3.1 HiveServer2.Beeline JDBC使用

https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients

一、HiveServer2、Beeline

1、HiveServer2

HiveServer2是作为hive的一个服务启动的；

#启动，也可以让它在后台启动
[root@hadoop-senior hive-0.13.1]# bin/hiveserver2

2、beeline

#连接hiveserver2
[root@hadoop-senior hive-0.13.1]# bin/beeline
beeline> !connect jdbc:hive2://hadoop-senior.ibeifeng.com:10000 root 123456 org.apache.hive.jdbc.HiveDriver

#root 123456 ：系统的用户名、密码

#连接后，如下所示，就可以执行命令了，和在hive client一样
beeline> !connect jdbc:hive2://hadoop-senior.ibeifeng.com:10000 root 123456 org.apache.hive.jdbc.HiveDriver
Connecting to jdbc:hive2://hadoop-senior.ibeifeng.com:10000
Connected to: Apache Hive (version 0.13.1)
Driver: Hive JDBC (version 0.13.1)
Transaction isolation: TRANSACTION_REPEATABLE_READ
0: jdbc:hive2://hadoop-senior.ibeifeng.com:10>

##这个里面输出结果的格式化效果稍微好一点
0: jdbc:hive2://hadoop-senior.ibeifeng.com:10> show databases;
+----------------+
| database_name  |
+----------------+
| db_hive        |
| default        |
+----------------+
2 rows selected (0.702 seconds)

0: jdbc:hive2://hadoop-senior.ibeifeng.com:10> use default;
No rows affected (0.027 seconds)

0: jdbc:hive2://hadoop-senior.ibeifeng.com:10> show tables;
+---------------------+
|      tab_name       |
+---------------------+
| bf_1og_20150913     |
| bf_1og_20150913_sa  |
| bf_log              |
| bf_log_20150914     |
| dept                |
| dept_cats           |
| dept_part           |
| emp                 |
| emp_ci              |
| emp_ext             |
| emp_ext2            |
| emp_partition       |
+---------------------+
12 rows selected (0.039 seconds)

#第二种连接方式。-u参数
[root@hadoop-senior hive-0.13.1]# bin/beeline -u jdbc:hive2://hadoop-senior.ibeifeng.com:10000/default
scan complete in 3ms
Connecting to jdbc:hive2://hadoop-senior.ibeifeng.com:10000/default
Connected to: Apache Hive (version 0.13.1)
Driver: Hive JDBC (version 0.13.1)
Transaction isolation: TRANSACTION_REPEATABLE_READ
Beeline version 0.13.1 by Apache Hive

0: jdbc:hive2://hadoop-senior.ibeifeng.com:10> show tables;
+---------------------+
|      tab_name       |
+---------------------+
| bf_1og_20150913     |
| bf_1og_20150913_sa  |
| bf_log              |
| bf_log_20150914     |
| dept                |
| dept_cats           |
| dept_part           |
| emp                 |
| emp_ci              |
| emp_ext             |
| emp_ext2            |
| emp_partition       |
+---------------------+
12 rows selected (0.12 seconds)

二、JDBC

HiveServer2 JDBC
    将分析的结果存储在hive表（result），前端通过DAo代码，进行数据的查询。