hive load用法：
load data local inpath '/home/data/stg_activity_antirush_apply.txt'
overwrite into table stg_activity_antirush_apply;
关键字local 不加数据从hdfs上加载，如果加local数据从本地加载；
关键字overwrite 为覆盖加载，会覆盖掉原有的数据；
动态分区设置
也可以在配置文件中修改
--SET hive.exec.dynamic.partition=true;
--SET hive.exec.dynamic.partition.mode=nonstrict;
--SET hive.exec.max.dynamic.partitions.pernode = 1000;
--SET hive.exec.max.dynamic.partitions=1000;
<property>
<name>hive.exec.dynamic.partition</name>
<value>true</value>
<description>Whether or not to allow dynamic partitions in DML/DDL.</description>
</property>
<property>
<name>hive.exec.dynamic.partition.mode</name>
<value>nonstrict</value>
<description>
In strict mode, the user must specify at least one static partition
in case the user accidentally overwrites all partitions.
In nonstrict mode all partitions are allowed to be dynamic.
</description>
</property>
<property>
<name>hive.exec.max.dynamic.partitions</name>
<value>100000</value>
<description>Maximum number of dynamic partitions allowed to be created in total.</description>
</property>
<property>
<name>hive.exec.max.dynamic.partitions.pernode</name>
<value>10000</value>
<description>Maximum number of dynamic partitions allowed to be created in each mapper/reducer node.</description>
</property>
<property>
<name>hive.exec.max.created.files</name>
<value>100000</value>
<description>Maximum number of HDFS files created by all mappers/reducers in a MapReduce job.</description>
</property>
insert overwrite table dw_activity_antirush_apply PARTITION(DateID = ${etlDate}) --手动分区
select * from tablename;
insert into table dw_activity_antirush_apply PARTITION(DateID = ${etlDate}) --手动分区
select * from tablename;
insert overwrite table dw_activity_antirush_apply PARTITION(DateID) --动态分区
select *, column_name as dateid from tablename;
INSERT OVERWRITE会覆盖表或分区中已存在的数据
INSERT INTO以追加数据的方式插入到表或分区，原有数据不会删除
Insert可以插入表或分区，如果表是分区表，则Insert时需要指定插入到哪个分区