[英]Teradata Get MTD Unique Users for each day (ex. on 12th Mar I need to have 1st to 12th unique users. similarly for each date for last one year
I need to get MTD Unique users count each day for last 1 year.我需要让 MTD 唯一用户数在过去 1 年内每天计数。 Ex.前任。 if my data is like如果我的数据就像
dt customername
1 a
1 b
2 a
2 c
3 b
3 a
4 c
4 d
4 e
expected output- on 1st only 2 unique user.预期输出 - 第一个只有 2 个唯一用户。 on 2nd (1&2nd) 3 users.在第 2 个(第 1 个和第 2 个)3 个用户上。 on 3rd (1st to 3rd) 3 users.第 3 位(第 1 至第 3 位)3 个用户。 on 4th (1st to 4th) 5 users. 4 日(第 1 至 4 日)5 个用户。 I need this for each month for each date for last 1 year我在过去 1 年的每个日期的每个月都需要这个
dt uniquecustcount
1 2
2 3
3 3
4 5
my data is in below format, bu core logic is above one for MTD.我的数据采用以下格式,但 MTD 的核心逻辑高于 1。 Appreciate any help please请感谢任何帮助
CREATE MULTISET TABLE GK_DAILY_USERS ,NO FALLBACK ,
NO BEFORE JOURNAL,
NO AFTER JOURNAL,
CHECKSUM = DEFAULT,
DEFAULT MERGEBLOCKRATIO
(
EVENT_DATE DATE FORMAT 'yyyy-mm-dd',
Subs_Id INTEGER,
PAYMENT_METHOD_CD VARCHAR(8) CHARACTER SET UNICODE NOT CASESPECIFIC,
Data_User_Flag VARCHAR(1) CHARACTER SET UNICODE NOT CASESPECIFIC,
BUS_UNIT VARCHAR(20) CHARACTER SET LATIN NOT CASESPECIFIC,
Event_Count INTEGER)
PRIMARY INDEX ( EVENT_DATE ,Subs_Id );
Insert into GK_DAILY_USERS values (?,?,?,?,?,?);
I am trying below sql.我正在尝试下面的sql。 I know this sql doesnt make sense and hence looking for solution.我知道这个 sql 没有意义,因此正在寻找解决方案。
SELECT EVENT_DATE, MAX(R2) FROM (
SELECT EVENT_DATE
,COUNT(A.SUBS_ID)OVER(ORDER BY ROWNUM,A.SUBS_ID) AS R2
FROM (
SELECT A.EVENT_DATE,A.SUBS_ID
,Row_Number() Over (Order by EVENT_DATE, SUBS_ID) rownum
,COUNT(A.SUBS_ID)OVER(PARTITION BY A.SUBS_ID ORDER BY A.EVENT_DATE) AS RUN_TOTAL3
FROM GK_DAILY_USERS A
WHERE Data_User_Flag='Y'
AND subs_id in (566875703,289813839, 151153086,279262050,18378517)
ORDER BY EVENT_DATE, SUBS_ID
) A
WHERE RUN_TOTAL3 = 1
) A GROUP BY EVENT_DATE ORDER BY 1
;
SELECT EVENT_DATE
-- new customers per date
,Sum(SUBS_ID) AS daily_new_cust
-- running total of new customers per date
,Sum(Sum(SUBS_ID))
Over(ORDER BY EVENT_DATE
ROWS Unbounded Preceding) AS unique_cust
FROM
(
SELECT *
FROM GK_DAILY_USERS
WHERE Data_User_Flag='Y'
AND subs_id IN (566875703,289813839, 151153086,279262050,18378517)
QUALIFY
-- return a single row with the earliest date for each subs_id
Row_Number()
Over (PARTITION BY A.SUBS_ID
ORDER BY EVENT_DATE) = 1
) AS dt
GROUP BY EVENT_DATE
ORDER BY 1
;
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.