hive wikipedia

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HIVE[2] Basic Introduction

2.3 Hive Internal Introduction: P44The jar file under the $HIVE _home/lib is a specific functional part; (CLI module) Other components, Thrift services, remote access to other process features, and the ability to access hive using JDBC and ODBC; all hive clients need a Metastore Service (meta-data Service), which is us

"Gandalf" Hive 0.13.1 on Hadoop2.2.0 + oracle10g deployment Detailed explanation

Label: Environment:hadoop2.2.0 hive0.13.1 Ubuntu 14.04 LTS java version "1.7.0_60"oracle10g * * * Welcome reprint. Please indicate source * * * http://blog.csdn.net/u010967382/article/details/38709751Download the installation package at the following addressHttp://mirrors.cnnic.cn/apache/hive/stable/apache-hive-0.13.1-bin.tar.gz The installation package is extracted to the server/home/fulong/

Three Ways to install hive (inline mode, local mode remote mode)

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)

Hive Metastore Upgrade

# CD $HIVE _home/scripts/metastore/upgrade/mysql [Dev root @ sd-9c1f-2eac/usr/local/src/apache-hive-2.1.1-bin/scripts/metastore/upgrade/mysql]# ls001-hive-972.mysql.sql 027-hive-12819.mysql.sql Hive-schema-2.0.0.mysql.sql002-hive-

[Spark] [Hive] [Python] [SQL] A small example of Spark reading a hive table

[Spark] [Hive] [Python] [SQL] A small example of Spark reading a hive table$ cat Customers.txt1Alius2Bsbca3Carlsmx$ hiveHive>> CREATE TABLE IF not EXISTS customers (> cust_id String,> Name string,> Country String>)> ROW FORMAT delimited fields TERMINATED by ' \ t ';hive> Load Data local inpath '/home/training/customers.txt ' into table customers;

Hive optimization------Control the number of maps and reduce in hive tasks

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

Null in hive (hive null processing)

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

Alex's Hadoop cainiao Tutorial: tutorial 10th Hive getting started, hadoophive

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

Hive Base Query Notes

#= = Use regular expression = = Hive (ODS) > select symbol, ' price.* ' from stocks; = = Table Structure = = Hive (ODS) > > Desc emp1; OK col_name data_type Comment name string salary float Subordinates Array = = Query array, struct, element in map = =

Installation of hive combined with MySQL

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

"Gandalf" Hive 0.13.1 on Hadoop2.2.0 + oracle10g deployment Detailed

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/

Hive Interface Introduction (Web UI/JDBC)

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

Hive Join and hivejoin

Hive Join and hivejoin Https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Joins LanguageManualJoins Join Syntax Hive supports the following table join syntax structure: Join_table: Table_reference JOIN table_factor [join_condition] | Table_reference {LEFT | RIGHT | FULL} [OUTER] JOIN table_reference join_condition | Table_reference left semi JOINtab

Configure remote MetaStore in hive

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

Use of hive UNION all and hive subqueries

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

The understanding of Hive

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

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

hadoop+hive Do data warehousing & some tests

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

Hadoop cluster (CHD4) practice (Hadoop/hbase&zookeeper/hive/oozie)

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

Use hive-based registry

Here we will not discuss how to use hive. According to the introduction in this document, hive registries are divided into three types: boot hive, system HV, and user hive. Boot hive refers to the registry information that needs to be used in the boot process. This part cann

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