Hive动态分区

 create table dpartition(id int ,name string )
   partitioned by(ct string  );

hive>
 set  hive.exec.dynamic.partition=true;  #开启动态分区，默认是false
 set hive.exec.dynamic.partition.mode=nonstrict; #开启允许所有分区都是动态的，否则必须要有静态分区才能使用。
-- 开始抽取
 insert overwrite table dpartition
 partition(ct)
 select id ,name,city from  mytest_tmp2_p; 

hive>--查看可知，hive已经完成了以city字段为分区字段，实现了动态分区。
hive (fdm_sor)> show partitions dpartition;
partition
ct=beijing
ct=beijing1

1.创建一个只有一个字段，两个分区字段的分区表
hive (fdm_sor)> create table ds_parttion(id int ) 
              > partitioned by (state string ,ct string );
2.往该分区表半动态分区插入数据 
hive>
 set hive.exec.dynamic.partition=true;
 set hive.exec.dynamic.partition.mode=nonstrict;
 insert overwrite table ds_parttion
 partition(state=‘china‘,ct)  #state分区为静态，ct为动态分区，以查询的city字段为分区名
 select id ,city from  mytest_tmp2_p; 
 
3.查询结果显示：
hive (fdm_sor)> select *  from ds_parttion where state=‘china‘
              > ;
ds_parttion.id  ds_parttion.state       ds_parttion.ct
4       china   beijing
3       china   beijing
2       china   beijing
1       china   beijing
4       china   beijing1
3       china   beijing1
2       china   beijing1
1       china   beijing1
 
hive (fdm_sor)> select *  from ds_parttion where state=‘china‘ and ct=‘beijing‘;
ds_parttion.id  ds_parttion.state       ds_parttion.ct
4       china   beijing
3       china   beijing
2       china   beijing
1       china   beijing
 
hive (fdm_sor)> select *  from ds_parttion where state=‘china‘ and ct=‘beijing1‘;
ds_parttion.id  ds_parttion.state       ds_parttion.ct
4       china   beijing1
3       china   beijing1
2       china   beijing1
1       china   beijing1
Time taken: 0.072 seconds, Fetched: 4 row(s)

 set hive.exec.dynamic.partition=true;
 set hive.exec.dynamic.partition.mode=nonstrict;
 insert overwrite table ds_parttion
 partition(state,ct)
 select id ,country,city from  mytest_tmp2_p; 
注意：字段的个数和顺序不能弄错。