thanks, Alan, it works!
2014-03-07 11:21 GMT+08:00 Alan Paulsen :
> Hi Fengyun,
>
>
>
> Here's what I've done in the past when facing a similar issue:
>
>
>
> 1) Set the map output schema to a UNION of both of your target
> schemas, A and B.
>
> 2) Serialize the data in the mappers, us
Hi:
i have a problem when run Hibench with hadoop-2.2.0, the wrong message
list as below
14/03/07 13:54:53 INFO mapreduce.Job: map 19% reduce 0%
14/03/07 13:54:54 INFO mapreduce.Job: map 21% reduce 0%
14/03/07 14:00:26 INFO mapreduce.Job: Task Id :
attempt_1394160253524_0010_m_20_0, St
Hi MJ, Extremely sorry for a late response...Had some infrastructure issues
here...
I am using Hadoop 2.3.0. Actually when i was trying to solve this AppMaster
issue, i came up with a strange observation. "STICKY SLOT" of app-master to
only the data node at the Master node if i set the following p
ah, yes, I was experiencing some errors on the imported modules, but I
fixed it myself manually. Not sure other people has encounter the same
problem. Here's a link: http://wiki.apache.org/hadoop/EclipseEnvironment
On Thu, Mar 6, 2014 at 9:30 PM, Avinash Kujur wrote:
> i did that. but i have so
yep that did the job :)
I use readFully instead and it works well~~thank you~
2014-03-07 13:48 GMT+08:00 Binglin Chang :
> the semantic of read does not guarantee read as much as possible. you need
> to call read() many times or use readFully
>
>
> On Fri, Mar 7, 2014 at 1:32 PM, hequn cheng wr
You can try to get the source code
https://github.com/twitter/hadoop-lzo and then compile it against
hadoop 2.2.0.
In my memory, as long as rebuild it, lzo should work with hadoop 2.2.0
On Thu, Mar 6, 2014 at 6:29 PM, KingDavies wrote:
> Running on Hadoop 2.2.0
>
> The Java MR2 job works as ex
the semantic of read does not guarantee read as much as possible. you need
to call read() many times or use readFully
On Fri, Mar 7, 2014 at 1:32 PM, hequn cheng wrote:
> Hi~
> First, i use FileSystem to open a file in hdfs.
> FSDataInputStream m_dis = fs.open(...);
>
> Second, read th
If you just want to install a cluster to play with, download the
hadoop-2.3.0.tar.gz (127MB).
On Fri, Mar 7, 2014 at 12:32 PM, Mahmood Naderan wrote:
> hadoop-2.3.0.tar.gz (127MB)
--
Cheers
-MJ
Hi~
First, i use FileSystem to open a file in hdfs.
FSDataInputStream m_dis = fs.open(...);
Second, read the data in m_dis to a byte array.
byte[] inputdata = new byte[m_dis.available()];
//m_dis.available = 47185920
m_dis.read(inputdata, 0, 20 * 1024 * 768 * 3);
the
i did that. but i have some doubt while importing code. because its showing
some warning and error on imported modules. i was wondering if u could give
me any proper procedure link.
On Thu, Mar 6, 2014 at 9:21 PM, Zhijie Shen wrote:
> mvn eclipse:eclipse, and then import the existing projects i
mvn eclipse:eclipse, and then import the existing projects in eclipse.
- Zhijie
On Thu, Mar 6, 2014 at 9:00 PM, Avinash Kujur wrote:
> hi,
>
> i have downloaded the hadoop code. And executed maven command
> successfully. how to import hadoop source code cleanly. because its showing
> red excla
hi,
i have downloaded the hadoop code. And executed maven command successfully.
how to import hadoop source code cleanly. because its showing red
exclamation mark on some of the modules while i am importing it.
help me out.
thanks in advance.
Thanks for the update. Let me ask a question before continuing the
installation. It has been stated
>>To get a Hadoop distribution, download a recent stable release from one of
>>the Apache Download Mirrors.
Do you mean the source package or the other?
hadoop-2.3.0-src.tar.gz (14MB)
hadoop-2.
Running your Driver class from Eclipse should automatically run it in
the local runner mode (as thats the default mode).
You shouldn't need a local Hadoop install for this.
On Thu, Mar 6, 2014 at 11:36 AM, Radhe Radhe
wrote:
> Hi All,
>
> I'm trying to get some hands-on on the Map Reduce program
Hi Fengyun,
Here's what I've done in the past when facing a similar issue:
1) Set the map output schema to a UNION of both of your target schemas,
A and B.
2) Serialize the data in the mappers, using the avro datum as the
value.
3) Figure out what the avro schema is for eac
Hi RR,
You don't need to have the actual Hadoop daemons running on windows
machince. Just install Cygwin and ensure that you have all the required
Hadoop jars in the class path of your program. You can test/debug directly
from the IDE itself just by saying "Run As" -> "Java Application" on the
dri
You can read from http://resource-manager.host.ip:8088/conf
This is an xml format file you can use directly.
Regards,
*Stanley Shi,*
On Fri, Mar 7, 2014 at 1:46 AM, John Lilley wrote:
> How would I go about fetching configuration values (e.g. yarn-site.xml)
> from the cluster via the API from
May be you can try download the LZO class and rebuild it against Hadoop
2.2.0;
If build success, you should be good to go;
if failed, then maybe you need to wait for the LZO guys to update their
code.
Regards,
*Stanley Shi,*
On Thu, Mar 6, 2014 at 6:29 PM, KingDavies wrote:
> Running on Hadoo
Hi Mahmood,
> I have downloaded hadoop-2.3.0-src and followed the guide from
>
http://hadoop.apache.org/docs/r2.3.0/hadoop-project-dist/hadoop-common/SingleCluster.html
The documentation is still old, and you don't need to compile
the source code to build a cluster.
I built the latest documen
thanks, Harsh.
any idea on how to build a common map output data type?
The only way I can think of is "toString()", which would be very
inefficient,
since A and B are big objects and may change with time, which is also the
reason we want to use Avro serialization.
2014-03-07 9:55 GMT+08:00 Harsh
If you have a reducer involved, you'll likely need a common map output
data type that both A and B can fit into.
On Thu, Mar 6, 2014 at 12:09 AM, Fengyun RAO wrote:
> our input is a line of text which may be parsed to e.g. A or B object.
> We want all A objects written to "A.avro" files, while al
You could avoid all that code by simply placing the configuration
directory on the classpath - it will auto-load necessary properties.
On Thu, Mar 6, 2014 at 11:36 AM, Geoffry Roberts wrote:
> Thanks for the response. I figured out what was wrong.
>
> I was doing this:
>
> Configuration conf = n
Thanks for the response. I figured out what was wrong.
I was doing this:
Configuration conf = new Configuration();
conf.addResource(new Path(F.CFG_PATH + "/core-site.xml"));
conf.addResource(new Path(F.CFG_PATH + "/hdfs-site.xml"));
conf.addResource(new Path(F.CFG_PATH + "/mapred-site.xml"));
Hi All,
I'm trying to get some hands-on on the Map Reduce programming.
I downloaded the code examples from Hadoop-The definitive guide, 3rd edition
and build it using Maven:
mvn package -DskipTests -Dhadoop.distro=apache-2
Next I imported the maven projects into Eclipse. Using Eclipse now I can
Stuck at this step.
Hope to receive any idea...
Regards,
Mahmood
On Thursday, March 6, 2014 6:48 PM, Mahmood Naderan
wrote:
Hi
I have downloaded hadoop-2.3.0-src and followed the guide from
http://hadoop.apache.org/docs/r2.3.0/hadoop-project-dist/hadoop-common/SingleCluster.html
Th
partition in hive is done on the column value and not on the sub portion of
column value.
If you want to separate data based on the first character then create
another column to store that value
On Thu, Mar 6, 2014 at 11:42 PM, nagarjuna kanamarlapudi <
nagarjuna.kanamarlap...@gmail.com> wrote
Hi,
I have a table with 3 columns in hive.
I want that table to be partitioned based on first letter of column 1.
How do we define such partition condition in hive ?
Regards,
Nagarjuna K
I've never faced an issue trying to run hadoop and related programs on
my OSX. What is your error exactly?
Have you ensured your Java classpath carries the configuration
directory on it as well, if you aren't running the program via "hadoop
jar ..." but via "java -cp ..." instead.
On Thu, Mar 6,
Wow. . . blast from the past ;)!!
How the hell are you?
Cheers
Oleg
On Wed, Mar 5, 2014 at 10:18 AM, Melissa Warnkin wrote:
> Hello Hadoop enthusiasts,
>
> As you are no doubt aware, ApacheCon North America will be held in
> Denver, Colorado starting on April 7th. Hadoop has 25 talks and
All,
I'm running the 2.3.0 distribution as a single node on OSX 10.7. I want to
create a directory. From the command line it works; from java it doesn't.
I have Googled and read bits and pieces that this is an issue with the OSX
"feature" of case insensitivity with its file system. Can anyone
How would I go about fetching configuration values (e.g. yarn-site.xml) from
the cluster via the API from an application not running on a cluster node?
Thanks
John
Hi
I have downloaded hadoop-2.3.0-src and followed the guide from
http://hadoop.apache.org/docs/r2.3.0/hadoop-project-dist/hadoop-common/SingleCluster.html
The first command "mvn clean install -DskipTests" was successful. However wen I
run
cd hadoop-mapreduce-project
mvn clean inst
you can ignore this on 2 node cluster.
This value means time it waits between two periodic checkpoints on
secondary namenode.
On Thu, Mar 6, 2014 at 4:10 PM, Vimal Jain wrote:
> Hi,
> I am setting up 2 node hadoop cluster ( 1.2.1)
> After formatting the FS and starting namenode,datanode and
>
Hi,
I am setting up 2 node hadoop cluster ( 1.2.1)
After formatting the FS and starting namenode,datanode and
secondarynamenode , i am getting below warning in SecondaryNameNode logs.
*WARN org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: Checkpoint
Period :3600 secs (60 min)*
Please h
Running on Hadoop 2.2.0
The Java MR2 job works as expected on an uncompressed data source using the
TextInputFormat.class.
But when using the LZO format the job fails:
import com.hadoop.mapreduce.LzoTextInputFormat;
job.setInputFormatClass(LzoTextInputFormat.class);
Dependencies from the maven re
please start writing subject lines for your emails
also look at the error message
[ERROR] The goal you specified requires a project to execute but there is
no POM in this directory (/home/cloudera)
do ls -l pom.xml inside /home/cloudera directory
change directory to where your codebase is and t
while impoting jar files using..
mvn clean install -DskipTests -Pdist
i am getting this error,
[ERROR] The goal you specified requires a project to execute but there is
no POM in this directory (/home/cloudera). Please verify you invoked Maven
from the correct directory. -> [Help 1]
help me ou
Maybe your console and browser are using different settings, would you
please try "wget
http://repo.maven.apache.org/maven2/org/apache/felix/maven-bundle-plugin/2.4.0/maven-bundle-plugin-2.4.0.pom
"?
Regards,
*Stanley Shi,*
On Wed, Mar 5, 2014 at 6:59 PM, Avinash Kujur wrote:
> yes ming.
>
>
add avro user mail-list
2014-03-06 16:09 GMT+08:00 Fengyun RAO :
> our input is a line of text which may be parsed to e.g. A or B object.
> We want all A objects written to "A.avro" files, while all B objects
> written to "B.avro".
>
> I looked into AvroMultipleOutputs class:
> http://avro.apache
our input is a line of text which may be parsed to e.g. A or B object.
We want all A objects written to "A.avro" files, while all B objects
written to "B.avro".
I looked into AvroMultipleOutputs class:
http://avro.apache.org/docs/1.7.4/api/java/org/apache/avro/mapreduce/AvroMultipleOutputs.html
Th
I think it is necessary to look at the question from multiple angles:
First there is MapReduce as computing paradigm.
Second there is the MapReduce API.
And third you have an implementation.
My believe is that the computing paradigm is not going away anytime soon. It's
a fundamental approach for
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