retrieve multible columns group by date intervall - oracle

Question

I want to retrieve multible columns, sum of weight data from a table over a whole month. what I need help with is that I want to group the result into 2 parts sum of 1-15 of the month and second line 16-31 of the month.
Select TO_CHAR(sysdate) dummy
(SELECT(SUM(B.SCALE_WEIGHT) FROM TRACKING.DATALOG_TAB B WHERE B.MATERIALID= 1
AND B.SCALE_EVENTDATE BETWEEN TO_DATE(TRUNC(TO_DATE('2020-10-1', 'YYYY-MM-
DD'),'MONTH')) AND TO_DATE(TRUNC(TO_DATE('2020-11-1', 'YYYY-MM-DD'),
'MONTH')+16)) as MTRL1,
(SELECT(SUM(B.SCALE_WEIGHT) FROM TRACKING.DATALOG_TAB B WHERE B.MATERIALID= 2
AND B.SCALE_EVENTDATE BETWEEN TO_DATE(TRUNC(TO_DATE('2020-10-1', 'YYYY-MM-
DD'),'MONTH')) AND TO_DATE(TRUNC(TO_DATE('2020-11-1', 'YYYY-MM-DD'),
'MONTH')+16)) as MTRL2
FROM DUAL
GROUP BY(somthing like this - 1-15 and 16-31);
UPDATE
the result should look like this

Answer 1

To me, it looks like this:
select
sum(case when b.materialid = 1 and
to_number(to_char(b.scale_eventdate, 'dd')) between 1 and 15 then
b.scale_weight
end) mtrl1,
--
sum(case when b.materialid = 2 and
to_number(to_char(b.scale_eventdate, 'dd')) between 16 and 31 then
b.scale_weight
end) mtrl2
from datalog_tab b
where to_char(b.scale_eventdate, 'yyyymm') = '202010'
In other words, check whether day of scale_eventdate column belongs to 1st or 2nd half of the month and sum scale_weight accordingly.

Answer 2

If you have the sample data:
CREATE TABLE tracking.datalog_tab ( materialid, scale_eventdate, scale_weight ) AS
SELECT 1, DATE '2020-10-01', 1 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-15', 2 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-16', 3 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-31', 4 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-01', -1 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-15', -2 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-16', -3 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-31', -4 FROM DUAL;
You can use:
SELECT MATERIALID,
CASE
WHEN EXTRACT( DAY FROM SCALE_EVENTDATE ) <= 15
THEN ' 1-15'
ELSE '16-31'
END AS day_range,
SUM(SCALE_WEIGHT)
FROM TRACKING.DATALOG_TAB
WHERE MATERIALID IN ( 1, 2 )
AND SCALE_EVENTDATE >= DATE '2020-10-01'
AND SCALE_EVENTDATE < DATE '2020-11-01'
GROUP BY
MATERIALID,
CASE
WHEN EXTRACT( DAY FROM SCALE_EVENTDATE ) <= 15
THEN ' 1-15'
ELSE '16-31'
END;
Which outputs:
MATERIALID | DAY_RANGE | SUM(SCALE_WEIGHT)
---------: | :-------- | ----------------:
1 | 1-15 | 3
2 | 1-15 | -3
1 | 16-31 | 7
2 | 16-31 | -7
Or, if you want them as columns then PIVOT:
SELECT *
FROM (
SELECT MATERIALID,
CASE
WHEN EXTRACT( DAY FROM SCALE_EVENTDATE ) <= 15
THEN ' 1-15'
ELSE '16-31'
END AS day_range,
SCALE_WEIGHT
FROM TRACKING.DATALOG_TAB
WHERE MATERIALID IN ( 1, 2 )
AND SCALE_EVENTDATE >= DATE '2020-10-01'
AND SCALE_EVENTDATE < DATE '2020-11-01'
)
PIVOT (
SUM( scale_weight ) FOR ( materialid, day_range ) IN (
( 1, ' 1-15' ) AS mtrl1_01_15,
( 1, '16-31' ) AS mtrl1_16_31,
( 2, ' 1-15' ) AS mtrl2_01_15,
( 2, '16-31' ) AS mtrl2_16_31
)
);
Which outputs:
MTRL1_01_15 | MTRL1_16_31 | MTRL2_01_15 | MTRL2_16_31
----------: | ----------: | ----------: | ----------:
3 | 7 | -3 | -7
db<>fiddle here
Update
SELECT *
FROM (
SELECT MATERIALID,
CASE
WHEN EXTRACT( DAY FROM SCALE_EVENTDATE ) <= 15
THEN ' 1-15 '
ELSE '16-31 '
END
|| TO_CHAR( scale_eventdate, 'Mon' ) AS date_range,
SCALE_WEIGHT
FROM /*TRACKING.*/DATALOG_TAB
WHERE MATERIALID IN ( 1, 2, 3 )
AND SCALE_EVENTDATE >= DATE '2020-10-01'
AND SCALE_EVENTDATE < DATE '2020-11-01'
)
PIVOT (
SUM( scale_weight ) FOR materialid IN (
1 AS sum_mtrl1_weight,
2 AS sum_mtrl2_weight,
3 AS sum_mtrl3_weight
)
);
Which, for the sample data:
CREATE TABLE /*TRACKING.*/datalog_tab ( materialid, scale_eventdate, scale_weight ) AS
SELECT 1, DATE '2020-10-01', 25 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-15', 75 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-16', 125 FROM DUAL UNION ALL
SELECT 1, DATE '2020-10-31', 375 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-01', 90 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-15', 110 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-16', 90 FROM DUAL UNION ALL
SELECT 2, DATE '2020-10-31', 125 FROM DUAL UNION ALL
SELECT 3, DATE '2020-10-01', 120 FROM DUAL UNION ALL
SELECT 3, DATE '2020-10-16', 120 FROM DUAL UNION ALL
SELECT 3, DATE '2020-10-31', 240 FROM DUAL;
Outputs:
DATE_RANGE | SUM_MTRL1_WEIGHT | SUM_MTRL2_WEIGHT | SUM_MTRL3_WEIGHT
:--------- | ---------------: | ---------------: | ---------------:
1-15 Oct | 100 | 200 | 120
16-31 Oct | 500 | 215 | 360
db<>fiddle here