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
2 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。
3 20170501
4 ym/day/hm
5 //过去的五周，每周的活跃数
6 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) ;
7 2.最近的六个月(包含本月)每月的月活跃数。
8 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') ;
9 3.沉默用户数
10 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
11 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
12 4.启动次数
13 4.1)今天app的启动次数
14 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。
15 select count(*) from ext_startup_logs where appid = 'sdk34734' and ym = formattime(getdaybegin(),'yyyyMM') and day = formattime(getdaybegin(),'dd');
16 5.版本分布
17 5.1)今天appid为34734的不同版本的活跃用户数。
18 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 ;
19
20 5.2)本周内每天各版本日活
21 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
22
23
24 [用户构成分析]
25 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
26 select
27 distinct a.deviceid
28 from ext_startup_logs a
29 where a.appid = 'sdk34734' and concat(a.ym,a.day) >= formattime(getweekbegin(),'yyyyMMdd') and a.deviceid not in (
30 select
31 distinct t.deviceid
32 from ext_startup_logs t
33 where t.appid = 'sdk34734' and concat(t.ym,t.day) >= formattime(getweekbegin(-1),'yyyyMMdd') and concat(t.ym,t.day) < formattime(getweekbegin(),'yyyyMMdd')
34 )
35
36 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
37 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
38
39 3.忠诚用户 连续活跃5周的
40 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
41
42 4.连续活跃用户 连续活跃n周
43 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
44
45
46 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'))
47
48 5.近期流失用户
49 最近2、3、4都没有启动过app.
50 查询所有用户访问的时间的max,max不能落在
51 //四周内流失
52 select
53 distinct(deviceid)
54 from ext_startup_logs
55 where appid='#'
56 and concat(ym,day) >= formattime(getweekbegin(-4),'yyyyMMdd')
57 and concat(ym,day) < formattime(getweekbegin(-3),'yyyyMMdd')
58 and deviceid not in (
59 select
60 distinct(t.deviceid)
61 from ext_startup_logs t
62 where t.appid=''
63 and concat(t.ym,t.day) >= formattime(getweekbegin(-3),'yyyyMMdd')
64
65 )
66 union
67 //三周内流失
68 select
69 distinct(deviceid)
70 from ext_startup_logs
71 where appid='#'
72 and concat(ym,day) >= formattime(getweekbegin(-3),'yyyyMMdd')
73 and concat(ym,day) < formattime(getweekbegin(-2),'yyyyMMdd')
74 and deviceid not in (
75 select
76 distinct(t.deviceid)
77 from ext_startup_logs t
78 where t.appid=''
79 and concat(t.ym,t.day) >= formattime(getweekbegin(-2),'yyyyMMdd')
80
81 )
82 union
83 //两周内流失
84 select
85 distinct(deviceid)
86 from ext_startup_logs
87 where appid='#'
88 and concat(ym,day) >= formattime(getweekbegin(-2),'yyyyMMdd')
89 and concat(ym,day) < formattime(getweekbegin(-1),'yyyyMMdd')
90 and deviceid not in (
91 select
92 distinct(t.deviceid)
93 from ext_startup_logs t
94 where t.appid=''
95 and concat(t.ym,t.day) >= formattime(getweekbegin(-1),'yyyyMMdd')
96 )
97
98
99
100 [留存分析]
101 1.留存用户
102 周留存用户。上周新增的用户在本周还使用的
103 select
104 distinct(a.deviceid)
105 from ext_startup_logs a
106 where a.appid = 'sdk34734'
107 and concat(a.ym,a.day) >= formattime(getweekbegin(-1),'yyyyMMdd')
108 and concat(a.ym,a.day) < formattime(getweekbegin(),'yyyyMMdd')
109 and a.deviceid in (
110 select distinct(t.deviceid)
111 from (
112 select tt.deviceid , min(tt.createdatms) mintime
113 from ext_startup_logs tt
114 where tt.appid = 'sdk34734'
115 group by tt.deviceid having mintime >= getweekbegin(-2) and mintime < getweekbegin(-1)
116 ) t
117 )
118
119
120
121
122 2.用户的新鲜度
123 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 .
124 //今天活跃用户
125
126 m = select count(distinct(t.deviceid))
127 from ext_startup_logs where concat(ym,day) = formattime(getdaybegin(),'yyyyMMdd') and appid = ... ;
128 //今天新增用户
129 n = select count(distinct(t.deviceid))
130 from (
131 select tt.deviceid , min(tt.createdatms) mintime
132 from ext_startup_logs tt
133 where tt.appid = 'sdk34734'
134 group by tt.deviceid having mintime >= getdaybegin(0)
135 ) t