I have an interesting SQL problem that I need help with.
Here is the sample dataset:
Warehouse DateStamp TimeStamp ItemNumber ID
A 8/1/2009 10001 abc 1
B 8/1/2009 10002 abc 1
A 8/3/2009 12144 qrs 5
C 8/3/2009 12143 qrs 5
D 8/5/2009 6754 xyz 6
B 8/5/2009 6755 xyz 6
This dataset represents inventory transfers between two warehouses. There are two records that represent each transfer, and these two transfer records always have the same ItemNumber, DateStamp, and ID. The TimeStamp values for the two transfer records always have a difference of 1, where the smaller TimeStamp represents the source warehouse record and the larger TimeStamp represents the destination warehouse record.
Using the sample dataset above, here is the query result set that I need:
Warehouse_Source Warehouse_Destination ItemNumber DateStamp
A B abc 8/1/2009
C A qrs 8/3/2009
D B xyz 8/5/2009
I can write code to produce the desired result set, but I was wondering if this record combination was possible through SQL. I am using SQL Server 2005 as my underlying database. I also need to add a WHERE clause to the SQL, so that for example, I could search on Warehouse_Source = A. And no, I can't change the data model ;).
Any advice is greatly appreciated!
Regards,
Mark
SELECT source.Warehouse as Warehouse_Source
, dest.Warehouse as Warehouse_Destination
, source.ItemNumber
, source.DateStamp
FROM table source
JOIN table dest ON source.ID = dest.ID
AND source.ItemNumber = dest.ItemNumber
AND source.DateStamp = dest.DateStamp
AND source.TimeStamp = dest.TimeStamp + 1
Mark,
Here is how you can do this with row_number and PIVOT. With a clustered index or primary key on the columns as I suggest, it will use a straight-line query plan with no Sort operation, thus be particularly efficient.
create table T(
Warehouse char,
DateStamp datetime,
TimeStamp int,
ItemNumber varchar(10),
ID int,
primary key(ItemNumber,DateStamp,ID,TimeStamp)
);
insert into T values ('A','20090801','10001','abc','1');
insert into T values ('B','20090801','10002','abc','1');
insert into T values ('A','20090803','12144','qrs','5');
insert into T values ('C','20090803','12143','qrs','5');
insert into T values ('D','20090805','6754','xyz','6');
insert into T values ('B','20090805','6755','xyz','6');
with Tpaired(Warehouse,DateStamp,TimeStamp,ItemNumber,ID,rk) as (
select
Warehouse,DateStamp,TimeStamp,ItemNumber,ID,
row_number() over (
partition by ItemNumber,DateStamp,ID
order by TimeStamp
)
from T
)
select
max([1]) as Warehouse_Source,
max([2]) as Warehouse_Destination,
ItemNumber,
DateStamp
from Tpaired
pivot (
max(Warehouse) for rk in ([1],[2])
) as P
group by ItemNumber, DateStamp, ID;
go
drop table T;
Related
Is there any Oracle SQL operator or function, which compares 2 result sets whether they are the exact same or not. Currently my idea is to use MINUS operator in both directions, but I am looking for a better and performanter solution to achieve. The one result set is fixed (see below), the other depends on the records.
Very important: I am not allowed to change the schema and structure. So CREATE TABLE and CREATE TYPE etc. are not allowed here for me. Also important that oracle11g version is used where the solution must be found.
The shema for SQL Fiddle is:
CREATE TABLE DETAILS (ID INT, MAIN_ID INT, VALUE INT);
INSERT INTO DETAILS VALUES (1,1,1);
INSERT INTO DETAILS VALUES (2,1,2);
INSERT INTO DETAILS VALUES (3,1,3);
INSERT INTO DETAILS VALUES (4,1,4);
INSERT INTO DETAILS VALUES (5,2,1);
INSERT INTO DETAILS VALUES (6,2,2);
INSERT INTO DETAILS VALUES (7,3,1);
INSERT INTO DETAILS VALUES (7,3,2);
Now this is my SQL query for doing the job well (selects MAIN_IDs of those, whose 'VALUE's are exactly the same as the given lists'):
SELECT DISTINCT D.MAIN_ID FROM DETAILS D WHERE NOT EXISTS
(SELECT VALUE FROM DETAILS WHERE MAIN_ID=D.MAIN_ID
MINUS
SELECT * FROM TABLE(SYS.ODCINUMBERLIST(1, 2)))
AND NOT EXISTS
(SELECT * FROM TABLE(SYS.ODCINUMBERLIST(1, 2))
MINUS
SELECT VALUE FROM DETAILS WHERE MAIN_ID=D.MAIN_ID)
The SQL Fiddle link: http://sqlfiddle.com/#!4/25dde/7/0
If you use a collection (rather than a VARRAY) then you can aggregate the values into a collection and directly compare two collections:
CREATE TYPE int_list AS TABLE OF INT;
Then:
SELECT main_id
FROM details
GROUP BY main_id
HAVING CAST( COLLECT( value ) AS int_list ) = int_list( 1, 2 );
Outputs:
| MAIN_ID |
| ------: |
| 2 |
| 3 |
db<>fiddle here
Update
Based on your expanded fiddle in comments, you can use:
SELECT B.ID
FROM BUSINESS_DATA B
INNER JOIN BUSINESS_NAME N
ON ( B.NAME_ID=N.ID )
WHERE N.NAME='B1'
AND EXISTS (
SELECT business_id
FROM ORDERS O
LEFT OUTER JOIN TABLE(
SYS.ODCIDATELIST( DATE '2021-01-03', DATE '2020-04-07', DATE '2020-05-07' )
) d
ON ( o.orderdate = d.COLUMN_VALUE )
WHERE O.BUSINESS_ID=B.ID
GROUP BY business_id
HAVING COUNT( CASE WHEN d.COLUMN_VALUE IS NULL THEN 1 END ) = 0
AND COUNT( DISTINCT o.orderdate )
= ( SELECT COUNT(DISTINCT COLUMN_VALUE) FROM TABLE( SYS.ODCIDATELIST( DATE '2021-01-03', DATE '2020-04-07', DATE '2020-05-07' ) ) )
)
(Note: Do not implicitly create dates from strings; it will cause the query to fail, without there being any changes to the query text, if a user changes their NLS_DATE_FORMAT session parameter. Instead use TO_DATE with an appropriate format model or a DATE literal.)
db<>fiddle here
I have a table which needs to have a composite primary key based on 2 columns (Material number, Plant).
For example, this is how it is currently (note that these rows are not unique):
MATERIAL_NUMBER PLANT NUMBER
------------------ ----- ------
000000000000500672 G072 1
000000000000500672 G072 1
000000000000500672 G087 1
000000000000500672 G207 1
000000000000500672 G207 1
However, I'll need to add the additional column (NUMBER) to the composite key such that each row is unique, and it must work like this:
For each MATERIAL_NUMBER, for each PLANT, let NUMBER start at 1 and increment by 1 for each duplicate record.
This would be the desired output:
MATERIAL_NUMBER PLANT NUMBER
------------------ ----- ------
000000000000500672 G072 1
000000000000500672 G072 2
000000000000500672 G087 1
000000000000500672 G207 1
000000000000500672 G207 2
How would I go about achieving this, specifically in SQL Server?
Best Regards!
SOLVED.
See below:
SELECT MATERIAL_NUMBER, PLANT, (ROW_NUMBER() OVER (PARTITION BY MATERIAL_NUMBER, PLANT ORDER BY VALID_FROM)) as NUMBER
FROM Table_Name
Will output the table in question, with the NUMBER column properly defined
Suppose this is actual table,
create table #temp1(MATERIAL_NUMBER varchar(30),PLANT varchar(30), NUMBER int)
Suppose you want to insert only single record then,
declare #Num int
select #Num=isnull(max(number),0) from #temp1 where MATERIAL_NUMBER='000000000000500672' and PLANT='G072'
insert into #temp1 (MATERIAL_NUMBER,PLANT , NUMBER )
values ('000000000000500672','G072',#Num+1)
Suppose you want to insert bulk record.Your bulk record sample data is like
create table #temp11(MATERIAL_NUMBER varchar(30),PLANT varchar(30))
insert into #temp11 (MATERIAL_NUMBER,PLANT)values
('000000000000500672','G072')
,('000000000000500672','G072')
,('000000000000500672','G087')
,('000000000000500672','G207')
,('000000000000500672','G207')
You want to insert `#temp11` in `#temp1` maintaining number id
insert into #temp1 (MATERIAL_NUMBER,PLANT , NUMBER )
select t11.MATERIAL_NUMBER,t11.PLANT
,ROW_NUMBER()over(partition by t11.MATERIAL_NUMBER,t11.PLANT order by (select null))+isnull(maxnum,0) as Number from #temp11 t11
outer apply(select MATERIAL_NUMBER,PLANT,max(NUMBER)maxnum from #temp1 t where t.MATERIAL_NUMBER=t11.MATERIAL_NUMBER
and t.PLANT=t11.PLANT group by MATERIAL_NUMBER,PLANT) t
select * from #temp1
drop table #temp1
drop table #temp11
Main question is Why you need number column ? In mot of the cases you don't need number column,you can use ROW_NUMBER()over(partition by t11.MATERIAL_NUMBER,t11.PLANT order by (select null)) to display where you need. This will be more efficient.
Or tell the actual situation and number of rows involved where you will be needing Number column.
Am working with PostgreSQL 8.0.2, I have table
create table rate_date (id serial, rate_name text);
and it's data is
id rate_name
--------------
1 startRate
2 MidRate
3 xlRate
4 xxlRate
After select it will show data with default order or order by applied to any column of same table. My requirement is I have separate entity from where I will get data as (xlRate, MidRate,startRate,xxlRate) so I want to use this data to sort the select on table rate_data. I have tried for values join but it's not working and no other solution am able to think will work. If any one have idea please share detail.
Output should be
xlRate
MidRate
startRate
xxlRate
my attempt/thinking.
select id, rate_name
from rate_date r
join (
VALUES (1, 'xlRate'),(2, 'MidRate')
) as x(a,b) on x.b = c.rate_name
I am not sure if this is helpful but in Oracle you could achieve that this way:
select *
from
(
select id, rate_name,
case rate_name
when 'xlRate' then 1
when 'MidRate' then 2
when 'startRate' then 3
when 'xxlRate' then 4
else 100
end my_order
from rate_date r
)
order by my_order
May be you can do something like this in PostgreSQL?
I've looked at some answers but none of them seem to be applicable to me.
Basically I have this result set:
RowNo | Id | OrderNo |
1 101 1
2 101 10
I just want to convert this to
| Id | OrderNo_0 | OrderNo_1 |
101 1 10
I know I should probably use PIVOT. But the syntax is just not clear to me.
The order numbers are always two. To make things clearer
And if you want to use PIVOT then the following works with the data provided:
declare #Orders table (RowNo int, Id int, OrderNo int)
insert into #Orders (RowNo, Id, OrderNo)
select 1, 101, 1 union all select 2, 101, 10
select Id, [1] OrderNo_0, [2] OrderNo_1
from (
select RowNo, Id, OrderNo
from #Orders
) SourceTable
pivot (
sum(OrderNo)
for RowNo in ([1],[2])
) as PivotTable
Reference: https://learn.microsoft.com/en-us/sql/t-sql/queries/from-using-pivot-and-unpivot?view=sql-server-2017
Note: To build each row in the result set the pivot function is grouping by the columns not begin pivoted. Therefore you need an aggregate function on the column that is being pivoted. You won't notice it in this instance because you have unique rows to start with - but if you had multiple rows with the RowNo and Id you would then find the aggregation comes into play.
As you say there are only ever two order numbers per ID, you could join the results set to itself on the ID column. For the purposes of the example below, I'm assuming your results set is merely selecting from a single Orders table, but it should be easy enough to replace this with your existing query.
SELECT o1.ID, o1.OrderNo AS [OrderNo_0], o2.OrderNo AS [OrderNo_1]
FROM Orders AS o1
INNER JOIN Orders AS o2
ON (o1.ID = o2.ID AND o1.OrderNo <> o2.OrderNo)
From your sample data, simplest you can try to use min and MAX function.
SELECT Id,min(OrderNo) OrderNo_0,MAX(OrderNo) OrderNo_1
FROM T
GROUP BY Id
i need Add Row Numbers To a SELECT Query without using Row_Number() function.
and without using user defined functions or stored procedures.
Select (obtain the row number) as [Row], field1, field2, fieldn from aTable
UPDATE
i am using SAP B1 DIAPI, to make a query , this system does not allow the use of rownumber() function in the select statement.
Bye.
I'm not sure if this will work for your particular situation or not, but can you execute this query with a stored procedure? If so, you can:
A) Create a temp table with all your normal result columns, plus a Row column as an auto-incremented identity.
B) Select-Insert your original query, sans the row column (SQL will fill this in automatically for you)
C) Select * on the temp table for your result set.
Not the most elegant solution, but will accomplish the row numbering you are wanting.
This query will give you the row_number,
SELECT
(SELECT COUNT(*) FROM #table t2 WHERE t2.field <= t1.field) AS row_number,
field,
otherField
FROM #table t1
but there are some restrictions when you want to use it. You have to have one column in your table (in the example it is field) which is unique and numeric and you can use it as a reference. For example:
DECLARE #table TABLE
(
field INT,
otherField VARCHAR(10)
)
INSERT INTO #table(field,otherField) VALUES (1,'a')
INSERT INTO #table(field,otherField) VALUES (4,'b')
INSERT INTO #table(field,otherField) VALUES (6,'c')
INSERT INTO #table(field,otherField) VALUES (7,'d')
SELECT * FROM #table
returns
field | otherField
------------------
1 | a
4 | b
6 | c
7 | d
and
SELECT
(SELECT COUNT(*) FROM #table t2 WHERE t2.field <= t1.field) AS row_number,
field,
otherField
FROM #table t1
returns
row_number | field | otherField
-------------------------------
1 | 1 | a
2 | 4 | b
3 | 6 | c
4 | 7 | d
This is the solution without functions and stored procedures, but as I said there are the restrictions. But anyway, maybe it is enough for you.
RRUZ, you might be able to hide the use of a function by wrapping your query in a View. It would be transparent to the caller. I don't see any other options, besides the ones already mentioned.