Adding multiple columns of multiple tables into one column - sql

I have two tables with same column name I have to add the oprId column values for some specific condition on both tables.
Table 1
something oprId
abc 1
qwe 2
Table 2
something oprId
abc 2
qwe 5
Result should be
oprId
3
7

declare #T1 table (something varchar(3), oprId int)
declare #T2 table (something varchar(3), oprId int)
insert into #T1 values ('abc', 1),('qwe', 2)
insert into #T2 values ('abc', 2),('qwe', 5)
select T1.oprId+T2.oprId as oprId
from #T1 as T1
inner join #T2 as T2
on T1.something = T2.something
Result:
oprId
------
3
7

SELECT ISNULL(A.something,B.something) Something,
ISNULL(A.oprId,0)ÍSNULL(B.oprId,0) oprId
FROM Table1 A
FULL JOIN Table2 B
ON A.something = B.something

Related

Mapeate values from a row that poins out several FK to the same table

Table 1
ID EXTERNALCODE Brand_T Brand_E Brand_C
1 569859 1 2 3
2 545479 4 2 5
Brands have the same Foreign Key to table 2, they are IDs of table 2.
Table 2
ID Brand_Code
1 eee
2 465656
3 456U99
4 4OREFUOREFJ9
5 r56
FINAL RESULT SHOULD BE:
ID EXTERNALCODE Brand_Code
1 569859 eee
1 569859 465656
1 569859 456U99
2 545479 4OREFUOREFJ9
2 545479 465656
2 545479 r56
What I have tried:
Select
Table1.Id
,Table1.EXTERNALCODE
,Table2.Brand_Code as Brand_Code
,T2_E.Brand_Code as Brand_Code
,T2_C.Brand_Code as Brand_Code
FROM
Table2 Left join Table1 ON Table2.Id = Table1.Brand_T
Table2 Left join Table1 ON Table2.Id = Table1.Brand_E
Table2 Left join Table1 ON Table2.Id = TabLe1.Brand_C
But this query is giving many duplicates.
Since you can't fix the normalization issue you could query against your existing structures something like this.
declare #Table1 table
(
ID int
, EXTERNALCODE int
, Brand_T int
, Brand_E int
, Brand_C int
)
insert #Table1 values
(1, 569859, 1, 2, 3)
, (2, 545479, 4, 2, 5)
declare #Table2 table
(
ID int
, Brand_Code varchar(50)
)
insert #Table2 values
(1, 'eee')
, (2, '465656')
, (3, '456U99')
, (4, '4OREFUOREFJ9')
, (5, 'r56')
select t1.Id
, t1.EXTERNALCODE
, t2.Brand_Code
from #Table1 t1
join #Table2 t2 ON t2.ID in (t1.Brand_T, t1.Brand_E, t1.Brand_C)

Get exact match between two table

I have a issue that is hard to explain. I have two tables
table1: (this is something like shipping table)
ID ShippingId ProductId1 ProductId2
1 100 A A1
2 100 A A2
3 100 A A3
4 100 A A4
5 100 A A5
6 200 B B1
7 200 B B2
8 300 B A1
9 300 B A2
table2: (and this is about relation between ProductId1 and ProductId2)
ID ProductId1 ProductId2
1 A A1
2 A A2
3 A A3
4 A A4
5 A A5
6 B B1
7 B B2
In the case the shipment "100" includes all items of "A" so this should "true"
and the shipments "200" and "300" does not include all parts of their main products. So expected output should be like
ShippingId ProductId1 IsIncludeAll
100 A true
200 B false
300 A true
can you guys help me?
DECLARE #table1 AS TABLE
(
ShippingID INT,
ProductId1 INT,
ProductId2 INT
)
DECLARE #table2 AS TABLE
(
ProductId1 INT,
ProductId2 INT
)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (100,111, 1119)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (100,111, 1118)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (100,111, 1117)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (100,111, 1116)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (100,111, 1115)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (200,222, 2229)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (200,222, 2228)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (300,111, 1117)
INSERT INTO #table1 (ShippingId,ProductId1,ProductId2) VALUES (300,111, 1116)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 111, 1119)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 111, 1118)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 111, 1117)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 111, 1116)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 111, 1115)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 222, 2229)
INSERT INTO #table2 (ProductId1,ProductId2) VALUES ( 222, 2228)
ShippingId ProductId1 IsIncludeAll
100 A true
200 B false
300 A false
A total guess, as the sample DDL and DML don't match the sample data, but perhaps this?
SELECT S.ShippingID,
T2.ProductId1,
CASE COUNT(CASE WHEN T1.ProductId2 IS NULL THEN 1 END) WHEN 0 THEN 'true' ELSE 'false' END AS IsIncludeAll
FROM #table2 T2
CROSS APPLY (SELECT DISTINCT
sq.ShippingID,
sq.ProductId1
FROM #table1 sq
WHERE sq.ProductId1 = T2.ProductId1) S
LEFT JOIN #table1 T1 ON T2.ProductId1 = T2.ProductId1
AND T1.ProductId2 = T2.ProductId2
AND S.ShippingID = T1.ShippingID
GROUP BY S.ShippingID,
T2.ProductId1;
Little confused on your sample data and output. From my thought Check this query and output.
------Step 1. concatenate product1 and product2 with ShippingID wise,product1 wise order by ShippingID,ProductId1,ProductId2-------------------
declare #Shipping as table
(
ShippingID INT,
ProductId1 INT,
ProductDesc varchar(max)
)
insert #Shipping
SELECT Shipping.ShippingID,Shipping.ProductId1,
LEFT(Shipping.prod_desc,Len(Shipping.prod_desc)-1) As prod_desc
FROM
(
SELECT DISTINCT T2.ShippingID, T2.ProductId1,
(
SELECT cast(T1.ProductId1 as varchar(10))+'-' +cast(T1.ProductId2 as varchar(10))+ '|' AS [text()]
FROM dbo.table1 T1
WHERE T1.ShippingID = T2.ShippingID and T1.ProductId1=T2.ProductId1
ORDER BY T1.ShippingID,ProductId1,ProductId2
FOR XML PATH ('')
) prod_desc
FROM dbo.table1 T2
) Shipping
------Step 2. concatenate product1 and product2 with product1 wise order by ProductId1,ProductId2-------------------
declare #relation as table
(
ProductId1 INT,
ProductDesc varchar(max)
)
insert #relation
SELECT relation.ProductId1,LEFT(relation.prod_desc,Len(relation.prod_desc)-1) As prod_desc
FROM
(
SELECT DISTINCT T2.ProductId1,
(
SELECT cast(T1.ProductId1 as varchar(10))+'-' +cast(T1.ProductId2 as varchar(10))+ '|' AS [text()]
FROM dbo.table2 T1
WHERE T1.ProductId1=T2.ProductId1
ORDER BY ProductId1,ProductId2
FOR XML PATH ('')
) prod_desc
FROM dbo.table2 T2
) relation
------Step 1. use left join to match with concatinated string of every product1. if matches return True otherwise False-------------------
select a.ShippingID,a.ProductId1,case when b.ProductDesc is null then 'False' else 'True' end as IsIncludeAll
from #Shipping a
left join #relation b
on a.ProductId1=b.ProductId1 and a.ProductDesc=b.ProductDesc
-----Result-----------
------------+---------------+--------------
ShippingID | ProductId1 | IsIncludeAll
------------+---------------+--------------
100 | 111 | True
200 | 222 | True
300 | 111 | False

Get records from a table that hit all detail types in another table

I have two tables, Table1 contains master records and Table2 contains details.
How I can get all records in Table1 that hit all details in Table2
CREATE Table1 ([ID] INT , [Title] VARCHAR(256))
CREATE Table2 ([ID] INT, [Table1_ID] INT, [Detail] INT)
Sample:
Table1:
ID Title
---------------
1 Data_1
2 Data_2
3 Data_3
Table2
ID Table1_ID Detail
-------------------------------
1 1 500
2 1 600
3 2 500
4 3 500
5 3 600
I need to this result:
Result:
Table1_ID Table1_Title
----------------------
1 Data_1
3 Data_3
I'm looking for a way with best performance.
This is basic inner join example:
select Table1.ID, Title
from Table1
inner join Table2 on Table1.ID = Table2.Table1_ID
An INNER JOIN between the two tables will get you the results that exist in both tables, so :
SELECT
T1.ID, T1.Title
FROM Table1 T1
INNER JOIN Table2 T2 ON T1.ID = T2.Table1_ID
Would get you all the records from the tables were the ID from Table1 is in Table2
There's a splendid post HERE which explains the different types of joins
Here you go:
DECLARE #T1 TABLE (ID INT, Title VARCHAR(256));
DECLARE #T2 TABLE (ID INT, Table1_ID INT, Detail INT);
INSERT INTO #T1 VALUES
(1,'Data_1'),
(2,'Data_2'),
(3,'Data_3');
INSERT INTO #T2 VALUES
(1,1,500),
(2,1,600),
(3,2,500),
(4,3,500),
(6,3,600);
SELECT T1.ID Table1_ID, T1.Title Table1_Title
FROM #T1 T1 INNER JOIN #T2 T2 ON T1.ID = T2.ID
WHERE T1.ID IN (1,3);
Output:
+-----------+--------------+
| Table1_ID | Table1_Title |
+-----------+--------------+
| 1 | Data_1 |
| 3 | Data_3 |
+-----------+--------------+
Demo.
I found this solution I am not sure if it is the best way to do this?
DECLARE #T1 TABLE ([ID] INT, [Title] VARCHAR(256));
DECLARE #T2 TABLE ([ID] INT, [Table1_ID] INT, [Detail] INT);
INSERT INTO #T1
VALUES
(1, 'Data_1'),
(2, 'Data_2'),
(3, 'Data_3');
INSERT INTO #T2
VALUES
(1, 1, 500),
(2, 1, 600),
(3, 2, 500),
(4, 3, 500),
(5, 3, 600);
DECLARE #DetailCount INT
SELECT #DetailCount = COUNT(DISTINCT [Detail]) FROM #T2
SELECT
T1.[ID] [Table1_ID],
T1.[Title] [Table1_Title]
FROM
#T1 T1 INNER JOIN
#T2 T2 ON T1.[ID] = T2.[Table1_ID]
GROUP BY
T1.[ID],
T1.[Title]
HAVING
COUNT(T2.[Detail]) = #DetailCount

Update Value from Reference table

I'm Working with Sql server 2008 i have two tables and one reference table.table1 contains ,
Id Name test1 test2
1 sss started processing
2 asdfasd started processing
table 2 contains,
Id Name test1 test2
1 sss 2 2
2 asdfasd 3 2
reference table has ,
code Name
1 Started
2 processing
3 stopped
i have to write update query to change the table 2 values as following,
Id Name test1 test2
1 sss 1 2
2 asdfasd 1 2
how to write update query for the above scenario?
Please find example below.
You can do this in one UPDATE
DECLARE #table1 Table (ID INT, NAME VARCHAR(100), test1 VARCHAR(100), test2 VARCHAR(100))
INSERT INTO #table1 SELECT 1, 'sss', 'started', 'processing'
INSERT INTO #table1 SELECT 2, 'asdfasd', 'started', 'processing'
DECLARE #table2 Table (ID INT, NAME VARCHAR(100), test1 INT, test2 INT)
INSERT INTO #table2 SELECT 1, 'sss', 2, 2
INSERT INTO #table2 SELECT 2, 'asdfasd', 3, 2
DECLARE #refTable Table (CODE INT, NAME VARCHAR(100))
INSERT INTO #refTable SELECT 1, 'Started'
INSERT INTO #refTable SELECT 2, 'processing'
INSERT INTO #refTable SELECT 3, 'stopped'
UPDATE T2
SET test1 = R1.Code,
test2 = R2.Code
FROM #table2 T2
INNER JOIN #table1 T1
ON T1.ID = T2.ID
INNER JOIN #refTable R1
ON T1.test1 = R1.Name
INNER JOIN #refTable R2
ON T1.test2 = R2.Name
SELECT *
FROM #table2

SQL Management Studio Selecting specific children

So I have three tables, table1, table2, and table3. They each have ID fields, table1ID, table2ID, and table3ID respectively. Additionally, table2 has a field table1ID which points to a row in table1, and table3 has a field table2ID which points to a row in table2.
So, my question is, how do I do a select statement that selects only the rows in table3 that reference a row in table2 that reference a row in table1 with the ID 4?
You're looking at a link of joins similar to this
select * from table3
join table2 on table3.table2ID = table2.table2ID
join table1 on table2.table1ID = table1.table1ID
where table1.ID = 4
this will only return table3 records if there is a matching table2 AND table 1 record. The join will filter the results out where the joins match, and the WHERE filter will only select from the results where table1 ID = 4.
A working sample I whipped up (hey I have time to kill)
create table #table1 (table1ID int)
create table #table2 (table2ID int, table1ID int)
create table #table3 (table3ID int, table2ID int)
insert into #table1 values(1)
insert into #table1 values(2)
insert into #table1 values(3)
insert into #table1 values(4)
insert into #table2 values(10, 1)
insert into #table2 values(11, 2)
insert into #table2 values(12, 3)
insert into #table2 values(13, 4)
insert into #table3 values(20, 10)
insert into #table3 values(21, 11)
insert into #table3 values(22, 12)
insert into #table3 values(23, 13)
-- all joined records
select * from #table3
join #table2 on #table3.table2ID = #table2.table2ID
join #table1 on #table2.table1ID = #table1.table1ID
-- only where table1 ID = 4
select * from #table3
join #table2 on #table3.table2ID = #table2.table2ID
join #table1 on #table2.table1ID = #table1.table1ID
where #table1.table1ID = 4
drop table #table1
drop table #table2
drop table #table3
This gives you
table3ID table2ID table2ID table1ID table1ID
----------- ----------- ----------- ----------- -----------
20 10 10 1 1
21 11 11 2 2
22 12 12 3 3
23 13 13 4 4
table3ID table2ID table2ID table1ID table1ID
----------- ----------- ----------- ----------- -----------
23 13 13 4 4