SQL Server - Get column who have specific value - sql

I have a SQL query which returns :
id | value
1 a
1 a
1 b
2 a
2 a
I want to get only id who have only the value a. So the id 2
How to do this ?

You can use aggregation and having clause to check if all the rows have value 'a' for a given id:
Using Count:
select id
from t
group by id
having count(*) = count(case when value = 'a' then 1 end);
Or using Sum
select id
from t
group by id
having SUM(case when value = 'a' then 0 else 1 end) = 0;

Use the next code:-
Select id
from #test
group by id
having sum (case when value = 'a' then 0 else 1 end) = 0
The clue is passing 0 for 'a' and pass 1 for other, then having sum equals 0

This is slightly slower than #Gurwinder Singh's answer but can be more readable if performance is not your top priority.
CREATE TABLE tmp (id int, [value] char(1))
INSERT INTO tmp values (1,'a'),(1,'a'),(1,'b'),(2,'a'),(2,'a')
SELECT DISTINCT id
FROM tmp a
WHERE [value] = 'a'
AND id NOT IN (
SELECT id FROM tmp
WHERE [value] <> 'a')

Related

Get a particular record based on a condition in SQL

My requirement is to get id for missing status from SQL table. I will get a list of status for each id, say A,B,C,D. In a scenario, I have to check status B exists or not. Table gets updated everyday and each time new Id will be created
Conditions,
If status A exists and other statuses such as C and D does not
exists, then don't need to get id.
If status A and B exists and other statuses such as C or D does not exists, then don't need to get id .
If status A exists and B not exists, other
statuses such as C or D exists, then I should get the id of that
record
If status A and B exists, other
statuses such as C or D exists (all status exists), then I don't need to get the id of that
record
Table1:
Id StatusCode
1 A
1 C
2 A
2 B
2 C
3 A
3 C
3 D
How do I get Id 1 and 3 using SQL query?, Seems simple but as I am new to SQL I could not able to get it in SQL.
select statement in this screenshot works fine when there is only one id, it fails on multiple id. I tried many other way, but no use
Try this
SELECT DISTINCT ID
FROM T1
WHERE Statuscode = 'A' AND ID NOT IN (SELECT ID FROM T1 WHERE Statuscode = 'B' )
AND (ID IN (SELECT ID FROM T1 WHERE Statuscode = 'C' ) OR ID IN (SELECT ID FROM T1 WHERE Statuscode = 'D' ))
FIDDLE DEMO
Also, To correct Gordon Linoff's answer, we need to add one more where criteria there
SELECT Id
FROM T1
GROUP BY Id
HAVING SUM(CASE WHEN Statuscode = 'A' THEN 1 ELSE 0 END) > 0 AND
SUM(CASE WHEN Statuscode = 'B' THEN 1 ELSE 0 END) = 0 AND
SUM(CASE WHEN Statuscode IN ('C', 'D') THEN 1 ELSE 0 END) > 0;
FIDDLE DEMO
This answers the original version of the question.
I think you can use aggregation:
select id
from t
group by id
having sum(case when status = 'A' then 1 else 0 end) > 0 and
sum(case when status in ('C', 'D') then 1 else 0 end) > 0;
SELECT id
FROM t
GROUP BY
Id
HAVING MAX(status) = CHAR(64 + COUNT(*))
--char(64+1) = A, char(64+2) = B etc
The logic behind this is that it will take all count the same types of id. So if you have 3 rows you will need abc. If you have an id with 4 rows you will have ABCD. Generally the max status should always be the same as the number of rows.
This is true of course if you have no duplicate between id and status code.
select distinct id from t where t.statuscode = 'C' or t.statuscode = 'D' group by t.id

How can I change the type of output?

My sample query is:
SELECT
SUM(CASE WHEN tb.[CashStatus] = 0 AND tb.[CashPayMethod] = 0 THEN tb.[CashPayPrice] ELSE 0 END) AS [TotalCashPrice],
SUM(CASE WHEN tb.[CashStatus] = 0 AND tb.[CashPayMethod] = 10 THEN tb.[CashPayPrice] ELSE 0 END) AS [TotalPOSPrice]
FROM
mytable tb
The result is:
TotalCashPrice | TotalPOsPrice
---------------+----------------
41,000,000 | 12,000,000
I want to change it to:
Value | Name
-----------------+--------------------
41,000,000 | TotalCashPrice
12,000,000 | TotalPOSPrice
Thanks everyone.
I would use GROUP BY and move the CASE expression to the column being aggregated:
SELECT (CASE WHEN tb.CashPayMethod = 0 THEN 'TotalCashPrice'
WHEN tb.CashPayMethod = 10 THEN 'TotalPOSPrice'
END) as name,
SUM(tb.CashPayPrice) as value
FROM mytable tb
WHERE tb.CashStatus = 0 AND tb.CashPayMethod IN (0, 10)
GROUP BY tb.[CashPayMethod]
One simple option here is to just take a union:
SELECT SUM(CashPayPrice) AS Value, 'TotalCashPrice' AS Name
FROM mytable
WHERE CashStatus = 0 AND CashPayMethod = 0
UNION ALL
SELECT SUM(CashPayPrice), 'TotalPOSPrice'
FROM mytable
WHERE CashStatus = 0 AND CashPayMethod = 10;
Another option would be to look into using SQL Server's UNPIVOT operator. But that might be overkill if your actual problem isn't much bigger than this.
You can use UNPIVOT to achieve desired output:
declare #tmp table(TotalCashPrice int, TotalPOsPrice int)
insert into #tmp values (41000000, 12000000)
select u.[Value], u.[Name]
from #tmp s
unpivot
(
[Value]
for [Name] in ([TotalCashPrice], [TotalPOsPrice])
) u
Result:
If the original column names (TotalCashPrice, TotalPOsPrice) can change in number you will need dynamic TSQL.

How to check If table contains diferent values?

I have table:
Id Value
1 79868
2 79868
3 79868
4 97889
5 97889
Now, I want to make next select with bool variable that check if table contains difrent values at table column Value. Something like this:
select
v= (select case when exists(...)
then 1
else 0
end)
Table contais Values: 79868, 97889 so v should return 1 in other case 0.
How to write select iniside select case??
You can compare the min and max values:
select (case when (select min(value) from t) = (select max(value) from t)
then 1 else 0
end) as all_same
With an index on (value), this should be quite fast.
The above solution assumes that there are no null values or that NULL values should be ignored.
You might try this:
SELECT CASE COUNT(*)
WHEN 1 THEN 1
ELSE 0
END AS all_equal
FROM (SELECT DISTINCT Value FROM my_table);
If I get your question correct, you want to check if value column contains more than 1 distinct values. You can achieve this using,
select (case when count(value) > 1 then 1 else 0 end) as out
from (select value from table group by value) temp
May this is better:
SELECT CASE COUNT(DISTINCT value) WHEN 1 THEN 1
ELSE 0
END AS all_equal
FROM my_table;
So, you just need one case expression with two Boolean variable
declare #bit1 bit = 1, #bit0 bit = 0
select
(case when min(value) = max(value) then #bit1 else #bit0 end) as v
from table t
where value is not null
This is a the same as another answers
But is has some test data
declare #T table(pk int identity primary key, val int not null);
insert into #T (val) values (79868), (79868), (79868);
select case when count(distinct(val)) = 1 then 0 else 1 end as dd
from #t t;
select case when min(val) = max(val) then 0 else 1 end as dd
from #t t;
insert into #T (val) values (97889), (97889);
select case when count(distinct(val)) = 1 then 0 else 1 end as dd
from #t t;
select case when min(val) = max(val) then 0 else 1 end as dd
from #t t;
I like the min max answer from Gordon best

SQL Server : do not Select all if true

I have these columns
Id Status
----------
1 pass
1 fail
2 pass
3 pass
How do I select all that only have a status of pass but if the Id has at least one fail it will not be selected as well.
If same id can have multiple passes
SELECT id
from table
WHERE status = 'pass'
and id NOT IN (SELECT id FROM table WHERE status = 'fail')
You need to use GROUP BY & HAVING clause
SELECT Id
FROM yourtable
GROUP BY Id
HAVING Sum(case when status ='pass' then 1 else 0 end) = count(status)
HAVING clause can be changed to
HAVING Count(case when status ='pass' then 1 end) = count(status)
I just hate chatty case statement, so
SELECT Id
FROM table1
GROUP BY Id
HAVING COUNT(DISTINCT [Status]) = 1 AND MIN([Status]) = 'pass'
or
SELECT Id
FROM table1
GROUP BY Id
HAVING COUNT(NULLIF([Status], 'fail')) = 1 AND COUNT(NULLIF([Status], 'pass')) = 0
The second query only works when status has two values 'pass' and 'fail'.

Looping in select query

I want to do something like this:
select id,
count(*) as total,
FOR temp IN SELECT DISTINCT somerow FROM mytable ORDER BY somerow LOOP
sum(case when somerow = temp then 1 else 0 end) temp,
END LOOP;
from mytable
group by id
order by id
I created working select:
select id,
count(*) as total,
sum(case when somerow = 'a' then 1 else 0 end) somerow_a,
sum(case when somerow = 'b' then 1 else 0 end) somerow_b,
sum(case when somerow = 'c' then 1 else 0 end) somerow_c,
sum(case when somerow = 'd' then 1 else 0 end) somerow_d,
sum(case when somerow = 'e' then 1 else 0 end) somerow_e,
sum(case when somerow = 'f' then 1 else 0 end) somerow_f,
sum(case when somerow = 'g' then 1 else 0 end) somerow_g,
sum(case when somerow = 'h' then 1 else 0 end) somerow_h,
sum(case when somerow = 'i' then 1 else 0 end) somerow_i,
sum(case when somerow = 'j' then 1 else 0 end) somerow_j,
sum(case when somerow = 'k' then 1 else 0 end) somerow_k
from mytable
group by id
order by id
this works, but it is 'static' - if some new value will be added to 'somerow' I will have to change sql manually to get all the values from somerow column, and that is why I'm wondering if it is possible to do something with for loop.
So what I want to get is this:
id somerow_a somerow_b ....
0 3 2 ....
1 2 10 ....
2 19 3 ....
. ... ...
. ... ...
. ... ...
So what I'd like to do is to count all the rows which has some specific letter in it and group it by id (this id isn't primary key, but it is repeating - for id there are about 80 different values possible).
http://sqlfiddle.com/#!15/18feb/2
Are arrays good for you? (SQL Fiddle)
select
id,
sum(totalcol) as total,
array_agg(somecol) as somecol,
array_agg(totalcol) as totalcol
from (
select id, somecol, count(*) as totalcol
from mytable
group by id, somecol
) s
group by id
;
id | total | somecol | totalcol
----+-------+---------+----------
1 | 6 | {b,a,c} | {2,1,3}
2 | 5 | {d,f} | {2,3}
In 9.2 it is possible to have a set of JSON objects (Fiddle)
select row_to_json(s)
from (
select
id,
sum(totalcol) as total,
array_agg(somecol) as somecol,
array_agg(totalcol) as totalcol
from (
select id, somecol, count(*) as totalcol
from mytable
group by id, somecol
) s
group by id
) s
;
row_to_json
---------------------------------------------------------------
{"id":1,"total":6,"somecol":["b","a","c"],"totalcol":[2,1,3]}
{"id":2,"total":5,"somecol":["d","f"],"totalcol":[2,3]}
In 9.3, with the addition of lateral, a single object (Fiddle)
select to_json(format('{%s}', (string_agg(j, ','))))
from (
select format('%s:%s', to_json(id), to_json(c)) as j
from
(
select
id,
sum(totalcol) as total_sum,
array_agg(somecol) as somecol_array,
array_agg(totalcol) as totalcol_array
from (
select id, somecol, count(*) as totalcol
from mytable
group by id, somecol
) s
group by id
) s
cross join lateral
(
select
total_sum as total,
somecol_array as somecol,
totalcol_array as totalcol
) c
) s
;
to_json
---------------------------------------------------------------------------------------------------------------------------------------
"{1:{\"total\":6,\"somecol\":[\"b\",\"a\",\"c\"],\"totalcol\":[2,1,3]},2:{\"total\":5,\"somecol\":[\"d\",\"f\"],\"totalcol\":[2,3]}}"
In 9.2 it is also possible to have a single object in a more convoluted way using subqueries in instead of lateral
SQL is very rigid about the return type. It demands to know what to return beforehand.
For a completely dynamic number of resulting values, you can only use arrays like #Clodoaldo posted. Effectively a static return type, you do not get individual columns for each value.
If you know the number of columns at call time ("semi-dynamic"), you can create a function taking (and returning) polymorphic parameters. Closely related answer with lots of details:
Dynamic alternative to pivot with CASE and GROUP BY
(You also find a related answer with arrays from #Clodoaldo there.)
Your remaining option is to use two round-trips to the server. The first to determine the the actual query with the actual return type. The second to execute the query based on the first call.
Else, you have to go with a static query. While doing that, I see two nicer options for what you have right now:
1. Simpler expression
select id
, count(*) AS total
, count(somecol = 'a' OR NULL) AS somerow_a
, count(somecol = 'b' OR NULL) AS somerow_b
, ...
from mytable
group by id
order by id;
How does it work?
Compute percents from SUM() in the same SELECT sql query
SQL Fiddle.
2. crosstab()
crosstab() is more complex at first, but written in C, optimized for the task and shorter for long lists. You need the additional module tablefunc installed. Read the basics here if you are not familiar:
PostgreSQL Crosstab Query
SELECT * FROM crosstab(
$$
SELECT id
, count(*) OVER (PARTITION BY id)::int AS total
, somecol
, count(*)::int AS ct -- casting to int, don't think you need bigint?
FROM mytable
GROUP BY 1,3
ORDER BY 1,3
$$
,
$$SELECT unnest('{a,b,c,d}'::text[])$$
) AS f (id int, total int, a int, b int, c int, d int);