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This article mainly explains "introduction of Hadoop output parameter information". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Next let the editor to take you to learn "Hadoop output parameter information introduction" bar!

Counters:19

FileOutputFormatCounters

Number of bytes output from BytesWritten=19 / / reduce to hdfs

FileSystemCounters

FILE_BYTES_READ=481

HDFS_BYTES_READ=38

FILE_BYTES_WRITTEN=81316

HDFS_BYTES_WRITTEN=19

FileInputFormatCounters

Number of bytes read from hdfs by BytesRead=19 / / map

Map-ReduceFramework

Mapoutputmaterializedbytes=49

Number of rows of records read in by Mapinputrecords=2 / / map

Reduceshufflebytes=0

SpilledRecords=8

Mapoutputbytes=35

Totalcommittedheapusage (bytes) = 266469376

SPLIT_RAW_BYTES=105

Combineinputrecords=0

The number of rows of records received by Reduceinputrecords=4 / / reduce from the map side

The number of key received by the Reduceinputgroups=3 / / reduce function, that is, the number of K2 after the merger

Combineoutputrecords=0

Number of rows of records output from Reduceoutputrecords=3 / / reduce

Number of rows of records output from Mapoutputrecords=4 / / map

At this point, I believe that everyone on the "Hadoop output parameter information introduction" have a deeper understanding, might as well to the actual operation of it! Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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