Count based on a date condition in PLSQLDev - sql

Question

I need help to do a count based on a date condition.
I have a DB similar to the following:
ManDB
ID
report_date
traffic_v
traffic_ul
traffic_dl
a
1/12/2021
0
0
100
a
2/12/2021
0
0
100
a
3/12/2021
100
0
100
a
4/12/2021
100
0
100
b
1/12/2021
0
100
100
b
2/12/2021
0
0
0
b
3/12/2021
0
100
0
b
4/12/2021
100
100
0
I need you to count the data to zero, for which I have the query:
SELECT
ID AS SECTOR,
SUM(TRAFFIC) TRAFICO_VOZ,
SUM(TRAFFIC_DL_G) + SUM(TRAFFIC_DL_E) TRAFFIC_DL,
SUM(TRAFFIC_UL_G) + SUM(TRAFFIC_UL_E) TRAFFIC_UL
FROM
MainDB
GROUP BY ID
HAVING SUM(TRAFFIC) = 0
OR (SUM(TRAFFIC_DL_G) + SUM(TRAFFIC_DL_E)) = 0
OR (SUM(TRAFFIC_UL_G) + SUM(TRAFFIC_UL_E)) = 0
But I need you to count me from the current date backwards, how many days has it been zero
You should only count me from the last record in zero.
So you should get the following result:
Expected result
ID
traffic_v
count_v
traffic_ul
count_ul
traffic_dl
count_dl
a
200
0
0
4
400
0
b
100
0
200
0
0
3
I do not know how to set the condition so that it detects the date on which I began to have zero records and perform the count of days until the current date.
In cases where the register is different from zero, the count must be restarted.
The db is updated daily.
the counts are displayed correctly with the query, as I only care about zero data.
try to use SUM / CASE, but it counts me from the minimum date that it finds at zero, regardless of having a different record

Answer 1

You can use a MODEL clause:
SELECT id,
count_traffic_v,
sum_traffic_v,
count_traffic_ul,
sum_traffic_ul,
count_traffic_dl,
sum_traffic_dl
FROM (
SELECT *
FROM (
SELECT m.*,
ROW_NUMBER() OVER (PARTITION BY id ORDER BY report_date DESC) AS rn
FROM mainDB m
)
MODEL
PARTITION BY (id)
DIMENSION BY (report_date)
MEASURES (
rn,
traffic_v,
0 AS count_traffic_v,
0 AS sum_traffic_v,
traffic_ul,
0 AS count_traffic_ul,
0 AS sum_traffic_ul,
traffic_dl,
0 AS count_traffic_dl,
0 AS sum_traffic_dl
)
RULES AUTOMATIC ORDER (
count_traffic_v[report_date] = CASE traffic_v[cv()]
WHEN 0
THEN COALESCE(count_traffic_v[cv() - 1] + 1, 1)
ELSE 0
END,
sum_traffic_v[report_date] = CASE traffic_v[cv()]
WHEN 0
THEN 0
ELSE COALESCE(sum_traffic_v[cv() - 1], 0) + traffic_v[cv()]
END,
count_traffic_ul[report_date] = CASE traffic_ul[cv()]
WHEN 0
THEN COALESCE(count_traffic_ul[cv() - 1] + 1, 1)
ELSE 0
END,
sum_traffic_ul[report_date] = CASE traffic_ul[cv()]
WHEN 0
THEN 0
ELSE COALESCE(sum_traffic_ul[cv() - 1], 0) + traffic_ul[cv()]
END,
count_traffic_dl[report_date] = CASE traffic_dl[cv()]
WHEN 0
THEN COALESCE(count_traffic_dl[cv() - 1] + 1, 1)
ELSE 0
END,
sum_traffic_dl[report_date] = CASE traffic_dl[cv()]
WHEN 0
THEN 0
ELSE COALESCE(sum_traffic_dl[cv() - 1], 0) + traffic_dl[cv()]
END
)
)
WHERE rn = 1;
Which, for the sample data:
CREATE TABLE maindb (ID, report_date, traffic_v, traffic_ul, traffic_dl) AS
SELECT 'a', DATE '2021-12-01', 0, 0, 100 FROM DUAL UNION ALL
SELECT 'a', DATE '2021-12-02', 0, 0, 100 FROM DUAL UNION ALL
SELECT 'a', DATE '2021-12-03', 100, 0, 100 FROM DUAL UNION ALL
SELECT 'a', DATE '2021-12-04', 100, 0, 100 FROM DUAL UNION ALL
SELECT 'b', DATE '2021-12-01', 0, 100, 100 FROM DUAL UNION ALL
SELECT 'b', DATE '2021-12-02', 0, 0, 0 FROM DUAL UNION ALL
SELECT 'b', DATE '2021-12-03', 0, 100, 0 FROM DUAL UNION ALL
SELECT 'b', DATE '2021-12-04', 100, 100, 0 FROM DUAL;
Outputs:
ID
COUNT_TRAFFIC_V
SUM_TRAFFIC_V
COUNT_TRAFFIC_UL
SUM_TRAFFIC_UL
COUNT_TRAFFIC_DL
SUM_TRAFFIC_DL
a
0
200
4
0
0
400
b
0
100
0
200
3
0
db<>fiddle here