Hello ,
If i am running my experiment on a server with 2 processors (4 cores each ) .
To say it has 2 processors and 8 cores .
What would be the ideal values for mapred.tasktracker.map.tasks.maximum and
mapred.tasktracker.reduce.tasks.maximum to get maximum performance.
Your help is very much
what kind of jobs your tasks will be doing?
are they CPU intensive or only memory intensive ?
On Thu, Jul 31, 2014 at 6:28 PM, Sindhu Hosamane sindh...@gmail.com wrote:
Hello ,
If i am running my experiment on a server with 2 processors (4 cores each
) .
To say it has 2 processors and 8
I am not pretty sure about the answer for this.
I am running Cascalog queries which runs on files which are in MB .
On 31 Jul 2014, at 15:11, Nitin Pawar nitinpawar...@gmail.com wrote:
what kind of jobs your tasks will be doing?
are they CPU intensive or only memory intensive ?
On
Thank you Harsh ,
I have a look on this and get back .
On 29 Jul 2014, at 18:56, Harsh J ha...@cloudera.com wrote:
It isn't the DataNode that does the compute spawn/work, but the TaskTracker.
If you wanted to increase MR parallelism on a single machine, you do
not need two DNs, nor two
It isn't the DataNode that does the compute spawn/work, but the TaskTracker.
If you wanted to increase MR parallelism on a single machine, you do
not need two DNs, nor two TTs, just higher slot capacities in your
TT's mapred-site.xml via properties
mapred.tasktracker.map.tasks.maximum and
Hello ,
i set up 2 datanodes on a single machine(ubuntu machine) accordingly
mentioned in the thread
http://mail-archives.apache.org/mod_mbox/hadoop-common-user/201009.mbox/%3ca3ef3f6af24e204b812d1d24ccc8d71a03688...@mse16be2.mse16.exchange.ms%3E
Ubuntu machine has 2 processors and 8 cores.
