Mithila Nagendra wrote:
Hey Steve
I deleted what ever I needed to.. still no luck..
You said that the classpath might be messed up.. Is there some way I can
reset it? For the root user? What path do I set it to.
Let's start with what kind of machine is this? Windows? or Linux. If
Linux, whic
Hi,
I have encountered some IOExceptions in Datanode, while some
intermediate/temporary map-reduce data is written to HDFS.
2008-11-25 18:27:08,070 INFO org.apache.hadoop.dfs.DataNode: writeBlock
blk_-460494523413678075 received exception java.io.IOException: Block
blk_-460494523413678075 is vali
Is there an easy way to get Reduce Output Bytes?
Reduce Output bytes not available directly but perhaps can be inferred
from File system Read/Write bytes counters.
Hi all,
I am doing a very simple Map that determines an integer value to
assign to an input (1-64000).
The reduction does nothing, but I then use this output formatter to
put the data in a file per Key.
public class CellBasedOutputFormat extends
MultipleTextOutputFormat {
@Override
Hi Lohit,
Our teams collects those kinds of measurements using this patch:
https://issues.apache.org/jira/browse/HADOOP-4559
Some example Java code in the comments shows how to access the data,
which is serialized as JSON. Looks like the "red_hdfs_bytes_written"
value would give you that.
Be
Hi Dennis,
There were some discussions on this topic earlier:
http://issues.apache.org/jira/browse/HADOOP-3799
Do you have any specific use-case for this feature?
thanks,
dhruba
On Mon, Nov 24, 2008 at 10:22 PM, Owen O'Malley <[EMAIL PROTECTED]> wrote:
>
> On Nov 24, 2008, at 8:44 PM, Mahadev
Hi,
I'm testing Hadoop to see if we could use for complex calculations next to
the 'standard' implementation. I've set up a grid with 10 nodes and if I run
the RandomTextWriter example only 2 nodes are used as mappers, while I
specified 10 mappers to be used. The other nodes are used for storage,
Thanks sharad and paco.
Lohit
On Nov 25, 2008, at 5:34 AM, "Paco NATHAN" <[EMAIL PROTECTED]> wrote:
Hi Lohit,
Our teams collects those kinds of measurements using this patch:
https://issues.apache.org/jira/browse/HADOOP-4559
Some example Java code in the comments shows how to access the data
Hey steve
The version is: Linux enpc3740.eas.asu.edu 2.6.9-67.0.20.EL #1 Wed Jun 18
12:23:46 EDT 2008 i686 i686 i386 GNU/Linux, this is what I got when I used
the command uname -a
On Tue, Nov 25, 2008 at 1:50 PM, Steve Loughran <[EMAIL PROTECTED]> wrote:
> Mithila Nagendra wrote:
>
>> Hey Steve
>
Mithila Nagendra wrote:
Hey steve
The version is: Linux enpc3740.eas.asu.edu 2.6.9-67.0.20.EL #1 Wed Jun 18
12:23:46 EDT 2008 i686 i686 i386 GNU/Linux, this is what I got when I used
the command uname -a
On Tue, Nov 25, 2008 at 1:50 PM, Steve Loughran <[EMAIL PROTECTED]> wrote:
Mithila Nagendr
Hi,
I would like to know how does ChainMapper and ChainReducer save IO ?
The doc says the output of first mapper becomes the input of second and so
on. So does this mean, the output of first map is *not* written to HDFS and
a second map process is started that operates on the data generated by fi
Hi all,
If I want to have an in memory "lookup" Hashmap that is available in
my Map class, where is the best place to initialise this please?
I have a shapefile with polygons, and I wish to create the polygon
objects in memory on each node's JVM and have the map able to pull
back the objects by i
You should use the DistributedCache:
<
http://www.cloudera.com/blog/2008/11/14/sending-files-to-remote-task-nodes-with-hadoop-mapreduce/
>
and
<
http://hadoop.apache.org/core/docs/current/mapred_tutorial.html#DistributedCache
>
Hope this helps!
Alex
On Tue, Nov 25, 2008 at 11:09 AM, tim robert
Hi
Thanks Alex - this will allow me to share the shapefile, but I need to
"one time only per job per jvm" read it, parse it and store the
objects in the index.
Is the Mapper.configure() the best place to do this? E.g. will it
only be called once per job?
Thanks
Tim
On Tue, Nov 25, 2008 at 8:1
tim robertson wrote:
Thanks Alex - this will allow me to share the shapefile, but I need to
"one time only per job per jvm" read it, parse it and store the
objects in the index.
Is the Mapper.configure() the best place to do this? E.g. will it
only be called once per job?
In 0.19, with HADOOP-
Hi Doug,
Thanks - it is not so much I want to run in a single JVM - I do want a
bunch of machines doing the work, it is just I want them all to have
this in-memory lookup index, that is configured once per job. Is
there some hook somewhere that I can trigger a read from the
distributed cache, or
Fyi - Owen is referring to:
https://issues.apache.org/jira/browse/HADOOP-2559
On 11/24/08 10:22 PM, "Owen O'Malley" <[EMAIL PROTECTED]> wrote:
On Nov 24, 2008, at 8:44 PM, Mahadev Konar wrote:
> Hi Dennis,
> I don't think that is possible to do.
No, it is not possible.
> The block place
Hey Tim
The .configure() method is what you are looking for i believe.
It is called once per task, which in the default case, is once per jvm.
Note Jobs are broken into parallel tasks, each task handles a portion
of the input data. So you may create your map 100 times, because there
are 100
Thanks Chris,
I have a different test running, then will implement that. Might give
cascading a shot for what I am doing.
Cheers
Tim
On Tue, Nov 25, 2008 at 9:24 PM, Chris K Wensel <[EMAIL PROTECTED]> wrote:
> Hey Tim
>
> The .configure() method is what you are looking for i believe.
>
> It i
cool. If you need a hand with Cascading stuff, feel free to ping me on
the mail list or #cascading irc. lots of other friendly folk there
already.
ckw
On Nov 25, 2008, at 12:35 PM, tim robertson wrote:
Thanks Chris,
I have a different test running, then will implement that. Might give
ca
Hi Konstantin (et al.);
A while ago you gave me the following trick to run TestDFSIO to an
output directory other than the default- just use
-Dtest.build.data=/output/dir to pass the new directory to the
executable. I recall this working, but it is failing now under 0.18.1,
and looking at it I c
I am trying to migrate from 32 bit jvm and 64 bit for namenode only.
*setup*
NN - 64 bit
Secondary namenode (instance 1) - 64 bit
Secondary namenode (instance 2) - 32 bit
datanode- 32 bit
From the mailing list I deduced that NN-64 bit and Datanode -32 bit
On 11/25/08 3:58 PM, "Sagar Naik" <[EMAIL PROTECTED]> wrote:
> I am trying to migrate from 32 bit jvm and 64 bit for namenode only.
> *setup*
> NN - 64 bit
> Secondary namenode (instance 1) - 64 bit
> Secondary namenode (instance 2) - 32 bit
> datanode- 32
I might be wrong, but my assumption is running SN either in 64/32 shouldn't
matter.
But I am curious how two instances of Secondary namenode is setup, will both of
them talk to same NN and running in parallel?
what are the advantages here.
Wondering if there are chances of image corruption.
T
lohit wrote:
I might be wrong, but my assumption is running SN either in 64/32 shouldn't matter.
But I am curious how two instances of Secondary namenode is setup, will both of them talk to same NN and running in parallel?
what are the advantages here.
I just have multiple entries master fi
Well, if I think about, image corruption might not happen, since each
checkpoint initiation would have unique number.
I was just wondering what would happen in this case
Consider this scenario.
Time 1 <-- SN1 asks NN image and edits to merge
Time 2 <-- SN2 asks NN image and edits to merge
Time 2
I have an app that runs for a long time with no problems, but when I
signal it to shut down, I get errors like this:
java.io.IOException: Filesystem closed
at org.apache.hadoop.dfs.DFSClient.checkOpen(DFSClient.java:196)
at org.apache.hadoop.dfs.DFSClient.rename(DFSClient.java:5
Hi All,
I try to divide some data into partitions explicitly (like regions of
Hbase). I wonder the following way to do is the best method.
For example, when we assume a block size 64MB, a file potion
corresponding to 0~63MB is allocated to first block?
I have three questions as follows:
Is the
Hi all,
Can someone pls guide me on how to get a directory listing of files on
HDFS using the java API (0.19.0)?
Regards,
Shane
You can see how 'hadoop dfs -ls' is implemented in FsShell::ls(Path src,
boolean recursive, boolean printHeader) in FsShell.java
Thanks,
Lohit
- Original Message
From: Shane Butler <[EMAIL PROTECTED]>
To: [EMAIL PROTECTED]
Sent: Tuesday, November 25, 2008 8:04:48 PM
Subject: HDFS direc
Do you have speculative execution enabled? I've seen error messages
like this caused by speculative execution.
David
Bryan Duxbury wrote:
> I have an app that runs for a long time with no problems, but when I
> signal it to shut down, I get errors like this:
>
> java.io.IOException: Filesystem c
Does your code ever call fs.close()? If so, https://issues.apache.org/
jira/browse/HADOOP-4655 might be relevant to your problem.
On Nov 25, 2008, at 9:07 PM, David B. Ritch wrote:
Do you have speculative execution enabled? I've seen error messages
like this caused by speculative execution.
Hi all,
I want to retrieve the Rack ID of every datanode. How can I do this?
I tried using getNetworkLocation() in
org.apache.hadoop.hdfs.protocol.DatanodeInfo. I am getting /default-rack
as the output for all datanodes.
Any advice?
Thank in advance
Ramya
/default-rack is set when datanode has not set rackID. It is upto the datanode
to tell namenode which rack it belongs to.
Is your datanode doing that explicitly ?
-Lohit
- Original Message
From: Ramya R <[EMAIL PROTECTED]>
To: core-user@hadoop.apache.org
Sent: Tuesday, November 25, 200
Ramya R wrote:
Hi all,
I want to retrieve the Rack ID of every datanode. How can I do this?
I tried using getNetworkLocation() in
org.apache.hadoop.hdfs.protocol.DatanodeInfo. I am getting /default-rack
as the output for all datanodes.
Have you setup the cluster to be rack-aware? Atleas
The design is such that running multiple secondary namenodes should not
corrupt the image (modulo any bugs). Are you seeing image corruptions when
this happens?
You can run all or any daemons in 32-bit mode or 64 bit-mode. You can
mix-and-match. If you have many millions of files, then you might w
Hi Lohit,
I have not set the datanode to tell namenode which rack it belongs to.
Can you please tell me how do I do it? Is it using setNetworkLocation()?
My intention is to kill the datanodes in a given rack. So it would be
useful even if I obtain the subnet each datanode belongs to.
Thanks
Ra
I have a system which uses HDFS to store files on multiple nodes. On
each HDFS node machine I have another application which reads the
local files. Until know my system worked only with files, HDFS seemed
like the right solution and everything worked fine. Now I need to save
additional information
hi Ramya
Setup topology.script.file.name in your hadoop-site.xml and the script.
check http://hadoop.apache.org/core/docs/current/cluster_setup.html ,
Hadoop Rack Awareness section.
Hi Lohit,
I have not set the datanode to tell namenode which rack it belongs to.
Can you please tell me ho
Hi Shimi
HBase (or BigTable) is a sparse, distributed, persistent
multidimensional sorted map ,
Jim R. Wilson have a excellent article for understanding it :
http://jimbojw.com/wiki/index.php?title=Understanding_HBase_and_BigTable
I have a system which uses HDFS to store files on multiple no
Dear Freinds,
How we get hadoop old version.
--
Regards,
Rashid Ahmad
Hi list,
I added a property dfs.hosts.exclude to my conf/hadoop-site.xml. Then
refreshed my cluster with command
bin/hadoop dfsadmin -refreshNodes
It showed that it can only shut down the DataNode process but not included
the TaskTracker process on each slaver specified in th
Hi list,
I added a property dfs.hosts.exclude to my conf/hadoop-site.xml. Then
refreshed my cluster with command
bin/hadoop dfsadmin -refreshNodes
It showed that it can only shut down the DataNode process but not included
the TaskTracker process on each slaver specified in th
Jeremy Chow wrote:
Hi list,
I added a property dfs.hosts.exclude to my conf/hadoop-site.xml. Then
refreshed my cluster with command
bin/hadoop dfsadmin -refreshNodes
It showed that it can only shut down the DataNode process but not included
the TaskTracker process on each s
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