hadoop2

I install spark on windows, but it failed to run showing the error below: <console>:16: error: not found: value sqlContext import sqlContext.implicits._ ^ <console>:16: error: not found: value sqlContext import sqlContext.sql ^ I tried the links below but any one of them resolves the issue: How to start Spark applications on Windows (aka Why Spark fails with NullPointerException)? Apache Spark error while start error when starting the spark shell error: not found: value sqlContext The complete log of spark execution is below: D:\Spark\spark-1.6.1-bin-hadoop2.6\bin>spark-shell log4j:WARN No

I am running a test cluster running MRv1 (CDH5) paired with LocalFileSystem, and the only user I am able to run jobs as is mapred (as mapred is the user starting the jobtracker/tasktracker daemons). When submitting jobs as any other user, the jobs fail because the jobtracker/tasktracker is unable to find the job.jar under the .staging directory. I have the exact same issue with YARN (MRv2) when paired with LocalFileSystem, i.e. when submitting jobs by a user other than 'yarn', the application master is unable to locate the job.jar under the .staging directory. Upon inspecting the .staging

When I try to start dfs using: start-dfs.sh I get an error saying : 14/07/03 11:03:21 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Starting namenodes on [OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now. It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. localhost] sed: -e expression #1, char 6: unknown option

Hadoop node manager doesn't satisfy minimum allocations. I am getting the following error: org.apache.hadoop.yarn.exceptions.YarnRuntimeException: Received SHUTDOWN signal from Resourcemanager, Registration of NodeManager failed, Message from Resource Manager: NodeManager from DP112.Mas.company.com doesn't satisfy minimum allocations, Sending SHUTDOWN signal to the NodeManager. RAM -6 GB in my physical box And I am setting Single node setup for initial testing purpose The "ResourceManager: NodeManager from *** doesn't satisfy minimum allocations" error is seen when node on which node manager

第二篇隔了这么久，一个是因为有工作任务，第二个也是因为为了编译64位的hadoop2.7.1耽误了。到现在也不确定64位系统到底需不需要自己编译hadoop2，反正我编译了才安装成功的。 首先：先介绍环境虚拟机安装的VM12，系统是centOS6.5 ，hdoop2.7.1，JDK是1.7因为hadoop2官网测试了JDK1.6喝1.7都是稳定的，1.8应该也行但是 此时 官网暂时没测。 编译参照了： http://my.oschina.net/ordinance/blog/521931?fromerr=34qORjYs 安装参照了： http://blog.csdn.net/woshisunxiangfu/article/details/44026207 第一步：先到官网下载2.7.1-src版本的源码， 然后安装JDK(不要搞成jre了)，因为编译64位源码需要JDK里面的一些tools。 大家不要看到还需要编译就觉得好难，只要下好工具，其实过程中没出啥错误，出了小错按照提示也基本搞定了，无非是缺少什么工具或者是JDK不对之类的。 第二步：编译，编译的话网上有许多教程，都差不多的，这里我就列举了需要哪些工具： 就这么几个，Ant，findbugs，Maven，Protobuf（反正是需要不知道具体干啥用的），jdk1.7(一定要是JDK才可以编译jre不行

In EMR, is there a way to get a specific value of the configuration given the configuration key using the yarn command? For example I would like to do something like this yarn get-config yarn.scheduler.maximum-allocation-mb It's a bit non-intuitive, but it turns out the hdfs getconf command is capable of checking configuration properties for YARN and MapReduce, not only HDFS. > hdfs getconf -confKey fs.defaultFS hdfs://localhost:19000 > hdfs getconf -confKey dfs.namenode.name.dir file:///Users/chris/hadoop-deploy-trunk/data/dfs/name > hdfs getconf -confKey yarn.resourcemanager.address 0.0.0.0

Can you please help me out to the below scenarios. 1) While using Hadoop V2, do we use Secondary NameNode in production environment? 2) For Hadoop V2, suppose we use muliple NameNodes in active/passive connection for High Availability and when the Edits Log file is growing huge, How does the edits log gets applied to fsimage? If so, then applying the huge Edits log to Namenode would be time consuming during startup of Namenode? (We had Secondary NameNode in hadoop v1 to solve this problem) Ravindra babu Answers to your queries: 1) While using Hadoop V2, do we use Secondary NameNode in