[root@hadoop-senior softwares]# tar zxf apache-hive-0.13.1-bin.tar.gz -C /opt/modules/

[root@hadoop-senior ~]# cd /opt/modules/

[root@hadoop-senior modules]# ls

apache-hive-0.13.1-bin  apache-maven-3.0.5  hadoop-2.5.0  jdk1.7.0_80

[root@hadoop-senior modules]# mv apache-hive-0.13.1-bin/ hive-0.13.1

[root@hadoop-senior modules]# ls

apache-maven-3.0.5  hadoop-2.5.0  hive-0.13.1  jdk1.7.0_80

#先重命名为：hive-env.sh

#修改以下两行

HADOOP_HOME=/opt/modules/hadoop-2.5.0    #hadoop安装目录

export HIVE_CONF_DIR=/opt/modules/hive-0.13.1/conf    #hive的conf目录

#创建

[root@hadoop-senior hadoop-2.5.0]# bin/hadoop fs -mkdir       /tmp            #我的/tmp已经存在

[root@hadoop-senior hadoop-2.5.0]# bin/hadoop fs -mkdir -p /user/hive/warehouse

#加权限

bin/hadoop fs -chmod g+w   /tmp

bin/hadoop fs -chmod g+w   /user/hive/warehouse

#第一次进入可能有点慢

[root@hadoop-senior hive-0.13.1]# bin/hive

Logging initialized using configuration in jar:file:/opt/modules/hive-0.13.1/lib/hive-common-0.13.1.jar!/hive-log4j.properties

hive> show databases;

OK

default

Time taken: 0.01 seconds, Fetched: 1 row(s)

hive> use default;

OK

Time taken: 0.009 seconds

#是不是有点mysql的感觉了，确实，甚至连命令都很像；

hive> create table bf_log(ip string,user string,requesturl string);

OK

Time taken: 0.274 seconds

hive> show tables;

OK

bf_log

Time taken: 0.011 seconds, Fetched: 1 row(s)

hive> select count(*) from bf_log;        #此时就会去执行MapReduce了，命令行中清晰可见，yarn的web中也有