I have a table with column cust_id, year_, month_, monthly_txn, monthly_bal
. I need
to calculate the previous three month and previous six month avg(monthly_txn)
and variance(monthly_bal)
for each month. I have a query which returns avg and variance for last three and six month only for last month not for each month. I am not good in analytical function in Hive.
SELECT cust_id, avg(monthly_txn)y,variance(monthly_bal)x, FROM (
SELECT cust_id, monthly_txn,monthly_bal,
row_number() over (partition by cust_id order by year_,month_ desc) r
from mytable) b WHERE r <= 3 GROUP BY cust_id
But I want something like below.
input:
cust_id year_ month_ monthly_txn monthly_bal
1 2018 1 456 8979289
1 2018 2 675 4567
1 2018 3 645 4890
1 2017 1 342 44522
1 2017 2 378 9898900
1 2017 2 456 234492358
1 2017 4 3535 789
1 2017 5 456 345
1 2017 6 598 334
expecting output:
suppose for txn the quaterly and half yearly txn will be like this same for variance also
cust_id year_ month_ monthly_txn monthly_bal q_avg_txn h_avg_txn
1 2018 1 456 8979289 avg(456,598,4561) avg(456,598,4561,3535,4536,378)
1 2018 2 675 4567 avg(675,456,598) avg(675,456,3535,4561,598,4536)
1 2018 3 645 4890 avg(645,675,645) avg(645,675,645,3535,4561,598)
1 2017 1 342 44522 avg(342) avg(342)
1 2017 2 378 9898900 avg(378,342) avg(378,342)
1 2017 3 4536 234492358 avg(4536,372,342) avg(4536,378,342)
1 2017 4 3535 789 avg(3535,4536,378) avg(3535,4536,378,342)
1 2017 5 4561 345 avg(4561,3535,4536) avg(4561,3535,4536,342,378)
1 2017 6 598 334 avg(598,4561,3535) avg(598,4561,3535,4536,342,378)