I have this piece of Oracle SQL that has been giving me problems on and off. I have got it to work one time today and then the next time I tried to run it I was given an SQL command not properly ended. All I'm trying to do is divide one column by itself under the 2 different restraints.
SELECT start_end_amt,
in_out_amt
FROM MYTABLE.MYTABLE,
(
SELECT sum(start_end_amt)
FROM MYTABLE.MYTABLE
WHERE in_out_amt = 'C'
) / (
SELECT sum(start_end_amt)
FROM MYTABLE.MYTABLE
WHERE in_out_amt = 'D'
) * 100 AS RATIO
ORDER BY RATIO,
start_end_amt,
in_out_amt
However, now that I run it this way I am getting an error on the *100 part. It's an SQL command not properly ended. As far as I was aware this was the proper way to write a select query.
My expected outcome is to have a table that returns a percent ratio for each transaction that occurs. The one time it did work it was not outputting a percent either unfortunately.
I think you just simply need to group by a transaction ID and do conditional aggregation. Something like this:
select transaction_id,
sum(case when in_out_amt = 'C' then start_end_amt else 0 end) /
sum(case when in_out_amt = 'D' then start_end_amt else 0 end) * 100 RATIO
from MYTABLE.MYTABLE
group by transaction_id
Related
I am quite new to SQL and I am currently working on some survey results with PostgreSQL. I need to calculate percentages of each option from 5-point scale for all survey questions. I have a table with respondentid, questionid, question response value. Demographic info needed for filtering datacut is retrieved from another table. Then query is passed to result table. All queries texts for specific datacuts are generated by VBA script.
It works OK in general, however there's one problematic case - when there are no respondents for specific cut and I receive empty table as query result. If respondent count is greater than 0 but lower than calculation threshold (5 respondents) I am getting table full of NULLs which is OK. For 0 respondents I get 0 rows as result and nothing is passed to result table and it causes some displacement in final table. I am able to track such cuts as I am also calculating respondent number for overall datacut and storing it in another table. But is there anything I can do at this point - generate somehow table full of NULLs which could be inserted into result table when needed?
Thanks in advance and sorry for clumsiness in code.
WITH ItemScores AS (
SELECT
rsp.questionid,
CASE WHEN SUM(CASE WHEN rsp.respvalue >= 0 THEN 1 ELSE 0 END) < 5 THEN
NULL
ELSE
ROUND(SUM(CASE WHEN rsp.respvalue = 5 THEN 1 ELSE 0 END)/CAST(SUM(CASE
WHEN rsp.respvalue >= 0 THEN 1 ELSE 0 END) AS DECIMAL),2)
END AS 5spercentage,
... and so on for frequencies of 1s,2s,3s and 4s
SUM(CASE WHEN rsp.respvalue >= 0 THEN 1 ELSE 0 END) AS QuestionTotalAnswers
FROM (
some filtering applied here [...]
) AS rsp
GROUP BY rsp.questionid
ORDER BY rsp.questionid;
INSERT INTO results_items SELECT * from ItemScores;
If you want to ensure that the questionid column won't be empty, then you must call a cte with its plain values and then left join with the table that actually you are using to make the aggregations, calcs etc. So it will generate for sure the first list and then join its values.
The example of its concept would be something like:
with calcs as (
select questionid, sum(respvalue) as sum_per_question
from rsp
group by questionid)
select distinct rsp.questionid, calcs.sum_per_question
from rsp
left join calcs on rsp.questionid = calcs.questionid
i need to get a percentage but can't use the WHERE clause because it is a part of a large SQL query.
I try to do this :
select (count(sector='Rurality'))/(count(sector))*100 as test from study
But the first count get full results instead of filtering.
In other words, this doesn't work :
select COUNT(sector='Rurality') AS test FROM study;
Maybe somebody could have any idea ? The problem is that filters are glued to the SQL query after all of this but can't add a WHERE sector="rurality".
This is what FILTER is for:
select count(*) filter (where sector = 'Rurality') test from study;
For older PostgreSQL, you can use the CASE construct, but don't forget to omit the ELSE clause to not count NULL values:
select count(case sector when 'Rurality' then 1 end) test from study;
Also, bigint / bigint will be bigint, so use casts and/or parenthesis, or just re-structure your formula, like:
select 100.0 * count(*) filter (where sector = 'Rurality') / count(sector) test
from study;
Your approach works with sum():
select sum((sector='Rurality')::int)::dec / count(sector)*100 as test from study
Use a CASE statement inside the COUNT.
SELECT (COUNT(CASE WHEN sector = 'Rurality' THEN 1 END)) / (COUNT(sector)) * 100 AS test
FROM study
A sqlite3 db table contains device perf data with two columns.. device and value.
Content is something like this
deviceA|50
deviceB|75
deviceA|125
deviceB|25
deviceA|99
deviceB|10
deviceA|101
and on and on
For each device
I want to know how many entries are in the table (total)
I want to know how mnay entries are over threshold of 100 (overthreshold)
I want to know how many entries are under threshold of 100 (underthreshold)
I want to know the percent of total entries under threshold (percent)
This is my query so far
select distinct(total.device),
total.count,
overthreshold.count,
round(((total.count*1.0 - overthreshold.count)/total.count),4)*100
from
(select device,count(*) as count from perfdata group by device) as total
inner join (
select device,count(*) as count from perfdata where value>100 group by device
) as overthreshold
group by overthreshold.device;
deviceA only results included here
deviceA|2017|16|99.21
deviceA had 2017 entries in the table, 16 of which are > 100; 99.21% under threshold.
for all device/value combinations, output currently only shows those overthreshold as my query tells it to.
deviceB is never overthreshold and isn't in query output (100% under threshold).
Any advice on where/how would I add in the
select device,count(*) as count from perfdata where value<100 group by device
statement to get underthreshold returned back for inclusion in my calculation?
Thanks for any help.
You want to use conditional aggregation. This is where you use the case statement along with the aggregation functions:
select device, count(*) as TotalCount,
sum(case when value > 100 then 1 else 0 end) as OverThreshhold,
sum(case when value < 100 then 1 else 0 end) as UnderThreshhold,
100.0 * avg(case when value < 100 then 1.0 else 0.0 end) as PercentageUnder
from perfdata
group by device;
I need to calculate the net total of a column-- sounds simple. The problem is that some of the values should be negative, as are marked in a separate column. For example, the table below would yield a result of (4+3-5+2-2 = 2). I've tried doing this with subqueries in the select clause, but it seems unnecessarily complex and difficult to expand when I start adding in analysis for other parts of my table. Any help is much appreciated!
Sign Value
Pos 4
Pos 3
Neg 5
Pos 2
Neg 2
Using a CASE statement should work in most versions of sql:
SELECT SUM( CASE
WHEN t.Sign = 'Pos' THEN t.Value
ELSE t.Value * -1
END
) AS Total
FROM YourTable AS t
Try this:
SELECT SUM(IF(sign = 'Pos', Value, Value * (-1))) as total FROM table
I am adding rows from a single field in a table based on values from another field in the same table using oracle 11g as database and sql developer as user interface.
This works:
SELECT COUNTRY_ID, SUM(
CASE
WHEN ACCOUNT IN 'PTBI' THEN AMOUNT
WHEN ACCOUNT IN 'MLS_ENT' THEN AMOUNT
WHEN ACCOUNT IN 'VAL_ALLOW' THEN AMOUNT
WHEN ACCOUNT IN 'RSC_DEV' THEN AMOUNT * -1
END) AS TI
FROM SAMP_TAX_F4
GROUP BY COUNTRY_ID;
select a= sum(Value) where Sign like 'pos'
select b = sum(Value) where Signe like 'neg'
select total = a-b
this is abit sql-agnostic, since you didnt say which db you are using, but it should be easy to adapat it to any db out there.
I'm building a query with a GROUP BY clause that needs the ability to count records based only on a certain condition (e.g. count only records where a certain column value is equal to 1).
SELECT UID,
COUNT(UID) AS TotalRecords,
SUM(ContractDollars) AS ContractDollars,
(COUNTIF(MyColumn, 1) / COUNT(UID) * 100) -- Get the average of all records that are 1
FROM dbo.AD_CurrentView
GROUP BY UID
HAVING SUM(ContractDollars) >= 500000
The COUNTIF() line obviously fails since there is no native SQL function called COUNTIF, but the idea here is to determine the percentage of all rows that have the value '1' for MyColumn.
Any thoughts on how to properly implement this in a MS SQL 2005 environment?
You could use a SUM (not COUNT!) combined with a CASE statement, like this:
SELECT SUM(CASE WHEN myColumn=1 THEN 1 ELSE 0 END)
FROM AD_CurrentView
Note: in my own test NULLs were not an issue, though this can be environment dependent. You could handle nulls such as:
SELECT SUM(CASE WHEN ISNULL(myColumn,0)=1 THEN 1 ELSE 0 END)
FROM AD_CurrentView
I usually do what Josh recommended, but brainstormed and tested a slightly hokey alternative that I felt like sharing.
You can take advantage of the fact that COUNT(ColumnName) doesn't count NULLs, and use something like this:
SELECT COUNT(NULLIF(0, myColumn))
FROM AD_CurrentView
NULLIF - returns NULL if the two passed in values are the same.
Advantage: Expresses your intent to COUNT rows instead of having the SUM() notation.
Disadvantage: Not as clear how it is working ("magic" is usually bad).
I would use this syntax. It achives the same as Josh and Chris's suggestions, but with the advantage it is ANSI complient and not tied to a particular database vendor.
select count(case when myColumn = 1 then 1 else null end)
from AD_CurrentView
How about
SELECT id, COUNT(IF status=42 THEN 1 ENDIF) AS cnt
FROM table
GROUP BY table
Shorter than CASE :)
Works because COUNT() doesn't count null values, and IF/CASE return null when condition is not met and there is no ELSE.
I think it's better than using SUM().
Adding on to Josh's answer,
SELECT COUNT(CASE WHEN myColumn=1 THEN AD_CurrentView.PrimaryKeyColumn ELSE NULL END)
FROM AD_CurrentView
Worked well for me (in SQL Server 2012) without changing the 'count' to a 'sum' and the same logic is portable to other 'conditional aggregates'. E.g., summing based on a condition:
SELECT SUM(CASE WHEN myColumn=1 THEN AD_CurrentView.NumberColumn ELSE 0 END)
FROM AD_CurrentView
It's 2022 and latest SQL Server still doesn't have COUNTIF (along with regex!). Here's what I use:
-- Count if MyColumn = 42
SELECT SUM(IIF(MyColumn = 42, 1, 0))
FROM MyTable
IIF is a shortcut for CASE WHEN MyColumn = 42 THEN 1 ELSE 0 END.
Not product-specific, but the SQL standard provides
SELECT COUNT() FILTER WHERE <condition-1>,
COUNT() FILTER WHERE <condition-2>, ...
FROM ...
for this purpose. Or something that closely resembles it, I don't know off the top of my hat.
And of course vendors will prefer to stick with their proprietary solutions.
Why not like this?
SELECT count(1)
FROM AD_CurrentView
WHERE myColumn=1
I had to use COUNTIF() in my case as part of my SELECT columns AND to mimic a % of the number of times each item appeared in my results.
So I used this...
SELECT COL1, COL2, ... ETC
(1 / SELECT a.vcount
FROM (SELECT vm2.visit_id, count(*) AS vcount
FROM dbo.visitmanifests AS vm2
WHERE vm2.inactive = 0 AND vm2.visit_id = vm.Visit_ID
GROUP BY vm2.visit_id) AS a)) AS [No of Visits],
COL xyz
FROM etc etc
Of course you will need to format the result according to your display requirements.
SELECT COALESCE(IF(myColumn = 1,COUNT(DISTINCT NumberColumn),NULL),0) column1,
COALESCE(CASE WHEN myColumn = 1 THEN COUNT(DISTINCT NumberColumn) ELSE NULL END,0) AS column2
FROM AD_CurrentView