1、一般可以通过beeline，代理方式登录hive;
2、使用数据库abc_hive_db：use abc_hive_db;
3、查看数据库中有哪些表：show tables ；有哪些特定表 show tables like ‘*tb_site*‘;
4、查看某张表的表结构:desc tablename;
5、创建表：
--OID,MSISDN,StartTime,EndTime,AP_MAC,ApAliasName,HotSpotName,Longitude,Latitude,Floor 0: jdbc:hive2://xxxxx/> create table tmp_wifi1109(OID string,MSISDN string,StartTime timestamp,
EndTime timestamp,AP_MAC string,ApAliasName string,HotSpotName string,Longitude string,Latitude
string,Floor string) row format delimited fields terminated by ‘,‘ stored as textfile;
6、从hdfs文件中导入数据到表：
0: jdbc:hive2://xxxx/> load data inpath ‘hdfs:/user/xx_xx/dt/wifi_user_list_1109.csv‘ into table tmp_wifi1109;
7、把表之间关联的结果存储某张新建表：
create table tmp_mr_s1_mme1109 as select distinct b.OID,b.MSISDN,b.StartTime,b.EndTime,b.AP_MAC,b.ApAliasName,b.HotSpotName,b.Longitude,b.Latitude,b.Floor,
a.ues1ap_id,a.cellid from default.s1mme a join abc_hive_db.tmp_wifi1109 b on a.msisdn=b.MSISDN and a.hour>=‘20161109‘ and a.hour<‘20161110‘ where (
(a.start_time<=b.StartTime and a.end_time>=b.StartTime)
or (a.start_time<=b.EndTime and a.end_time>=b.EndTime)
or (a.start_time>=b.StartTime and a.end_time<=b.EndTime)
)
8、导出某张表中的记录到hdfs:
set hive.merge.mapfiles; set hive.merge.mapredfields; set hive.merge.size.per.task= 1000000000; set hive.merge.smallfiles.avgsize= 1000000000; use rc_hive_db; insert overwrite directory ‘/user/dt/dat/1109/‘ row format delimited fields terminated by ‘|‘ select * from tmp_mr_s1_mme1109;
9、查看表分区字段：
0: jdbc:hive2://xxx/> show partitions default.s1_mme; +------------------------------------+--+ | partition | +------------------------------------+--+ | hour=2016110214 | | hour=2016110215 | | hour=2016110216 | ... +------------------------------------+--+
参考信息：
hive partitions相关处理：http://blog.sina.com.cn/s/blog_9f48885501016hn5.html
http://blog.sina.com.cn/s/blog_9f48885501016k5m.html
原文：http://www.cnblogs.com/yy3b2007com/p/6079302.html