cloudera spark

Cloudera cdh4 has three installation methods: 1. Automatic Installation through cloudera Manager (only 64-bit Linux operating systems are supported ); 2. Use the yum command to manually install the package; 3. Manually install the tarball package; I personally recommend that you try either method 1 or 2. You should first have a clear understanding of the hadoop architecture, built-in components, and configu

After the Cloudera Manager server and Agent are started, you can configure the CDH5 installation.You can then test the 7180 port of the master node through the browser (since the boot of the CM server takes some time, this may take a while to access), and the default user name and password are admin.making a local sourceDownload CDH to local http://archive-primary.cloudera.com/cdh5/parcels/5.3.4/first,Here are three things to download,The first is the

insideLet's modify the hostTwo comments out of the front.6. Configure the Yum source6.1 Copying filesDelete the repo file that comes with the system in the/ETC/YUM.REPOS.D directory firstWill: Create a new file: Cloudera-manager.repoTouch Cloudera-manager.repoThe contents of the file are:BaseURL back is the folder inside your var/www/html.baseurl=http://Correct the second time you do itThird Amendment[

Host hardware configurationOperating environment hardware and software Environment L host operating system: Windows 4 bit, dual core, 2.2g,8g memoryL Virtual software: VMware? Workstation 9.0.0 build-812388L Virtual Machine Operating system: CentOs 64bit, single core, 2G RAM virtual machine hardware and software configuration Cluster network environment cluster consists of three nodes: LAN connection between nodes, can ping each other. The node IP address and hostname distribution are as fo

"Note" This series of articles, as well as the use of the installation package/test data can be in the "big gift –spark Getting Started Combat series" get1 Spark Streaming Introduction1.1 OverviewSpark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data

Upgrade Cloudera Manager to 5.2.11. Stop the Cloudera Management Service2. Stop The hive service and all services such as Impala and Hue this use the hive Metastore.3. Backup MySQL Databases (mysqldump-uroot-p--single-transaction--flush-logs--master-data=2--delete-master-logs--a ll-databases > Backup.sql)4. Service Cloudera-scm-server stop; Service

-------------------------------------the previous article-------------------------------------In the case I have not contacted CDH installation Cloudera, the first is the side of Baidu tutorial side specific practice, and then encountered a lot of setbacks.So I wrote this article over and over to show my installation process, and some problems and workarounds.-------------------------------------Directory-------------------------------------One, the s

Cloudera impala is an engine that runs distributed queries on HDFS and hbase.This source is a snapshot of our internal development version. We regularly update the version.This readme document describes how to use this source to build cloudera Impala. For more information, see: Https://ccp.cloudera.com/display/IMPALA10BETADOC/Cloudera+Impala+1.0+Beta+Documentat

Big Data We all know about Hadoop, but there's a whole range of technologies coming into our sights: Spark,storm,impala, let's just not come back. To be able to better architect big data projects, here to organize, for technicians, project managers, architects to choose the right technology, understand the relationship between the various technologies of big data, choose the right language. We can read this article with the following questions:What te

basis for instant queries, introducing the Spark computing framework to support machine learning type calculations, and validating Whether spark, the new computing framework, can replace the traditional MapReduce-based computing framework. Figure 2 is the architectural evolution of the entire system.In this architecture, we deploy spark 0.8.1 on yarn and isolate