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Examples of the usage of InputFormat and OutputFormat in Hadoop2.6.0

2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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The purpose of this article is to share with you the content of examples of the use of InputFormat and OutputFormat in Hadoop2.6.0. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Java.lang.Object org.apache.hadoop.mapreduce.InputFormat org.apache.hadoop.mapreduce.lib.db.DBInputFormat DataDrivenDBInputFormat OracleDataDrivenDBInputFormat org.apache.hadoop.mapreduce.lib.input.FileInputFormat CombineFileInputFormat CombineSequenceFileInputFormat CombineTextInputFormat FixedLengthInputFormat KeyValueTextInputFormat NLineInputFormat SequenceFileInputFormat TextInputFormat

InputFormat

Public abstract class InputFormat {public abstract List getSplits (JobContext context) throws IOException, InterruptedException; public abstract RecordReader createRecordReader (InputSplit split,TaskAttemptContext context) throws IOException, InterruptedException;}

1 、 FileInputFormat

1.1 TextInputFormat

1.2 KeyValueTextInputFormat

1.3 SequenceFileInputFormat

1.4 CombineFileInputFormat

1.5 FixedLengthInputFormat

1.6 NLineInputFormat

2 、 DBInputFormat

2.1 DataDrivenDBInputFormat

2.1.1 OracleDataDrivenDBInputFormat

OutputFormat

Public abstract class OutputFormat {public abstract RecordWriter getRecordWriter (TaskAttemptContext context) throws IOException, InterruptedException; public abstract RecordWriter getRecordWriter (TaskAttemptContext context) throws IOException, InterruptedException; public abstract OutputCommitter getOutputCommitter (TaskAttemptContext context) throws IOException, InterruptedException;} Thank you for reading! This is the end of the article on "examples of the usage of InputFormat and OutputFormat in Hadoop2.6.0". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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