i have to SQL server 2008 tables as below
Table A
ID int Not Null (primary ID)
No int NULL
Value int NULL
Flag nchar(10) NULL
Table B
ID int Not Null (primary ID)
No int NULL
Value int NULL
Flag nchar(10) NULL
and i Have below data in table A
ID No Value Flag
1 1 12 1
2 1 12 1
3 1 25 1
4 2 120 1
5 3 36 2
6 2 120 2
7 6 1 1
8 2 10 1
9 6 10 2
10 1 25 2
11 2 120 1
and there no records in table B
when i write below statement
SELECT dbo.A.No, SUM(dbo.A.Value) AS [IN], SUM(ISNULL(dbo.B.Value, 0)) AS OUT
FROM dbo.A LEFT OUTER JOIN
dbo.B ON dbo.A.NO = dbo.B.NO
WHERE (dbo.A.Flag = N'1')
GROUP BY dbo.A.No
I am getting below result
No IN OUT
1 49 0
2 250 0
6 1 0
When I add WHERE (dbo.A.Flag = N'1') AND (dbo.B.Flag = N'1')
nothing is coming..
my question is How to get records from table B as 0 when B not contains records or not find B.Id
UPDATE :
When i have data in table B Then records are coming.
Imran,
I think the below sql will help you.
SELECT A.No,
SUM(A.Value) AS [IN],
SUM(ISNULL(B.Value, 0)) AS [OUT]
FROM dbo.A A
LEFT JOIN dbo.B B ON A.No = B.No AND B.Flag = N'1'
WHERE A.Flag = N'1'
GROUP BY A.No
Try using this condition :-
WHERE (dbo.A.Flag = N'1') AND (dbo.B.Flag = ISNULL(N'1',0));
This might be helpful to you.
Related
I have two tables:
list_table:
id
name
1
a
2
b
3
c
vt_table:
id
list_id
amount
direction_id
1
1
20
1
2
1
12
2
3
1
15
1
4
2
23
1
5
1
20
1
6
1
20
2
7
1
18
1
I need this result:
amount (dir_id = 1 - dir_id = 2), list_id
amount
list_id
41
1
23
2
0
3
Amount is sum of all amount fields in table vt_table where direction_id = 1 minus sum of all amount fileds in table vt_table where direction_id = 2
And I need group this calculations by list_id, and if table have no rows with list_id 3, as example, amount must be 0.
I'm trying to do it with this query:
SELECT vt.list_id
, ((SELECT COALESCE(SUM(vt.amount), 0)
FROM table_name vt
WHERE vt.direction_id = 1)
-
(SELECT COALESCE(SUM(vt.amount), 0)
FROM table_name vt
WHERE direction_id = 2)) AS result
FROM table_name vt
GROUP BY vt.list_id
But I don't know how to group it correctly and make it so that if there were no entries for some list_id, then the amount was 0 for this list_id.
I use PostgreSQL 12.
Here the examples
You can try to use OUTER JOIN with condition aggregate function with COALESCE fucntion.
Query 1:
SELECT l.id,
SUM(COALESCE(CASE WHEN vt.direction_id = 1 THEN vt.amount END,0)) -
SUM(COALESCE(CASE WHEN vt.direction_id = 2 THEN vt.amount END,0)) AS result
FROM table_name vt
RIGHT JOIN list l ON vt.list_id = l.id
GROUP BY l.id
ORDER BY l.id
Results:
| id | result |
|----|--------|
| 1 | 41 |
| 2 | 23 |
| 3 | 0 |
Try something like this, as a start:
SELECT vt.list_id
, COALESCE(SUM(CASE WHEN direction_id = 1 THEN amount END), 0)
- COALESCE(SUM(CASE WHEN direction_id = 2 THEN amount END), 0) AS result
FROM table_name vt
GROUP BY vt.list_id
;
Result using your fiddle:
list_id
result
1
41
2
23
This just misses the cases where there are no vt rows for some list.
Use an outer join to address those cases.
SELECT SUM(CASE WHEN vt.direction_id = 1 THEN vt.amount ELSE 0 END) - SUM(CASE WHEN vt.direction_id = 2 THEN vt.amount ELSE 0 END) as amount,
lt.id as list_id
FROM list_table lt
LEFT OUTER JOIN vt_table vt
ON lt.id = vt.list_id
GROUP BY lt.id
ORDER BY lt.id
I have a table A:
entity_id name
------------------
1 Test1
2 Test2
3 Test3
4 Test4
5 Test5
6 Test6
I have a table B:
entity_id value1 value2
-----------------------------
1 10 20
1 15 30
2 10 25
1 9 45
3 null 1
2 45 50
3 20 null
I need to write a single query to select the entity_id and name from Table A and count the total occurrences for an entity_id of columns value1 and value2 from Table B and then the total of those column counts (null doesn't count).
So my output table would be:
entity_id name value1_count value2_count total_count
----------------------------------------------------------------------
1 Test1 3 3 6
2 Test2 1 2 3
3 Test3 1 1 2
4 Test4 0 0 0
5 Test5 0 0 0
6 Test6 0 0 0
I am having trouble summing the count of value1 and count of value2 and outputting that value in the total_count per unique entity_it.
This is the query I have so far:
SELECT DISTINCT a.entity_id, a.name
, count(b.value1) AS value1_count, count(b.value2) AS value2_count, sum(2) AS total_count
FROM a
LEFT JOIN b ON a.entity_id = b.entity_id
GROUP BY a.entity_id, a.name
I know that the sum(2) as total_count is incorrect and doesn't get me what I want.
SELECT entity_id, a.name
, COALESCE(b.v1_ct, 0) AS value1_count
, COALESCE(b.v2_ct, 0) AS value2_count
, COALESCE(b.v1_ct + b.v2_ct, 0) AS total_count
FROM a
LEFT JOIN (
SELECT entity_id, count(value1) AS v1_ct, count(value2) AS v2_ct
FROM b
GROUP BY 1
) b USING (entity_id);
db<>fiddle here
Aggregate first, join later. That's simpler and faster. See:
Query with LEFT JOIN not returning rows for count of 0
count() never produces NULL. Only the LEFT JOIN can introduce NULL values for counts in this query, so v1_ct and v2_ct are either both NULL or both NOT NULL. Hence COALESCE(v1_ct + v2_ct, 0) is ok. (Else, one NULL would nullify the other summand in the addition.)
try this :
WITH list AS
(
SELECT b.entity_id
, count(*) FILTER (WHERE b.value1 IS NOT NULL) OVER () AS value1_count
, count(*) FILTER (WHERE b.value2 IS NOT NULL) OVER () AS value2_count
FROM Table_B AS b
GROUP BY b.entity_id
)
SELECT a.entity_id, a.name
, COALESCE(l.value1_count, 0)
, COALESCE(l.value2_count,0)
, COALESCE(l.value1_count + l.value2_count, 0) AS total_count
FROM Table_A AS a
LEFT JOIN list AS l
ON a.entity_id = l.entity_id
table ta having four columns ( SQL server and D column is date)
A | B | C|D
1 |11| 0|10-MAY-2019
1 |12| 0|10-MAY-2019
1 |13| 0|null
2 |33| 5|null
2 |34| 10|null
2 |35| 78|null
5 |45| 0|10-MAY-2019
5 |49| 0|10-MAY-2019
5 |51| 0|10-MAY-2019
8 |10| 0|1-MAY-2018
8 |14| 0|1-MAY-2018
8 |34| 0|1-MAY-2018
I am looking the SQL query to fetch the distinct A value which is having C value ZERO for all the B (ie. SUM(ABS(C))=0) and all D value for that will not be null and should be > GETDATE() - 90 (i.e any day between current date and 90 days)
From above table I would only get the value of A as '5'
Try this-
SELECT * FROM
(
SELECT A
FROM your_table
WHERE D > CAST(DATEADD(DD,-90,GETDATE()) AS DATE)
GROUP BY A
HAVING COUNT(A) = SUM(CASE WHEN C= 0 THEN 1 ELSE 0 END)
)A
WHERE NOT EXISTS
(
SELECT 1 FROM your_table B WHERE A.A = B.A
AND D IS NULL
)
You can use aggregation. I think this is the logic you describe:
select a
from t
where d > dateadd(day, -90, getdate()) or d is null
group by a
having max(c) = 0 and
count(*) = count(d); -- no NULL d values
I need to get the sum of all TOTAL fields where the ID, RECNO and DRCR fields have the same value, while also displaying these fields in the result set.
eg
ID RECNO SECRECNO DRCR TOTAL
1 9 5 D 25
1 9 12 D 22
1 9 6 C 33
1 9 5 D 50
1 8 2 D 12
1 8 2 C 23
2 9 5 D 100
So the results of the query should be
ID RECNO SECRECNO DRCR SUM(TOTAL)
1 9 5 D 75
1 9 12 D 22
1 9 6 C 33
1 8 2 D 12
1 8 2 C 23
2 9 5 D 100
This query will give the results set, without the TOTAL:
select distinct t1.recno, t1.secrecno
from table t1, table t2
where t1.recno = t2.recno and t.id = '1' and t1.drcr = 'D'
But I can't see how to SUM the TOTAL of these results.
How to do this?
select t1.id,
t1.recno,
t1.secrecno,
t1.drcr,
SUM( TOTAL )
from table t1
INNER JOIN
table t2
ON ( t1.recno = t2.recno )
WHERE t1.id = '1'
AND t1.drcr = 'D'
GROUP BY
t1.id,
t1.recno,
t1.secrecno,
t1.drcr
I have the following tables I need to find out the sum.
Table A
ID Name
1 Jason
2 Peter
3 Ravi
Table B
ID ID_SEC
1 11
1 12
1 13
2 21
2 22
2 23
3 31
3 32
3 33
Table C
ID_SEC Value Include_Ind
11 100 Y
12 200 Y
13 300 N
21 10 Y
22 20 N
23 30 N
31 1000 N
32 2000 N
33 3000 N
Output
ID Name Total Include_Ind_count [only count when Y]
1 Jason 600 2
2 Peter 60 1
3 Ravi 6000 0
Use:
SELECT a.id,
a.name,
SUM(c.value) AS total
FROM TABLE_A a
JOIN TABLE_B b ON b.id = a.id
JOIN TABLE_C c ON c.id_sec = b.id_sec
GROUP BY a.id, a.name
The trick to counting INCLUDE_IND only when the flag is set to 'Y' is to use CASE() to test its value:
SQL> select a.id
2 , a.name
3 , sum ( c.val) as total
4 , count( case when c.include_ind = 'Y' then 1
5 else null end ) as inc_ind_cnt
6 from a
7 join b on ( b.id = a.id )
8 join c on ( c.id_sec = b.id_sec )
9 group by a.name, a.id
10 order by a.id
11 /
ID NAME TOTAL INC_IND_CNT
---------- ---------- ---------- -----------
1 Jason 600 2
2 Peter 60 1
3 Ravi 6000 0
SQL>
The ORDER BY is necessary to guarantee sort order since Oracle changed the algorithm it uses for GROUP BY operations in 10g.
You can use inner Joins and SUM for getting the result -
Assuming you tableC.Value is int field. Else you need to cast it.
SELECT tabA.id, tabA.name, SUM(tabC.value)
FROM TABLE_A tabA
INNER JOIN TABLE_B tabB ON tabB.id = tabA.id
INNER JOIN TABLE_C tabc ON tabC.id_sec = tabB.id_sec
GROUP BY tabA.id, tabA.name