i have a table which i am joining with with operator. I can have 2 combinations id that table FDEL - 1 or 0 and FDVE 1 or 0, what i would like to do is to dispay if - item has fdve, or item has fdel (and count) but it doesnt work (i can see all fdve, or all fdel)
select
lpad(purchase_id,10,0) as purchase_id,
sum(has_label_fdel) as FDEL_count,
case when LABELS like '%FDVE%' then 1 else 0 end as HAS_LABEL_FDVE,
sum(has_label_fdve) as FDVE_count
from
"SRC_ORACLEIWP"."PURCHASE_ANALYSIS_RULES"
group by
lpad(purchase_id,10,0),has_label_fdve
having FDVE_count>0 -- FDEL_count>0
You want one resut row per product, so group by product only. Use SUMfor counting and MAX for the aggregated yes/no.
select
lpad(purchase_id,10,0) as padded_purchase_id,
max(has_label_fdve) as has_labels_fdve,
sum(has_label_fdve) as fdve_count,
max(has_label_fdel) as has_labels_fdel,
sum(has_label_fdel) as fdel_count
from src_oracleiwp.purchase_analysis_rules
group by padded_purchase_id
having has_labels_fdve = 1
or has_labels_fdel = 1
order by padded_purchase_id;
I've changed your alias names slightly, so they are digfferent from the columns you have (because such ambiguities can sometimes lead to problems).
The check on labels like '%FDVE%' is unnecessary, because you already have the has_label_fdve flag, which is always 0 or 1. Or so it seems. If the flags can be null, use COALESCE on them or do use LIKE expressions.
If you don't have has_label_fdve and has_label_fdel yet, use the labels column instead:
select
lpad(purchase_id,10,0) as padded_purchase_id,
max(case when labels like '%FDVE%' then 1 else 0 end) as has_labels_fdve,
sum(case when labels like '%FDVE%' then 1 else 0 end) as fdve_count,
max(case when labels like '%FDEL%' then 1 else 0 end) as has_labels_fdel,
sum(case when labels like '%FDEL%' then 1 else 0 end) as fdel_count
from src_oracleiwp.purchase_analysis_rules
group by padded_purchase_id
having has_labels_fdve = 1
or has_labels_fdel = 1
order by padded_purchase_id;
Related
For the above table, I need to reduce the rows down to one per Filter ID and have all the possible yes/no values showing for that particular Filter Id
for example:
Filter ID
Outpatient Prescriptions
Opioid Outpatient Prescriptions
...
IP Pharmacy Medication Orders - Component Level
1
Yes
Yes
...
No
How is this achieved?
If I understand your question, for each partition of FilterID value, you want any field that has a yes to be aggregated up as 'Yes', otherwise 'No'. If you group by FilterID then you can handle the rollup using a CASE SUM CASE.
SELECT
FilterID,
Field1Response = CASE WHEN SUM(CASE WHEN Field1='Yes' THEN 1 ELSE 0 END) > 1 THEN 'Yes' ELSE 'No' END,
Field2Response = CASE WHEN SUM(CASE WHEN Field2='Yes' THEN 1 ELSE 0 END) > 1 THEN 'Yes' ELSE 'No' END ,
Field3Response = CASE WHEN SUM(CASE WHEN Field3='Yes' THEN 1 ELSE 0 END) > 1 THEN 'Yes' ELSE 'No' END
...
FROM
Data
GROUP BY
FilterID
By the nature of the data, you can also simply use a MAX. This is not a good habit of getting into because the values may change over time, however, if the values are always Y or N then you could simply use MAX:
SELECT
FilterID,
Field1Response = MAX(Field1),
Field2Response = MAX(Field1),
Field3Response = MAX(Field1)
...
FROM
Data
GROUP BY
FilterID
I have a query where I have duplicate rows for certain ID's, but have two different columns created by window functions and need to create a flag for each row based on a certain order. I've provided an example below of what the data looks like.
I have a RANK_ONE column that returns a ranked value or null and not every ID has a value, but if it has a one, I need it to return a 1 for the row that contains 1.
The RANK_TWO column is basically the same, but I need to flag the 1 row IF there isn't already a 1 flagged from RANK_ONE for the same ID.
The PRIMARY column is my desired outcome. Any thoughts?
I don't know if I've just been in the query too long and can't see a simple solution right in front of me, but it's driving me nuts trying to figure it out.
You seem to want rank_one if it is every 1 for the id and otherwise rank_two:
select t.*,
(case when max(case when rank_one = 1 then 1 else 0 end) over (partition by id) = 1 and rank_one = 1 then 1
when max(case when rank_one = 1 then 1 else 0 end) over (partition by id) = 1 then 0
when rank_two = 1 then 1
else 0
end) as primary
from t;
This question already has an answer here:
How to use an Alias in a Calculation for Another Field
(1 answer)
Closed 3 years ago.
In my query below I am counting occurrences in a table based on the Status column. I also want to perform calculations based on the counts I am returning. For example, let's say I want to add 100 to the Snoozed value... how do I do this? Below is what I thought would do it:
SELECT
pu.ID Id, pu.Name Name,
COUNT(*) LeadCount,
SUM(CASE WHEN Status = 'Working' THEN 1 ELSE 0 END) AS Working,
SUM(CASE WHEN Status = 'Uninterested' THEN 1 ELSE 0 END) AS Uninterested,
SUM(CASE WHEN Status = 'Converted' THEN 1 ELSE 0 END) AS Converted,
SUM(CASE WHEN SnoozedId > 0 THEN 1 ELSE 0 END) AS Snoozed,
Snoozed + 100 AS Test
FROM
Prospects p
INNER JOIN
ProspectsUsers pu on p.OwnerId = pu.SalesForceId
WHERE
p.Store = '108'
GROUP BY
pu.Name, pu.Id
ORDER BY
Name
I get this error:
Invalid column name 'Snoozed'.
How can I take the value of the previous SUM statement, add 100 to it, and return it as another column? What I was aiming for is an additional column labeled Test that has the Snooze count + 100.
You can't use one column to create another column in the same way that you are attempting. You have 2 options:
Do the full calculation (as #forpas has mentioned in the comments above)
Use a temp table or table variable to store the data, this way you can get the first 5 columns, and then you can add the last column or you can select from the temp table and do the last column calculations from there.
You can not use an alias as a column reference in the same query. The correct script is:
SELECT
pu.ID Id, pu.Name Name,
COUNT(*) LeadCount,
SUM(CASE WHEN Status = 'Working' THEN 1 ELSE 0 END) AS Working,
SUM(CASE WHEN Status = 'Uninterested' THEN 1 ELSE 0 END) AS Uninterested,
SUM(CASE WHEN Status = 'Converted' THEN 1 ELSE 0 END) AS Converted,
SUM(CASE WHEN SnoozedId > 0 THEN 1 ELSE 0 END)+100 AS Snoozed
FROM
Prospects p
INNER JOIN
ProspectsUsers pu on p.OwnerId = pu.SalesForceId
WHERE
p.Store = '108'
GROUP BY
pu.Name, pu.Id
ORDER BY
Name
MSSQL does not allow you to reference fields (or aliases) in the SELECT statement from within the same SELECT statement.
To work around this:
Use a CTE. Define the columns you want to select from in the CTE, and then select from them outside the CTE.
;WITH OurCte AS (
SELECT
5 + 5 - 3 AS OurInitialValue
)
SELECT
OurInitialValue / 2 AS OurFinalValue
FROM OurCte
Use a temp table. This is very similar in functionality to using a CTE, however, it does have different performance implications.
SELECT
5 + 5 - 3 AS OurInitialValue
INTO #OurTempTable
SELECT
OurInitialValue / 2 AS OurFinalValue
FROM #OurTempTable
Use a subquery. This tends to be more difficult to read than the above. I'm not certain what the advantage is to this - maybe someone in the comments can enlighten me.
SELECT
5 + 5 - 3 AS OurInitialValue
FROM (
SELECT
OurInitialValue / 2 AS OurFinalValue
) OurSubquery
Embed your calculations. opinion warning This is really sloppy, and not a great approach as you end up having to duplicate code, and can easily throw columns out-of-sync if you update the calculation in one location and not the other.
SELECT
5 + 5 - 3 AS OurInitialValue
, (5 + 5 - 3) / 2 AS OurFinalValue
You can't use a column alias in the same select. The column alias do not precedence / sequence; they are all created after the eval of the select result, just before group by and order by.
You must repeat code :
SELECT
pu.ID Id,pu.Name Name,
COUNT(*) LeadCount,
SUM(CASE WHEN Status = 'Working' THEN 1 ELSE 0 END) AS Working,
SUM(CASE WHEN Status = 'Uninterested' THEN 1 ELSE 0 END) AS Uninterested,
SUM(CASE WHEN Status = 'Converted' THEN 1 ELSE 0 END) AS Converted,
SUM(CASE WHEN SnoozedId > 0 THEN 1 ELSE 0 END) AS Snoozed,
SUM(CASE WHEN SnoozedId > 0 THEN 1 ELSE 0 END)+ 100 AS Test
FROM
Prospects p
INNER JOIN
ProspectsUsers pu on p.OwnerId = pu.SalesForceId
WHERE
p.Store = '108'
GROUP BY
pu.Name, pu.Id
ORDER BY
Name
If you don't want to repeat the code, use a subquery
SELECT
ID, Name, LeadCount, Working, Uninterested,Converted, Snoozed, Snoozed +100 AS test
FROM
(SELECT
pu.ID Id,pu.Name Name,
COUNT(*) LeadCount,
SUM(CASE WHEN Status = 'Working' THEN 1 ELSE 0 END) AS Working,
SUM(CASE WHEN Status = 'Uninterested' THEN 1 ELSE 0 END) AS Uninterested,
SUM(CASE WHEN Status = 'Converted' THEN 1 ELSE 0 END) AS Converted,
SUM(CASE WHEN SnoozedId > 0 THEN 1 ELSE 0 END) AS Snoozed
FROM Prospects p
INNER JOIN ProspectsUsers pu on p.OwnerId = pu.SalesForceId
WHERE p.Store = '108'
GROUP BY pu.Name, pu.Id) t
ORDER BY Name
or a view
I am having trouble formulating a query to get the desired output.
This query involves one table and two columns.
First column bld_stat has 4 different values Private, public, Public-Abandoned, Private-Abandoned the other column bld_type, single_flr, multi_flr, trailer, Whs.
I need to get results that look like this:
So far I can get the first two columns but after that I have not been able to logically get a query to work
SELECT bld_stat, COUNT(grade) AS single_flr
FROM (SELECT bld_stat,bld_type
FROM bld_inventory WHERE bld_type = 'single_flr') AS grade
GROUP BY bld_stat,bld_type,grade
The term you are going for is pivoting. I think this should work...no need for the subquery, and I've changed your group by to only bld_stat
SELECT bld_stat,
sum(case when bld_type = 'singl_flr' then 1 else 0 end) AS single_flr,
sum(case when bld_type = 'multi_flr' then 1 else 0 end) AS multi_flr,
sum(case when bld_type = 'trailer' then 1 else 0 end) AS trailer,
sum(case when bld_type = 'whs' then 1 else 0 end) AS WHS
FROM bld_inventory
GROUP BY bld_stat
I have a table with a charge/credit column:
Item | PriceVal | CostVal | CHARGE_CODE
1 5 3 CH
2 8 5 CH
1 -5 -3 CR
3 7 1 CH
4 15 10 CH
1 5 3 CH
I've got the query I need to get the NET price and cost, but I'm also interested in the NET charges. Right now I have:
SELECT Item, SUM(PriceVal), SUM(CostVal)
FROM Table
GROUP BY Item
How do I get another column with the value
COUNT(SUM(CHARGE_CODE=CH)-SUM(CHARGE_CODE=CR))
I'm at a loss.
count() is going to count one for every value thats not null, so I don't think thats exactly what you want. Take the count out and just take the
sum(case when charge_code = CH then costval else 0 end)
- sum(case when charge_code = 'CR' then costval else 0 end)
Since you have the dollar values entered as negatives in the table already, you can use the simple formula:
select
Item,
sum(PriceVal),
sum(CostVal),
sum(PriceVal-CostVal)
from Table
group by Item
I don't believe you should be subtracting the credit items as they're already negative.
If you really do want want the net count of transactions:
select
Item,
sum(PriceVal),
sum(CostVal),
sum(case when charge_code = 'CH' then 1 else 0 end) -
sum(case when charge_code = 'CR' then -1 else 0 end)
from Table
group by Item
or, if there are only two charge codes, substitute:
sum(case when charge_code = 'CH' then 1 else -1 end)
for the last column.
Not 100% sure what you want, but you can count only certain rows like this:
SELECT COUNT(IF(CHARGE_CODE=CH,1,NULL)) ...
And similarly sum certain values from certain rows like this:
SELECT SUM(IF(CHARGE_CODE=CH,PriceVal,0)) ...