It depends on the input format you use. You probably want to look at using
NLineInputFormat
From: Devi Kumarappan kpala...@att.netmailto:kpala...@att.net
Reply-To:
mapreduce-u...@hadoop.apache.orgmailto:mapreduce-u...@hadoop.apache.org
...@hadoop.apache.org
Subject: Re: Issue with Hadoop Streaming
My mapper is perl script and it is not in Java.So how do I specify the
NLineFormat?
From: Robert Evans ev...@yahoo-inc.commailto:ev...@yahoo-inc.com
To: mapreduce-u...@hadoop.apache.orgmailto:mapreduce-u
The default text input format has a key of a LongWritable that is the
offset into the file. The value is the full line.
On 8/2/12 2:59 PM, Harit Himanshu harit.himan...@gmail.com wrote:
StackOverflow link -
http://stackoverflow.com/questions/11784729/hadoop-java-lang-classcastexce
26, 2012 at 11:59 PM, Robert Evans ev...@yahoo-inc.com
wrote:
OK I think I understand it now. You probably have ACLs enabled, but no
web filter on the RM to let you sign in as a given user. As such the
default filter is making you be Dr. Who, or whomever else it is, but the
ACL check
it as I
just moved on to further coding :)
Thanks,
Prajakta
On Thu, Jul 26, 2012 at 1:40 AM, Robert Evans ev...@yahoo-inc.com wrote:
Hmm, that is very odd. It only checks the user if security is enabled
to
warn the user about potentially accessing something unsafe. I am not
sure
why
). It supports RESTful APIs
as
I am able to retrieve JSON objects for RM (cluster/nodes info)+
Historyserver. The only issue is with AppMaster REST API.
Regards,
Prajakta
On Fri, Jul 6, 2012 at 10:55 PM, Robert Evans ev...@yahoo-inc.com
wrote:
What version of hadoop are you using? It could
.
Regards,
Prajakta
On Fri, Jul 6, 2012 at 10:22 PM, Robert Evans ev...@yahoo-inc.com
wrote:
Sorry I did not respond sooner. The default behavior is to have
the
proxy
server run as part of the RM. I am not really sure why it is not
doing
this in your case. If you set
in advance.
Regards,
Prajakta
On Fri, Jun 29, 2012 at 8:55 PM, Robert Evans ev...@yahoo-inc.com
wrote:
Please don't file that JIRA. The proxy server is intended to front the
web server for all calls to the AM. This is so you only have to go to
a
single location to get to any AM's web
:22 PM, Robert Evans ev...@yahoo-inc.com wrote:
Sorry I did not respond sooner. The default behavior is to have the
proxy
server run as part of the RM. I am not really sure why it is not doing
this in your case. If you set the config yourself to be a URI that is
different from that of the RM
Yang,
I would not call it a bug, I would call it a potential optimization. The
default input format for streaming will try to create one mapper per
block, but if there is only one block it will create two mappers for it.
You can override the streaming input format to get a different behavior.
0.23 is also somewhat of an Alpha/Beta quality and I would not want to run
it in production just yet. 0.23 was renamed 2.0 and development work has
continued on both lines. New features have been going into 2.0 and 0.23
has been left only for stabilization. Hopefully we will have 0.23.3 to
the
There are several different ways. One of the ways is to use something
like Hcatalog to track the format and location of the dataset. This may
be overkill for your problem, but it will grow with you. Another is to
store the scheme with the data when it is written out. Your code may need
to the
Please don't file that JIRA. The proxy server is intended to front the
web server for all calls to the AM. This is so you only have to go to a
single location to get to any AM's web service. The proxy server is a
very simple proxy and just forwards the extra part of the path on to the
AM.
If
is not preserved, for
other operations again data may be in wrong order in the row.
To me it seems like it is not possible to do this in MR.
On Fri, Jun 22, 2012 at 12:56 AM, Robert Evans ev...@yahoo-inc.com wrote:
That may be true, I have not read through the code very closely, if you
have multiple
That may be true, I have not read through the code very closely, if you have
multiple reduces, so you can run it with a single reduce or you can write a
custom partitioner to do it. You only need to know the length of the column,
and then you can divide them up appropriately, kind of like how
, because, I have some ideas behind this, for
example: to release a Spanish version of the tutorial.
Regards and best wishes
On 04/04/2012 05:29 PM, Robert Evans wrote:
Re: Yahoo Hadoop Tutorial with new APIs? I am dropping the cross posts and
leaving this on common-user with the others BCCed
cluster? Do you backup
specific parts of the cluster? Some form of offsite SAN?
On Tue, May 29, 2012 at 6:02 PM, Robert Evans ev...@yahoo-inc.com wrote:
Yes you will have redundancy, so no single point of hardware failure can
wipe out your data, short of a major catastrophe. But you can still have
Yes you will have redundancy, so no single point of hardware failure can wipe
out your data, short of a major catastrophe. But you can still have an errant
or malicious hadoop fs -rm -rf shut you down. If you still have the original
source of your data somewhere else you may be able to
Yes you can do it. In pig you would write something like
A = load ‘a.txt’ as (id, name, age, ...)
B = load ‘b.txt’ as (id, address, ...)
C = JOIN A BY id, B BY id;
STORE C into ‘c.txt’
Hive can do it similarly too. Or you could write your own directly in
map/redcue or using the data_join jar.
Be careful putting them in HDFS. It does not scale very well, as the number of
file opens will be on the order of Number of Mappers * Number of Reducers. You
can quickly do a denial of service on the namenode if you have a lot of mappers
and reducers.
--Bobby Evans
On 5/21/12 4:02 AM, Harsh
Zhiwei,
How quickly do you have to get the result out once the new data is added? How
far back in time do you have to look for from the occurrence of ? Do
you have to do this for all combinations of values or is it just a small subset
of values?
--Bobby Evans
On 5/21/12 3:01 PM,
There is an idle timeout for map/reduce tasks. If a task makes no progress for
10 min (Default) the AM will kill it on 2.0 and the JT will kill it on 1.0.
But I don't know of anything associated with a Job, other then in 0.23 is the
AM does not heart beat back in for too long, I believe that
which is good in documentation ( wiki ) is Apache Mahout
we can learn from them , lots of extensible references , presentations ,
tutorials all at one place at wiki to refer.
On Mon, May 7, 2012 at 9:19 PM, Robert Evans ev...@yahoo-inc.com wrote:
I agree that better documentation is almost
I believe that you are correct about the split processing. It orders the
splits by size so that the largest splits are processed first. This allows for
the smaller splits to potentially fill in the gaps. As far as a fix is
concerned I think overriding the file name in the file output
I agree that better documentation is almost always needed. The problem is in
finding the time to really make this happen. If you or anyone else here wants
to help out with this effort please feel free to file JIRAs and submit patches
to improve the documentation. Even if all the patch is, is
Do you have the error message from running java? You can use myMapper.sh to
help you debug what is happening and logging it. Stderr of myMapper.sh is
logged and you can get to it. You can run shell commands link find, ls, and
you can probably look at any error messages that java produced
You are likely going to get more help from talking to the Mahout mailing list.
https://cwiki.apache.org/confluence/display/MAHOUT/Mailing+Lists,+IRC+and+Archives
--Bobby Evans
On 4/28/12 7:45 AM, Lukáš Kryške lu...@hotmail.cz wrote:
Hello,
I am successfully running K-Means clustering
Do you mean that when multiple map jobs run on the same node, that there is a
combiner that will run across all of that code. There is nothing for that
right now. It seems like it could be somewhat difficult to get right given the
current architecture.
--Bobby Evans
On 4/27/12 11:13 PM,
Hadoop itself is the core Map/Reduce and HDFS functionality. The higher level
algorithms like sentiment analysis are often done by others. Cloudera has a
video from HadoopWorld 2010 about it
http://www.cloudera.com/resource/hw10_video_sentiment_analysis_powered_by_hadoop/
And there are
The current code guarantees that they will be received in order. There some
patches that are likely to go in soon that would allow for the JVM itself to be
reused. In those cases I believe that the mapper class would be recreated, so
the only thing you would have to worry about would be
-Original Message- From: Robert Evans
Sent: Thursday, April 19, 2012 2:08 PM
To: common-user@hadoop.apache.org
Subject: Re: Help me with architecture of a somewhat non-trivial
mapreduce implementation
From what I can see your implementation seems OK, especially from a
performance
You can use Oozie to do it.
On 4/20/12 8:45 AM, Arindam Choudhury arindamchoudhu...@gmail.com wrote:
Sorry. But I can you give me a example.
On Fri, Apr 20, 2012 at 3:08 PM, Harsh J ha...@cloudera.com wrote:
Arindam,
If your machine can access the clusters' NN/JT/DN ports, then you can
There was a discussion about this several months ago
http://mail-archives.apache.org/mod_mbox/hadoop-mapreduce-user/201112.mbox/%3CCADYHM8xiw8_bF=zqe-bagdfz6r3tob0aof9viozgtzeqgkp...@mail.gmail.com%3E
The conclusion is that if you want to read them from the reducer you are going
to have to do
From what I can see your implementation seems OK, especially from a
performance perspective. Depending on what storage: is it is likely to be your
bottlekneck, not the hadoop computations.
Because you are writing files directly instead of relying on Hadoop to do it
for you, you may need to
16, 2012 at 7:08 AM, Robert Evans ev...@yahoo-inc.com wrote:
Hi Abhishek,
Manu is correct about High Availability within a single colo. I realize
that in some cases you have to have fail over between colos. I am not
aware of any turn key solution for things like that, but generally what you
this...
And yeah its something one can't talk about ;-)
On Apr 19, 2012, at 4:28 PM, Robert Evans wrote:
Where I work we have done some things like this, but none of them are open
source, and I have not really been directly involved with the details of it.
I can guess about what it would take
/Rack_aware_HDFS_proposal.pdf
On Thu, Apr 12, 2012 at 2:18 AM, Abhishek Pratap Singh
manu.i...@gmail.comwrote:
Thanks Robert.
Is there a best practice or design than can address the High Availability
to certain extent?
~Abhishek
On Wed, Apr 11, 2012 at 12:32 PM, Robert Evans ev...@yahoo-inc.com
wrote:
No it does
No it does not. Sorry
On 4/11/12 1:44 PM, Abhishek Pratap Singh manu.i...@gmail.com wrote:
Hi All,
Just wanted if hadoop supports more than one data centre. This is basically
for DR purposes and High Availability where one centre goes down other can
bring up.
Regards,
Abhishek
Both streaming and pipes do very similar things. They will fork/exec a
separate process that is running whatever you want it to run. The JVM that is
running hadoop then communicates with this process to send the data over and
get the processing results back. The difference between streaming
I am dropping the cross posts and leaving this on common-user with the others
BCCed.
Marcos,
That is a great idea to be able to update the tutorial, especially if the
community is interested in helping to do so. We are looking into the best way
to do this. The idea right now is to donate
I am not aware of anyone that does this for you directly, but it should not be
too difficult for you to write what you want using pig or hive. I am not as
familiar with Jaql but I assume that you can do it there too. Although it
might be simpler to write it using Map/Reduce because we can
How are your splitting the zip right now? Do you have multiple mappers and
each mapper starts at the beginning of the zip and goes to the point it cares
about or do you just have one mapper? If you are doing it the first way you
may want to increase your replication factor. Alternatively you
I can see a use for it, but I have two concerns about it. My biggest concern
is maintainability. We have had lots of things get thrown into contrib in the
past, very few people use them, and inevitably they start to suffer from bit
rot. I am not saying that it will happen with this, but if
DataDriverDBInputFormat sexy for sure but
does not need to be part of core. I could see hadoop as just coming
with TextInputFormat and SequenceInputFormat and everything else is
after market from github,
On Wed, Feb 29, 2012 at 11:31 AM, Robert Evans ev...@yahoo-inc.com wrote:
I can see a use
(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.RunJar.main(RunJar.java:186)
at com.amd.wrapper.main.ParserWrapper.main(ParserWrapper.java:31)
Thanks,
Abees
On 2 February 2012 23:02, Robert Evans ev...@yahoo-inc.com wrote:
What happens
What happens? Is there an exception, does nothing happen? I am curious. Also
how did you launch your other job that is trying to run this one. The hadoop
script sets up a lot of environment variables classpath etc to make hadoop work
properly, and some of that may not be set up correctly to
I think it comes down to a long history of splitting and then remerging the
hadoop project. I could be wrong about a lot of this so take it worth a grain
of salt. Hadoop originally, and still is on 1.0 a single project. HDFS,
mapreduce and common are all compiled together into a single jar
You can use a combiner for average. You just have to write a separate combiner
from your reducer.
Class myCombiner {
//The value is sum/count pairs
void reduce(Key key, InterablePairLong, Long values, Context context) {
long sum = 0;
long count = 0;
for(PairLong,
Similarly there is the NLineInputFormat that does this automatically. If your
input is small it will read in the input and make a split for every N lines of
input. Then you don't have to reformat your data files.
--Bobby Evans
On 1/10/12 8:09 AM, GorGo gylf...@ru.is wrote:
Hi.
I am no
I think what you want to try and do is to use JNI rather then pipes or
streaming. PIPES has known issues and it is my understanding that its use is
now discouraged. The ideal way to do this is to use JNI to send your data to
the C code. Be aware that moving large amounts of data through JNI
Be aware that if half of your cluster goes down, depending of the version and
configuration of Hadoop, there may be a replication storm, as hadoop tries to
bring it all back up to the proper number of replications. Your cluster may
still be unusable in this case.
--Bobby Evans
On 1/7/12 2:55
Pleas don't cross post.
Common is BCCed. Each container has a vmem limit that is enforced, but not in
local mode. If this is for the app master then you can increase this amount so
that when you launch your AM you can set this amount through
SubmitApplicationRequest req; ...
Mark,
Are all of the tables used by all of the processes? Are all of the tables used
all of the time or are some used infrequently? Does the data in these lookup
tables change a lot or is it very stable? What is the actual size of the data,
yes 1 million entries, but is this 1 million 1kB,
There is currently no way to delete the data from the cache when you are done.
It is garbage collected when the cache starts to fill up (in LRU order if you
are on a newer release). The DistributedCache.addCacheFile is modifying the
JobConf behind the scenes for you. If you want to dig into
It seems logical too that launching 4000 map tasks on a 20 node cluster is
going to have a lot of overhead with it. 20 does not seem like the ideal
number, but I don't really know the internals of Cassandra that well. You
might want to post this question on the Cassandra list to see if they
What versions of Hadoop were you running with previously, and what version are
you running with now?
--Bobby Evans
On 11/4/11 9:33 AM, Brendan W. bw8...@gmail.com wrote:
Hi,
In the jobs running on my cluster of 20 machines, I used to run jobs (via
hadoop jar ...) that would spawn around 4000
4, 2011 at 11:04 AM, Robert Evans ev...@yahoo-inc.com wrote:
What versions of Hadoop were you running with previously, and what version
are you running with now?
--Bobby Evans
On 11/4/11 9:33 AM, Brendan W. bw8...@gmail.com wrote:
Hi,
In the jobs running on my cluster of 20 machines, I
with different accounts, can MapReduce cluster be
able to access HDFS directories and files (if authentication in HDFS
is enabled)?
Thanks!
Gerald
On Mon, Oct 10, 2011 at 12:36 PM, Robert Evans ev...@yahoo-inc.com wrote:
It should be possible to use multiple map/reduce clusters sharing the same
HDFS
. If that sentence is true, then I still don't have an explanation
of why our job didn't correctly push out new versions of the cache files
upon the startup and execution of JobConfiguration. We deleted them before
our job started, not during.
On Fri, Sep 23, 2011 at 9:35 AM, Robert Evans ev...@yahoo
wrote:
Who is in charge of getting the files there for the first time? The
addCacheFile call in the mapreduce job? Or a manual setup by the
user/operator?
On Tue, Sep 27, 2011 at 11:35 AM, Robert Evans ev...@yahoo-inc.com wrote:
The problem is the step 4 in the breaking sequence. Currently
...@gmail.com wrote:
From that interpretation, it then seems like it would be safe to delete the
files between completed runs? How could it distinguish between the files
having been deleted and their not having been downloaded from a previous
run?
On Tue, Sep 27, 2011 at 12:25 PM, Robert Evans ev...@yahoo
deleted and their not having been downloaded from a
previous run of the job? Is it state in memory that the taskTracker
maintains?
On Tue, Sep 27, 2011 at 1:44 PM, Robert Evans ev...@yahoo-inc.com wrote:
If you are never ever going to use that file again for any map/reduce task
in the future then yes
, you either
repopulate them (as well as their crc checksums) or you restart the
TaskTracker?
On Tue, Sep 27, 2011 at 3:03 PM, Robert Evans ev...@yahoo-inc.com wrote:
Yes, all of the state for the task tracker is in memory. It never looks at
the disk to see what is there, it only maintains
Can you include the complete stack trace of the IOException you are seeing?
--Bobby Evans
On 9/23/11 2:15 AM, Sofia Georgiakaki geosofie_...@yahoo.com wrote:
Good morning!
I would be grateful if anyone could help me about a serious problem that I'm
facing.
I try to run a hadoop job on a
Meng Mao,
The way the distributed cache is currently written, it does not verify the
integrity of the cache files at all after they are downloaded. It just assumes
that if they were downloaded once they are still there and in the proper shape.
It might be good to file a JIRA to add in some
of reducers are
in the range 2-12, and then if I increase the reducers further, the performance
gets worse and worse...
Any ideas would be helpful!
Thank you!
From: Robert Evans ev...@yahoo-inc.com
To: common-user@hadoop.apache.org common-user@hadoop.apache.org
Praveen,
If you are doing performance measurements be aware that having more datanodes
then tasktrackers will impact the performance as well (Don't really know for
sure how). It will not be the same performance as running on a cluster with
just fewer nodes over all. Also if you do shut off
Not that I know of. We scrape web pages which is a horrible thing to do.
There is a JIRA to add in some web service APIs to expose this type of
information, but it is not going to be available for a while.
--Bobby Evans
On 9/21/11 1:01 PM, Benyi Wang bewang.t...@gmail.com wrote:
I'm working
Another option to think about is that there is a Hamster project (
MAPREDUCE-2911 https://issues.apache.org/jira/browse/MAPREDUCE-2911 ) that
will allow OpenMPI to run on a Hadoop Cluster. It is still very preliminary
and will probably not be ready until Hadoop 0.23 or 0.24.
There are other
Parker,
The hadoop command itself is just a shell script that sets up your classpath
and some environment variables for a JVM. Hadoop provides a java API and you
should be able to use to write you application, without dealing with the
command line. That being said there is no Map/Reduce
Dmitry,
It sounds like an interesting idea, but I have not really heard of anyone doing
it before. It would make for a good feature to have tiered file systems all
mapped into the same namespace, but that would be a lot of work and complexity.
The quick solution would be to know what data you
The hadoop command is just a shell script that sets up the class path before
call java. I think if you set the ENV HADOOP_JAVA_OPTS then they will show up
on the command line, but you can look at the top of the hadoop shell script to
be sure. It has all the env vars it supports listed there
It has not been introduced yet. If you are referring to MRV2. It is targeted
to go into the 0.23 release of Hadoop, but is currently on the MR-279 branch.
Which should hopefully be merged to trunk in abut a week.
--Bobby
On 7/28/11 7:31 AM, real great.. greatness.hardn...@gmail.com wrote:
I am not completely sure what you are getting at. It looks like the output of
your c program is (And this is just a guess) NOTE: \t stands for the tab
character and in streaming it is used to separate the key from the value \n
stands for carriage return and is used to separate individual
Tom,
That assumes that you will never write to the same file from two different
mappers or processes. HDFS currently does not support writing to a single file
from multiple processes.
--Bobby
On 7/25/11 3:25 PM, Tom Melendez t...@supertom.com wrote:
Hi Folks,
Just doing a sanity check
on the namenode if you are
going to create lot of small files using this method.
--Bobby
On 7/25/11 3:30 PM, Robert Evans ev...@yahoo-inc.com wrote:
Tom,
That assumes that you will never write to the same file from two different
mappers or processes. HDFS currently does not support writing to a single
This is likely to be slow and it is not ideal. The ideal would be to modify
pknotsRG to be able to read from stdin, but that may not be possible.
The shell script would probably look something like the following
#!/bin/sh
rm -f temp.txt;
while read line
do
echo $line temp.txt;
done
exec
Sofia,
You can access any HDFS file from a normal java application so long as your
classpath and some configuration is set up correctly. That is all that the
hadoop jar command does. It is a shell script that sets up the environment for
java to work with Hadoop. Look at the example for the
From a practical standpoint if you just leave off the -mapper you will get an
IdentityMapper being run in streaming. I don't believe that -mapper will
understand something.class as a class file that should be loaded and used as
the mapper. I think you need to specify the class, including the
It looks like it tried to run your program and the program exited with a 1 not
a 0. What are the stderr logs like for the mappers that were launched, you
should be able to access them through the Web GUI? You might want to add in
some stderr log messages to you c program too. To be able to
I would suggest that you do the following to help you debug.
hadoop fs -cat
/user/yehdego/RNAData/RF00028_B.bpseqL3G5_seg_Centered_Method.txt | head -2 |
/data/yehdego/hadoop-0.20.2/pknotsRG-1.3/src/pknotsRG -
This is simulating what hadoop streaming is doing. Here we are taking the
first 2
Adarsh,
Yahoo! no longer has its own distribution of Hadoop. It has been merged into
the 0.20.2XX line so 0.20.203 is what Yahoo is running internally right now,
and we are moving towards 0.20.204 which should be out soon. I am not an
expert on Cloudera so I cannot really map its releases to
To add to that if you really want the file name to be the key instead of just
calling a different API in your map to get it you will probably need to write
your own input format to do it. It should be fairly simple and you can base it
off of an existing input format to do it.
--Bobby
On
Please don't cross post. I put common-user in BCC.
I really don't know for sure what is happening especially without the code or
more to go on and debugging something remotely over e-mail is extremely
difficult. You are essentially doing a cross which is going to be very
expensive no matter
Rita,
My understanding is that you do not need to setup map/reduce to use Hbase, but
I am not an expert on it. Contacting the Hbase mailing list would probably be
the best option to get your questions answered.
u...@hbase.apache.org
Their setup page might be able to help you out too
What exactly is linecount being output as in the new APIs?
--Bobby
On 6/7/11 11:21 AM, Shi Yu sh...@uchicago.edu wrote:
Hi,
I am wondering is there any built-in function to automatically add a
self-increment line number in reducer output (like the relation DB
auto-key).
I have this problem
I think the issue you are seeing is because the distributed cache is not set up
by default to create symlinks to the files it pulls over. If you want to
access them through symlinks in the local directory call
DistributedCache.createSymklink(conf) before submitting your job, otherwise you
can
Shantian,
You are correct. The other big factor in this is the cost of connections
between the Mappers and the Reducers. With N mappers and M reducers you will
make M*N connections between them. This can be a very large cost as well. The
basic tricks you can play are to filter data before
Parismav,
So you are more or less trying to scrape some data in a distributed way. Well
there are several things that you could do, just be careful I am not sure the
terms of service for the flickr APIs so make sure that you are not violating
them by downloading too much data. You probably
Also if you want something that is fairly fast and a lot less dev work to get
going you might want to look at pig. They can do a distributed order by that
is fairly good.
--Bobby Evans
On 5/26/11 2:45 AM, Luca Pireddu pire...@crs4.it wrote:
On May 25, 2011 22:15:50 Mark question wrote:
I'm
I'm not sure if this has been mentioned or not but in Machine Learning with
text based documents, the first stage is often a glorified word count action.
Except much of the time they will do N-Gram. So
Map Input:
Hello this is a test
Map Output:
Hello
This
is
a
test
Hello this
this is
is a
a
You are correct, that there is no easy and efficient way to do this.
You could create a new InputFormat that derives from FileInputFormat that makes
it so the files do not split, and then have a RecordReader that keeps track of
line numbers. But then each file is read by only one mapper.
What version of hadoop are you using?
On 5/14/11 9:37 AM, Lạc Trung trungnb3...@gmail.com wrote:
Hello everybody !
This exception was thrown when I tried to copy a file from local file to
HDFS.
This is my program :
***
import
If they are lots of large files, and you need to copy them quickly, i.e. Not
have all the data go through a single machine, you can use hadoop distcp too.
--Bobby
On 5/14/11 12:49 AM, Mahadev Konar maha...@apache.org wrote:
Jim,
you can use FileUtil.copy() methods to copy files.
Hope that
DoomUs,
To me it seems like it should be something at the application level and less at
the Hadoop level. I would think if there really is very little delta between
the runs then the application would save the output of a map only job, and the
next time would do a union of that and the output
I believe that opening a directory as a file will result in a file not found.
You probably need to set it to a glob, that points to that actual files.
Something like
/user/root/logs/2011/*/*/* for all entries in 2011, or
/user/root/logs/2011/01/*/* if you want to restrict it to just
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