I have a query like this one:
SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL
FROM
table
GROUP BY
type
I want to order the results so the rows with the type with the highest percentage of passed is on top.
I though something like:
ORDER BY
"PASSED"/"TOTAL" DESC
But it's not working.
Do you have any idea to achieve this?
Thanks,
You can use expressions in ORDER BY
SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL
FROM
table
GROUP BY
type
ORDER BY
count(case when STATUS = 'Passed' then 1 end)/count(case when STATUS <> 'N/A' then 1 end) desc
But this can produce division by zero exception you have to check if count(case when STATUS <> 'N/A' then 1 end) is not zero.
The other solution is using sub-queries - You enclose your initial query in sub-query and then you can order, limit or filter this sub-query as simple table in SQL
SELECT *
FROM (
SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL
FROM
table
GROUP BY
type
) AS SUB_DATA
ORDER BY PASSED/TOTAL DESC
if you are using PostgreSQL you can use WITH construction (I very like it).
WITH _records as (
SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL
FROM
table
GROUP BY
type
)
SELECT *
FROM _records
ORDER BY PASSED/TOTAL DESC
If Column aliases that are defined in the SELECT are then referenced in the ORDER BY they must be used on their own. Not in an expression.
You can use a derived table.
SELECT *
FROM
(
/* Your Query here*/
) T
ORDER BY PASSED/TOTAL DESC
You may also need to cast PASSED to numeric to avoid integer division depending on your DBMS.
SELECT *, (PASSED / TOTAL) [percent] FROM
( SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL
FROM
table
GROUP BY
type ) T
ORDER BY [percent]
There are two problems in your approach:
As others already pointed out, you cant' use column aliases in
calculation. Instead of ORDER BY PASSED/TOTAL DESC, write ORDER
BY count(case when STATUS = 'Passed' then 1 end) / count(case when
STATUS <> 'N/A' then 1 end)
If you divide PASSED by TOTAL, and PASSED is less than TOTAL, you'll
always get 0 as a result. Just like select 5/10 will return 0
instead of 0.5 - because both values are integers, you'll get integer as a result. select 1.0*5/10 will return 0.5
your code works in sql server, but not in oracle i think. try:
SELECT
type,
count(case when STATUS = 'N/A' then 1 end) as NOTAPPLICABLE,
count(case when STATUS = 'Failed' then 1 end) as FAILED,
count(case when STATUS = 'No Run' then 1 end) as NO_RUN,
count(case when STATUS = 'Not Completed' then 1 end) as NOT_COMPLETE,
count(case when STATUS = 'Blocked' then 1 end) as Blocked,
count(case when STATUS = 'Passed' then 1 end) as PASSED,
count(case when STATUS <> 'N/A' then 1 end) as TOTAL,
count(case when STATUS = 'Passed' then 1 end) / count(case when STATUS <> 'N/A' then 1 end) as sort
FROM
table
GROUP BY
type
ORDER BY 9
sort DESC
Related
I have a case expression inside an aggregate function in a select statement that looks something like this.
select person_id,
sum(case status = 'approved' then hours else 0.0 end) as hours
sum(case status = 'cancelled' then void_hrs else 0.0 end) as void_hrs
sum(case status = 'forwarded' then fwd_hrs else 0.0 end) as fwd_hrs
from table
Now, how do I check if all of the cases returns 0.0? So that I can exclude it on the result set?
I would just add a where clause:
select person_id,
sum(case status = 'approved' then hours else 0.0 end) as hours
sum(case status = 'cancelled' then void_hrs else 0.0 end) as void_hrs
sum(case status = 'forwarded' then fwd_hrs else 0.0 end) as fwd_hrs
from table
where status in ('approved', 'cancelled', 'forwarded')
group by person_id;
As a bonus, this might improve performance if you have a lot of rows with other statuses.
Alternatively, you can add a having clause to your query:
having sum(case when status in ('approved', 'cancelled', 'forwarded') then 1 else 0 end) > 0
The simplest approach is probably to turn your query to a subquery, then filter in the outer query:
select *
from (
select person_id,
sum(case status = 'approved' then hours else 0.0 end) as hours
sum(case status = 'cancelled' then void_hrs else 0.0 end) as void_hrs
sum(case status = 'forwarded' then fwd_hrs else 0.0 end) as fwd_hrs
from mytable
group by person_id
) t
where hours + void_hrs + fwd_hrs > 0
Note that your original query was missing a group by clause, I added that.
The alternative would be to use a lengthy having clause:
select person_id,
sum(case status = 'approved' then hours else 0.0 end) as hours
sum(case status = 'cancelled' then void_hrs else 0.0 end) as void_hrs
sum(case status = 'forwarded' then fwd_hrs else 0.0 end) as fwd_hrs
from mytable
group by person_id
having sum(
case status
when 'approved' then hours
when 'cancelled' then void_hrs
when 'forwarded' then fwd_hrs
else 0.0
end
) > 0
Side note: this is called a case expression, not a case statement. The latter is a flow control structure, while the former is conditional logic.
For some context, I am making an image browser which is connected to an SQLite database. Within the browser, similar images are grouped into an event (EventId) and each image (MicrosoftId) is labelled with a few tags (name).
I have these two queries on the same table (TagsMSCV) but pulling out different information. Ultimately I need to combine the information in my browser so if it was possible to combine these two queries (maybe with a JOIN?) it would be a lot faster and convenient for me. Both results of these queries share the EventId column.
1st Query ():
SELECT EventId as 'event', count(*) as 'size',
SUM(case when tag_count = 1 then 1 else 0 end) as '1',
SUM(case when tag_count = 2 then 1 else 0 end) as '2',
SUM(case when tag_count = 3 then 1 else 0 end) as '3'
FROM (SELECT EventId, MicrosoftId,
SUM(case when name in ('indoor', 'cluttered', 'screen') then 1 else 0 end) as tag_count
FROM TagsMSCV GROUP BY EventId, MicrosoftId) TagsMSCV
GROUP BY EventId ORDER BY 3 DESC, 2 DESC, 1 DESC
2nd Query
SELECT EventId,
SUM(CASE WHEN name = 'indoor' THEN 1 ELSE 0 END) as indoor,
SUM(CASE WHEN name = 'cluttered' THEN 1 ELSE 0 END) as cluttered,
SUM(CASE WHEN name = 'screen' THEN 1 ELSE 0 END) as screen
FROM TagsMSCV WHERE name IN ('indoor', 'cluttered', 'screen')
GROUP BY EventId
As you can see in both queries I am feeding in the tags 'necktie' 'man', 'male' and getting different information back.
SQL Fiddle Here: https://www.db-fiddle.com/f/f8WNimjmZAj1XXeCj4PHB8/3
You should do this all in one query:
SELECT EventId as event, count(*) as size,
SUM(case when (indoor + cluttered + screen) = 1 then 1 else 0 end) as tc_1,
SUM(case when (indoor + cluttered + screen) = 2 then 1 else 0 end) as tc_2,
SUM(case when (indoor + cluttered + screen) = 3 then 1 else 0 end) as tc_3,
SUM(indoor) as indoor,
SUM(cluttered) as cluttered,
SUM(screen) as screen
FROM (SELECT EventId, MicrosoftId,
SUM(CASE WHEN name = 'indoor' THEN 1 ELSE 0 END) as indoor,
SUM(CASE WHEN name = 'cluttered' THEN 1 ELSE 0 END) as cluttered,
SUM(CASE WHEN name = 'screen' THEN 1 ELSE 0 END) as screen
FROM TagsMSCV
GROUP BY EventId, MicrosoftId
) TagsMSCV
GROUP BY EventId
ORDER BY 3 DESC, 2 DESC, 1 DESC;
You need two aggregations to get the information about the tag counts. There is no need to add more aggregations and joins to the query.
You could use an Inner join subquery
SELECT TagsMSCV.EventId as 'event', count(*) as 'size',
SUM(case when tag_count = 1 then 1 else 0 end) as '1',
SUM(case when tag_count = 2 then 1 else 0 end) as '2',
SUM(case when tag_count = 3 then 1 else 0 end) as '3',
t.necktie,
t.man,
t.male
FROM (
SELECT EventId, MicrosoftId,
SUM(case when name in ('necktie' 'man', 'male') then 1 else 0 end) as tag_count
FROM TagsMSCV GROUP BY EventId, MicrosoftId
) TagsMSCV
INNER JOIN (
SELECT EventId,
SUM(CASE WHEN name = 'necktie' THEN 1 ELSE 0 END) as necktie,
SUM(CASE WHEN name = 'man' THEN 1 ELSE 0 END) as man,
SUM(CASE WHEN name = 'male' THEN 1 ELSE 0 END) as male
FROM TagsMSCV WHERE name IN ('necktie' 'man', 'male')
GROUP BY EventId
) t on t.EventId = TagsMSCV.EventId
GROUP BY TagsMSCV.EventId
ORDER BY 3 DESC, 2 DESC, 1 DESC
Hi I have a table which has an ID and status.One ID can have multiple status but I have to pick status based on the conditions.
If ID 1 has Approved, Later,Modified I should Pick Approved and if the ID has only approved then Pick only Approved.But the case statement I got is not doing per ID.It is changing the overall data based on status.Please advise
select ID,
CASE
WHEN status = 'Approved'
AND status IN(
'Modified',
'Later'
) THEN 'Partial Modified'
WHEN status = 'Approved' THEN 'Approved'
when status IN('Modified','Edited') THEN 'Modified'
else status
END status group by ID,Status
This can be done with an ordering condition in row_number.
select top 1 with ties *
from tbl
order by row_number() over(partition by id order by case when status='Approved' then 1
when status='Modified' then 2
else 3 end)
I think you want an aggregation, so something like this:
(CASE WHEN SUM(CASE WHEN status = 'Approved' THEN 1 ELSE 0 END) > 0
THEN 'Approved'
WHEN SUM(CASE WHEN status = 'Modified' THEN 1 ELSE 0 END) > 0
THEN 'Modified'
ELSE MAX(status)
END)
Of course, you can also do this using window functions:
(CASE WHEN SUM(CASE WHEN status = 'Approved' THEN 1 ELSE 0 END) OVER (PARTITION BY id) > 0
THEN 'Approved'
WHEN SUM(CASE WHEN status = 'Modified' THEN 1 ELSE 0 END) OVER (PARTITION BY id) > 0
THEN 'Modified'
ELSE MAX(status) OVER (PARTITION BY id)
END)
I have query returning details of customers that are subscribed to channel xyz or all other channels.
To generate this results i am using the following query:
select customerID
,sum(case when channel='xyz' then 1 else 0 end) as 'xyz Count'
,sum(case when channel<>'xyz' then bundle_qty else 0 end) as 'Other'
From temptable
So my Question is, how do i Exclude customers that are subscribed to 2 channels, where one is xyz and one is another channel.
select customerID
,sum(case when channel='xyz' then 1 else 0 end) as 'xyz Count'
,sum(case when channel<>'xyz' then bundle_qty else 0 end) as 'Other'
From temptable
group by customerID
having sum(case when channel= 'xyz' then 1 else 0 end) > 0
and sum(case when channel<>'xyz' then 1 else 0 end) > 0
First, your query is not correct. It needs a group by. Second, you can do what you want using having:
select customerID,
sum(case when channel = 'xyz' then 1 else 0 end) as xyz_Count,
sum(case when channel<>'xyz' then bundle_qty else 0 end) as Other
From temptable
group by customerID
having count(*) = 2 and
sum(case when channel = 'xyz' then 1 else 0 end) = 1;
If customers can subscribe to the same channel multiple times, and you still want only "xyz" and another channel, then:
having count(distinct channel) = 2 and
(min(channel) = 'xyz' or max(channel) = 'xyz')
I have a full outer join query with case when and sub query in oracle. What I am trying to accomplish is aggregating current year data and previous year data from the same table in order to compare them. However my FULL OUTER JOIN is acting as an inner join not returning the null values from both the current year and the previous year.
Here is my code:
SELECT
SQ1.CHANNEL,
SQ1.SHORT,
SQ1.NAME,
SQ1.RDC,
SQ1.CY_APPROVED_COUNT,
SQ2.PY_APPROVED_COUNT,
SQ1.CY_APPROVED_VOLUME,
SQ2.PY_APPROVED_VOLUME,
SQ1.CY_DECLINED_COUNT,
SQ2.PY_DECLINED_COUNT,
SQ1.CY_DECLINED_VOLUME,
SQ2.PY_DECLINED_VOLUME,
SQ1.CY_RETURNED_COUNT,
SQ2.PY_RETURNED_COUNT,
SQ1.CY_RETURNED_VOLUME,
SQ2.PY_RETURNED_VOLUME
FROM ( SELECT
CHANNEL,
SHORT,
NAME,
RDC,
SUM (CASE WHEN STATUS = 'Approved' THEN APP_COUNTS ELSE 0 END) AS CY_APPROVED_COUNT,
SUM (CASE WHEN STATUS = 'Approved' THEN PROJ_VOL ELSE 0 END) AS CY_APPROVED_VOLUME,
SUM (CASE WHEN STATUS = 'Declined' THEN APP_COUNTS ELSE 0 END) AS CY_DECLINED_COUNT,
SUM (CASE WHEN STATUS = 'Declined' THEN PROJ_VOL ELSE 0 END) AS CY_DECLINED_VOLUME,
SUM (CASE WHEN STATUS = 'Returned' THEN APP_COUNTS ELSE 0 END) AS CY_RETURNED_COUNT,
SUM (CASE WHEN STATUS = 'Returned' THEN PROJ_VOL ELSE 0 END) AS CY_RETURNED_VOLUME
FROM WFRT_MSP_SP_MTD
WHERE PERIOD >= TO_DATE('2016/02/01', 'yyyy/mm/dd')
AND PERIOD <= TO_DATE('2016/02/13','yyyy/mm/dd')
AND CHANNEL = 'MSP'
AND RDC = 'BASE'
GROUP BY
CHANNEL,
SHORT,
NAME,
RDC
) SQ1
-- NOT CORRECTLY SHOWING NULL VALUES
FULL OUTER JOIN
( SELECT
CHANNEL,
SHORT,
NAME,
RDC,
SUM (CASE WHEN STATUS = 'Approved' THEN APP_COUNTS ELSE 0 END) AS PY_APPROVED_COUNT,
SUM (CASE WHEN STATUS = 'Approved' THEN PROJ_VOL ELSE 0 END) AS PY_APPROVED_VOLUME,
SUM (CASE WHEN STATUS = 'Declined' THEN APP_COUNTS ELSE 0 END) AS PY_DECLINED_COUNT,
SUM (CASE WHEN STATUS = 'Declined' THEN PROJ_VOL ELSE 0 END) AS PY_DECLINED_VOLUME,
SUM (CASE WHEN STATUS = 'Returned' THEN APP_COUNTS ELSE 0 END) AS PY_RETURNED_COUNT,
SUM (CASE WHEN STATUS = 'Returned' THEN PROJ_VOL ELSE 0 END) AS PY_RETURNED_VOLUME
FROM WFRT_MSP_SP_MTD
WHERE PERIOD >= TO_DATE('2015/02/01', 'yyyy/mm/dd')
AND PERIOD <= TO_DATE('2015/02/13','yyyy/mm/dd')
AND CHANNEL = 'MSP'
AND RDC = 'BASE'
GROUP BY
CHANNEL,
SHORT,
NAME,
RDC
) SQ2
ON sq1.short = sq2.short
;
Please help if you can.
Just use conditional aggregation:
SELECT CHANNEL, SHORT, NAME, RDC,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Approved' THEN APP_COUNTS ELSE 0 END) AS CY_APPROVED_COUNT,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Approved' THEN PROJ_VOL ELSE 0 END) AS cY_APPROVED_VOLUME,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Declined' THEN APP_COUNTS ELSE 0 END) AS CY_DECLINED_COUNT,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Declined' THEN PROJ_VOL ELSE 0 END) AS CY_DECLINED_VOLUME,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Returned' THEN APP_COUNTS ELSE 0 END) AS CY_RETURNED_COUNT,
SUM(CASE WHEN this_year = 1 AND STATUS = 'Returned' THEN PROJ_VOL ELSE 0 END) AS CY_RETURNED_VOLUME,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Approved' THEN APP_COUNTS ELSE 0 END) AS PY_APPROVED_COUNT,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Approved' THEN PROJ_VOL ELSE 0 END) AS PY_APPROVED_VOLUME,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Declined' THEN APP_COUNTS ELSE 0 END) AS PY_DECLINED_COUNT,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Declined' THEN PROJ_VOL ELSE 0 END) AS PY_DECLINED_VOLUME,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Returned' THEN APP_COUNTS ELSE 0 END) AS PY_RETURNED_COUNT,
SUM(CASE WHEN prev_year = 1 AND STATUS = 'Returned' THEN PROJ_VOL ELSE 0 END) AS PY_RETURNED_VOLUME
FROM (SELECT msm.*,
(CASE WHEN PERIOD >= DATE '2015-02-01' AND
PERIOD <= '2015-02-13'
THEN 1 ELSE 0
END) as prev_year,
(CASE WHEN PERIOD >= DATE '2016-02-01' AND
PERIOD <= '2016-02-13'
THEN 1 ELSE 0
END) as this_year
FROM WFRT_MSP_SP_MTD msm
) msm
WHERE CHANNEL = 'MSP' AND RDC = 'BASE'
GROUP BY CHANNEL, SHORT, NAME, RDC;