HIVE是一个基于Hadoop的数据仓库，适用于一些高延迟性的应用。如果对延迟性要求比较高，则可以选择Hbase。
前提：需要已经安装配置好hadoop参考：hadoop2.7.3伪分布式环境搭建详细安装过程

安装mysql

下载安装mysql
yum install mysql-server
设置默认字符和引擎
vim /etc/my.cnf
在[mysqld]下添加
default-character-set=utf8
default-storage-engine=INNODB
启动mysql
cd /etc/init.d
./mysqld start
进入mysql
mysql

建立配置hive数据库

为用户创建一个名为hive的数据库，并设置编码为latin1
mysql> create database hive default character set latin1;
查看hive数据库是否成功建立

mysql> show databases;
+--------------------+
| Database           |
+--------------------+
| information_schema |
| hive               |
| mysql              |
| test               |
+--------------------+
4 rows in set (0.00 sec)

创建hive用户并授权

 //授权hive用户拥有hive数据库的所有权限
  mysql>  grant all privileges on hive.* to hive@'%' identified by '123456';
Query OK, 0 rows affected (0.00 sec)
  //刷新系统权限表
  mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)

测试hive用户能否链接到mysql

[root@cognos init.d]# mysql -u hive -p
Enter password: 
Welcome to the MySQL monitor.  Commands end with ; or \g.
。。。
mysql> use hive;
Database changed
mysql> show tables;
Empty set (0.00 sec)

安装hive

下载
hive-2.0.1下载
解压
tar -xzvf apache-hive-2.0.1-bin.tar.gz
将解压后的文件夹重命名并放到hadoop目录下
mv apache-hive-2.0.1-bin hive
mv hive /opt/hadoop/
下载mysql驱动包并放入hive安装目录/lib下
我这里下载的是mysql-connector-java-5.1.36-bin.jar

配置

修改环境变量
vi /etc/profile
添加以下内容

#HIVE
export HIVE_HOME=/opt/hadoop/hive
export PATHA=$PATH:$HIVE_HOME/bin

source /etc/profile 使更改生效

2.修改hive配置文件

复制几个配置文件

cp hive-default.xml.template hive-default.xml
cp hive-env.sh.template hive-env.sh
cp hive-log4j2.properties.template hive-log4j2.properties              
cp hive-exec-log4j2.properties.template hive-exec-log4j2.properties

修改hive-default.xml
vim hive-default.xml
通过vim编辑器的查找命令找到有vavax的位置，并对相关地方进行配置。总共四处。这四处改为之前mysql的配置信息。

#jdbc连接方式
javax.jdo.option.ConnectionDriverName
 com.mysql.jdbc.Driver
#mysql连接配置
javax.jdo.option.ConnectionURL
jdbc:mysql://172.16.7.191:3306/hive?createDatabaseIfNotExist=true
#mysql数据库的用户名
   javax.jdo.option.ConnectionUserName
    hive
#用户对应的密码
    javax.jdo.option.ConnectionPassword
    123456

redhat中vim编辑器的查找命令
:set hls //打开高亮
/XXX //往下查找
?XXX //网上查找


>####启动

1. 启动Hive 的 Metastore Server服务进程
       hive --service metastore &
2. hive第一次登录需要初始化
       schematool -dbType mysql -initSchema
3. 登录hive

[root@cognos conf]# hive
which: no hbase in (/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib64/qt-3.3/bin:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/root/bin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/opt/hadoop/hive/bin)

Logging initialized using configuration in file:/opt/hadoop/hive/conf/hive-log4j2.properties

Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. tez, spark) or using Hive 1.X releases.

大致意思：在Hive2.0后在Mapreduce的框架上将不再支持，希望考虑使用其它的执行引擎（如tez,spark等。）暂时不知道会有什么影响。

hive> show databases;
OK
default
Time taken: 0.728 seconds, Fetched: 1 row(s)

4. 验证
hive配置成功后，mysql同样可以连接到hive数据库，并进行操作。





>####报错及解决方法

1. SLF4J多重绑定

which: no hbase in (/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/bin:/usr/lib/jvm/java-1.7.0-openjdk.x86_64/jre/bin:/usr/lib64/qt-3.3/bin:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/root/bin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/opt/hadoop/hadoop-2.7.3/bin:/opt/hadoop/hadoop-2.7.3/sbin:/opt/hadoop/hive/bin)
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/hadoop/hive/lib/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/hadoop/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]

**解决办法**
上述jar包有重复绑定Logger类，删除较旧版本即可。
     rm -rf /opt/hadoop/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar

2. 没有正常启动Hive 的 Metastore Server服务进程。

Logging initialized using configuration in file:/opt/hadoop/hive/conf/hive-log4j2.properties
Exception in thread "main" java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1550)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.(RetryingMetaStoreClient.java:86)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3080)
at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3108)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:543)
at org.apache.hadoop.hive.ql.session.SessionState.beginStart(SessionState.java:516)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:712)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:648)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.lang.reflect.InvocationTargetException

**解决方法：**
启动Hive 的 Metastore Server服务进程，执行如下命令：
       hive --service metastore &

3. mysql权限问题
    ```
javax.jdo.JDOFatalDataStoreException: Unable to open a test connection to the given database. JDBC url = jdbc:mysql://172.16.7.191:3306/hive?createDatabaseIfNotExist=true, username = hive. Terminating connection pool (set lazyInit to true if you expect to start your database after your app). Original Exception: ------
java.sql.SQLException: Access denied for user 'hive'@'cognos' (using password: YES)

解决办法：
将hive-default.xml文件中的jdbc:mysql://172.16.7.191:3306换成localhost:3306
javax.jdo.option.ConnectionURL
jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true

hive第一次登录没有初始化

avax.jdo.JDODataStoreException: Required table missing : "VERSION" in Catalog "" Schema "". DataNucleus requires this table to perform its persistence operations. Either your MetaData is incorrect, or you need to enable "datanucleus.schema.autoCreateTables"

解决办法：
hive在第一次登录的时候需要用 schematool -dbType mysql -initSchema命令初始化。执行执行以下命令
schematool -dbType mysql -initSchema

不明确的路径指代system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D

Logging initialized using configuration in file:/opt/hadoop/hive/conf/hive-log4j2.properties
Exception in thread "main" java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D

原因是system:java.io.tmpdir变量在配置文件中无法获取到实际的值，就是找不到路径，正常情况下Hive启动的时候会产生临时文件和日志文件。由于文件无法被创建，所以进程就启动不了。
解决办法：
在配置文件default-site.xml里找"system:java.io.tmpdir"把他们都换成绝对路径如：/opt/hadoop/hive/iotmp/
并指认一个system:user.name


    system:user.name
    user_name


    hive.exec.local.scratchdir
    /opt/hadoop/hive/iotmp/${system:user.name}
    Local scratch space for Hive jobs
  
  
    hive.downloaded.resources.dir
    /opt/hadoop/hive/iotmp/${hive.session.id}_resources
    Temporary local directory for added resources in the remote file system.

参考：

redhat下mysql安装与使用
mysql 创建和删除用户
HIVE完全分布式集群安装过程（元数据库: MySQL）
[Hive]那些年踩过的Hive坑

hive安装配置

安装mysql

建立配置hive数据库

安装hive

配置

大致意思：在Hive2.0后在Mapreduce的框架上将不再支持，希望考虑使用其它的执行引擎（如tez,spark等。）暂时不知道会有什么影响。

参考：

你可能感兴趣的:(hive安装配置)