Mappers and Reducers will run in Task instances mapper/reducer instances
also called as mapper/reducer slots.
Each node can have multiple slots (I mean multiple mapper instances, each
run in a child JVM). And this is configurable with properties like
mapred.tasktracker.map.tasks.maximum and
This may beof some use, about how maps are decided:
http://wiki.apache.org/hadoop/HowManyMapsAndReduces
Thanks
Hemanth
On Friday, January 25, 2013, jamal sasha wrote:
Hi.
A very very lame question.
Does numbers of mapper depends on the number of nodes I have?
How I imagine map-reduce is
Hi.
A very very lame question.
Does numbers of mapper depends on the number of nodes I have?
How I imagine map-reduce is this.
For example in word count example
I have bunch of slave nodes.
The documents are distributed across these slave nodes.
Now depending on how big the data is, it will
