I have a quick question.
ATtaching the SS for reference.
How can i set a new column 'Status' as NO based the nvl condition if the id is null then i have to map to the corresponding of another table .
You can do that using case statement.
select
nvl(b.id,a.id) as id
,b.name
,case when nvl(b.id,a.id) is null then 'No' else 'Yes' End as Status
from dd b,
(select id, name from demo group by id, name)a
where a.id=b.id(+)
Related
Input:
I need to group by (mnth_end_d, id, name) and check if there is a value for debt_calc corresponding to when period_rank = 'T'. And if there's a value, you create this new column debt_exists and populate it with TRUE or FALSE as in the output table below. Any tips on how to do that in Teradata without using any joins (perhaps using partition over)?
Output:
Your requirement translates into a conditional aggregation in SQL:
-- if there is a value for debt_calc corresponding to when period_rank = 'T'
max(case when period_rank = 'T' and debt_calc is not null
then 'TRUE' -- populate it with TRUE or FALSE
else 'FALSE'
end)
over (partition by mnth_end_d, id, name) as debt_exists
I have to do a select query to create a view with specific criteria.
I have multiple tables which contains many many columns and lines.
However, I have extracted a value to use as my key (e.g.: id). I have 7000+ of those unique keys that I extracted from all my tables with the function UNION to avoid duplicates.
Now, I want to add a column INDICATOR_1 which will affect the value YES or NO based on criteria.
This is where I struggle.
I need to find the line in those tables that contain the id. After that, I'd like to check, always in that line, if the field XYZ contains the value 'N' (example). If yes, affect the value 'YES' to INDICATOR_1, else it's no.
In a matter of pseudo-code, what I want to do looks like this :
CASE
WHEN id = (id from table_1) AND (if table_1.xyz = 'N')
THEN 'YES'
ELSE 'NO'
END AS INDICATOR_1
I don't know if I'm clear enough, but your help will be greatly appreciated.
If I understand correctly, you want a separate indicator for each table. Something like this:
select i.*,
(case when exists (select 1
from table1 t1
where t1.id = i.id and t1.xyz = 'N'
)
then 'YES' else 'NO'
end) as indicator_1,
(case when exists (select 1
from table2 t2
where t2.id = i.id and t2.xyz = 'N'
)
then 'YES' else 'NO'
end) as indicator_2,
. . .
from (<your id list here>) i
I think you should fix this in the union, where you have all the data you need. You probably have something like:
SELECT Id
FROM table_1
UNION
SELECT Id
FROM table_2
How about selecting the information you want as well (I use distinct here to clarify):
SELECT DISTINCT Id
, CASE WHEN table_1.xyz = 'N' THEN 'N'
ELSE 'Y'
END INDICATOR_1
FROM table_1
This can lead to more records than you had, if id's can have records of both flavours exist. We can fix that with a row number in an outer query. You end up with something like:
SELECT Id
, INDICATOR_1
FROM (
SELECT Id
, INDICATOR_1
, ROW_NUMBER()OVER(PARTITION BY ID ORDER BY CASE WHEN INDICATOR_1 ='N' THEN 0 ELSE 1 END) RN
FROM (
SELECT Id
, CASE WHEN table_1.xyz = 'N' THEN 'N'
ELSE 'Y'
END INDICATOR_1
FROM table_1
UNION
...
) T
) S
WHERE S.RN = 1
You can in fact shorten that by using the inner most case expression in the ROW_NUMBER expression.
Here is my query with the output below the syntax.
SELECT DISTINCT CASE WHEN id = 'RUS0261431' THEN value END AS sr_type,
COUNT(CASE WHEN id in ('RUS0290788') AND value in ('1','2','3','4') THEN respondentid END) AS sub_ces,
COUNT(CASE WHEN id IN ('RUS0290788') AND value in ('5','6','7') THEN respondentid END) AS pos_ces,
COUNT(*) as total_ces
FROM `some_table`
WHERE id in ( 'RUS0261431') AND id <> '' AND value IS NOT NULL
GROUP BY 1
As you can see with the attached table I'm unable to group the values based on Id RUS0290788 with the distinct values that map to RUS0261431. Is there anyway to pivot with altering my case when statements so I can group sub_ces and pos_ces by sr_type. Thanks in advanceenter image description here
You can simplify your WHERE condition to WHERE id = ('RUS0261431'). Only records with this value will be selected so you do not have to repeat this in the CASE statements.
This question is related to conditional aggregation on SQLs. Normally we put conditions using 'case' statement in select clause but that case condition checks only the row under consideration. Consider the below data:
BEGIN TRANSACTION;
/* Create a table called NAMES */
CREATE TABLE NAMES(M CHAR, D CHAR, A INTEGER);
/* Create few records in this table */
INSERT INTO NAMES VALUES('M1','Y',2);
INSERT INTO NAMES VALUES('M1','Y',3);
INSERT INTO NAMES VALUES('M2','Y',2);
INSERT INTO NAMES VALUES('M2',null,3);
INSERT INTO NAMES VALUES('M3',null,2);
INSERT INTO NAMES VALUES('M3',null,3);
COMMIT;
This query groups using column 'M' and checks if column 'D' is null or not (separately for each record) and put a sum aggregation on column 'A'.
select sum(case when D = 'Y' then 0 else A end) from NAMES group by M;
Output for this query is:
M1|0
M2|3
M3|5
But if we want to check column 'D' for each record in the group if it is null. If any of the records is 'Y' in the group, do not perform 'sum' aggregation at all.
In brief, the expected output for the above scenario is:
M1|0
M2|0
M3|5
Answers in Spark SQL are highly appreciated.
You can use another case expression:
select (case when max(D) = min(D) and max(D) = 'Y' -- all the same
then sum(case when D = 'Y' then 0 else A end)
else 0
end)
from NAMES
group by M;
I need to write a query to produce a result to display the OLD_ACCOUNT_ID when available else NULL and the NEW_ACCOUNT_ID when available else NULL from the same table based on the conditions. I tried a query like below but this does not produce the data in separate columns as OLD and NEW. Can somebody please help.
SELECT DISTINCT
A.ACCOUNT_ID as NEW_ACCOUNT_ID,
A.ACTIVE_FLAG,A.DATA_ID
FROM Table A
WHERE DATA_SOURCE_PROVIDER_ID='X'
AND ACTIVE_FLAG='Y'
and DATA_ID= '12345678'
union
SELECT DISTINCT B.ACCOUNT_ID AS OLD_ACCOUNT_ID,
B.ACTIVE_FLAG,B.DATA_ID
FROM Table B
WHERE DATA_SOURCE_PROVIDER_ID='X'
AND ACTIVE_FLAG='N'
and DATA_ID= '12345678'
Use case
select DISTINCT
case ACTIVE_FLAG when 'Y' then ACCOUNT_ID end as NEW_ACCOUNT_ID,
case ACTIVE_FLAG when 'N' then ACCOUNT_ID end as OLD_ACCOUNT_ID,
ACTIVE_FLAG,D
DATA_ID
from Table
whene DATA_ID= '12345678';