Directory structure
Hadoop cluster (CDH4) practice (0) PrefaceHadoop cluster (CDH4) Practice (1) Hadoop (HDFS) buildHadoop cluster (CDH4) Practice (2) Hbasezookeeper buildHadoop cluster (CDH4) Practice (3) Hive BuildHadoop cluster (CHD4) Practice (4) Oozie build
Hadoop cluster (CDH4) practice (0) Preface
During my t
transferred from: http://blog.csdn.net/lifuxiangcaohui/article/details/40588929Hive is based on the Hadoop distributed File system, and its data is stored in a Hadoop Distributed file system. Hive itself does not have a specific data storage format and does not index the data, only the column separators and row separators in the
1. Installing hiveBefore installing hive, make sure that Hadoop is installed, if it is not installed, refer to Centoos install Hadoop cluster for installation; 1.1, download, unzipDownload hive2.1.1:http://mirror.bit.edu.cn/apache/hive/hive-2.1.1/apache-
3, hive installation configuration3.1install MySQLInstalling MySQL on the datanode5# yum-y Installmysql-server MySQL# MySQLMysql> Grant all privileges on * * [email protected] ' 10.40.214.% ' identified by ' hive ';mysql> flush Privileges;3.2Installing Hive# tar-zxf Apache-hive-0.13.1-bin.tar.gz-c/var/data/; Mv/var/dat
Label: First,Eclipse new Other-"map/reduce Project Project The project automatically contains the jar packages of the associated Hadoop, In addition, you will need to import the following hive and the MySQL-connected jar package separately: Hive/lib/*.jar Mysql-connector-java-5.1.24-bin.jar Second, the shipment hiveserver Command: bin/
I have already set up the hadoop and hive environments, created a table page in hive, and loaded the data in. Now I want to count the traffic of each URL from this table and put it in another relational database or display it on the page. What should I do?
Go to the official website and check whether Java, Python, and PHP can be used for implementation. The follo
family
The entire Hadoop consists of the following subprojects:
Member name use
Hadoop Common A low-level module of the Hadoop system that provides various tools for Hadoop subprojects, such as configuration files and log operations.
Avro Avro is the RPC project hosted by Doug Cutting, a bit like Google's Protobuf and
table(dbms_xplan.display):Perform a full table scan, of course the cost of a full table scan is relatively highThe department number is indexed belowindexon emp(deptno):索引已创建。forselectfromwhere deptno=10:已解释。selectfrom table(dbms_xplan.display):It's an index-based scan that's faster for full-table scanning.It's almost like Oracle for Hive.So:0hadoop
Use HDFS for storage and compute with MapReduce
0 Meta Data storage (Metastore)
Typically stored in a relational database su
Start using Hadoop and hive to analyze mobile phone usage in hdinsightin order to get you started quickly using Hdinsight, this tutorial will show you how to run a query hive extracted from a Hadoop cluster, from unstructured data to meaningful information. Then, you will analyze the results in Microsoft Excel. Attent
Recently combined with specific projects, set up Hadoop+hive, before running Hive to first set up a good Hadoop, about the construction of Hadoop has three models, in the following introduction, I mainly used the pseudo distribution of H
Introduction to Hive and what it is to install hiveHive is a data warehouse that uses SQL scripts toHive contains several enginesInterpreter, compiler, optimizer, etc.Contact HiveFirst we go into the appropriate official document, the command to contact Hive uses https://cwiki.apache.org/confluence/display/Hive/LanguageManualThen we open the command line modeUsag
calculate the hash value based on userid. I will not repeat the process of sorting and storing data by viewTIme. This is the imported data.
hive> select * from b_student;OK1tammy2014-09-09CN2eric2014-09-09CN3paul2014-09-10CN4jolly2014-09-10CN34allen2014-09-11ENTime taken: 0.727 seconds, Fetched: 5 row(s)
Sample and extract data from one bucket from four buckets
hive> select * from b_student tablesample(buc
Recently, hadoop and hive have been successfully configured on five Linux servers. A hadoop cluster requires a machine as the master node, and the rest of the machines are Server Load balancer nodes (Master nodes can also be configured as Server Load balancer nodes ). You only need to configure and use hive on the mast
Alex's Hadoop cainiao Tutorial: tutorial 10th Hive getting started, hadoophiveInstall Hive
Compared to many tutorials, I first introduced concepts. I like to install them first, and then use examples to introduce them. Install Hive first.
First confirm whether the corresponding yum source has been installed, if not as
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
Document directory
1. Hadoop and Hbase have been installed successfully.
2. Copy the hbase-0.90.4.jar and zookeeper-3.3.2.jar to hive/lib.
3. Modify the hive-site.xml file in hive/conf and add the following content at the bottom:
4. Copy the hbase-0.90.4.jar to hadoop/
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