There is a very clear picture in chapter 8 of pro hadoop, on all of the
separators for streaming jobs.
On Tue, Nov 10, 2009 at 6:53 AM, wd wrote:
> You mean the ^A ?
> I tried \u0001 and \x01, the streaming job recognise it as a string, not
> ^A..
>
> :(
>
> 2009/11/10 Amogh Vasekar
>
> Hi,
>
The dfs client code waits until the all of the datanodes that are going to
hold a replica of your output's blocks have ack'd.
If you are pausing there, most likely something is wrong in your hdfs
cluster.
On Thu, Nov 12, 2009 at 7:06 AM, Ted Xu wrote:
> hi all,
>
> We are using hadoop-0.19.1 on
All of your data has to be converted back and forth to strings, and passed
through pipes from the jvm to your task and back from the task to the jvm.
On Thu, Nov 12, 2009 at 10:06 PM, Alexey Tigarev
wrote:
> Hi All!
>
> How much overhead using Hadoop Streming vs. native Java steps does add?
>
>
Your log messages to stdout,stderr and syslog will end up in the
logs/userlogs directory of your task tracker.
If the job is still visible via the web ui for the job tracker host (usually
port 50030), you can select the individual tasks that were run for your job,
and if you click through enough s
Your eclipse instance doesn't have the jar files in the lib directory of
your hadoop installation in the class path.
On Sat, Nov 14, 2009 at 7:51 PM, felix gao wrote:
> I wrote a simple code in my eclipse as
>
> Text t = new Text("hadoop");
> System.out.println((char)t.charAt(2));
>
> when I tr
The failure appear or occur in code in the system dynamic linker, which
implies a shared library compatibility problem, or a heap shortfall
On Mon, Oct 26, 2009 at 2:25 PM, Ed Mazur wrote:
> Err, disregard that.
>
> $ cat /proc/version
> Linux version 2.6.9-89.0.9.plus.c4smp (mockbu...@builder10
This error is very common in applications that run out of file descriptors
or simply open vast numbers of files on an and HDFS with a very high block
density per datanode.
It is quite easy to open hundreds of thousands of files with the
Multi*OutputFormat classes.
If you can collect your output in
Are you perhaps creating large numbers of files, and running out of file
descriptors in your tasks.
On Wed, Oct 7, 2009 at 1:52 PM, Geoffry Roberts
wrote:
> All,
>
> I have a MapRed job that ceases to produce output about halfway through.
> The obvious question is why?
>
> This job reads a file a
I have seen this happen when there are inconsistent hostname to ip address
lookups across the cluster and a node running a reducer is not connecting to
the host that actually has the map output due to getting a different ip
address for the node name.
On Mon, Jul 27, 2009 at 9:46 AM, Geoffry Robert