Update table after counting matches from another table - postgresql

I am confused how to write this query
I have 2 tables where the data in table1 needs to be updated based on the results from table2
For instance, if t1.a is available in either t2.a, t2.b, t2.c, t2.d, t2.e then the result should be 1, but based on the below formula I'm getting sum of the available matches from t2
UPDATE public.table1 AS t1 SET result = (select sum(
CASE WHEN t1.a IN (t2.a, t2.b, t2.c, t2.d, t2.e) THEN 1 ELSE 0 END +
CASE WHEN t1.b IN (t2.a, t2.b, t2.c, t2.d, t2.e) THEN 1 ELSE 0 END +
CASE WHEN t1.c IN (t2.a, t2.b, t2.c, t2.d, t2.e) THEN 1 ELSE 0 END +
CASE WHEN t1.d IN (t2.a, t2.b, t2.c, t2.d, t2.e) THEN 1 ELSE 0 END +
CASE WHEN t1.e IN (t2.a, t2.b, t2.c, t2.d, t2.e) THEN 1 ELSE 0 END )
FROM public.table2 AS t2 )
Basically my requirement is if the result of t1.a>0 then 1 else 0 + if t1.b>0 then 1 else 0 and so on..
I would prefer to use the query as following where i have added >0 but isn't working;
UPDATE public.table1 AS t1 SET result = (select sum(
CASE WHEN t1.a IN (t2.a, t2.b, t2.c, t2.d, t2.e)>0 THEN 1 ELSE 0 END +
CASE WHEN t1.b IN (t2.a, t2.b, t2.c, t2.d, t2.e)>0 THEN 1 ELSE 0 END +
CASE WHEN t1.c IN (t2.a, t2.b, t2.c, t2.d, t2.e)>0 THEN 1 ELSE 0 END +
CASE WHEN t1.d IN (t2.a, t2.b, t2.c, t2.d, t2.e)>0 THEN 1 ELSE 0 END +
CASE WHEN t1.e IN (t2.a, t2.b, t2.c, t2.d, t2.e)>0 THEN 1 ELSE 0 END )
FROM public.table2 AS t2 )

Based on your problem definition:
create table table1 (id integer, a integer, result integer);
create table table2 (id integer, a integer, b integer, c integer, d integer, e integer);
insert into table1 values (1, 3, 0);
insert into table2 values (1, 9,2,5,4,3);
insert into table1 values (1, 8, 0);
select case when coalesce(t1.a in(t2.a, t2.b, t2.c, t2.d, t2.e), 'f') then 1 else 0 end from table1 as t1, table2 t2;
case
------
1
0
update table1 as t1 set result = (select case when coalesce(t1.a in(t2.a, t2.b, t2.c, t2.d, t2.e), 'f') then 1 else 0 end from table2 t2);
select * from table1;
id | a | result
----+---+--------
1 | 3 | 1
1 | 8 | 0

Related

Multiple case in update postgres

I need to update 2 columns in table with same conditions. I know, that each of them would take a lot of time. How can I concatenate 2 updates into 1, which can be faster?
-- first update
update t1
set col1 =
case when cc1 is not NULL and cc1 <> 0 then 'A'
when cc2 is not NULL and cc2 <> 0 then 'B'
when cc3 is not NULL and cc3 <> 0 then 'C'
else null
end;
-- with same cond
update t1
set col2 =
case when cc1 is not NULL and cc1 <> 0 then 'qwe rty'
when cc2 is not NULL and cc2 <> 0 then 'qzaz wsx'
when cc3 is not NULL and cc3 <> 0 then 'zxcv asdf'
else 'pl ok'
end;
-- my effort to concatenate, dont work
update t1
set (col1, col2) =
(select c1, c2 from
(select case when t2.cc1 is not NULL and t2.cc1 <> 0 then 'A' as c1, 'qwe rty' as c2
when t2.cc2 is not NULL and t2.cc2 <> 0 then ('B', 'qaz wsx')
when t2.cc3 is not NULL and t2.cc3 <> 0 then ('C', ' zxcv asdf')
else (null, 'pl ok')
end
from t1 as t2 where t1.key_column1 = t2.key_column1 and t1.key_column2 = t2.key_column2 and t1.key_column3 = t2.key_column3) f)
;
This is the way I would do it.
WITH cte AS (SELECT * FROM
(VALUES(1, 'A', 'qwe rty'),(2, 'B', 'qaz wsx'),(3, 'C', 'zxcv asdf'),(4, NULL, 'pl ok')) v (id,c1,c2))
UPDATE so_demo
SET col1 = cte.c1, col2 = cte.c2
FROM cte WHERE cte.id = CASE WHEN COALESCE(cc1, 0) <> 0 THEN 1
WHEN COALESCE(cc2, 0) <> 0 THEN 2
WHEN COALESCE(cc3, 0) <> 0 THEN 3
ELSE 4 END;
By way of explanation, I have put the possible values into a cte assigning them an id in addition to the values. I can then put the case statement in the where clause generating the necessary id. Note the use of COALESCE to make the WHENs simpler to read.
One way is to use arrays.
UPDATE t1
SET (col1,
col2) = (SELECT x[1],
x[2]
FROM (SELECT CASE
WHEN cc1 IS NOT NULL
AND cc1 <> 0 THEN
ARRAY['A',
'qwe rty']
WHEN cc2 IS NOT NULL
AND cc2 <> 0 THEN
ARRAY['B',
'qzaz wsx']
...
ELSE
ARRAY[NULL,
'pl ok']
END) AS x
(x));
But in terms of runtime optimization the gain compared to just UPDATE ... SET col1 = CASE ..., col2 = CASE ... should be neglectable, if any.

SELECT Value even if NULL on LEFT JOIN

I am trying to pull data out and chuck it into a Stimulsoft report. The problem I am having is that I need it to output to two columns. I also need every "manager" record to show even if the count assigned to said record is NULL.
This is what i have at the moment:
DECLARE #ManagerCount INT = (( SELECT Count(*) FROM AM WHERE dbo.AM.AMCurrent = 1 AND dbo.AM.OmitInReport = 0 ) + 1) / 2
DECLARE #tmp_AM1 TABLE (AMID INT, AMName NVARCHAR(100), ID INT)
INSERT INTO #tmp_AM1 SELECT AMID, AMName, row_number() over (order by AMID ) FROM AM
WHERE dbo.AM.AMCurrent = 1 AND dbo.AM.OmitInReport = 0
SELECT * FROM (
SELECT ta.id AS id1, ta.AMName AS ManagerName1, COUNT(*) AS ManagerCount1 FROM #tmp_AM1 tA INNER JOIN Job J ON tA.AMID = j.AMID
WHERE ta.ID BETWEEN 1 AND #ManagerCount AND j.jobStatusID != 5
GROUP BY ta.ID, ta.AMName
) a
LEFT JOIN
(
SELECT ta.id AS id2,ta.AMName AS ManagerName2, COUNT(*) AS ManagerCount2 FROM #tmp_AM1 tA INNER JOIN Job J ON tA.AMID = j.AMID
WHERE ta.ID > #ManagerCount AND j.jobStatusID != 5
GROUP BY ta.AMName, ta.ID
) b ON a.id1 + #ManagerCount = b.id2
Which ends up returning something like:
There are 18 managers so 9 per column, but this code doesn't show them all since anything that doesn't have a count in the first left join, won't show, and therefore the same row in column 2 doesn't show.
Results of SELECT * FROM #tmp_AM1:
DECLARE #tmp_AM1 TABLE (AMID INT, AMName NVARCHAR(100), ID INT)
INSERT INTO #tmp_AM1 SELECT AMID, AMName, row_number() over (order by AMID ) FROM AM
WHERE dbo.AM.AMCurrent = 1 AND dbo.AM.OmitInReport = 0
SELECT * FROM (
SELECT ta.id AS id1, ta.AMName AS ManagerName1, COUNT(*) AS ManagerCount1 FROM #tmp_AM1 tA INNER JOIN Job J ON tA.AMID = j.AMID
WHERE ta.ID BETWEEN 1 AND #ManagerCount AND j.jobStatusID != 5
GROUP BY ta.ID, ta.AMName
) a
LEFT OUTER JOIN
(
SELECT ta.id AS id2,ta.AMName AS ManagerName2, COUNT(*) AS ManagerCount2 FROM #tmp_AM1 tA INNER JOIN Job J ON tA.AMID = j.AMID
WHERE ta.ID > #ManagerCount AND j.jobStatusID != 5
GROUP BY ta.AMName, ta.ID
) b ON a.id1 + #ManagerCount = b.id2 where ManagerName2 IS Null and ManagerCount2 IS NULL
just you want to use LEFT OUTER JOIN for select row even there is have any null values.,
Since the two subqueries are pretty much identical, except the where-statement, I would consiter rewriting it into one single query. I'm not sure why you need the same columns outputed into different columns in the result, but something like this might work:
WITH cte AS (
SELECT
ta.id AS id
,ta.AMName AS ManagerName
,COUNT(*) AS ManagerCount
,CASE WHEN ta.ID BETWEEN 1 AND #ManagerCount THEN 0 ELSE 1 END AS something
FROM
#tmp_AM1 tA
INNER JOIN Job J ON tA.AMID = j.AMID
WHERE
j.jobStatusID != 5
GROUP BY
ta.ID
,ta.AMName
,CASE WHEN ta.ID BETWEEN 1 AND #ManagerCount THEN 0 ELSE 1 END
)
SELECT
CASE WHEN something = 0 THEN cte.id ELSE null END AS id1
,CASE WHEN something = 0 THEN cte.ManagerName ELSE null END AS ManagerName1
,CASE WHEN something = 0 THEN cte.ManagerCount ELSE null END AS ManagerCount1
,CASE WHEN something = 1 THEN cte.id ELSE null END AS id2
,CASE WHEN something = 1 THEN cte.ManagerName ELSE null END AS ManagerName2
,CASE WHEN something = 1 THEN cte.ManagerCount ELSE null END AS ManagerCount2
FROM
cte
Probably not the best approach but i got the correct output using:
DECLARE #ManagerCount INT = (( SELECT Count(*) FROM AM WHERE dbo.AM.AMCurrent = 1 AND dbo.AM.OmitInReport = 0 ) + 1) / 2
DECLARE #tmp_AM1 TABLE (AMID INT, AMName NVARCHAR(100), ID INT)
INSERT INTO #tmp_AM1 SELECT AMID, AMName, row_number() over (order by AMID ) FROM AM
WHERE dbo.AM.AMCurrent = 1 AND dbo.AM.OmitInReport = 0
ORDER By AMName
SELECT ManagerName1, ManagerName2, ManagerCount1, ManagerCount2 FROM (
SELECT AMID, ta.id AS id1, ta.AMName AS ManagerName1 FROM #tmp_AM1 tA
WHERE (ta.ID BETWEEN 1 AND #ManagerCount)
) a
LEFT JOIN
(
SELECT AMID, ISNULL(COUNT(*), 0) AS ManagerCount1 FROM Job j
INNER JOIN tblJobOutcome jO ON j.JobOutcomeID = jo.JobOutcomeID AND jO.JobOutcomeID != 5
GROUP BY AMID
) a1 ON a.AMID = a1.AMID
LEFT JOIN
(
SELECT AMID, ta.id AS id2, ta.AMName AS ManagerName2 FROM #tmp_AM1 tA
WHERE (ta.ID > #ManagerCount)
) b ON a.id1 + #ManagerCount = b.id2
LEFT JOIN
(
SELECT AMID, ISNULL(COUNT(*), 0) AS ManagerCount2 FROM Job j
INNER JOIN tblJobOutcome jO ON j.JobOutcomeID = jo.JobOutcomeID AND jO.JobOutcomeID != 5
GROUP BY AMID
) b1 ON b.AMID = b1.AMID
Gives me the correct output in two columns.
gives me this:

PostgreSQL Query with dynamic columns and counts from join

I'm probably overthinking this, because I'm not really sure where to start... But here goes:
I have the following
Tables
students
assessments
students_assessments
Expected output
First query for "Attempts"
student_id | Assessment 1 | Assessment 2 | Assessment 3 | Assessment 4
1 3 1 2 0
2 1 0 0 0
3 2 1 1 0
4 5 3 3 0
5 1 5 0 0
6 2 1 2 0
Second query for "passed"
student_id | Assessment 1 | Assessment 2 | Assessment 3 | Assessment 4
1 t t f f
2 t t f f
3 t t f f
4 t t t f
5 t t f f
6 t t t f
The part that is tripping me up is not doing a join for EVERY assessment, and not even defining the columns manually but rather "generating" each column for assessments that exist.
I feel like it's simple, and I am just too overworked to figure it out right now :) thank you in advance for your help, and here's a SQL Fiddle of data as an example
Simple query for "Attempts",
select student_id,sum(case when assessment_id=1 then 1 else 0 end) as "Assessment 1",
sum(case when assessment_id=2 then 1 else 0 end) as "Assessment 2",
sum(case when assessment_id=3 then 1 else 0 end) as "Assessment 3",
sum(case when assessment_id=4 then 1 else 0 end) as "Assessment 4",
sum(case when assessment_id=5 then 1 else 0 end) as "Assessment 5",
sum(case when assessment_id=6 then 1 else 0 end) as "Assessment 6"
from assessments_students
group by student_id
order by student_id
In crosstab() function also, need to define columns name explicitly like "Assessment 1","Assessment 2" and so on.
Or write custom function for creating dynamic query, and execute using EXECUTE statement.
DROP FUNCTION get_Attempts() ;
CREATE OR REPLACE FUNCTION get_Attempts() RETURNS text AS
$BODY$
DECLARE
r1 record;
str_query text := '';
BEGIN
str_query :='select student_id,';
FOR r1 IN SELECT "_id" , "name" FROM Assessments
LOOP
str_query:= str_query ||
'sum(case when assessment_id=' || r1."_id" || ' then 1 else 0 end) as "' || r1.name ||'",' ;
END LOOP;
str_query:=trim( trailing ',' from str_query); -- remove last semicolon
str_query:= str_query || ' from assessments_students group by student_id order by student_id';
return str_query;
END
$BODY$
LANGUAGE 'plpgsql' ;
SELECT * FROM get_Attempts();
Second query for "passed"
select student_id,
max(case when assessment_id=1 and passed='t' then 't' else 'f' end) as "Assessment 1",
max(case when assessment_id=2 and passed='t' then 't' else 'f' end) as "Assessment 2",
max(case when assessment_id=3 and passed='t' then 't' else 'f' end) as "Assessment 3",
max(case when assessment_id=4 and passed='t' then 't' else 'f' end) as "Assessment 4",
max(case when assessment_id=5 and passed='t' then 't' else 'f' end) as "Assessment 5",
max(case when assessment_id=6 and passed='t' then 't' else 'f' end) as "Assessment 6"
from assessments_students
group by student_id
order by student_id
and it's function look likes,
DROP FUNCTION get_passed() ;
CREATE OR REPLACE FUNCTION get_passed() RETURNS text AS
$BODY$
DECLARE
r1 record;
str_query text := '';
BEGIN
str_query :='select student_id,';
FOR r1 IN SELECT "_id" , "name" FROM Assessments
LOOP
str_query:= str_query ||
'max(case when assessment_id=' || r1."_id" || ' and passed=''t'' then ''t'' else ''f'' end) as "' || r1.name ||'",' ;
END LOOP;
str_query:=trim( trailing ',' from str_query); -- remove last semicolon
str_query:= str_query || ' from assessments_students group by student_id order by student_id';
return str_query;
END
$BODY$
LANGUAGE 'plpgsql' ;
SELECT * FROM get_passed();
SELECT * FROM crosstab(
'Select studentid, assessmentname,count (studentassessmentid) from ....[do ur joins here] group by studentid,assessmentname order by 1,2' AS ct (studentid, assesment1, assessment2,assesent3,assessment4);
I realized it doesn't work anymore. I'm using PostgreSQL 12.
So here you cannot return non-predefined table type (I mean variable columns) either select from varying char.
An example with using anonymous code block, crosstab and temp tables.
Cursors are redundand, I was solving a task that meant of using them.
CREATE EXTENSION IF NOT EXISTS tablefunc;
DO
$$
DECLARE
movie_probe CURSOR FOR
SELECT m.name movie_name, count(c.id) cinema_count
FROM movies m
JOIN sessions s ON m.id = s.movie_id
JOIN cinema_halls ch ON s.cinema_hall_id = ch.id
JOIN cinemas c ON ch.cinema_id = c.id
GROUP BY m.name
HAVING count(c.name) > 1
ORDER BY count(c.name) DESC;
movie_rec RECORD;
movie_columns TEXT DEFAULT '';
cinemas_probe CURSOR (cond_movie_name TEXT) FOR
SELECT m.name movie_name, c.name cinema_name
FROM movies m
JOIN sessions s ON m.id = s.movie_id
JOIN cinema_halls ch ON s.cinema_hall_id = ch.id
JOIN cinemas c ON ch.cinema_id = c.id
WHERE cond_movie_name = m.name
ORDER BY c.name;
cinema_rec RECORD;
cinema_row_counter INT DEFAULT 0;
BEGIN
DROP TABLE IF EXISTS cinema_multiples_aev;
CREATE TEMP TABLE cinema_multiples_aev (
row_id INT,
movie_name TEXT,
cinema_name TEXT
);
OPEN movie_probe;
LOOP
FETCH movie_probe INTO movie_rec;
EXIT WHEN NOT FOUND;
OPEN cinemas_probe(movie_rec.movie_name);
LOOP
FETCH cinemas_probe INTO cinema_rec;
EXIT WHEN NOT FOUND;
cinema_row_counter := cinema_row_counter + 1;
INSERT INTO cinema_multiples_aev (row_id, movie_name, cinema_name)
VALUES (cinema_row_counter, cinema_rec.movie_name, cinema_rec.cinema_name);
END LOOP;
CLOSE cinemas_probe;
cinema_row_counter := 0;
movie_columns := movie_columns || ', "' || movie_rec.movie_name || '" TEXT';
END LOOP;
CLOSE movie_probe;
movie_columns := substring(movie_columns FROM 2);
DROP TABLE IF EXISTS movie_multiples;
EXECUTE format('CREATE TEMP TABLE movie_multiples(row_id INT, %s)', movie_columns);
EXECUTE format(E'
INSERT INTO movie_multiples
SELECT *
FROM crosstab(\'select row_id, movie_name, cinema_name
from cinema_multiples_aev
order by 1,2\')
AS cinema_multiples_aev(row_id INT, %s);
', movie_columns, movie_columns);
ALTER TABLE movie_multiples DROP COLUMN row_id;
END
$$ LANGUAGE plpgsql;
SELECT *
FROM movie_multiples;
DROP TABLE IF EXISTS movie_multiples;
DROP TABLE IF EXISTS cinema_multiples_aev;
If it's confusing for the lack of strusture, everything could be found here github

db2 - Update statement using subselect with case

I want to do an update statement according to a result of a subquery
For example :
Update TABLE1
set A= (Select Count(*) from TABLE2 )
if the value of count is 0 then Update the value of A to be 0 Else set A = 1;
So could you please advice me how can I do it?
I tried the following but I got a syntax error :
SELECT count(*) as TC
CASE
WHEN TC > 0
THEN '1'
ELSE '0'
END AS dum
FROM Event E where E.Type= 'CANCELLING';
CASE is perfectly suitable:
UPDATE TABLE1
SET A =
CASE
WHEN (SELECT count(*) FROM TABLE2) > 0 THEN 1
ELSE 0
END
declare #count int
set #count=Select Count(*) from TABLE2
if #count=0
BEGIN
Update TABLE1
set A=0
end
else
Update TABLE1
set A=1

How to design T-SQL query to calculate sum in one pass?

I am trying to develop a T-SQL query which will do the following:
ROUND(100 * A / B, 1)
Simple in concept, but it's tricky because of possible B=0 denominator and also because of A and B variables. What I expect is a percent value like 93.2 (given in this format without %). Or even 932 would be acceptable since I could convert it later.
But instead, I'm currently getting 151, which is the number of records.
A = CASE WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN 1 ELSE 0 END
B = CASE WHEN [Date_Completed] IS NOT NULL THEN 1 ELSE 0 END
My current logic only divides A/B if B is not equal to zero. Can you please help me fix this? p.s. all fields above are from the same table A.
I tried:
SELECT CASE WHEN t.VarB<>0 THEN ROUND(100 * t.VarA / t.VarB, 1)
ELSE 0 /* or whatever you'd want to return in this case */
END
FROM (SELECT CASE WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN 1
ELSE 0
END AS VarA,
CASE WHEN [Date_Completed] IS NOT NULL THEN 1
ELSE 0
END AS VarB
FROM EXCEL.Batch_Records A) t
But I got 33000 rows returned instead of just one, where each row = 100 or 0.
Good idea, Conrad! I tested your solution and it works if I just want that one value. But what I didn't tell you was that there are additional values I need returned from same query. When I tried adding in the other value calculations, I got syntax errors. So here is my current query. How should htis be rewritten please?
select
SUM(CASE WHEN A.DATE_RECEIVED IS NOT NULL THEN 1 ELSE 0 END) AS NUM_RECEIVED,
SUM(CASE WHEN [Date_Completed] IS NOT NULL THEN 1 ELSE 0 END) AS NUM_COMPLETE_OF_OPENED,
SUM(CASE WHEN A.DATE_COMPLETED IS NOT NULL THEN 1 ELSE 0 END) AS NUM_COMPLETED_IN_MONTH,
SUM(CASE WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN 1 ELSE 0 END) AS NUM_WITHOUT_ERROR,
round(100 * a/b , 1)
from
(select
sum(CASE
WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN
1.0
ELSE 0.0 END) A,
sum(CASE WHEN [Date_Completed] IS NOT NULL THEN
1.0 ELSE 0.0 END) B
FROM EXCEL.Batch_Records a
LEFT JOIN EXCEL.QC_CODES d ON a.Part_Number = d.CODE_ID
WHERE (a.[Group] = #GROUP or #GROUP = '' OR #GROUP IS NULL) AND A.Date_Received >= #STARTDATE AND A.Date_Received <= #ENDDATE
Conrad correctly advised me that #TEMP1 was an empty table. But now I populated it and successfully designed this query with his help:
SET #STARTDATE = '1/1/11'
SET #ENDDATE = '1/31/11'
SET #GROUP = 'INTERMEDIATES_FISH'
--SET #TABLE_TITLE = 'BATCH RECORD SUCCESS RATE'
--SET #DEPT = 'QC'
IF EXISTS(SELECT * FROM TEMPDB.INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME LIKE '#TEMP1%')
DROP TABLE #TEMP1
--CREATE TABLE #TEMP1 ( MFG int , MFG2 int , QC int, QC2 INT , [Group] NVARCHAR(MAX), [Date_Completed] datetime, Date_Received datetime)
SELECT
MFG, MFG2, QC, QC2, [GROUP], [DATE_COMPLETED], [DATE_RECEIVED]
INTO #TEMP1
FROM EXCEL.Batch_Records a
WHERE (a.[Group] = #GROUP or #GROUP = '' OR #GROUP IS NULL) AND A.Date_Received >= #STARTDATE AND A.Date_Received <= #ENDDATE
------------------------------------------
;WITH CTE AS
(
SELECT
CASE
WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN
1.0
ELSE 0.0 END A,
CASE WHEN [Date_Completed] IS NOT NULL THEN 1.0 ELSE 0.0 END B,
CASE WHEN A.Date_Received IS NOT NULL THEN 1 ELSE 0 END NUM_RECEIVED,
CASE WHEN [Date_Completed] IS NOT NULL THEN 1 ELSE 0 END NUM_COMPLETE_OF_OPENED,
CASE WHEN A.DATE_COMPLETED IS NOT NULL THEN 1 ELSE 0 END NUM_COMPLETED_IN_MONTH,
CASE WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN 1 ELSE 0 END AS NUM_WITHOUT_ERROR
FROM
#TEMP1 a
--WHERE (a.[Group] = #GROUP or #GROUP = '' OR #GROUP IS NULL) AND A.Date_Received >= #STARTDATE AND A.Date_Received <= #ENDDATE
)
select
round(100 * SUM(A)/SUM(b) , 1) ,
SUM(NUM_RECEIVED) NUM_RECEIVED,
SUM(NUM_COMPLETE_OF_OPENED) NUM_COMPLETE_OF_OPENED,
SUM(NUM_COMPLETED_IN_MONTH) NUM_COMPLETED_IN_MONTH,
SUM(NUM_WITHOUT_ERROR) NUM_WITHOUT_ERROR
FROM CTE
Basically you need to use SUM() to get the sum. You should also use 1.0 and 0.0 so you get decimal values.
You should also do the SUM before the Division
UPDATE
Since you're adding in a number of SUM(CASE statements its probably more readable to move the CASE statments out to a CTE.
CREATE TABLE #Batch_Records (
MFG int ,
MFG2 int ,
QC int,
QC2 INT ,
[Group] int,
[Date_Completed] datetime,
Date_Received datetime)
INSERT INTO #Batch_Records (MFG , MFG2 , QC , QC2 , [Group] , [Date_Completed] , Date_Received )
VALUES (1,null,null,null,1,'1/4/2011','2/4/2011'),
(null,null,null,null,1,'2/2/2011','3/4/2011'),
(1,null,null,null,1,'3/6/2011','4/3/2011'),
(null,null,null,null,1,NULL,'5/4/2011'),
(1,null,null,null,1,'5/4/2011','6/6/2011'),
(1,null,null,null,1,NULL,'7/4/2011')
DECLARE #GROUP int
DECLARE #STARTDATE DateTime
DECLARE #ENDDATE DateTime
SET #GROUP = 1
SET #STARTDATE = '1/1/2001'
SET #ENDDATE = '1/1/2012'
;WITH CTE AS
(
SELECT
CASE
WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN
1.0
ELSE 0.0 END A,
CASE WHEN [Date_Completed] IS NOT NULL THEN
1.0 ELSE 0.0 END B,
CASE WHEN A.Date_Received IS NOT NULL THEN 1 ELSE 0 END NUM_RECEIVED,
CASE WHEN [Date_Completed] IS NOT NULL THEN 1 ELSE 0 END NUM_COMPLETE_OF_OPENED,
CASE WHEN A.DATE_COMPLETED IS NOT NULL THEN 1 ELSE 0 END NUM_COMPLETED_IN_MONTH,
CASE WHEN A.MFG IS NULL AND A.MFG2 IS NULL AND A.QC IS NULL AND A.QC2 IS NULL THEN 1 ELSE 0 END AS NUM_WITHOUT_ERROR
FROM
#Batch_Records a
WHERE
(a.[Group] = #GROUP or #GROUP = '' OR #GROUP IS NULL)
AND A.Date_Received >= #STARTDATE AND A.Date_Received <= #ENDDATE
)
select
round(100 * SUM(A)/SUM(b) , 1) ,
SUM(NUM_RECEIVED) NUM_RECEIVED,
SUM(NUM_COMPLETE_OF_OPENED) NUM_COMPLETE_OF_OPENED,
SUM(NUM_COMPLETED_IN_MONTH) NUM_COMPLETED_IN_MONTH,
SUM(NUM_WITHOUT_ERROR) NUM_WITHOUT_ERROR
FROM CTE
DROP TABLE #Batch_Records