数据导入表的方式 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
（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'); 3、多插入模式
insert overwrite table score_fifirst partition(month='201806') select s_id,c_id from score ;
insert overwrite table score_second partition(month = '201806') select c_id,s_score from 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 fifields terminated by '\t'
location '/myscore6';数据导出表的方式 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 fifields 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 fifields terminated by '\t' collection
items terminated by '#' select * from score;4、Hadoop命令导出到本地
hdfs 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';7、SQOOP导出