First, the installation mode introduction:Hive official on-line introduces 3 kinds of hive installation methods, corresponding to different application scenarios. 1, in-line mode (meta data to protect the village in the embedded derby species, allow a session link, try multiple session links will be error) 2. Local mode (install MySQL locally instead of Derby store metadata) 3. Remote mode (remotely install MySQL instead of Derby storage metadata)
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 written in this tutorial install cdh yum sour
First, control the number of maps in the hive task:1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can not be customized modification);2. For example:A) Assuming
By default, NULL is saved as \ n in the hive table, and you can view the table's source file (Hadoop fs-cat or Hadoop fs-text), where a large amount of \ n is stored in the file,
resulting in a lot of wasted space. And in Java, Python directly into the path to manipulate the source data, the resolution should also be noted. In
addition, in the source file of the hive table, the default column delimiter i
achieve the same effect see http://www.uroot.com/archives/1059UDF is active now it is only possible to modify the source code. But it can be done with a little bit of flexibility.Create a new. hiverc file in the bin directory of the Hive_home, and write the registered statement of the UDF, which can be used just like hive built-in usage.The principle is that when you run the./
How to configure remote MetaStore in hive:
1) Configure hive to use local MySQL to store MetaStore (server a 111.121.21.23) (Remote MySQL storage can also be used)
2) After the configuration is complete, start the service bin/hive -- service MetaStore (default listening port: 9083) on server)
3) configure the hive clie
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 time as a beginner of Hadoop, I wrote a series of introductory Hadoop articles, the first of which is "Hadoop cluster practice (0) Compl
Tags: mysql hive#HIVE可以在任意节点搭建, experiment in masterLink: http://pan.baidu.com/s/1i4LCmAp Password: 302x hadoop+hive Download# #原封不动的复制, will die, please fill in the relevant parameters and paths according to the actual1. Hive InfrastructureA, based on the already built HadoopB. Download the
Tags: hiveEnvironment:Hadoop2.2.0hive0.13.1ubuntu 14.04 Ltsjava Version "1.7.0_60"oracle10g * * * Welcome reprint, please indicate the source * * * http://blog.csdn.net/u010967382/article/details/38709751Download the installation package to the following addressHttp://mirrors.cnnic.cn/apache/hive/stable/apache-hive-0.13.1-bin.tar.gzunpack the installation package to the server/home/fulong/
Tags: collection mic one Apache Apach store specify copy HiveDML operations (Data manipulation Language)refer to the official documentation: DML document
Because update and delete are not commonly used in hive, this article does not explain. This article mainly describes load and insert operations.
1. Load (loading data)The load function is to load the file into the table (Loading files into tables)
The following is the syntax t
Use of Union
The union is used to combine the result set of multiple SELECT statements into a single result set. The Union ALL (Bag Union) is currently supported. Duplicate rows cannot be eliminated, and the number of columns returned by each SELECT statement must be the same as the name, otherwise a syntax error is thrown.
Select_statement UNION ALL select_statement UNION ALL select_statement .....
If you have to do some extra processing of the result set of the Union, the entire statement c
Hive Interface Introduction (Web UI/JDBC)
Experiment Introduction
This experiment learns the two interfaces of Hive: Web UI and JDBC.
First, the experimental environment explained
1. Environment Login
No password automatic login, system user name Shiyanlou, password Shiyanlou
2. Introduction to the Environment
This experiment environment uses the Ubuntu Linux environment with the deskto
Environment only needs to be installed on one node 2. Set environment variable vi. bash_profileexportJAVA_HOMEusrlibjvmjava-1.6.0-openjdk-1.6
Install and configure hive 1. download wget http://mirror.mel.bkb.net.au/pub/apache//hive/stable/hive-0.8.1.tar.gz tar zxf hive-0.8.1.tar.gz only needs to install on one node 2.
What is HiveTurn from: 791026911. Hive IntroductionHive is a data warehouse infrastructure built on Hadoop. It provides a range of tools that can be used for data extraction conversion loading (ETL), a mechanism that can store, query, and analyze large-scale data stored in Hadoop. Hive defines a simple class-SQL query language called HQL, which allows the user who is familiar with SQL to query data. At the
Hive learning Roadmap
The hadoop family articles mainly introduce hadoop family products. Common projects include hadoop, hive, pig, hbase, sqoop, mahout, Zookeeper, Avro, ambari, chukwa, new projects include yarn, hcatalog, oozie, Cassandra, hamr, whirr, flume, bigtop, crunch, and hue.
Since 2011, China has entered the age of big data. Family software represented by hadoop occupies a vast territory of big
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 Facebook's thrift. Avro is used to do later RPC of Hadoop, make Hadoop RPC module communicate faster, data structure is more compact
。
Chukwa Chukwa is a large cluster monitorin
Hive is a basic data warehouse architecture built on Hadoop. It provides a series of tools for data extraction, conversion, and loading.
Hive is a basic data warehouse architecture built on Hadoop. It provides a series of tools for data extraction, conversion, and loading.
Basic Hive learning documents and tutorials
Abstract:
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