本篇博客,小菌为大家详细地带来Hive中表数据的加载与导出。
Hive表数据加载
1.直接向分区表中插入数据
insert into table score3 partition(month =‘201807’) values (‘001’,‘002’,‘100’);
2、通过查询插入数据
先通过load加载创建一个表 (linux) load data local inpath ‘/export/servers/hivedatas/score.csv’ overwrite into table score partition(month=‘201806’);
(HDFS) load data inpath ‘/export/servers/hivedatas/score.csv’ overwrite into table score partition(month=‘201806’);
通过查询方式加载数据 create table score4 like score;
insert overwrite table score4 partition(month = ‘201806’) select s_id,c_id,s_score from score; 关键字overwrite必须要有
3、多插入模式
from score insert overwrite table score_first partition(month=‘201806’) select s_id,c_id insert overwrite table score_second partition(month = ‘201806’) select c_id,s_score;
4、查询语句中创建表并加载数据（as select）
create table score5 as select * from score;
5、创建表时通过location指定加载数据路径
create external table score6 (s_id string,c_id string,s_score int) row format delimited fields terminated by ‘\t’ location ‘/myscore6’;
Hive表数据的导出
1、将查询的结果导出到本地
insert overwrite local directory ‘/export/servers/exporthive/a’ select * from score;
2、将查询的结果格式化导出到本地 insert overwrite local directory ‘/export/servers/exporthive’ row format delimited fields terminated by ‘\t’ collection items terminated by ‘#’ select * from student;
3、将查询的结果导出到HDFS上(没有local)
insert overwrite directory ‘/export/servers/exporthive’ row format delimited fields terminated by ‘\t’ collection items terminated by ‘#’ select * from score;
4、Hadoop命令导出到本地 dfs -get /export/servers/exporthive/000000_0 /export/servers/exporthive/local.txt;
5.hive shell 命令导出 bin/hive -e “select * from yhive.score;” > /export/servers/exporthive/score.txt
6.export导出到HDFS上（全表导出） export table score to ‘/export/exporthive/score’;