New files added in 2.4.0 will not be there in the metadata of 2.3.0.
You need to add once again.
On 10/21/14, Manoj Samel manojsamelt...@gmail.com wrote:
Is the pre-upgrade metadata also kept updated with any changes one in 2.4.0
? Or is it just the 2.3.0 snapshot preserved?
Thanks,
On Sat,
Hello,
as far as I understand. Number of mappers you cannot drive. The number of
reducers you can control via PARALEL keyword. Number of containers on a
node is given by following combination of settings:
yarn.nodemanager.resource.memory-mb - set on a cluster. And following
properties can be
hi,maillist:
my cluster move from one IDC to another IDC ,when all done ,i run
job ,and find the job run on local box not on cluster ,why? it is normal on
old IDC!
please check your mapred-site.xml is available under conf.
On Tue, Oct 21, 2014 at 2:47 PM, ch huang justlo...@gmail.com wrote:
hi,maillist:
my cluster move from one IDC to another IDC ,when all done ,i run
job ,and find the job run on local box not on cluster ,why? it is normal on
Jakub, are you saying that we can't change the mappers per job through the
script, right? Because, otherwise, if invoking through command line or
code, then we can, I think. We do have this property mapreduce.job.maps.
Regards,
Shahab
On Tue, Oct 21, 2014 at 2:42 AM, Jakub Stransky
What I understand so far is that in pig you cannot decide how many mappers
will run. That is given by some optimalization - given the number of files,
size of blocks etc. What you can control is the number of reducers via
Parallel directive. But for sure you can SET mapreduce.job.maps but not
All,
Is it possible to consolidate two small data volumes (500GB each) into a
larger data volume (3TB)?
I'm thinking that as long as the block file names and metadata are
unique, then I should be able to shut down the datanode and use
something like tar or rsync to copy the contents of each
Yeah, compared to something as performant as java...
/sarcasm
On 10/20/2014 10:16 PM, Adaryl Bob Wakefield, MBA wrote:
Using an interpreted scripting language with something that is billing
itself as being fast doesn’t sound like the best idea...
B.
*From:* Russell Jurney
scala is not an interpreted language, from my non authoritative view it
seems to have 2-3 (thousand) more compile phases than java and as a result
some of the things you are doing that look like they are interpreted are
actually macro's that get converted into usually efficient java code.
About
@edwardcapriolo, funny running into you over here in the hadoop community.
=)
FWIW, I have the same perspective and had the same experience with Scala and
Spark.
(I had LISP/Scheme in College too. =)
Additionally, with the JDK8 enhancements (lambda expressions, method
references, etc.), there
Hi All,
I am wondering how can I simulate a Hadoop 2.0 Job using MiniCluster and
MiniDFS ? for example, I want to simulate a submission of a Hadoop job with
some map/reduce tasks given some data input splits.
Your help is really appreciated.
Yehia
Hi All,
I am wondering how can I simulate a Hadoop 2.0 Job using MiniCluster and
MiniDFS ? for example, I want to simulate a submission of a Hadoop job with
some map/reduce tasks given some data input splits.
Your help is really appreciated.
Maybe check TestMRJobs.java (
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapreduce/v2/TestMRJobs.java
) ?
— Hitesh
On Oct 21, 2014, at 10:01 AM, Yehia Elshater y.z.elsha...@gmail.com wrote:
Hi All,
I am wondering
yes, you can.
stop the cluster,
change your hdfs-site.xml on your datanode. (dfs.datanode.dir) to the large
volume.
copy two small data volumes to the large volumes, which was configured on
above.
start cluster.
then you are done.
On Tue, Oct 21, 2014 at 9:57 PM, Brian C. Huffman
Hi all,
I am using Monit to monitor hadoop processes and automatically restart them
when failed.
From time to time, however, a hadoop process (e.g., namenode) runs with the
PID, saying , while its pid file (in
/var/run/hadoop-hdfs/hadoop-hdfs-namenode.pid) has a different value, saying
15 matches
Mail list logo
