master HBase Enterprise-level development and management• Ability to master pig Enterprise-level development and management• Ability to master hive Enterprise-level development and management• Ability to use Sqoop to freely convert data from traditional relational databases and HDFs• Ability to collect and manage distributed logs using Flume• Ability to master the entire process of analysis, development, and deployment of
Editor's note: HDFs and MapReduce are the two core of Hadoop, and the two core tools of hbase and hive are becoming increasingly important as hadoop grows. The author Zhang Zhen's blog "Thinking in Bigdate (eight) Big Data Hadoop core architecture hdfs+mapreduce+hbase+hive i
Tags: Hadoop hiveSince Hive relies on Hadoop, you must confirm that Hadoop is available before installing hive, and the installation of Hadoop can refer to the cluster distributed Hadoop
map phase through the script/bin/CAT (like hadoop streaming). Similarly-streaming can be used on the reduce side (please see the hive tutorial or examples)Actual ExampleCreate a tableCreate Table u_data (Userid int,Movieid int,Rating int,Unixtime string)Row format delimitedFields terminated by '/t'Stored as textfile;Download the sample data file and decompress i
This document describes how to manually install the cloudera hive cdh4.2.0 cluster. For environment setup and hadoop and hbase installation processes, see the previous article.Install hive
Hive is installed on mongotop1. Note that hive saves metadata using the Derby database
The first contact with the Hadoop technology friends will certainly be the system under the parasitic all open source projects confused, I can guarantee that hive,pig,hbase these open source technology will make you confused, it does not matter confused not only you a, such as a rookie of the post of doubt, when the use of Hbase and When do I use Hive? .... Ask t
Hive Introduction
Hive is a data warehouse infrastructure built on Hadoop. It provides a range of tools that can be used for data extraction and transformation loading (ETL), a mechanism for storing, querying, and analyzing large data stored in Hadoop. Hive defines a simple
Z Excerpt from: http://www.linuxidc.com/Linux/2014-03/98978.htmHadoop Eco-CirclePigA lightweight scripting language that operates on Hadoop, originally launched by Yahoo, but is now on the decline. Yahoo itself slowly withdrew from the maintenance of pig after the open source of its contribution to the open source community by all enthusiasts to maintain. But some companies are still using it, but I don't think it's better to use
Chapter 1: IntroductionRecently, the telecommunications group held a big data technology training class, according to the requirements, Hadoop small white I made a comparison between the two, to do a practical operation to do a record it, hey ...The similarities between the two:Both 1.hbase and Hive are architected on top of Hadoop. is using
Hadoop series hive (data warehouse) installation and configuration1. Install in namenodeCD/root/softTar zxvf apache-hive-0.13.1-bin.tar.gzMv apache-hive-0.13.1-bin/usr/local/hadoop/hive2. Configure environment variables (each node needs to be added)Open/etc/profile# Add the
1. Hive MySQL metastore installation Preparation
Unzip the hive-0.12.0.tar.gz to the/zzy/.
# TAR-ZXVF Hive-0.12.0.tar.gz-c/zzy (-c Specifies the path after unpacking)
Modify the/etc/profile file to add hive to the environment variable
# Vim/etc/profile
Export java_home=/usr/java/jd
Installation version
hadoop-2.0.0-cdh4.2.0hbase-0.94.2-cdh4.2.0hive-0.10.0-cdh4.2.0jdk1.6.0_38Instructions before installation
The installation directory is/OPT.
Check the hosts file
Disable Firewall
Set Clock Synchronization
Instructions for use
After hadoop, hbase, and hive are successfully installed, the startup method is as follows:
Start DFS and mapre
Tags: Hadoop database hive Finereport1. DescriptionHadoop is a popular distributed computing solution, and Hive is a Hadoop-based data analysis tool. In general, the operation of Hive is done through the CLI, that is, the Linux console, but in essence, each connection is sto
We introduced the two basic pillars of HDFs and MapReduce for the Hadoop project, and then introduced the subproject Pig: a MapReduce upper-level client that processes data under HDFS in a SQL-like, data-flow-oriented language. This greatly satisfies those programmers who do not have Java and do not write MapReduce. But it is tricky for data analysts, DBAs, and so on, who have previously been working on relational database data analysis such as Oracle
/mysqladmin-u root password ' root '8) Log in to MySQL as the root userMysql-uroot–prootInstalling HiveHive is installed on the master node.1) Create hive users, databases, etc. in MySQLInsert into Mysql.user (Host,user,password) VALUES ("localhost", "Hive", Password ("Hive"));Create DATABASE hive;Grant all on
, Add at the end: Export Java_home= ....e xport hadoop_home= ...7. Enter the conf directory under the Hive installation directory , according to hive-default.xml.template Copy out two files : C P hive-default.xml.template hive-default.xmlC P hive-default.xml.template
The recent time to build up a bit hadoop-2.7.3 + hbase-1.3.1 + zookeeper-3.4.8 + hive-2.3.0 fully distributed platform environment, online query a lot of relevant information, installation success, deliberately recorded down for reference.
first, software preparation
VMware12, hadoop-2.7.3, hbase-1.3.1, zookeeper-3.4.8, hi
First, prepareUpload apache-hive-1.2.1.tar.gz and Mysql--connector-java-5.1.6-bin.jar to NODE01Cd/toolsTAR-ZXVF apache-hive-1.2.1.tar.gz-c/ren/Cd/renMV apache-hive-1.2.1 hive-1.2.1This cluster uses MySQL as the hive metadata storeVI Etc/profileExport hive_home=/ren/
Reprint Please specify source: http://blog.csdn.net/l1028386804/article/details/464961231.hive1.1 is the role of the Data Warehouse in the Hadoop ecosystem. He is able to manage data in Hadoop and can query data in Hadoop.In essence, hive is a SQL parsing engine. Hive can run SQL queries into a job in MapReduce.Hive ha
This article describes how to use SQL to query hadoop data. The main technology used is: PhP submits SQL queries to hive through thrift, hive converts SQL queries to hadoop tasks, and returns a result URI after hadoop completes execution, then we only need to read the conten
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.