I have Database1 and Database2, i add each of them to a datatable object.
now Database1 is changed through Access, Records maybe added removed or row data might change.
so the database Looks like
+----+----------+-------+-------+
| ID | Name | Price | Sales |
+----+----------+-------+-------+
| 1 | ProductA | 453 | 55 |
| 2 | ProductB | 43 | 156 |
| 3 | ProductC | 22 | 161 |
+----+----------+-------+-------+
so if i Delete the row with Product ID=1 i want it to be deleted in the second Database2
if i add new product with ID = 4 i want it to be Added to Database2, also if i change Price or Sales i want it to change in Database2 for that record.
now the problem is the Database records are not in the same order in both databases so looping might take alot of time..for example if ID=4000 was removed than i've to loop through the whole Database to find this out.
so are thre anyother solutions than alot of loops?
It is possible to refer to another database in SQL run against an MS Access connection:
SELECT t1.*, t2.* FROM Table1 t1
INNER JOIN [;DATABASE=Z:\Docs\Test.accdb].Table1 t2
ON t1.ID=t2.ID
From here, it is easy enough to create queries to find missing or changed records.
If ID is the identifier for the row, then I do not think you can safely do what you are asking.
Given the example above for Table 1
+----+----------+-------+-------+
| ID | Name | Price | Sales |
+----+----------+-------+-------+
| 1 | ProductA | 453 | 55 |
| 2 | ProductB | 43 | 156 |
| 3 | ProductC | 22 | 161 |
+----+----------+-------+-------+
And simulating the out of order condition for Table 2
+----+----------+-------+-------+
| ID | Name | Price | Sales |
+----+----------+-------+-------+
| 1 | ProductB | 43 | 156 |
| 2 | ProductA | 453 | 55 |
| 3 | ProductC | 22 | 161 |
+----+----------+-------+-------+
If you delete ID 2 from table 2, you will end up deleting Product B from Table 1 (not product A). I don't think this is what you want.
Are you sure that ID is the primary key for these values?
Related
I am working on a Store Procedure where I need to update records from from table 1 into table 2.
Table1: contains the following 4 columns
----------------------------------------------
| ID | TableName | ColumnName | Value |
----------------------------------------------
| 1 | [UserDetails] | [FinalScore] | 92 |
| 2 | [UserDetails] | [FinalScore] | 89 |
| 3 | [UserDetails] | [FinalScore] | 65 |
| 4 | [UserDetails] | [FinalScore] | 91 |
| 5 | [UserDetails] | [FinalScore] | 76 |
| 1 |[EmployeeDetail]| [ScoreData] | 0.91 |
----------------------------------------------
UserDetails table
-----------------------------------------------------------
| UserID | UserName | ContactNo | FinalScore |
-----------------------------------------------------------
| 1 | John G | +13288992342 | 0 |
| 2 | Leonard J | +14581232342 | 0 |
| 3 | Max R | +17123992342 | 0 |
| 4 | Robert H | +15688992122 | 0 |
| 5 | Jimmy L | +1328996782 | 0 |
-----------------------------------------------------------
Need to load all the data from table1 into the corresponding destination table for large amount of data (30,000 to 60,000) records.
Table1 contains the ID (from ID Column in table1) and FinalScore (from ColumnName Column in table1) in the destination table (from TableName Column in table1) where the value (from Value Column in table1) needs to be loaded.
End Result of UserDetails table after SP execution :
-----------------------------------------------------------
| UserID | UserName | ContactNo | FinalScore |
-----------------------------------------------------------
| 1 | John G | +13288992342 | 92 |
| 2 | Leonard J | +14581232342 | 89 |
| 3 | Max R | +17123992342 | 65 |
| 4 | Robert H | +15688992122 | 91 |
| 5 | Jimmy L | +1328996782 | 76 |
-----------------------------------------------------------
I am not sure how to load the data from "table1" into destination table (userdetails table) for bulk data as update query in a loop is taking very long time to complete.
It's not pivot what you're after but a simple join:
select
a.userid, a.contactno, b.finalscore
from UserDetails a
join table1 b on a.id = b.id
alternatively, if you want to update the old table without creating a new one, you can update join
SQL update query using joins
I have some troubles with deleting partial duplicate rows
The structure is like this:
+-----+--------+--+-----------+--+------+
| id | userid | | location | | week |
+-----+--------+--+-----------+--+------+
| 1 | 001 | | amsterdam | | 11 |
| 2 | 001 | | amsterdam | | 23 |
| 3 | 002 | | berlin | | 28 |
| 4 | 002 | | berlin | | 22 |
| 5 | 003 | | paris | | 19 |
| 6 | 003 | | paris | | 35 |
+-----+--------+--+-----------+--+------+
I only need to keep one row from each userid, it doesn't matter which week number it has.
Thanks,
Maxcim
This should work across most databases:
DELETE
FROM yourTable
WHERE id <> (SELECT MIN(id)
FROM yourTable t
WHERE t.userid = userid)
This query would delete from each userid group all records except for the record having the lowest id for that group. I assume that id is a unique column.
This method is tested, try it.
We are getting the number of rows occuring at each record, and then we are deleting only the ones with more than 1 row occruring... keeping the original one.
BEGIN TRANSACTION
SELECT UserID, Location,
RN = ROW_NUMBER()OVER(PARTITION BY UserID, Location ORDER BY UserID, Location)
into #test1
FROM dbo.MyTbl
Delete MyTbl
From MyTbll
INNER JOIN #test1
ON #test1.UserID= MyTbl.UserID
WHERE RN > 1
if ##Error <> 0 GOTO Errlbl
Commit Transaction
RETURN
Errlbl:
RollBack Transaction
GO
In SSAS (Tabular model), I have 2 tables.
Student Grade
+-----------+-------+ +----------+--------+---------+
| StudentId | Score | | Title | LowEnd | HighEnd |
+-----------+-------+ +----------+--------+---------+
| 1 | 70 | | Intermed | 60 | 74 |
| 2 | 80 | | Good | 75 | 89 |
| 3 | 92 | | Excelent | 90 | 100 |
+-----------+-------+ +----------+--------+---------+
I want to relate Student table to Grade table, but there is no direct relation (FK), because I want to related tables using the LowEnd and HighEnd value in Grade table
In query representation, my desired join will be this:
select St.StudentId, Gr.Title
from Student St
inner join Grade Gr on St.Score between Gr.LowEnd and Gr.HighEnd
The question is: Is there any way to make such a relation in SSAS?
Hi I have data in sql server
Table : emp
Empid | deptid | doj | loc | Status|guid
1 | 10 | 2013-09-25 | hyd | 5 |10
1 | 10 | 2014-03-25 | che | 5 |11
1 | 10 | 2014-04-09 | pune | 5 |12
1 | 10 | 2015-01-22 | pune | 5 |13
2 | 20 | 2015-12-13 | beng | 5 |14
2 | 20 | 2014-12-17 | chen | 5 |15
2 | 20 | 2010-10-15 | beng | 4 |16
Table : empref
empid | deptid | startdate | status |guid
1 | 10 | 2013-10-02 | 2 |1
1 | 10 | 2014-04-09 | 2 |2
1 | 10 | 2015-12-09 | 1 |3
1 | 10 | 2015-01-30 | 2 |4
2 | 20 | 2015-12-14 | 2 |2
2 | 20 | 2015-12-15 | 2 |3
Both tables have common columns Empid + deptid
We need to consider emp table status=5 related records compare with empref table status=2
related records and emp table doj <= startdate --empref table and days difference between less than or equal to 30 days
If we find multiple records fall within 30 days in empref table startdate then we need to consider min(startdate) corresponding records
and that records need to be considered as update. Remain status values 4 or 1 no need in the return result set at this time.
If emp table status=5 related records compare with empref table status=2
related records and emp table doj <= startdate --empref table and daysdiffernce between less than or equal 30 days
If we find multiple records fall with in 30days in emp table doj then we need to consider min(doj) corresponding records
and that record needs to be considered as update in the filter column and guid information from empref table.
Remaining records considered as insert records in the filter column and guid information from emptable.
if emp table doj <=startdate--empref table condition not satisfied or
daysdiffernce not between less than or equal 30 days then that records we need to consider insert in the filter column
based on above tables I want output like below
Empid | Deptid | loc | Status | Filter | Doj |guid
1 | 10 | hyd | 5 | Update | 2013-09-25|1
1 | 10 | che | 5 | insert | 2014-03-25|11 ------min(startdate) corresponding record
1 | 10 | pune | 5 | update | 2014-04-09|2 --------mul
1 | 10 | Pune | 5 | update | 2015-01-22|4
2 | 20 | beng | 5 | update | 2015-12-13|2 --------------min(doj) record
2 | 20 | chen | 5 | insert | 2014-12-17|15
2 | 20 | beng | 4 | insert | 2010-10-15|16 -----this record not fall the above conditions
I tried like below
select s1.*
,'Update' as Filter from emp e join empref er
on e.empid=er.empid and
e.deptid=t.deptid
and e.status='5'
and er.status='2' and
e.doj<=er.startdate and datediff(dd,er.startdate,e.doj)*-1<=30
group by er.startdate,
e.empid,e.deptid.e.doj,e.loc
having e.startdate= min(er.startdate)
In the above query not given expected result. Please help me write this query to achieve this task in sql server.
It seems like the query you supplied is very close. Here is what I quickly put together. I haven't tested it against a lot of the possible options.
select e.Empid, er.deptid, e.loc, e.[status],
case when DATEDIFF(DAY, e.doj, er.startdate) <= 0 THEN 'INSERT'
ELSE 'UPDATE' END [DaysOffset],
e.doj
FROM #emp e inner join #empref ER
on e.Empid = er.empid and
e.deptid = er.deptid
where e.[status] = 5 and er.[status] = 2
and e.doj <= er.startdate and
DATEDIFF(DAY, e.doj, er.startdate) <= 30
The CASE statement is where it determines when the record is flagged for INSERT or UPDATE. With the datediff in the WHERE clause, it will only return records that are 30 days or less.
This question already has answers here:
Efficiently convert rows to columns in sql server
(5 answers)
Closed 8 years ago.
I'm pretty new to SQL Server so don't really know what I'm doing with this. I have two tables, which might look like this:
table 1
| ID | customer | Date |
| 1 | company1 | 01/08/2014 |
| 2 | company2 | 10/08/2014 |
| 3 | company3 | 25/08/2014 |
table 2
| ID | Status | Days |
| 1 | New | 6 |
| 1 | In Work | 25 |
| 2 | New | 17 |
| 3 | New | 14 |
| 3 | In Work | 72 |
| 3 | Complete | 25 |
What I need to do is join based on the ID, and create new columns to show how long each ID has been in each status. Every time an order goes to a new status, a new line is added and the number of days is counted as in the 2nd table above. What I need to create from this, should look like this:
| ID | customer | Date | New | In Work | Complete |
| 1 | company1 | 01/08/2014 | 6 | 25 | |
| 2 | company2 | 10/08/2014 | 17 | | |
| 3 | company3 | 25/08/2014 | 14 | 72 | 25 |
So what do I need to to to create this?
Thanks for any help, as I say I'm pretty new to this.
I would suggest that AHiggins' link is a better candidate to mark this as a dupe rather than the one that's actually been selected because his link involves a join.
WITH [TimeTable] AS (
SELECT
T1.ID,
T1.[Date],
T2.[Status] AS [Status],
T2.[Days]
FROM
dbo.Table1 T1
INNER JOIN dbo.Table2 T2
ON T2.ID = T1.ID
)
SELECT *
FROM
[TimeTable]
PIVOT (MAX([Days]) FOR [Status] IN ([New], [Complete], [In Work])) TT
;