Getting MAX date from two tables after INNER JOIN - sql

I have below tables:
declare #tbl1 table (Id1 int, crtdate datetime, InvcNbr varchar(10), ShipperId varchar(10), InvtId varchar(10))
insert into #tbl1 values (1,'01/01/2016','001','S111','111')
insert into #tbl1 values (2,'01/10/2016','002','S111','111')
insert into #tbl1 values (3,'01/02/2016','003','S112','112')
insert into #tbl1 values (4,'01/08/2016','004','S112','112')
insert into #tbl1 values (5,'01/04/2016','005','S113','113')
insert into #tbl1 values (6,'01/05/2016','006','S114','113')
declare #tbl2 table (Id2 int, SerialNo varchar(10), InvcNbr varchar(10), ShipperId varchar(10), InvtId varchar(10))
insert into #tbl2 values (1,'1111111','001','S111','111')
insert into #tbl2 values (2,'1111111','002','S111','111')
insert into #tbl2 values (3,'1111112','003','S112','112')
insert into #tbl2 values (4,'1111112','004','S112','112')
insert into #tbl2 values (5,'1111113','005','S113','113')
insert into #tbl2 values (6,'1111113','006','S114','113')
These two tables are related by fields: InvcNbr, ShipperId and InvtId
Serials from #tbl2 are present in two different invoices (InvcNbr). How to show only the results from the latest InvcNbr
The result should be like this:
Id1 crtdate InvcNbr ShipperId InvtId Id2 SerialNo InvcNbr ShipperId InvtId
2 2016-01-10 00:00:00.000 002 S111 111 2 1111111 002 S111 111
4 2016-01-08 00:00:00.000 004 S112 112 4 1111112 004 S112 112
6 2016-01-05 00:00:00.000 006 S114 113 6 1111113 006 S114 113

with lastInvoices as (
select SerialNo, MAX(InvcNbr) LastInvcNbr
from #tbl2
group by SerialNo
)
select t1.*,t2.*
from lastInvoices li
join #tbl2 t2 on (li.SerialNo = t2.SerialNo and li.LastInvcNbr=t2.InvcNbr)
join #tbl1 t1 on (t1.InvcNbr = t2.InvcNbr and t1.ShipperId = t2.ShipperId and t1.InvtId = t2.InvtId)

Below script will give you the desired result..
;with cte_1
as
(SELECT Id1,a.crtdate,a.InvcNbr InvcNbr1 ,a.ShipperId ShipperId1 ,a.InvtId InvtId1,b.Id2,b.SerialNo,b.InvcNbr InvcNbr2,b.ShipperId ShipperId2
,ROW_NUMBER()OVER(PARTITION BY b.serialNo ORDER BY a.crtdate desc) Rno
FROM #tbl1 a
JOIN #tbl2 b on a.InvcNbr=b.InvcNbr AND a.ShipperId=b.ShipperId and a.InvtId=b.InvtId)
SELECT *
FROM cte_1
WHERE Rno=1

Related

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

Adding multiple columns of multiple tables into one column

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

SQL Query without Temporary Table

I have written a query which works great on my local SQL Server 2005. I uploaded the query to my hosting server and somehow they say that temporary table creation is disabled on their server.
My query looks like this
create table #tmp
(
srno int identity (1,1) ,
orderid int,
orderdate datetime,
product_code varchar(255),
product_name varchar(255),
shipping_cost decimal(18,2)
)
insert into #tmp (orderid, orderdate, product_code, product_name, shipping_cost)
(select distinct
ord.orderid, ord.orderdate, odn.productcode,
odn.productname, ord.totalshippingcost
from OrderNew ord
inner join order_detailsnew odn on ord.orderid = odn.orderid)
declare #rowcount int, #flag int, #orderid int
set #rowcount = (select ##ROWCOUNT)
set #flag = 0
while (#flag <#rowcount)
begin
set #orderid = (select orderid from #tmp where srno = #flag + 1)
if exists (select 1 from #tmp where orderid = #orderid )
begin
update #tmp
set shipping_cost = 0.0
where srno IN (select srno from #tmp
where orderid = #orderid
AND srno NOT IN (SELECT TOP 1 srno FROM #tmp where orderid = #orderid))
end
set #flag = #flag+1
end
select * from #tmp
drop table #tmp
So not sure if this query can be written without a temporary table, joins etc not sure if it will work ? Any advise ?
I presume this query is to feed into a report which is why you only want the total shipping cost once, while you don't need a temp table for this for reference you can always do this instead if you need to:
DECLARE #tmp TABLE
(
srno int identity (1,1) ,
orderid int,
orderdate datetime,
product_code varchar(255),
product_name varchar(255),
shipping_cost decimal(18,2)
)
and use #tmp rather than #tmp
But you shouldn't need a temp table for this, see below:
SELECT ord.orderid, ord.orderdate, odn.productcode, odn.productname, ord.totalshippingcost
FROM OrderNew AS ord
INNER JOIN order_detailsnew AS odn ON odn.orderid = ord.orderid
WHERE odn.productcode = (SELECT MIN(productcode) FROM OrderNew AS odn2 WHERE odn2.orderid = ord.orderid)
UNION ALL
SELECT ord.orderid, ord.orderdate, odn.productcode, odn.productname, 0.0 AS totalshippingcost
FROM OrderNew AS ord
INNER JOIN order_detailsnew AS odn ON odn.orderid = ord.orderid
WHERE odn.productcode > (SELECT MIN(productcode) FROM OrderNew AS odn2 WHERE odn2.orderid = ord.orderid)
ORDER BY ord.orderid, ord.orderdate, odn.productcode
Works fine for me with the following test script:
DECLARE #ord TABLE
(
orderid int,
orderdate datetime,
totalshippingcost decimal(18,2)
)
DECLARE #odn TABLE
(
orderid int,
productcode varchar(255),
productname varchar(255)
)
INSERT INTO #ord VALUES(1, CAST('20110101' AS DATETIME), 50.25)
INSERT INTO #ord VALUES(2, CAST('20110105' AS DATETIME), 78.15)
INSERT INTO #ord VALUES(3, CAST('20110112' AS DATETIME), 65.50)
INSERT INTO #ord VALUES(4, CAST('20110112' AS DATETIME), 128.00)
INSERT INTO #odn VALUES(1, 'aa', 'AAA')
INSERT INTO #odn VALUES(1, 'bb', 'BBB')
INSERT INTO #odn VALUES(1, 'cc', 'CCC')
INSERT INTO #odn VALUES(2, 'aa', 'AAA')
INSERT INTO #odn VALUES(2, 'bb', 'BBB')
INSERT INTO #odn VALUES(3, 'bb', 'BBB')
INSERT INTO #odn VALUES(3, 'cc', 'CCC')
INSERT INTO #odn VALUES(4, 'cc', 'CCC')
And my results:
Result Set (8 items)
orderid | orderdate | productcode | productname | totalshippingcost
1 | 01/01/2011 00:00:00 | aa | AAA | 50.25
1 | 01/01/2011 00:00:00 | bb | BBB | 0.00
1 | 01/01/2011 00:00:00 | cc | CCC | 0.00
2 | 05/01/2011 00:00:00 | aa | AAA | 78.15
2 | 05/01/2011 00:00:00 | bb | BBB | 0.00
3 | 12/01/2011 00:00:00 | bb | BBB | 65.50
3 | 12/01/2011 00:00:00 | cc | CCC | 0.00
4 | 12/01/2011 00:00:00 | cc | CCC | 128.00
edit: I wasn't happy with the above solution, here's a uch faster and more elegant way of doing it:
SELECT ord.orderid, ord.orderdate, ord.productcode, ord.productname, CASE WHEN row_no = 1 THEN ord.totalshippingcost ELSE 0.0 END AS totalshippingcost
FROM
(
SELECT ROW_NUMBER() OVER(PARTITION BY ord.orderid ORDER BY ord.orderid, ord.orderdate, odn.productcode) AS row_no, ord.orderid, ord.orderdate, odn.productcode, odn.productname, ord.totalshippingcost
FROM OrderNew AS ord
INNER JOIN order_detailsnew AS odn ON odn.orderid = ord.orderid
) ord
ORDER BY ord.orderid, ord.orderdate, ord.productcode
Results match perfectly.
Edit for user580950, to insert nulls into every second row:
You change the first SELECT line to be:
SELECT CASE D.N WHEN 1 THEN ord.orderid END AS orderid, ...
And you chance the ORDER BY line to be:
CROSS JOIN (SELECT 1 UNION ALL SELECT 2) AS D(N)
ORDER BY ord.orderid, ord.orderdate, ord.productcode, D.N
But as the comments say said in your other question SQL Query Add an Alternate Blank Records, this is something that you should be doing at your presentation layer and not in the database.

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