P/Reduce based on the logic what you need
From: AMARNATH, Balachandar [mailto:balachandar.amarn...@airbus.com]
Sent: 06 March 2013 11:24
To: user@hadoop.apache.org
Subject: RE: Map reduce technique
Thanks for the mail,
Can u please share few links to start with?
Regards
Bala
From: Samir Kumar Das
Thanks for the mail,
Can u please share few links to start with?
Regards
Bala
From: Samir Kumar Das Mohapatra [mailto:dasmo...@adobe.com]
Sent: 06 March 2013 11:21
To: user@hadoop.apache.org
Subject: RE: Map reduce technique
I think you have to look the sequence file as input format
HDFS. This may take a while, but you'll only have to do it once.
Regards,
Samir.
From: AMARNATH, Balachandar [mailto:balachandar.amarn...@airbus.com]
Sent: 06 March 2013 11:07
To: user@hadoop.apache.org
Subject: Map reduce technique
Hi,
I am new to map reduce paradigm. I read in a tutorial
Hi Balachandar,
In MapReduce, interpreting input files as key value pairs is accomplished
through InputFormats. Some common InputFormats are TextInputFormat, which
uses lines in a text file as values and their byte offset into the file as
keys, KeyValueTextInputFormat, which interprets the first
Hi,
I am new to map reduce paradigm. I read in a tutorial that says that 'map'
function splits the data and into key value pairs. This means, the map-reduce
framework automatically splits the data into pieces or do we need to explicitly
provide the method to split the data into pieces. If it do
