.isSplitable(JobContext context, Path file)
protected boolean	KeyValueTextInputFormat.isSplitable(JobContext context, Path file)
protected boolean	CombineFileInputFormat.isSplitable(JobContext context, Path file)
protected boolean	FileInputFormat.isSplitable(JobContext context, Path filename) Is the given filename splitable? 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.map

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

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

void	FileOutputCommitter.abortJob(JobContext context, JobStatus.State state) Delete the temporary directory, including all of the work directories.
void	NullOutputFormat.checkOutputSpecs(JobContext context)
void	LazyOutputFormat.checkOutputSpecs(JobContext context)
void	FileOutputFormat.checkOutputSpecs(JobContext job)
void	FilterOutputFormat.checkOutputSpecs(JobContext context)
void	SequenceFileAsBinaryOutputFormat.checkOutputSpecs(JobContext job)
void	FileOutputCommitter.cleanupJob(JobContext context) Deprecated.
void	FileOutputCommitter.commitJob(JobContext context) Delete the temporary directory, including all of the work directories.
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.
static 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
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.

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

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

static String	KeyFieldBasedComparator.getKeyFieldComparatorOption(JobContext job) Get the KeyFieldBasedComparator options
String	KeyFieldBasedPartitioner.getKeyFieldPartitionerOption(JobContext job) Get the KeyFieldBasedPartitioner options