Hello,

I have a small portion of map tasks whose output is much larger than others (more spills). So the reducer is mainly waiting for these a few map tasks. Is there a good solution for this problem ?

Thank you.

Best,
Huanchen

This is reasonable if you have any kind of trends  in the ordering of your data or  any computation in the mappers.

You can use a smaller input split to
Reduce the load on each individual mapper so that large blocks of records that take a long time To Process are less likely to clog one mapper.

Jay Vyas
MMSB
UCHC

On Oct 2, 2012, at 9:04 PM, Huanchen Zhang <[EMAIL PROTECTED]> wrote:

> Hello,
>
> I have a small portion of map tasks whose output is much larger than others (more spills). So the reducer is mainly waiting for these a few map tasks. Is there a good solution for this problem ?
>
> Thank you.
>
> Best,
> Huanchen