If only thread is created to run mapper/reducer, how would
mapred.child.java.opts be effective ?
Please refer to src/mapred/org/apache/hadoop/mapred/TaskRunner.java which is
not very long.
On Wed, Jun 16, 2010 at 9:10 PM, Jyothish Soman wrote:
>
> I have another doubt, for cross checking. The nu
Final output is written by OutputFormat. By default, TextOutputFormat will
write \t as the key-value separator. You can specify a different key-value
separator for TextOutputFormat by specifying the value for configuration
property "mapred.textoutputformat.separator". Try setting ' ' for the
co
I have another doubt, for cross checking. The number set in
mapred.tasktracker.map/reduce.tasks.maximum creates that many JVM instances,
or does it just create that many threads. Though I could not see any
explicit statement about it, it was pointed everywhere as if it is a JVM
instance.
Please do
Yes - that was the problem - thanks
On Wed, Jun 16, 2010 at 9:26 AM, Alex Kozlov wrote:
> Hi Steve, did you do
>
> job.setOutputKeyClass(Text.class);
> job.setOutputValueClass(Text.class);
>
> ?
>
> Alex K
>
>
> On Wed, Jun 16, 2010 at 9:15 AM, Steve Lewis wrote:
>
>> Problem with Reducer emitti
Hi Steve, did you do
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
?
Alex K
On Wed, Jun 16, 2010 at 9:15 AM, Steve Lewis wrote:
> Problem with Reducer emitting a different Key than Mapper
> IO have the FOllowing code where the Mapper emits a custom Key and the
> redu
Problem with Reducer emitting a different Key than Mapper
IO have the FOllowing code where the Mapper emits a custom Key and the
reducer isa expected to emit text
Using Hadoop 0.2 on a local instance I asj the reducer to write Text,Text -
thiew is even what the IDE says I should do
and what I get
I am trying to develop a streaming MR application by implementing
korn-shell based mapper and reducer. I want to use 'space - x20' as the
separator between key and value throughout the application.
When invoking the application I specified -D
stream.map.output.field.separator=" " -D
stream.reduce