Hi all
My hadoop version is 1.1.2
I found the following errors in the logs tasktracker
This seems like https://issues.apache.org/jira/browse/MAPREDUCE-5
But, but I found a little different, as Caused by: java.io.IOException:
Connection reset by peer
Whether it is a network problem caused it?
I also found this issue. Hope answer here.
Sent from my iPhone5s
On 2014年1月2日, at 16:56, centerqi hu cente...@gmail.com wrote:
Hi all
My hadoop version is 1.1.2
I found the following errors in the logs tasktracker
This seems like https://issues.apache.org/jira/browse/MAPREDUCE-5
Hi,
As I know, the Distributed Cache will copy the shared data to the slaves
before starting job, and won't change the shared data after that.
So are there any solutions to share dynamic data among mappers/reducers?
Thanks!
I did everything mentioned in the link Ted mentioned, and the test actually
works, but using Snappy for MapReduce map output compression still fails
with native snappy library not available.
On Wed, Jan 1, 2014 at 6:37 PM, bharath vissapragada
bharathvissapragada1...@gmail.com wrote:
Did you
Your natives should be in LD_LIBRARY_PATH or java.library.path for hadoop
to pick them up. You can try adding export HADOOP_OPTS=$HADOOP_OPTS
-Djava.library.path=Path to your natives lib to hadoop-env.sh in TTs and
clients/gateways and restart TTs and give it another try. The reason its
working
Thanks Harsh! Looks like something that might be useful! I appreciate it!
*Devin Suiter*
Jr. Data Solutions Software Engineer
100 Sandusky Street | 2nd Floor | Pittsburgh, PA 15212
Google Voice: 412-256-8556 | www.rdx.com
On Tue, Dec 31, 2013 at 1:08 AM, Harsh J ha...@cloudera.com wrote:
Hey
If you really confirmed that libsnappy.so.1 is in the correct location, and
being loaded into java library path, working in your test program, but still
didn't work in MR, there is one another possibility which was puzzling me
before.
How do you get the libhadoop.so in your hadoop environment?
Amit
You may also need to check whether the native library you are using includes
Snappy or not.
For example, when you compile from source and the libsnappy.so is not found
then snappy support is not included as part of the native library for Hadoop
(for force it to fail if libsnappy is not
A few things you can try
a) If you don't care about virtual memory controls at all you can
bypass it by doing the following change in the XML and restarting YARN.
Only you know if this is OK for the application you are trying (IMO the
virtual memory being used is huge!)
property
Perhaps some of the data you require can be obtained with the mapred tool
(here I’m using 2.2.0)
e.g.
htf@ivygerman:~/hadoop/bin$ ./mapred job
Usage: CLI command args
[-submit job-file]
[-status job-id]
[-counter job-id group-name counter-name]
You need to change the application configuration itself to tell YARN that each
task needs more than the default. I see that this is a mapreduce app, so you
have to change the per-application configuration: mapreduce.map.memory.mb and
mapreduce.reduce.memory.mb in either mapred-site.xml or via
There isn't anything natively supported for that in the framework, but you can
do that yourselves by using a shared service (for e.g via HDFS files, ZooKeeper
nodes) that mappers/reducers all have access to.
More details on your usecase? In any case, once you start making mappers and
reducers
Check the TaskTracker configuration in mapred-site.xml:
mapred.task.tracker.report.address. You may be setting it to 127.0.0.1:0 or
localhost:0. Change it to 0.0.0.0:0 and restart the daemons.
Thanks,
+Vinod
On Jan 1, 2014, at 2:14 PM, navaz navaz@gmail.com wrote:
I dont know y it is
Hi Guys,
we recently installed CDH5 in our test cluster. we need any test job for
YARN framework.
we are able to run mapreduce job successfully on YARN framework without
code change.
But we need to test yarn job functionality. can you please guide me.
we tired
Hi,
Our prod cluster met some issues recently,
All map tasks finished successfully, but reduce task hanged.
but It's not happened on all TaskTrackers, only sometimes. we used
mapred-1.0.4
There is 0.0% reduce copy forever until kill task manually.
reduce logs on the TaskTracker:
Add addtional:
Our MR version is 1.2.1, not 1.0.4
There is no useful information in the JT log.
On Fri, Jan 3, 2014 at 12:20 PM, Azuryy Yu azury...@gmail.com wrote:
Hi,
Our prod cluster met some issues recently,
All map tasks finished successfully, but reduce task hanged.
but It's not
Hi Dhahasekaran,
You can use the Hadoop workload to do this testing. The key is to set the
HADOOP_CONF_DIR envar to the right location:
*Yarn*
export HADOOP_CONF_DIR=/etc/hadoop/conf.cloudera.yarn1
hadoop fs -rm -r /terasort/TS_input2
yarn jar
Does the Reduce task log (of attempt_201312201200_34795_r_00_0)
show any errors in trying to communicate with the various TaskTrackers
in trying to obtain the data?
On Fri, Jan 3, 2014 at 9:54 AM, Azuryy Yu azury...@gmail.com wrote:
Add addtional:
Our MR version is 1.2.1, not 1.0.4
There
Hi,
Need to convert XML into text using mapreduce.
I have used DOM and SAX parser.
After using SAX Builder in mapper class. the child node act as root Element.
While seeing in Sys out i found thar root element is taking the child
element and printing.
For Eg,
Hi Harsh,
Thanks.
There is no any error logs for attempt_201312201200_34795_r_00_0 in the
tasktracker log. only '0.0% reduce copy '
I configured all hosts in all slaves and master.
This job has only one reduce. it hanged. but I configured everybody's max
job running to '1' in the Fair
In detail:
'and these people's job never hanged...'
these people's map and reduce tasks never hanged.
On Fri, Jan 3, 2014 at 1:46 PM, Azuryy Yu azury...@gmail.com wrote:
Hi Harsh,
Thanks.
There is no any error logs for attempt_201312201200_34795_r_00_0 in
the tasktracker log. only
Hi,
you can use org.apache.hadoop.streaming.StreamInputFormat using map reduce
to convert XML to text.
such as your xml like this:
xml
namelll/name
/xml
you need to specify stream.recordreader.begin and stream.recordreader.end
in the Configuration:
Configuration conf = new Configuration();
Thanks, Peyman. The problem is that the dependence is not simply a key,
instead it's so complicated that without #Fields line in one block, it's
not even able to parse any line in another block.
2014/1/1 Peyman Mohajerian mohaj...@gmail.com
You can run a series of map-reduce jobs on your data,
Container [pid=8689,containerID=container_1388722003823_0001_01_62] is
running beyond physical memory limits. Current usage: 4.1 GB of 4 GB
physical memory used; 4.9 GB of 8.4 GB virtual memory used. Killing
container.
Dump of the process-tree for container_1388722003823_0001_01_62 :
|-
Container [pid=8689,containerID=container_1388722003823_0001_01_62] is
running beyond physical memory limits. Current usage: 4.1 GB of 4 GB
physical memory used; 4.9 GB of 8.4 GB virtual memory used. Killing
container.
Dump of the process-tree for container_1388722003823_0001_01_62 :
|-
hi, i submit a MR job through hive ,but when it run stage-2 ,it failed why?
it seems permission problem ,but i do not know which dir cause the problem
Application application_1388730279827_0035 failed 1 times due to AM
Container for appattempt_1388730279827_0035_01 exited with exitCode:
Could you check your yarn-local directory authority? From the diagnosis,
error occurs at mkdir in local directory.
I guess something wrong with local direcotry which is set as yarn local
dir.
2014/1/3 ch huang justlo...@gmail.com
hi, i submit a MR job through hive ,but when it run stage-2
If memory of node manager is enough, please boost up the physical memory,
and heap size of reduce task.
-Dmapreduce.reduce.memory.mb=6144 -Dmapreduce.reduce.java.opts=-Xmx5120M
2014/1/3 Baron Tsai tsaize...@gmail.com
Container [pid=8689,containerID=container_1388722003823_0001_01_62] is
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