hadoop2

I'm trying to find the best approach for logging in MapReduce jobs. I'm using slf4j with log4j appender as in my other Java applications, but since MapReduce job runs in a distributed manner across the cluster I don't know where should I set the log file location, since it is a shared cluster with limited access privileges. Is there any standard practices for logging in MapReduce jobs, so you can easily be able to look at the logs across the cluster after the job completes? Ashrith You could use log4j which is the default logging framework that hadoop uses. So, from your MapReduce application

I have Hadoop 2.6.0 installed on my Ubuntu 14.04 LTS machine. I am able to successfully connect to http://localhost:50070/ . I am trying to connect to http://locahost:50030/ I have the following in my mapred-site.xml <configuration> <property> <name>mapred.job.tracker</name> <value>localhost:9001</value> </property> </configuration> Yet I continue to get an error of not being able to connect. I ran the jps command and got the following output: 12272 Jps 10059 SecondaryNameNode 6675 org.eclipse.equinox.launcher_1.3.100.v20150511-1540.jar 10233 ResourceManager 9867 DataNode 9745 NameNode 10362

Hello I am new to Hadoop and pretty confused with the version names and which one should I use among 1.x ( great support and learning resources ), 2.2 or 0.23. I have read that hadoop is moving to YARN completely from v0.23 ( link1 ). But at the same time its all over the web that hadoop v2.0 is moving to YARN ( link2 ) and I can see the YARN configuration files in Hadoop 2.2 itself. But since 0.23 seems to be the latest version to me, Does 2.2 also support YARN ? ( Refer link 1, it says hadoop will support YARN from v0.23 ) And as a beginner which version should I go for 1.x or 2.x for

I am passing input and output folders as parameters to mapreduce word count program from webpage. Getting below error: HTTP Status 500 - Request processing failed; nested exception is java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access Key must be specified as the username or password (respectively) of a s3n URL, or by setting the fs.s3n.awsAccessKeyId or fs.s3n.awsSecretAccessKey properties (respectively). The documentation has the format: http://wiki.apache.org/hadoop/AmazonS3 s3n://ID:SECRET@BUCKET/Path I suggest you use this: hadoop distcp \ -Dfs.s3n.awsAccessKeyId=

I am trying to install a single node setup of Hadoop on Ubuntu. I started following the instructions on the Hadoop 2.3 docs . But I seem to be missing something very simple. First, it says to To get a Hadoop distribution, download a recent stable release from one of the Apache Download Mirrors. Then, Unpack the downloaded Hadoop distribution. In the distribution, edit the file conf/hadoop-env.sh to define at least JAVA_HOME to be the root of your Java installation. However, I can't seem to find the conf directory. I downloaded a release of 2.3 at one of the mirrors . Then unpacked the tarball,