cdh hadoop

from the Agent cannot be received.请确保主机的名称已正确配置。请确保端口 7182 可在 Cloudera Manager Server 上访问（检查防火墙规则）。请确保正在添加的主机上的端口 9000 和 9001 空闲。检查正在添加的主机上 /var/log/cloudera-scm-agent/ 中的代理日志（某些日志可在安装详细信息中找到）。Could not find config file/var/run/cloudera-scm-agent/supervisor/supervisord.confThe solution to this error is:After we have modified our/etc/hosts file, we have to restart the service cloudera-scm-agentService Cloudera-scm-agent Restart8. Cannot be displayed after installing cm9, 7180 interface cannot op

management solution cluster account managementOriginally we used a single account as a Cluster Administrator, and this account is a unified online login account, there is a great security risk. We need to use a special account to manage the cluster. The question here is, how many operations accounts do we need?A simple way to do this is to use a special operations account (such as Hadoop), CDH and Apache a

Chapter 1 Meet HadoopData is large, the transfer speed is not improved much. it's a long time to read all data from one single disk-writing is even more slow. the obvious way to reduce the time is read from multiple disk once.The first problem to solve is hardware failure. The second problem is that most analysis task need to be able to combine the data in different hardware. Chapter 3 The Hadoop Distributed FilesystemFilesystem that manage storage h

Cloudera, compilation: importnew-Royce Wong Hadoop starts from here! Join me in learning the basic knowledge of using hadoop. The following describes how to use hadoop to analyze data with hadoop tutorial! This topic describes the most important things that users face when using the

ArticleDirectory Obtain Java Obtain hadoop Set Environment Variables Configure hadoop-env.sh Configure core-site.xml Configure hdfs-site.xml Configure mapred-site.xml Install HDFS Start hadoop Simple debugging Obtain Java Obtain hadoop Set Environment Variables Configure

1. Stop Monit on all Hadoop servers (we use Monit on line to monitor processes) Login Idc2-admin1 (we use idc2-admin1 as a management machine and Yum Repo server on line)# mkdir/root/cdh530_upgrade_from_500# cd/root/cdh530_upgrade_from_500# pssh-i-H idc2-hnn-rm-hive ' Service Monit stop '# pssh-i-H idc2-hmr.active ' Service Monit stop ' 2. Confirm that the local CDH5.3.0 yum repo server is ready http://idc2-admin1/repo/

One, for the small summary of CDH:CDH: Is the Cloudera company in the Apache Open source project based on Hadoop, a total of five versionsThe first two are no longer updated, the two are CDH4 (based on the hadoop2.0.0 version evolution),CDH5 (updates are available every once in a while)The difference between CDH and Apache Hadoop:The 1.CDH version is clearer and

Statement This article is based on CentOS 6.x + CDH 5.x HTTPFS, what's the use of HTTPFS to do these two things? With Httpfs you can manage files on HDFs in your browser HTTPFS also provides a set of restful APIs that can be used to manage HDFs It's a very simple thing, but it's very practical. Install HTTPFS in the cluster to find a machine that can access HDFs installation Httpfs$ sudo yum install

Introduction HDFs is not good at storing small files, because each file at least one block, each block of metadata will occupy memory in the Namenode node, if there are such a large number of small files, they will eat the Namenode node's large amount of memory. Hadoop archives can effectively handle these issues, he can archive multiple files into a file, archived into a file can also be transparent access to each file, and can be used as a mapreduce

工欲善其事, its prerequisite, don't say anything, Hadoop download: http://archive.cloudera.com/cdh5/cdh/5/Choose the appropriate version to start, in this article is about Installs the process around the hadoop-2.3.0-cdh5.1.2 version. (Installation environment for three Linux virtual machines built in VMware 10 ). 1,Hadoop

text file to reduce storage space, but also need to support split, and compatible with the previous application (that is, the application does not need to modify) situation. 5.comparison of the characteristics of 4 compression formats compression Format Split native Compression ratio Speed whether Hadoop comes with Linux Commands if the original application has to be modified after you cha

First, the environment Operating system: CentOS 6.5 64-bit operating system Note: Hadoop2.0 above uses the JDK environment is 1.7,linux comes with the JDK to unload, reinstall Download Address: http://www.oracle.com/technetwork/java/javase/downloads/index.html Software version: hadoop-2.3.0-cdh5.1.0.tar.gz, zookeeper-3.4.5-cdh5.1.0.tar.gz Download Address: http://archive.cloudera.com/cdh5/cdh/5/ Start the

Hadoop cannot be started properly (1) Failed to start after executing $ bin/hadoop start-all.sh. Exception 1 Exception in thread "Main" Java. Lang. illegalargumentexception: Invalid URI for namenode address (check fs. defaultfs): file: // has no authority. Localhost: At org. Apache. hadoop. HDFS. server. namenode. namenode. getaddress (namenode. Java: 214) Localh

As a matter of fact, you can easily configure the distributed framework runtime environment by referring to the hadoop official documentation. However, you can write a little more here, and pay attention to some details, in fact, these details will be explored for a long time. Hadoop can run on a single machine, or you can configure a cluster to run on a single machine. To run on a single machine, you only

First explain the configured environmentSystem: Ubuntu14.0.4Ide:eclipse 4.4.1Hadoop:hadoop 2.2.0For older versions of Hadoop, you can directly replicate the Hadoop installation directory/contrib/eclipse-plugin/hadoop-0.20.203.0-eclipse-plugin.jar to the Eclipse installation directory/plugins/ (and not personally verified). For HADOOP2, you need to build the jar f

Cloudera's QuickStart VM-installation-free and configuration-free Hadoop Development Environment Cloudera's QuickStart VM is a virtual machine environment that helps you build CDH 5.x, Hadoop, and Eclipse for Linux and Hadoop without installation and configuration. After downloading and decompressing, you can directly

I built a Hadoop2.6 cluster with 3 CentOS virtual machines. I would like to use idea to develop a mapreduce program on Windows7 and then commit to execute on a remote Hadoop cluster. After the unremitting Google finally fixI started using Hadoop's Eclipse plug-in to execute the job and succeeded, and later discovered that MapReduce was executed locally and was not committed to the cluster at all. I added 4 configuration files for

We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java 1.7.0_45,

installation and deployment notes-HBase full distribution mode installation Detailed tutorial on creating HBase environment for standalone Edition Reference documentation (hortonworks will be short for hdp; cloudera is cdh ): 1. Create a system template. Because I found the centos6.5 template in openvz, we tried to keep it consistent with production in the test environment, so we should use CentOS6.3, note automatically according to the official docu

third, the use of Oozie periodic automatic execution of ETL1. Oozie Introduction(1) What is Oozie?Oozie is a management Hadoop job, scalable, extensible, reliable workflow scheduling system, its workflow is composed of a series of actions made of a forward acyclic graph (DAGs), coordinator job is a time-frequency periodic trigger Oozie workflow job. The job types supported by Oozie are Java map-reduce, streaming map-reduce, Pig, Hive, Sqoop, and Distc