I have a tables as below
row_wid id code sub_code item_nbr orc_cnt part_cnt variance reporting_date var_start_date
1 1 ABC PQR 23AB 0 1 1 11-10-2019 NULL
2 1 ABC PQR 23AB 0 1 1 12-10-2019 NULL
3 1 ABC PQR 23AB 1 1 0 13-10-2019 NULL
4 1 ABC PQR 23AB 1 2 1 14-10-2019 NULL
5 1 ABC PQR 23AB 1 3 2 15-10-2019 NULL
I have to update var_start_date column with min(reporting_date) for each combination of id,code,sub_code and item_nbr only till variance field is zero.
Row with variance = 0 should have null var_start_date. and next row after that should have next min(var_start_date.). FYI, variance is calculated as par_cnt-orc_cnt
so my output should look like this -
row_wid id code sub_code item_nbr orc_cnt part_cnt variance reporting_date var_start_date
1 1 ABC PQR 23AB 0 1 1 11-10-2019 11-10-2019
2 1 ABC PQR 23AB 0 1 1 12-10-2019 11-10-2019
3 1 ABC PQR 23AB 1 1 0 13-10-2019 NULL
4 1 ABC PQR 23AB 1 2 1 14-10-2019 14-10-2019
5 1 ABC PQR 23AB 1 3 2 15-10-2019 14-10-2019
I am trying to write a function using below query to divide the data into sets.
SELECT DISTINCT MIN(reporting_date)
OVER (partition by id, code,sub_code,item_nbr ORDER BY row_wid ),
RANK() OVER (partition by id, code,sub_code,item_nbr ORDER BY row_wid)
AS rnk,id, code,sub_code,item_nbr,orc_cnt,part_cnt,variance,row_wid
FROM TABLE T1
.But dont know how to include variance field to split the sets.
I would suggest:
select t.*,
(case when variance <> 0
then min(reporting_date) over (partition by id, code, sub_code, item_nbr, grouping)
end) as new_reporting_date
from (select t.*,
sum(case when variance = 0 then 1 else 0 end) over (partition by id, code, sub_code, item_nbr) as grouping
from t
) t;
Note that this does not use a JOIN. It should be more efficient than an answer that does.
Try as below
SELECT T.*, CASE WHEN T.variance = 0 THEN NULL ELSE MIN(reporting_date) OVER (PARTITION BY T1.RANK ORDER BY T1.RANK) END AS New_var_start_date
FROM mytbl T
LEFT JOIN (
SELECT row_wid, variance, COUNT(CASE variance WHEN 0 THEN 1 END) OVER (ORDER BY row_wid ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) +1 AS [Rank]
FROM mytbl
) T1 ON T.row_wid = T1.row_wid
SQL FIDDLE DEMO
Related
i have following table
id statusid
100 1
100 2
100 3
101 1
101 3
i am getting the result like following
id data1 data2 data3
100 1 1 1
101 1 0 1
but i want the result like following
id data1 data2+data3
100 1 2
101 1 1
i am using the following query:
select id, SUM(CASE WHEN statusid=1 THEN 1 ELSE 0 END) AS data1,
SUM(CASE WHEN statusid=2 THEN 1 ELSE 0 END) AS data2,
SUM(CASE WHEN statusid=3 THEN 1 ELSE 0 END) AS data3
from employee
group by id
any help.
thank you.
Sudha.
You can count statuses 2 and 3 together like so:
select id,
sum(case when statusid = 1 then 1 else 0 end) as data1,
sum(case when statusid in (2, 3) then 1 else 0 end) as data2_3
from employee
group by id
You may use PIVOT clause to get the required result.
Use DECODE to map the status so that the 2 and 3 produce the same value
with tab2 as (select
id, decode(status_id,3,2,status_id) status_id2
from tab)
select * from tab2
PIVOT (count(*) "CNT" for status_id2 in
(1 as "DATA_1",
2 as "DATA_2_3")
)
ID DATA_1_CNT DATA_2_3_CNT
---------- ---------- ------------
100 1 2
101 1 1
Here is the issue:
Table name = a
1 2 3
123 1 A
123 1 A
123 2 A
332 1 A
332 1 A
321 2 B
321 2 A
321 1 A
So far what I have is this:
select distinct 1,2,3 from a where a.2='1' and a.3='B';
What it returns is each result (except for 321).
I only want to select values column 1 as long as that value is not in a row where there is a 2 in column 2 or a B in column 3. Is this possible?
"not in a row where there is a 2 in column 2 or a B in column 3" can be expressed as
select distinct 1,2,3 from a where a.2!='2' or a.3!='B';
or
select distinct 1,2,3 from a where a.2 <> '2' or a.3 <> 'B';
I would use group by and having:
select col1
from t
group by col1
having sum(case when col2 = 2 then 1 else 0 end) = 0 and
sum(case when col3 = 'B' then 1 else 0 end) = 0;
I need to concatenate rows values into a column based on which group the row belongs to using two grouping values.
TBL1
cat1 cat2 cat3 value
---- ---- ---- -----
1 1 lvl1 100
1 2 lvl2 abc
1 3 lvl2 cba
2 1 lvl1 200
2 2 lvl2 abb
3 1 lvl1 100
3 2 lvl2 bbc
3 3 lvl2 acc
3 4 lvl1 400
3 5 lvl2 acc
4 1 lvl1 300
4 2 lvl2 aab
...
TBL2
cat1 cat2 value
---- ---- ---------
1 100 abc, cba
2 200 abb
3 100 bbc, aac
3 400 aac
4 300 aab
...
This is using static DB2 SQL. The actual table has over a thousand records.
At least some versions of DB2 support listagg(). So the tricky part is identifying the groups. You can do this by counting the number of rows with where the value is a number, cumulatively. The resulting query is something like this:
select cat1,
max(case when value >= '0' and value <= '999' then value end) as cat2,
listagg(case when not value >= '0' and value <= '999' then value end, ', ') within group (order by cat2) as value
from (select t.*,
sum(case when value >= '0' and value <= '999' then 1 else 0 end) over (order by cat1, cat2) as grp
from t
) t
group by cat1, grp;
Checking for a number in DB2 can be tricky. The above uses simple between logic that is sufficient for your sample data.
I have the following Result from Select statement
UnitId UnitType GroupId
1 1 1
2 1 1
3 1 2
4 2 2
5 2 2
6 2 2
7 2 2
I need the following result for each group Id
GroupId CountBasedOnUnitType1 CountBasedOnUnitType2
1 2 0
2 1 4
Thanks in advance.
Try this
SELECT * FROM
(
SELECT GroupId,
UnitType
FROM Table1
) x
Pivot
(
Count(UnitType)
For UnitType in ([1], [2])
) p
Fiddle Demo
Output
GroupId 1 2
1 2 0
2 1 4
Does in necessarily need to have OVER?
select
GroupID,
sum(case when UnitType = 1 then 1 else 0 end) CountBasedOnUnitType1,
sum(case when UnitType = 2 then 1 else 0 end) CountBasedOnUnitType2
from table
group by GroupID
I need to create query that has below result.
I add my table for example for better understanding.
QTable:
QID Name
-------
1 x
1 y
2 z
FTable:
QID FID
-------
1 1
1 2
2 3
Inner join with :
FID Type
-------
1 1
1 2
1 3
1 4
2 2
2 3
2 3
3 1
3 3
3 3
I need to result like this:
result:
QID FID-Count Type(1)-count Type(2)-count Type(3)-count Type(4)-count
-----------------------------------------------------------------
1 2 1 2 3 1
2 1 1 0 2 0
Thank u for help.
Ususally you can emulate a pivot with GROUP BY and SUM+CASE:
SELECT
T1.QID,
COUNT(DISTINCT T1.FID) as FIDCOUNT,
SUM(CASE WHEN Type=1 THEN 1 ELSE 0 END) as Type1Cnt,
SUM(CASE WHEN Type=2 THEN 1 ELSE 0 END) as Type2Cnt,
SUM(CASE WHEN Type=3 THEN 1 ELSE 0 END) as Type3Cnt,
SUM(CASE WHEN Type=4 THEN 1 ELSE 0 END) as Type4Cnt
FROM QFTable as T1
JOIN T2 ON
T1.FID=T2.FID
GROUP BY T1.QID
ORDER BY QID
SQLFiddle demo