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https://issues.apache.org/jira/browse/MAPREDUCE-1623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12862781#action_12862781
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Owen O'Malley commented on MAPREDUCE-1623:
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o.a.h.mapreduce:
public, evolving: Cluster, ClusterMetrics, Job, JobCounter, JobPriority,
JobStatus, MarkableIterator, MarkableIteratorInterface,QueueAclsInfo,
QueueInfo, QueueState, TaskCounter, TaskReport, TaskTrackerInfo, TaskType
public,stable: Mapper, Reducer, Counter, CounterGroup, Counters, ID,
InputFormat, InputSplit, JobContext, JobCounter, JobID, MapContext, Mapper,
OutputCommitter, OutputFormat, Partitioner, RecordReader, RecordWriter,
ReduceContext, Reducer, TaskAttemptContext, TaskAttemptID, TaskID,
TaskInputOutputContext
private: JobACL, JobSubmissionFiles, JobSubmitter, MRConfig, StatusReporter,
TaskCompletionEvent, TaskReport
o.a.h.mapreduce.map:
public, stable: InverseMapper, TokenCounterMapper
o.a..h.mapreduce.lib.output:
public, stable: NullOutputFormat
o.a.h.mapreduce.lib.partition:
public, stable: BinaryPartitioner, HashPartitioner, InputSampler,
TotalOrderPartitioner
o.a.h.mapreduce.lib.reduce:
public, stable: IntSumReducer, LongSumReducer
o.a.h.mapred:
public, stable: Counters, ClusterStatus, FileInputFormat,
FileOutputCommitter, FileOutputFormat, FileSplit, ID, InputFormat, InputSplit,
IsolationRunner, JobClient, JobConf, JobConfigurable, JobID, JobPriority,
MapRunnable, MapRunner, Mapper, MultiFileInputFormat, MultiFileSplit,
OutputCollector, OutputCommitter, OutputFormat, Partitioner, RecordReader,
RecordWriter, Reducer, Reporter, RunningJob, SequenceFileAsBinaryInputFormat,
SequenceFileAsBinaryOutputFormat,SequenceFileAsTextInputFormat,
SequenceFileAsTextRecordReader, SequenceFileInputFilter,
SequenceFileInputFormat, SequenceFileOutputFormat, SequenceFileRecordReader,
TaskAttemptID, TaskID, TextInputFormat, TextOutputFormat
o.a.h.mapred.lib:
public, stable: BinaryPartitioner, Chain, ChainMapper, ChainReducer,
CombineFileInputFormat, CombineFileRecordReader, CombineFileSplit,
DelegatingInputFormat, DelegationMapper, FieldSelectionMapReduce,
FilterOutputFormat, HashPartitioner, IdentityMapper, IdentityReducer,
InputSampler, InverseMapper, KeyFieldBasedComparator, KeyFieldBasedPartitioner,
LazyOutputFormat, LongSumReducer, MultipleInputs, MultipleOutputFormat,
MultipleSequenceFileOutputFormat, MultipleTextOutputFormat,
MultithreadedMapRunner, NLineInputFormat, NullOutputFormat, RegexMapper,
TaggedInputSplit, TokenCountMapper, TotalOrderPartitioner
> Apply audience and stability annotations to classes in mapred package
> ---------------------------------------------------------------------
>
> Key: MAPREDUCE-1623
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-1623
> Project: Hadoop Map/Reduce
> Issue Type: Sub-task
> Components: documentation
> Reporter: Tom White
> Assignee: Tom White
> Priority: Blocker
> Fix For: 0.22.0
>
> Attachments: M1623-1.patch, MAPREDUCE-1623.patch,
> MAPREDUCE-1623.patch, MAPREDUCE-1623.patch, MAPREDUCE-1623.patch,
> MAPREDUCE-1623.patch, MAPREDUCE-1623.patch, MAPREDUCE-1623.patch
>
>
> There are lots of implementation classes in org.apache.hadoop.mapred which
> makes it difficult to see the user-level MapReduce API classes in the
> Javadoc. (See
> http://hadoop.apache.org/common/docs/r0.20.2/api/org/apache/hadoop/mapred/package-summary.html
> for example.) By marking these implementation classes with the
> InterfaceAudience.Private annotation we can exclude them from user Javadoc
> (using HADOOP-6658).
> Later work will move the implementation classes into o.a.h.mapreduce.server
> and related packages (see MAPREDUCE-561), but applying the annotations is a
> good first step.
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