hive 用户行为分析（活跃。启动，留存，回访，新增）的一些经典sql

　很简单的sql 用户分析语句 ：只要自定义简单的udf函数 获取统计时间createdatms字段的

使用的日历类 add方法 和simpledateformat 将long类型的 定义多个重载方法 获取返回值int类型 或者long类型 进行时间判断即可

getdaybegin（天开始），比如2017-08-08这一天的createtime为15288888888888 获取到 152888880000（代表20170808 00:00:00）当天开始的凌晨 
getWeekbegin，getMonthgin  同上道理 

 1.过去的五周(包含本周)某个app每周的周活跃用户数
 注意，如果能够界定分区区间的话，务必要进行分区限定查询。
 20170501
 ym/day/hm
 //过去的五周，每周的活跃数
 select  formattime(createdatms,'yyyyMMdd',0) stdate, count(distinct deviceid) stcount from ext_startup_logs where concat(ym,day)>=formattime(getweekbegin(-4),'yyyyMMdd') and appid ='sdk34734' group by formattime(createdatms,'yyyyMMdd',0) ;
 2.最近的六个月(包含本月)每月的月活跃数。
 select  formattime(createdatms,'yyyyMM') stdate, count(distinct deviceid) stcount from ext_startup_logs where ym >= formattime(getmonthbegin(-5),'yyyyMM') and appid ='sdk34734' group by formattime(createdatms,'yyyyMM') ;
 3.沉默用户数
 3.1)查询今天沉默用户数     //某个设备 启动时间 在今天（本周、本月） 只有一次 ，后续在无启动
 select count(*) from (select deviceid , count(createdatms) dcount,min(createdatms) dmin from ext_startup_logswhere appid = 'sdk34734' group by deviceid having dcount = 1 and min(createdatms) > getdaybegin(-1)) t
 4.启动次数
 4.1)今天app的启动次数
 启动次数类似于活跃用户数，活跃用户数去重，启动次数不需要去重。
 select count(*) from ext_startup_logs where appid = 'sdk34734' and ym = formattime(getdaybegin(),'yyyyMM') and day = formattime(getdaybegin(),'dd');
 5.版本分布
 5.1)今天appid为34734的不同版本的活跃用户数。
 select appversion,count(distinct deviceid) from ext_startup_logs where appid = 'sdk34734' and ym = formattime(getdaybegin(),'yyyyMM') and day = formattime(getdaybegin(),'dd') group by appversion ;
 
 5.2)本周内每天各版本日活
 select formattime(createdatms,'yyyyMMdd'),appversion , count(distinct deviceid) from ext_startup_logs where appid = 'sdk34734' and concat(ym,day) >= formattime(getweekbegin(),'yyyyMMdd') group by formattime(createdatms,'yyyyMMdd') , appversion
 
 [用户构成分析]
 1.本周回流用户  上周未启动，本周启动了的用   必须当使用not in 子查询和后续查询都必须加入别名
 select
 distinct a.deviceid
 from ext_startup_logs a
 where a.appid = 'sdk34734' and concat(a.ym,a.day) >= formattime(getweekbegin(),'yyyyMMdd') and a.deviceid not in (
 select
 distinct t.deviceid
 from ext_startup_logs t
 where t.appid = 'sdk34734' and concat(t.ym,t.day) >= formattime(getweekbegin(-1),'yyyyMMdd') and  concat(t.ym,t.day) < formattime(getweekbegin(),'yyyyMMdd')
 )
 
 2.连续活跃n周  连续三周活跃  2018101 20181008 20181016  去掉重有三次就是活跃
 select deviceid , count(distinct(formattime(createdatms,'yyyyMMdd',0))) c from ext_startup_logs where appid = 'sdk34734' and concat(ym,day) >= formattime(getweekbegin(-2),'yyyyMMdd') group by deviceid having c = 3
 
 3.忠诚用户 连续活跃5周的
 select deviceid , count(distinct(formattime(createdatms,'yyyyMMdd',0))) c from ext_startup_logs where appid = 'sdk34734' and concat(ym,day) >= formattime(getweekbegin(-4),'yyyyMMdd') group by deviceid having c = 5
 
 4.连续活跃用户 连续活跃n周
 select deviceid , count(distinct(formattime(createdatms,'yyyyMMdd',0))) c from ext_startup_logs where appid = 'sdk34734' and concat(ym,day) >= formattime(getweekbegin(-1),'yyyyMMdd') group by deviceid having c = 2
 
 select distinct(a.deviceid) from ext_startup_logs a where  concat(a.ym,a.day) < formattime(getweekbegin(-4),'yyyyMMdd') and  deviceid not in ( select distinct(t.deviceid) from ext_startup_logs t where concat(t.ym,t.day)>=formattime(getweekbegin(-4),'yyyyMMdd'))
 
 5.近期流失用户
 最近2、3、4都没有启动过app.
 查询所有用户访问的时间的max,max不能落在
 //四周内流失
 select
 distinct(deviceid)
 from ext_startup_logs
 where appid='#'
 and concat(ym,day) >= formattime(getweekbegin(-4),'yyyyMMdd')
 and concat(ym,day) < formattime(getweekbegin(-3),'yyyyMMdd')
 and deviceid not in (
 select
 distinct(t.deviceid)
 from ext_startup_logs t
 where t.appid=''
 and concat(t.ym,t.day) >= formattime(getweekbegin(-3),'yyyyMMdd')
 
 )
 union
 //三周内流失
 select
 distinct(deviceid)
 from ext_startup_logs
 where appid='#'
 and concat(ym,day) >= formattime(getweekbegin(-3),'yyyyMMdd')
 and concat(ym,day) < formattime(getweekbegin(-2),'yyyyMMdd')
 and deviceid not in (
 select
 distinct(t.deviceid)
 from ext_startup_logs t
 where t.appid=''
 and concat(t.ym,t.day) >= formattime(getweekbegin(-2),'yyyyMMdd')
 
 )
 union
 //两周内流失
 select
 distinct(deviceid)
 from ext_startup_logs
 where appid='#'
 and concat(ym,day) >= formattime(getweekbegin(-2),'yyyyMMdd')
 and concat(ym,day) < formattime(getweekbegin(-1),'yyyyMMdd')
 and deviceid not in (
 select
 distinct(t.deviceid)
 from ext_startup_logs t
 where t.appid=''
 and concat(t.ym,t.day) >= formattime(getweekbegin(-1),'yyyyMMdd')
 )
 
 [留存分析]
 1.留存用户
 周留存用户。上周新增的用户在本周还使用的
 select
 distinct(a.deviceid)
 from ext_startup_logs a
 where a.appid = 'sdk34734'
 and concat(a.ym,a.day) >= formattime(getweekbegin(-1),'yyyyMMdd')
 and concat(a.ym,a.day) < formattime(getweekbegin(),'yyyyMMdd')
 and a.deviceid in (
 select distinct(t.deviceid)
 from (
 select tt.deviceid , min(tt.createdatms) mintime
 from ext_startup_logs tt
 where tt.appid = 'sdk34734'
 group by tt.deviceid having mintime >= getweekbegin(-2) and mintime < getweekbegin(-1)
 ) t
 )
 
 2.用户的新鲜度
 新鲜度 = 某段时间的新增用户数/某段时间的活跃的老用户数 .
 //今天活跃用户
 
 m = select count(distinct(t.deviceid))
 from ext_startup_logs where concat(ym,day) = formattime(getdaybegin(),'yyyyMMdd')  and appid = ... ;
 //今天新增用户
 n = select count(distinct(t.deviceid))
 from (
 select tt.deviceid , min(tt.createdatms) mintime
 from ext_startup_logs tt
 where tt.appid = 'sdk34734'
 group by tt.deviceid having mintime >= getdaybegin(0)
 ) t