This article takes you to understand the installation process of data warehouse hive

Big data super brother 2020-11-07 20:55:46
article takes understand installation process

HIVE It's a data warehouse , The warehouse is based on hadoop frame , Can exist hdfs The structured data file on is mapped to a database table .HIVE You can use classes SQL Statement to process structured data ( Query data ), In other words, structured data is treated as a class mysql In the table , use SQL Statement query .

Structured data is line data , Data that can be represented in a two-dimensional table structure ; Unstructured data is data that cannot be represented by two-dimensional table structure , Including all forms of office documents 、 Text 、 picture 、XML、HTML、 Various reports 、 Image and audio / Video information .

Hive The essence of will SQL The statement is converted to MapReduce Task run , To make unfamiliar with MapReduce It's very convenient for users to use HQL Processing and calculation HDFS Structured data on , It is suitable for offline batch data calculation .

HIVE Official website

website :

The Apache Hive data warehouse software facilitates reading,writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.

1 MySQL install

HIVE By default, the metadata is placed in the embedded Derby In the database , But because of Derby The database can only allow one session connection , Not applicable in actual production environment , Therefore, this paper adopts MySQL Storage HIVE Metadata .

MySQL Download address

use yum Tool installation MySQL

# download mysql80-community-release-el8-1.noarch.rpm
# install rpm software package
yum localinstall mysql80-community-release-el8-1.noarch.rpm
# install mysql Server side
yum install mysql-community-server
# start-up mysql Server side , And set boot up
systemctl start mysqld
systemctl enable mysqld
systemctl daemon-reload
# land mysql Modify the client first root The default password for the account
# Check in the log file mysql Of root User default password
grep 'temporary password' /var/log/mysqld.log
#mysql Client login , Fill in the password from the above command , Choose one of the three .
mysql -uroot -p
# Change Password , Passwords must have upper and lower case and numbers .
ALTER USER 'root'@'localhost' IDENTIFIED BY 'Pass9999';
Change the password , To restart the server .
systemctl restart mysqld
# Log in to the client
mysql -uroot -p Pass9999
# modify root Remote access to , You can connect remotely mysql.
# Refresh MySQL The system authority of

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mysql keep in storage hive Metadata , What tables does metadata have , The specific meaning of each table is as follows :

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  • version surface :hive Version information
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  • DBS surface :hive Database related metadata table
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  • TBLS surface :hive Table and view related metadata table
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2 HIVE install

The package I downloaded is :apache-hive-3.1.2-bin.tar.gz, Download address can be downloaded from hadoop In the article on cluster building .

# decompression /usr/local Next
tar -zxvf apache-hive-3.1.2-bin.tar.gz /usr/local
# rename
mv apache-hive-3.1.2-bin hive-3.1.2
# Configure environment variables
vi /etc/profile
# Add the following configuration at the end of the document
export HIVE_HOME=/usr/local/hive-3.1.2
export PATH=$HIVE_HOME/bin:$PATH
# Immediate effect environment variable
source /etc/profile
#cd Under the file
# Copy a document as hive-site.xml
cp hive-default.xml.template hive-site.xml
# Empty hive-site.xml The content of , Add the following
<property><!-- Database connection address , Use MySQL Store metadata information , establish hive DB-->
<property><!-- Database driven -->
<property><!-- Database user name -->
<description>Username to use against metastore database</description>
<property><!-- password -->
<description>password to use against metastore database</description>
<property><!--HDFS route , Used to store different map/reduce Stage execution plan and intermediate output of these stages .-->
<property><!--Hive Query the directory where the log is located ,HDFS route -->
<property><!-- The default location of the local table ,HDFS route -->
<property><!-- Local mode on ,3 Start mode , See below for details -->
# modify hive The configuration file
#cd To bin Under the document
# Add the following configuration
export JAVA_HOME=/usr/local/jdk1.8.0_261
export HADOOP_HOME=/usr/local/hadoop-3.2.1
export HIVE_HOME=/usr/local/hive-3.1.2
# add to java drive
cd /usr/local/hive-3.1.2/lib
# hold jar Put it in lib Under the document , The file was downloaded from the Internet .
# Yes Hive Initialize and start Hive
# cd To bin Under the document , Yes hive initialization , Mainly initialization mysql, add to mysql by hive Metabase of .
cd /usr/local/hive-3.1.2/bin
schematool -initSchema -dbType mysql
# start-up hive, Direct input hive start-up
# see database and table
show databases;
show tables;

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