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Apache Hadoop configuration Kerberos Guide Generally, the security of a Hadoop cluster is guaranteed using kerberos. After Kerberos is enabled, you must perform authentication. After verification, you can use the GRANT/REVOKE statement to control role-based access. This article describes how to configure kerberos in a CDH cluster. 1. KDC installation and configuration script The script install_kerberos.sh can complete all the installation configurations and corresponding parameter configurations
Transferred from: http://www.aboutyun.com/thread-7569-1-1.htmlBig 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 q
yum and configure it.Here I want to introduce how to install cdh4 through cloudera-manager. Cloudera-manager is also a product of the apache Foundation. Currently, there are two editions: the free version and the commercial version. The free version only supports 50 nodes, and the commercial version is not limited. Of course, generally 50 nodes are enough. here we use the free version of
Exited_with_faIlure 2014-03-31 19:50:50,496 DEBUG org.apache.hadoop.yarn.event.AsyncDispatcher:Dispatching the event Org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainersLauncherEvent.EventType:CLEANUP_ CONTAINER 2014-03-31 19:50:50,496 INFO Org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch:Cleaning up Container container_1396266549856_0001_01_000001 This is not a waste of time, because only to find that CDH has provided a ready-made c
Hadoop is a complex system mix and it's a hassle to build a Hadoop environment for production. But there are always some cows in this world who will help you solve some seemingly painful problems, if not now, that is sooner or later. CDH is the Cloudera of the Hadoop set environment, CDH related to the introduction please see www.cloudera.com, I will not say more. This is mainly about using CDH5.3 to install a Hadoop environment that can be used for p
Document directory Motivation Motivation Preface I have been in contact with hadoop for two years and encountered many problems, including classic namenode and jobtracker memory overflow faults, HDFS storage of small files, and task scheduling problems, there are also mapreduce performance problems. some of these problems are hadoop's own defects (short board), while others are improper. In the process of solving the problem, you sometimes need to turn to the source code, and sometimes ask c
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 hadoop mapreduce (hereinafter referred to as Mr) framework. Mapreduce is composed of client APIs and runtime environment. Client APIS is used to compile Mr programs. The r
Su-HDFS Pi estimator testing: Time hadoop JAR/opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar PI 10 100 Teragen/terasort/teravalidate testing: 1. Time hadoop JAR/opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar teragen 10485760000/user/hduser/input #10,485,760,000 = 1000 GB = 1 Tb2. Time hadoop JAR/opt/cloudera
engines than leading commercial data warehousing applications For open source projects, the best health metric is the size of its active developer community. As shown in Figure 3 below,Hive and Presto have the largest contributor base . (Spark SQL data is not there) In 2016, Cloudera, Hortonworks, Kognitio and Teradata were caught up in the benchmark battle that Tony Baer summed up, and it was shocking that the vendor-favored SQL engine defeated o
there)Source: Open Hub https://www.openhub.net/In 2016, Cloudera, Hortonworks, Kognitio and Teradata were caught up in the benchmark battle that Tony Baer summed up, and it was shocking that the vendor-favored SQL engine defeated other options in every study, This poses a question: does benchmarking make sense?Atscale two times a year benchmark testing is not unfounded. As a bi startup, Atscale sells software that connects the BI front-end and SQL ba
Recently, ClouderaSearch was launched. For me who used to search and use javasesolr, although it is not a new technology, I believe that in terms of application, for the industry, there is no doubt that it is a very exciting news. Think about it. ClouderaSearch with a complete set of solutions in hand is in hand. Now Recently, Cloudera Search was launched. For me who used Lucene/Solr for information retrieval and use, although it is not a new technolo
latency of MapReduce.To achieve Impala and HBase integration, we can obtain the following benefits: We can use familiar SQL statements. Like traditional relational databases, it is easy to provide SQL Design for complex queries and statistical analysis. Impala query statistics and analysis is much faster than native MapReduce and Hive. To integrate Impala with HBase, You need to map the RowKey and column of HBase to the Table field of Impala. Impala uses Hive Metastore to store metadata. Si
-- connect jdbc: mysql: // localhost/ppc -- table data_ip -- username kwps-P Enter password: 11/02/18 10:51:58 ERROR sqoop. Sqoop: Got exception running Sqoop: java. lang. RuntimeException: cocould not find appropriate Hadoop shim for 0.20.2 Java. lang. RuntimeException: cocould not find appropriate Hadoop shim for 0.20.2 At com. cloudera. sqoop. shims. ShimLoader. loadShim (ShimLoader. java: 190) At com. clouder
and how would you do t Hem now using Beeline. This article would give you a jumpstart migrating from the old CLI to Beeline. What is the things you would want to does with a command line tool? Let's look at the example of most common things your may want to does with a command line tool and how can I do it using hi ve Beeline CLI. I'll use the Cloudera Quick start VM 5.4.x for executing commands and generate output for this article. If you is using
file formats, such as Parquent, are a good solution to existing bi-class data analysis scenarios In the future, new storage formats will be used to adapt to more scenarios, such as array storage to serve machine learning applications. Future HDFS will continue to expand support for emerging storage media and server architectures. The 2015 HBase released its 1.0 release, which also represented HBase's move towards stability. new hbase features include clearer interface definitions, multi-region
1. Local Operation error and solutionWhen you run the following command:./bin/spark-submit --class Org.apache.spark.examples.mllib.JavaALS --master local[*] /opt/cloudera/ Parcels/cdh-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-yarn/lib/spark-examples_2.10-1.0.0-cdh5.1.2.jar /user/data/ Netflix_rating 10/user/data/resultThe following error will appear:Exception in thread "main" Java.lang.RuntimeException:java.io.IOException:No FileSystem for Scheme:hdfs
Centos 6.9 detailed tutorial on installing mysql, centosmysql 1. Check whether mysql is installed. See the following code. [root@cdh1 zjl]# yum list installed mysql*Loaded plugins: fastestmirror, refresh-packagekit, securityLoading mirror speeds from cached hostfile * base: mirrors.zju.edu.cn * extras: mirrors.aliyun.com * updates: mirrors.aliyun.comInstalled PackagesMySQL-python.x86_64 1.2.3-0.3.c1.1.el6 @base mysql-libs.x86_64 5.1.73-8.el6_8 @anaconda-CentOS-201703281317.x86_64/6.9 2. Un
Hue is an open-source ApacheHadoopUI system. It was first evolved from ClouderaDesktop and contributed to the open-source community by Cloudera. It is implemented based on the PythonWeb framework Django. By using Hue, we can interact with the Hadoop cluster on the Web Console of the browser to analyze and process data, such as operating data on HDFS and running Ma Hue is an open-source Apache Hadoop UI system. It was first evolved from
Use Windows Azure VM to install and configure CDH to build a Hadoop Cluster This document describes how to use Windows Azure virtual machines and NETWORKS to install CDH (Cloudera Distribution Including Apache Hadoop) to build a Hadoop cluster. The project uses CDH (Cloudera Distribution Including Apache Hadoop) in the private cloud to build a Hadoop cluster for big data computing. As a loyal fan of Microso
-y Install NCYum-y Install Python-setuptools6.Create user# useradd Change Password# passwd Turn off SELinux# vi/etc/selinux/config (change SELinux to Disabled),7. Root user login, modify sudo permissions of the newly created userVisudoUnder Root all= (All)Add a row8. Reboot restartSecond, set up local Yum sourceSince we have downloaded the cm5.4 cdh5.4 rpm package, we can configure the local Yum source to save download timeUnzip the cm5.4 cdh5.4 package and place it under/var/www/html/Start the
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