根据uid计算用户活跃日期及进行用户日活分类

1、建表

drop table if exists oss_bi_all_type_of_dau101;
CREATE EXTERNAL TABLE `oss_bi_all_type_of_dau101`(
  `uid` bigint, 
  `newer_day` string, 
  `remain_day_num` int, 
  `parms` map<string,string>)
PARTITIONED BY (
  `pt_month` string, 
  `pt_day` string)
ROW FORMAT SERDE 
  'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' 
WITH SERDEPROPERTIES ( 
  'colelction.delim'='\u0002', 
  'mapkey.delim'='\u0003') 
STORED AS INPUTFORMAT 
  'org.apache.hadoop.mapred.TextInputFormat' 
OUTPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
  'hdfs:///emr-cluster/user/hive/warehouse/oss_bi_all_type_of_dau101';

2、添加分区及数据

alter table oss_bi_all_type_of_dau101 drop if exists partition (pt_month='2018-08',pt_day='2018-08-01');
alter table oss_bi_all_type_of_dau101 add partition (pt_month='2018-08',pt_day='2018-08-01') location 'oss://[ossKey]:[ossKeyVal]@chushou-hz.oss-cn-hangzhou-internal.aliyuncs.com/hive/oss_bi_all_type_of_dau101/2018-08/2018-08-01';

with tab_curr_dau as(
select pt_day,parms['uid'] uid
from oss_bi_all_jellyfish_log
where pt_day ='2018-08-01' and log_type=2 and parms['roomId']=101
group by pt_day,parms['uid']),
tab_his_dau as (
select uid,min(pt_day) newer_day
from oss_bi_all_type_of_dau101
where pt_day <'2018-08-01'
group by uid)
insert into oss_bi_all_type_of_dau101 partition (pt_month='2018-08',pt_day='2018-08-01')(uid,newer_day,remain_day_num,parms)
select a1.uid,case when a2.uid is null then a1.pt_day else a2.newer_day end newer_day,datediff(a1.pt_day,case when a2.uid is null then a1.pt_day else a2.newer_day end) remain_day_num,str_to_map('') parms
from tab_curr_dau a1
left join tab_his_dau a2 on a1.uid=a2.uid
;

3、说明
建表的时候可以设定存储在hdfs上，在添加分区的时候可以将数据指定在oss上。
map空数据的insert into的方法，通过str_to_map('')方法来实现。
可以写成python脚本，进行顺序调度；因为当天的数据依赖于昨天的数据跑出，所以必须串行调度。

根据uid计算用户活跃日期及进行用户日活分类

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