说在前面的话

  默认情况下,Hive元数据保存在内嵌的Derby数据库中,只能允许一个会话连接,只适合简单的测试。实际生产环境中不使用,为了支持多用户会话,

则需要一个独立的元数据库,使用MySQL作为元数据库,Hive内部对MySQL提供了很好的支持。

  

在Ubuntu系统下安装并配置hive详细正确步骤如下!

一、mysql-server和mysql-client的下载

root@SparkSingleNode:/usr/local#  sudo apt-get install mysql-server  mysql-client (Ubuntu版本)

  我这里,root密码,为rootroot。

 

二、启动MySQL服务

root@SparkSingleNode:/usr/local# sudo /etc/init.d/mysql start      (Ubuntu版本)     
* Starting MySQL database server mysqld [ OK ]
root@SparkSingleNode:/usr/local#

附加说明,

sudo /etc/init.d/mysql restart  这是重启

sudo /etc/init.d/mysql stop 这是停止

三、进入mysql服务

Ubuntu里 的mysql里有个好处,直接自己对root@下的所有,自己默认设置好了

root@SparkSingleNode:/usr/local# mysql -uroot -p
Enter password:   //输入rootroot
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 43
Server version: 5.5.53-0ubuntu0.14.04.1 (Ubuntu)

Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

mysql> CREATE USER  'hive'@'%'  IDENTIFIED BY 'hive';

mysql> GRANT ALL PRIVILEGES ON  *.* TO 'hive'@'%' WITH GRANT OPTION;

mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)

mysql> use hive;
Database changed
mysql> select user,host,password from mysql.user;
+------------------+-----------------+-------------------------------------------+
| user | host | password |
+------------------+-----------------+-------------------------------------------+
| root | localhost | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | sparksinglenode | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | 127.0.0.1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | ::1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| debian-sys-maint | localhost | *5DD77395EB71A702D01A6B0FADD8F2C0C88830C5 |
| hive | % | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
+------------------+-----------------+-------------------------------------------+
8 rows in set (0.00 sec)

mysql> exit;
Bye
root@SparkSingleNode:/usr/local#

在ubuntu系统里,默认情况下MySQL只允许本地登录,所以需要修改配置文件将地址绑定注释。

sudo gedit /etc/mysql/my.cnf

找到 # bind-address         = 127.0.0.1    注释掉这一行就可以啦

重启mysql服务

sudo service mysqld restart

然后,建立Hive专用的元数据库,记得用我们刚创建的"hive"账号登录。

mysql -u hive -p hive

CREATE DATABASE hive_metadata

 四、安装hive

  这里,很简单,不多赘述。

spark@SparkSingleNode:/usr/local/hive$ ll
total 12
drwxr-xr-x 3 spark spark 4096 11月 21 10:39 ./
drwxr-xr-x 15 root root 4096 11月 21 10:25 ../
drwxrwxr-x 9 spark spark 4096 11月 21 10:38 apache-hive-2.1.0-bin/
spark@SparkSingleNode:/usr/local/hive$ mv apache-hive-2.1.0-bin hive-2.1.0
spark@SparkSingleNode:/usr/local/hive$ ls
hive-2.1.0
spark@SparkSingleNode:/usr/local/hive$ cd hive-2.1.0/
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0$ ls
bin examples jdbc LICENSE README.txt scripts
conf hcatalog lib NOTICE RELEASE_NOTES.txt
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0$ cd conf/
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/conf$ ls
beeline-log4j2.properties.template ivysettings.xml
hive-default.xml.template llap-cli-log4j2.properties.template
hive-env.sh.template llap-daemon-log4j2.properties.template
hive-exec-log4j2.properties.template parquet-logging.properties
hive-log4j2.properties.template
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/conf$ cp hive-default.xml.template hive-site.xml
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/conf$

五、配置hive

<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.80.128:3306/hive_metadata?createDatabaseIfNotExist=true</value>
<description>
JDBC connect string for a JDBC metastore.
To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.
For example, jdbc:postgresql://myhost/db?ssl=true for postgres database.
</description>

<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>

<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hive</value>
<description>Username to use against metastore database</description>
</property>

<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hive</value>
<description>password to use against metastore database</description>
</property>

spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/conf$ cp hive-env.sh.template hive-env.sh
spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/conf$ vim hive-env.sh

spark@SparkSingleNode:/usr/local/hive/hive-2.1.0/bin$ vim hive-config.sh

export JAVA_HOME=/usr/local/jdk/jdk1.8.0_60
export HIVE_HOME=/usr/local/hive/hive-2.1.0
export HADOOP_HOME=/usr/local/hadoop/hadoop-2.6.0

vim /etc/profile

#hive
export HIVE_HOME=/usr/local/hive/hive-2.1.0
export PATH=$PATH:$HIVE_HOME/bin

source /etc/profile

将mysql-connector-java-***.jar,复制到hive安装目录下的lib下。

spark@SparkSingleNode:/usr/local/hadoop/hadoop-2.6.0$ sbin/start-all.sh

  一般,上面,就可以足够安装正确了!

附赠问题

mysql-connector-java-5.1.21-bin.jar换成较高版本的驱动如mysql-connector-java-6.0.3-bin.jar

  试过了,不是这个问题。

mysql> use mysql;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A

Database changed
mysql> delete from user where User='hive' and Host='%';
Query OK, 1 row affected (0.04 sec)

mysql> delete from user where User='hive' and Host='sparksinglenode';
Query OK, 1 row affected (0.01 sec)

mysql> update user set Host='%' where User='hive' and Host='localhost';
Query OK, 1 row affected (0.01 sec)
Rows matched: 1 Changed: 1 Warnings: 0

mysql> FLUSH PRIVILEGES;
Query OK, 0 rows affected (0.03 sec)

mysql> select User,Host,Password from user;
+------------------+-----------------+-------------------------------------------+
| User | Host | Password |
+------------------+-----------------+-------------------------------------------+
| root | localhost | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | sparksinglenode | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | 127.0.0.1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | ::1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| debian-sys-maint | localhost | *5DD77395EB71A702D01A6B0FADD8F2C0C88830C5 |
| hive | % | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
+------------------+-----------------+-------------------------------------------+
6 rows in set (0.00 sec)

mysql>

mysql> exit;
Bye
root@SparkSingleNode:/usr/local#‘’

root@SparkSingleNode:/usr/local# mysql -uroot -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 39
Server version: 5.5.53-0ubuntu0.14.04.1 (Ubuntu)

Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

mysql> select user,host,password from mysql.user;
+------------------+-----------------+-------------------------------------------+
| user | host | password |
+------------------+-----------------+-------------------------------------------+
| root | localhost | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | sparksinglenode | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | 127.0.0.1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | ::1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| debian-sys-maint | localhost | *5DD77395EB71A702D01A6B0FADD8F2C0C88830C5 |
| hive | % | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
| hive | localhost | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
| hive | sparksinglenode | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
+------------------+-----------------+-------------------------------------------+
8 rows in set (0.00 sec)

mysql> drop user 'hive'@'localhost';
Query OK, 0 rows affected (0.00 sec)

mysql> drop user 'hive'@'SparkSingleNode';
Query OK, 0 rows affected (0.00 sec)

mysql> select user,host,password from mysql.user;
+------------------+-----------------+-------------------------------------------+
| user | host | password |
+------------------+-----------------+-------------------------------------------+
| root | localhost | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | sparksinglenode | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | 127.0.0.1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| root | ::1 | *6C362347EBEAA7DF44F6D34884615A35095E80EB |
| debian-sys-maint | localhost | *5DD77395EB71A702D01A6B0FADD8F2C0C88830C5 |
| hive | % | *4DF1D66463C18D44E3B001A8FB1BBFBEA13E27FC |
+------------------+-----------------+-------------------------------------------+
6 rows in set (0.00 sec)

mysql>

mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)

mysql> exit;
Bye
root@SparkSingleNode:/usr/local#

Ubuntu系统下安装并配置hive-2.1.0的更多相关文章

  1. ubuntu系统下安装pyspider:搭建pyspider服务器新手教程

    首先感谢“巧克力味腺嘌呤”的博客和Debian 8.1 安装配置 pyspider 爬虫,本人根据他们的教程在ubuntu系统中进行了实际操作,发现有一些不同,也出现了很多错误,因此做此教程,为新手服 ...

  2. CentOS和Ubuntu系统下安装 HttpFS (助推Hue部署搭建)

    不多说,直接上干货! 我的集群机器情况是 bigdatamaster(192.168.80.10).bigdataslave1(192.168.80.11)和bigdataslave2(192.168 ...

  3. ubuntu系统下安装pip3及第三方库的安装

    ubuntu系统下会自带python2.x和python3.x坏境,不需要我们去安装.并且ubuntu系统下还会自动帮助我们安装python2.x坏境下的pip安装工具, 但是没有python3.x坏 ...

  4. CentOS和Ubuntu系统下安装vsftp(助推大数据部署搭建)

    不多说,直接上干货! 同时,声明,我这里安装的vsftp,仅仅只为我的大数据着想,关于网上的复杂安装,那是服务和运维那块.我不多牵扯,也不多赘述. 一.CentOS系统里安装vsftp 第一步:使用y ...

  5. ubuntu系统下安装pyspider:安装命令集合。

    本篇内容的前提是你已安装好python 3.5.在ubuntu系统中安装pyspider最大的困难是要依赖组件经常出错,特别是pycurl,但把对应的依赖组件安装好,简单了.下面直接上代码,所有的依赖 ...

  6. Windows7 x64 系统下安装 Nodejs 并在 WebStorm 9.0.1 下搭建编译 LESS 环境

    1. 打开Nodejs官网http://www.nodejs.org/,点“DOWNLOADS”,点64-bit下载“node-v0.10.33-x64.msi”. 2. 下载好后,双击“node-v ...

  7. 一看就懂的Ubuntu系统下samba服务器安装配置教程

    文章目录 前言 环境搭建 安装 配置 Examples 1 创建共享(任何人都可以访问) 2 单用户权限(需要密码访问) 添加samba用户 配置参数 3 支持游客访问(单用户拥有管理员权限) 前言 ...

  8. Python 基础之在ubuntu系统下安装双版本python

    前言:随着python升级更新,新版本较于老版本功能点也有不同地方,作为一个初学者应该了解旧版本的规则,也要继续学习新版本的知识.为了能更好去学习python,我在ubuntu安装python2和py ...

  9. ubuntu系统下安装gstreamer的ffmpeg支持

    当您在安装gstreamer到您的ubuntu系统中时,为了更好地进行流媒体开发,需要安装ffmpeg支持,但一般情况下,直接使用 sudo apt-get install gstreamer0.10 ...

随机推荐

  1. Python 3 Mysql 增删改查

    import pymysql import datainfo import time #获取参数 host = datainfo.host username = datainfo.username p ...

  2. Amobea读写分离

    Amoeba的中文意思是变型虫,Amoeba是一个以MySQL为底层数据存储,并对应用提供MySQL协议接口的proxy.它集中地响应应用的请求,依据用户事先设置的    规则,将SQL请求发送到特定 ...

  3. centos安装mysql,tomcat

    软件下载: jre和jdk下载:http://www.oracle.com/technetwork/java/javase/downloads/java-archive-downloads-javas ...

  4. nginx中级应用

    1.安装监控模块 Nginx中的stub_status模块主要用于查看Nginx的一些状态信息. 本模块默认是不会编译进Nginx的,如果你要使用该模块,则要在编译安装Nginx时指定: . /con ...

  5. Replication--将LSN转换成16进制

    在复制中经常会使用到16进制的LSN,但在日志fn_dblog中的LSN是数字形式,于是从网上找到以下转换函数CREATE FUNCTION dbo.fn_convertnumericlsntobin ...

  6. shell脚本小实例

    本文收集了一堆的shell脚本技巧,我说过,我写博客主要是作一些学习笔记,方便自己查阅,所以,我会搞出这么一篇文章,也没有什么不可理解的.关于这些技巧的出处,诶,我也忘了,可能来自theunixsch ...

  7. go iris xorm包使用(sqlite3数据库增删查改)

    官网https://studyiris.com/example/orm/xorm.html例子,稍做修改 1.我是win64,但没有遇到mingw问题,应该是之前安装过gcc环境,参考:测试一下rob ...

  8. scrapy框架基础

    一.简介 Scrapy是一个为了爬取网站数据,提取结构性数据而编写的应用框架,非常出名,非常强悍.所谓的框架就是一个已经被集成了各种功能(高性能异步下载,队列,分布式,解析,持久化等)的具有很强通用性 ...

  9. 1.Java Spring MVC入门 安装

    Spring 下载地址: 4.3.6.RELEASE/ 25-Jan-2017 14:05 - http://repo.spring.io/release/org/springframework/sp ...

  10. Vim Clutch | 面向脚踏板编程

    简评:这是使用硬件制作的一个离合器踏板,控制 Vim 的 insert mode 和 normal mode ~ Github 上有个关于 Vim 的项目,项目作者 Aleksandr Levchuk ...