Hi,
I am running a map-reduce job in Python and I get this error message. I
do not understand what it means. Output is not written to HDFS. I am using
CDH3u3. Any suggestion is appreciated.
MapAttempt TASK_TYPE=MAP TASKID=task_201208232245_2812_m_00
Here's a snippet of tasktracker metrics using Metrics2. (I think there were
(more) gaps in the pre-metrics2 versions.)
Note that you'll need to have hadoop-env.sh and hadoop-metrics2.properties
setup on all the nodes you want reports from.
1345570905436 ugi.ugi: context=ugi,
Hi David,
I enabled the jvm.class of the hadoop-metrics.properties, you're
output seems to be from something else (dfs.class or mapred.class) which
reports hadoop deamons performace. For example your output shows
processName=TaskTracker
which I'm not looking for.
How can I report jvm
Hi All,
My Hadoop streaming job (in Python) runs to completion (both map and
reduce says 100% complete). But, when I look at the output directory in
HDFS, the part files are empty. I do not know what might be causing this
behavior. I understand that the percentages represent the records that
Do you observe the same thing when running without Hadoop? (cat, map, sort
and then reduce)
Could you provide the counters of your job? You should be able to get them
using the job tracker interface.
The most probable answer without more information would be that your
reducer do not output any
Hello,I 'm currently developing a MapReduce application, and i want my Map job
to takemore data than a single line as the default configuration does (eg 64kb
input split size).How can i change the input split size for the Map job? Are
there any configuration files that i have to edit or a
see also
http://wiki.apache.org/hadoop/AmazonS3
On Tue, Aug 28, 2012 at 9:14 AM, Chris Collins
chris_j_coll...@yahoo.com wrote:
Hi I am trying to use the Hadoop filesystem abstraction with S3 but in my
tinkering I am not having a great deal of success. I am particularly
interested in the
Hi guys
I met a interesting problem when I implement my own custom InputFormat
which extends the FileInputFormat.(I rewrite the RecordReader class but not
the InputSplit class)
My recordreader will take following format as a basic record: (my
recordreader extends the LineRecordReader. It returns
Thanks Haavard, I am aware of that page but I am not sure why you are pointing
me to it. This really looks like a bug where Jets3tNativeFileSystemStore is
parsing a response from jets3t. its looking for ResponseCode=404 but actually
getting ResponseCode: 404. I dont see how it ever worked
Inline. Just a set of you're right :-).
It's documented here:
http://hbase.apache.org/book.html#regions.arch.locality
On Wed, Aug 29, 2012 at 8:06 AM, Robert Dyer rd...@iastate.edu wrote:
Ok but does that imply that only 1 of your compute nodes is promised
to have all of the data for any given
Hi Chen,
Does your record reader and mapper handle the case where one map split
may not exactly get the whole record? Your case is not very different
from the newlines logic presented here:
http://wiki.apache.org/hadoop/HadoopMapReduce
On Wed, Aug 29, 2012 at 11:13 AM, Chen He airb...@gmail.com
Hi Gaurav
You can get the information on the num of map tasks in the job from the JT web
UI itself.
Regards
Bejoy KS
Sent from handheld, please excuse typos.
-Original Message-
From: Gaurav Dasgupta gdsay...@gmail.com
Date: Wed, 29 Aug 2012 13:14:11
To: user@hadoop.apache.org
I am able to browse the web UI and telnet/netcat the tasktracker host and
port, so the connection is being established. Is there any way I can
confirm whether it is really some kind of version conflict? The EOF when
doing readInt() seems like a protocol incompatibility.
By the way, the tastracker
Then the question arises how MRBench is using the parameters :
According to the mail he send... he is running MRBench with the following
parameter:
*
hadoop jar /usr/lib/hadoop-0.20/hadoop-test.jar mrbench -maps 10 -reduces 10
*
I guess he is assuming the MRbench to launch 10 mappers and 10
Or, is it possible to request that the functionality provided by
MultipleTextOutputFormat be supported by the new Hadoop API?
Thanks,
Tony
-Original Message-
From: Tony Burton [mailto:tbur...@sportingindex.com]
Sent: 28 August 2012 14:37
To: user@hadoop.apache.org
Subject: RE: hadoop
Thank you for your reply Harsh J.
I really need this feature, because this will boost up execution of my
use case a lot.
Could you give me a hint where to look in the sources to get a good
starting point for implementation?
Which classes are involved?
Hi Eduard,
This isn't impossible, just
Thank you for your reply Harsh J.
I really need this feature, because this will boost up execution of my use case
a lot.
Could you give me a hint where to look in the sources to get a good starting
point for implementation?
Which classes are involved?
Hi Eduard,
This isn't impossible, just
Hi,
I enabled the metrics.properties to use FileContext, in which jvm
metrics values are written to a file as follows:
jvm.metrics: hostName= localhost, processName=MAP, sessionId=, gcCount=10,
gcTimeMillis=130, logError=0, logFatal=0, logInfo=21, logWarn=0,
memHeapCommittedM=180.1211,
From: Dan Yi d...@mediosystems.com
To: user@hadoop.apache.org user@hadoop.apache.org
Sent: Wednesday, August 29, 2012 12:57 PM
Subject: unsubscribe
unsubscribe
Hi Harsh
Thank you for your reply. Do you mean I need to change the FileSplit to
avoid those errors I mentioned happen?
Regards!
Chen
On Wed, Aug 29, 2012 at 2:46 AM, Harsh J ha...@cloudera.com wrote:
Hi Chen,
Does your record reader and mapper handle the case where one map split
may not
Do you know if you have enough job-load on the system? One way to look at this
is to look for running map/reduce tasks on the JT UI at the same time you are
looking at the node's cpu usage.
Collecting hadoop metrics via a metrics collection system say ganglia will let
you match up the
Thanks guys. Unfortunately I had started the datanode by local command
rather than from start-all.sh, so the related parts of the logs were
lost. I was watching the cpu loads on all 8 cores via gkrellm at the
time and they were definitely quiet. After a few minutes the jobs seemed
to get in sync
No, what I mean is that your RecordReader should be able to handle a
case where it may start from middle of a record and hence not be able
to read any record (i.e. return false or whatever right up front).
On Wed, Aug 29, 2012 at 1:27 PM, Chen He airb...@gmail.com wrote:
Hi Harsh
Thank you for
I have tried every trick to get self unsubscribed. Yesterday I got a mail
saying you can't unsubscribe once subscribed.
-Original Message-
From: Andy Isaacson [mailto:a...@cloudera.com]
Sent: 30 August 2012 03:25
To: user@hadoop.apache.org
Cc: Dan Yi; Jay
Subject: How to unsubscribe (was
That was a stupid joke. It wasn't real advice.
Have you sent email to the specific email address listed?
On Thu, Aug 30, 2012 at 12:35 AM, sathyavageeswaran sat...@morisonmenon.com
wrote:
I have tried every trick to get self unsubscribed. Yesterday I got a mail
saying you can't unsubscribe
Of course have sent emails to all permutations and combinations of emails
listed with appropriate subject matter.
From: Ted Dunning [mailto:tdunn...@maprtech.com]
Sent: 30 August 2012 10:12
To: user@hadoop.apache.org
Cc: Dan Yi; Jay
Subject: Re: How to unsubscribe (was Re: unsubscribe)
Can you say which addresses you sent emails so?
The merging of mailing lists may have left you subscribed to a different
group than you expected. Thus, your assumptions may not match what is
required. If you provide a specific list, somebody might be able to help
you.
Also, I was asking about
I sent to user-unsubscr...@hadoop.apache.org in the beginning.
Followed by that I mailed to the links that the automatic mail sends in
vain.
Later I thought of all possible permutations that are possible using the 15
alphabets and once character that is in the email address of
Nicely done.
This seems to indicate that there might be a bug in the mailing list
management configuration. Not sure how that would happen with exmlm, but
it seems more plausible.
One last question, though, is the email address that you sent the
unsubscribe requests from the same as the mailing
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