这篇文章将为大家详细讲解有关Hive基础操作的示例代码，小编觉得挺实用的，因此分享给大家做个参考，希望大家阅读完这篇文章后可以有所收获。
网站建设哪家好，找
创新互联建站！专注于网页设计、网站建设、微信开发、
小程序开发、集团企业网站建设等服务项目。为回馈新老客户创新互联还提供了
蔡甸免费建站欢迎大家使用！
1.在hive的服务端新建源数据
[root@hadoop5 ~]# cat hivedata
1,xiaoming,read-tv-code,beijing:chaoyang-shanghai:pudong
2,lisi,cook-game,chongqing:yongchun-sichuan:yibing
3,zhangsan,shop-eat,shanghai:xujiahui
2.创建内部表
create table test1
(id int,name string,likes array,address map)
row format delimited
fields terminated by ','
collection items terminated by '-'
map keys terminated by ':';
3.将数据导入hive
load data local inpath '/root/hivedata' into table test1;
0: jdbc:hive2://hadoop5:10000> select * from test1;
+-----------+-------------+-----------------------+----------------------------------------------+
| test1.id | test1.name | test1.likes | test1.address |
+-----------+-------------+-----------------------+----------------------------------------------+
| 1 | xiaoming | ["read","tv","code"] | {"beijing":"chaoyang","shanghai":"pudong"} |
| 2 | lisi | ["cook","game"] | {"chongqing":"yongchun","sichuan":"yibing"} |
| 3 | zhangsan | ["shop","eat"] | {"shanghai":"xujiahui"} |
+-----------+-------------+-----------------------+----------------------------------------------+
3 rows selected (0.207 seconds)
0: jdbc:hive2://hadoop5:10000>4.创建外部表（在hive中删除后，hdfs上数据不会删除）
create external table test2
(id int,name string,likes array,address map)
row format delimited
fields terminated by ','
collection items terminated by '-'
map keys terminated by ':'
location '/user/test2';
5.以test1的部分列为模板创建test3
create table test3 as select id, name from test1;
0: jdbc:hive2://hadoop5:10000> desc test3;
+-----------+------------+----------+
| col_name | data_type | comment |
+-----------+------------+----------+
| id | int | |
| name | string | |
+-----------+------------+----------+
2 rows selected (0.406 seconds)
0: jdbc:hive2://hadoop5:10000>
6.参照test1创建test4
create table test4 like test1;
7.创建分区表
create table test5
(id int,name string,likes array,address map)
partitioned by (sex string)
row format delimited
fields terminated by ','
collection items terminated by '-'
map keys terminated by ':';
0: jdbc:hive2://hadoop5:10000> desc test5;
+--------------------------+-----------------------+-----------------------+
| col_name | data_type | comment |
+--------------------------+-----------------------+-----------------------+
| id | int | |
| name | string | |
| likes | array | |
| address | map | |
| sex | string | |
| | NULL | NULL |
| # Partition Information | NULL | NULL |
| # col_name | data_type | comment |
| | NULL | NULL |
| sex | string | |
+--------------------------+-----------------------+-----------------------+
10 rows selected (0.382 seconds)
0: jdbc:hive2://hadoop5:10000>
8.为该分区添加加载数据
load data local inpath '/root/hivedata' into table test5 partition (sex='boy');
0: jdbc:hive2://hadoop5:10000> select * from test5;
+-----------+-------------+-----------------------+----------------------------------------------+------------+
| test5.id | test5.name | test5.likes | test5.address | test5.sex |
+-----------+-------------+-----------------------+----------------------------------------------+------------+
| 1 | xiaoming | ["read","tv","code"] | {"beijing":"chaoyang","shanghai":"pudong"} | boy |
| 2 | lisi | ["cook","game"] | {"chongqing":"yongchun","sichuan":"yibing"} | boy |
| 3 | zhangsan | ["shop","eat"] | {"shanghai":"xujiahui"} | boy |
+-----------+-------------+-----------------------+----------------------------------------------+------------+
3 rows selected (0.784 seconds)
0: jdbc:hive2://hadoop5:10000>9.为test5添加一个sex=girl的分区
alter table test5 add partition (sex='girl');
10.删除一个分区
alter table test5 drop partition (sex='girl');
关于“Hive基础操作的示例代码”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，使各位可以学到更多知识，如果觉得文章不错，请把它分享出去让更多的人看到。
另外有需要云服务器可以了解下创新互联scvps.cn，海内外云服务器15元起步，三天无理由+7*72小时售后在线，公司持有idc许可证，提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案，具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势，专为企业上云打造定制，能够满足用户丰富、多元化的应用场景需求。
网站名称：Hive基础操作的示例代码-创新互联
网站链接：
http://kswjz.com/article/dehsdi.html
