i have one task in which i have to match some attributes(required for creating a new databse) with the exiting database, are these attributes present in exisisting database, if yes how many , and how many are not,pls do reply
View 3 Replieshi
there is a problem when i insert data into tables in data base from textbox, spaces are added to the string so when i write the same data again in another textbox to retrive the data from the table there is a conflict happened
any one can help me to solve this problem
more explaination:
i use 2 textboxes to register a user as member in web site one is user name and the other is password and save the inserted data in my database
but when i make login in the same registerd username and password a conflict happened because the both user name and password in data base stored with spaces after there's string in database.
I get the following error when I run a job created by a maintenance plan that
runs a database backup.
[2] Database OurData: Database Backup...
The backup was not performed since data verification errors were found.
Any input on how to correct this is appreciated.
Thanks
I am thinking about moving some backups from the local machine to a remote server. Right now, I am using Ola Hallengren script for backups. The script performs checksum on the backup while it's being written on the disk. I am going to move the files using Robocopy utility. How do I check the data integrity once the backups are transferred to the remote server?
View 5 Replies View RelatedBasically without going into too much detail, our company gets databases arriving and put onto our systems which have been made my other organizations with no guarantee of what the primary key is or if this is one at all.
I should probably give my main problem in an example for clarity:
Currently I have a .csv file full of data that needs to be put into say TableA. However I do not know if TableA has a primary key or not, or if the file that needs to be inserted into TableA contains duplicate data. I have the importer sorted that does this if you ignore the problem of duplicate data, however what I would like is an MS SQL query that does the following (but I cannot figure it out):
Assuming we are reading through the file line-by-line and a check is performed each time:
1.If there is a line with a primary key in the file that matches a primary key in TableA in the database update that row in the database with the line in the file.
2. If there is no primary key on the table and there is an exact data match between the line in the file and a row in the database then update it.
3. If neither 1 or 2 are successful then just insert the data.
Obviously the potential lack of a PK here makes things a lot more convoluted.
Hi All,
I would like to match two sets of data. I have setup a view of data that contains a group of customers and their details. I want to view this data, but also find these customers in another table based on matching their surname and date of birth, then retreive the information stored on these customers from the second table.
Does anyone have any suggestions how i would go about doing this?
Thanks in advance
Humate
quote:Originally posted by Michael Valentine Jones
It takes real skill to produce something good out of a giant mess.
Hi All
I have a strange request that might not be possible based on the laws of relational databases but I thought I'd give it a try.
I have three tables which for simplicity I will call A, B and C. Table A contains my master records, Table B contains user details and the final table contains some extra data
In my initial search when joining A and B, I return 100 records. I then need to search in table C for these 100 records based on a criteria. the expected result should return all 100 rows for the ones that match and also the ones that do not match. The problem is that in Table C, not all the 100 IDs exist, so there will not be a corresponding record. Unfortunately, our users still want to see all 100 records in the output. Is this possible
As always any help or direction would be appreciated.
I have two tables - one with sales and another with payments against those. The payment may not match the exact amount of sales and I have to use FIFO method to apply payments. The payment month must >= sales month.
How can i write a query to do this? Examples are as below.
Table 1
Sales Sale DateSale Amt
1Jun-141200
2Oct-142400
3Dec-14600
4Feb-1512000
Table 2
Pay Month Pay YearPay Amount
5 2014 300
6 2014 1000
10 2014 500
11 2014 2000
12 2014 300
1 2015 900
create table tbl1
(
saleNo int
,saleDate date
,saleAmt float
)
insert into tbl1 (saleNo, saleDate, saleAmt)
[Code] ....
I have a report in which I have a sub-report linked to the main report by a parameter. When there is no data for the sub-report, no data displays on the main report as expected.
Now the users are asking if there is no data in the sub-report if I can instead have "None" printed on the main report. I tried adding a label to the sub-report, but since none of the data from the main report links to the sub-report, nothing is still displayed. I then put a label on the Main report and placed it behind (set to back) on the main report. This works great when there is no data, but if there is data the label still prints and the report looks awful.
I cannot think of a way to accomplish what they have asked for.
Any ideas?
Thank you,
T.J.
I have been assigned to write a report that queries 3 tables. Table Store, Store_ID unique index, Cust table Cust_ID non unique index, CUST_Store_ID relates to Store Table, Table Emp, Emp_ID non unique index, Emp_Store_ID relates to Store Table
The problem is that the Employes and the customer don't relate to each other in any way. There can be stores with no Employees and there can be stores with no Customers. There are employees and customers listed multiple times in thier respective tables, and the multiple listings need to show on the report. A result set may look like this.
Store | Emp | Cust
1|1|
2|2|1
2|2|2
2| |3
2| |4
3| |5
3| |5
4|3|6
4|3|7
4|3|7
4|3|8
4|3|
4|3|
I tried a full join, but ended up with this:
Store ID ~~~~~Emp~~~~~Cust
OHCOL-811C ~~~~~10498500|OHCOL-811C|00151.00|448097821|SL0005 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00152.00|448097821|SL0006 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00153.00|448097821|SL0007 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00154.00|448097821|SL9827 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00155.00|448097821|SL0150 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00151.00|448097821|SL0005 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
OHCOL-811C ~~~~~10498500|OHCOL-811C|00152.00|448097821|SL0006 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
OHCOL-811C ~~~~~10498500|OHCOL-811C|00153.00|448097821|SL0007 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
OHCOL-811C ~~~~~10498500|OHCOL-811C|00154.00|448097821|SL9827 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
OHCOL-811C ~~~~~10498500|OHCOL-811C|00155.00|448097821|SL0150 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
As you can see Cust is being duplicated for each Emp. The actual result set should look like this.
Store ID ~~~~~Emp~~~~~Cust
OHCOL-811C ~~~~~10498500|OHCOL-811C|00151.00|448097821|SL0005 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146921092
OHCOL-811C ~~~~~10498500|OHCOL-811C|00152.00|448097821|SL0006 ~~~~~448097821| | | |N|AD-TSUACE |SPKG |146876651
OHCOL-811C ~~~~~10498500|OHCOL-811C|00153.00|448097821|SL0007 ~~~~~NULL
OHCOL-811C ~~~~~10498500|OHCOL-811C|00154.00|448097821|SL9827 ~~~~~NULL
OHCOL-811C ~~~~~10498500|OHCOL-811C|00155.00|448097821|SL0150 ~~~~~NULL
I have a report with 5 tables. After I've generated the report using sql how do I verify if it is right or not?
Thanks.
I have a table that stores part numbers and manufactuers. Somehow this table has become corrupt showing different manufacturers with the same part numbers.
I know this will take a bit of manual digging to fix, but I want to find a way to pull all rows that have the same part number that have different manufacturers, or just pull up any "duplicate" part numbers and I can determine what is right or wrong as far as the manufactuers and make those changes.
I have tried this, but it does not seem to want to work.
Code:
Select * from my_table
Where partnumber = (select partnumber from my_table) and compName <> (select compName from my_table)
I have tried other variations of the same, but nothing seems to want to show me just the items that have the same part numnbers and different manufacturers. I do not care if there are duplicates of the same part number/manufacturer entries, just if the part number is duplicated where the manufacturers are not the same.
These are the rows I want to edit and group by part number. I have almost a million rows of entries and this is not something I want to go through row by row. :-P
Any ideas?
I've been matching some incoming contacts to existing contacts in a database and need to update, insert, or rematch based on the ifs below.
If name, phone, and email all provided for both, then use the highest Source. So if the Contact has a Source value of 5 and SourceContact has a ContactSource of 1, update Contact with SourceContact
If name, phone and email all provided, and source the same then update to new values.
If name and phone on SourceContact and name and Email on Contact then reset Contact_fk to -1 should not have matched, but should be an insert
If name and email on SourceContact and name and phone on Contact then reset Contact_fk to -1 should not have matched, but should be an insert
If name and phone on SourceContact and name and/or Phone is blank in Contact then update
If name and email on SourceContact and name and/or email is blank in Contact then update
If phone numbers can be different, just update record to SourceContact if it has a same or higher ContactSource
If email address do not match then set SourceContacts to -1 Contact_fk it was computed incorrectly. Both have a non blank email
If Contact_fk is 0 then it is a new contact and just insert it.
IF OBJECT_ID('dbo.SourceContact', 'U') IS NOT NULL DROP TABLE [dbo].[SourceContact];
CREATE TABLE [dbo].[SourceContact]
(
[SourceContact_pk]INT IDENTITY(1,1) NOT NULL CONSTRAINT PK_SourceContact PRIMARY KEY CLUSTERED,
[ContactLastName] VARCHAR(30) NOT NULL CONSTRAINT DF_SourceContact_ContactLastName DEFAULT (''),
[ContactFirstName] VARCHAR(30) NOT NULL CONSTRAINT DF_SourceContact_ContactFirstName DEFAULT (''),
[code]....
Hi All
Microsoft released an introductory tutorial for data mining in September 2007, and I was attempting to match the results on:
http://msdn2.microsoft.com/en-us/library/ms169911.aspx
I was not able to match the results, so then I went "under the hood" for the tables, and discovered that my copy of AdventureWorksDW has truncated values in the Education field of the ProspectiveBuyer table. I had wanted to connect "EnglishEducation" from the Mining Model to "Education" in the "Input Table" to see if the additional linkage would affect the prediction results (the wizard does not automatically link these fields because they technically do not have the same name).
1) Is everybody's "Education" field in the "Prospective Buyers" table populated with truncated values? (which may be intentional since it is a sample dataset) -- compare to "EnglishEducation" field in the vTargetMail table
2) Am I the only one getting 0.50580 for all rows when I use "Decision Tree" (per the tutorial instructions)? By contrast, I was able to see a variance in expression values for clustering and naive Bayes.
My guess: everybody has a truncated "Education" field, and there is something different in how the data mining model was run under the Decision Tree option to yield the tutorial's numerical results for "expression".
Problem:
I am working on a price comparison system which matches the best prices for a purchase (or an order) from exisiting purchase data.
The order is stored in multiple tables including order details (stores major items purchased: e.g., PC) and order sub-details (optional items purchased with the major items: e.g., speakers, backup device, webcam etc.).
There could be a number of major items in an order and each major item could have multiple related sub items. The other variables that affect the price include trade-ins if any, sales going on at the time of order, number of units etc.
Now, for any new configuration (major items/related sub items), the system should be able to return a list of previous purchases made with similar configurations, and similar variables (quatities, trade-ins etc). Even if the same model is not present, similar pcs by the same vendor should be considered. etc etc.
Questions:
Is this possible using Data mining?
If yes, which algorithm is recommended?
Also, can I assign/modify any kind of weights to certain variables (if same model: .6 ; if same model not available but pcs made by same manufacturer available: .3 ; by other manufacturers: .1)?
Any help will be greatly appreciated.
Thanks,
Jojy
How is it possible to use sql to verify F: drive is on disk 0 ?
Thanks
Hi
I already have some junk data in my tables , need to check if the email id entered makes sense or not
Want to check whther there is only 1 @ character or more...etc
Thanks
Kid
Hello, it wanted to know since I can do so that enla ejecucuion of the package is verified if the archives of origins of excel exist, in the case that do not exist not to execute their flow thanks
View 2 Replies View RelatedI connected to the mirror server and the database is in restoring mode, which I believe means I can't query it. I found the Database Mirroring Monitor but it shows the same thing that Management Studio shows, which is Synchronized.
Do I just have to trust that Synchronized means everything is working?
I was hoping there was a way to look at the tables and verify that changes were taking place without performing a manual failover
Thanks in Advance for your help
Casey Smith
caseys@nhcolorado.com
I have a table ("MyData") with string columns that have nvarchar data that looks like this:
ColA
--------
42/90
78/109
I plan to do a mathematical grouping on the numerator (eg: 0-10,11-20,21-30, etc... ), So I need to grab the numerator and turn it into an int. For reasons I can't get into, I have to do this in pure T-SQL.
So my question: How would I write a select statement that regex pattern matches "^([0-9]+)/" on ColA and returns integers instead of text?
E.g. THis Query:
SELECT [magic t-sql syntax] as Converted_ColA from MyData
should return this set of int values:
42
78
I'm importing floor machine data from SQL7 into SQL2005 using SSIS. I import the SQL7 data into a SQL2005 master table and then attempt to match the import data with the data in a current table for either update or insert of new machines. The SQL2005 master table was imported from a SQL2000 database. When I run the first Lookup import, it does not recognize the PK matches between the SQL7 import and SQL2005 master and imports all the SQL7 as new machines. The first Lookup branches to a second lookup that checks for changes in the SQL2005 master. When I run the package a second time, the second Lookup treats all the records as updates when it gets to the second Lookup, but should treat these as found. Any suggestions as to why this process is not working properly would be appreciated. Is there a way I can embed a picture of the process from SSIS in this post? Thanks
View 3 Replies View RelatedHello
I Just installed Reporting Services 2005 and I have a problem to make work
After installing it and setting different properties in the Reporting Services Configuration Manager, When it comes to verifying the installation, http://localhost/ReportServer or http://localhost/Reports pops up a Login Window, Where I enter Windows Account Username/Password, but this windows pops up again 3 times then I get Error page with the message:
HTTP 401.1 - Unauthorized: Logon Failed
Internet Information Services
SQL Server 2005 with SP2 is installed on WinXP SP2
What could be the reason?
Our division has approximately 300 employees. We have an annual shift bid where seniority is calculated using Date of Hire. If 2 or more employees share the same Date of Hire then we fall back to Date of Application. Currently the SSRS report does a very simple query and shows all the employees in order of their Date of Hire. If they match then it sorts the matching Date of Hire entries alphabetically by the employee name. It then becomes the task of the scheduler to locatethe entries with the same Date of Hire and manually look up the employees' dates of applications then sort them accordingly and re-write the report.
Goal:
Convert the manual process into an automatic process by modifying the current SSRS report.
Data:
The dataset is "DivDir" which contains the following fields: "EmpName", "DofHire", & "AppDate".
EmpName DofHire AppDate
Adam ...... 12/2/1996 11/15/1996
Bob ..... .... 1/16/1997 12/27/1996
Charlie ....... 1/16/1997 12/12/1996
Dan ...... ... 4/11/2001 3/22/2001
In the above example I want the SSRS report to list the employees in this order: Adam, Charlie, Bob, Dan.How do I do this programmatically using SSRS?
differences betwee DBCC CHECKDB and page verifacation. The best practices indicate you should run DBCC CHECKDB regularly and set page verifacation to CHECKSUM. Both seem to be linked to identifying database corruption? Are they checking for the same thing? Or are they serving different purposes?
View 3 Replies View RelatedI have a MySql Database i need to extract data from based on matching info in a local SQL Server database,
I will ultimately need to cycle through 20 of these MySql databases , but the query below is taking 1 minute and 20 plus seconds...Just for one..
Is there a simple tweak that would speed it up?
USE [CAS]
GO
DECLARE @PhoneDB varchar(max),
@SQL NVARCHAR(MAX);
set @PhoneDB = '[PHONEDB_PHI]';
set @SQL = 'SELECT
[Code]....
After the installer has asked for authentication mode and has started verifying the authentication it simply hangs. I've let it sit there for an hour before taking the installer forcibly down but nothing seems to be happening except for two osql.exe processes showing up in the task manager.
I've tried both windows authentication and SQL server authentication but the outcome is always the same. At the same time I'm, however, able to login to the database engine and all services with management studio using both authentication modes.
The last few lines in HotFix.log are as follows:
05/09/2006 09:49:09.999 Authenticating user using Windows Authentication
05/09/2006 09:49:10.015 SQL Service MSSQLServer was previously running, ready for authentication
05/09/2006 09:49:10.218 SQL Agent Service SQLSERVERAGENT was previously running
05/09/2006 09:49:12.093 User authentication was successful
This would indicate that there's nothing wrong with the authentication but with whatever is supposed to take place after that.
There are quite a few lines in the log similar to the one below:
05/09/2006 09:47:08.438 Failed to read associated hotfix build information for the following file: C:Program FilesMicrosoft SQL ServerMSSQL.2MSSQLBinnSQLServr.exe
Redist9_Hotfix_KB913090.log seems to be the only individual log file that ends with line saying "Hotfix package launched" whereas all other logs have several lines of checks being completed successfully.
Any ideas what might be causing the installer to hang and how to fix it?
I have a temp table like this
CREATE TABLE #Temp
(
ID int,
Source varchar(50),
Date datetime,
CID varchar(50),
Segments int,
Air_Date datetime,
[code]....
Getting Error
Msg 102, Level 15, State 1, Procedure PublishToDestination, Line 34 Incorrect syntax near 'd'.
I need to be able to create completely random and unique keys for a key verification system, which would require a user to enter a pre-defined key in order to activate their account, but I need to be able to create those keys on the fly.
This is going to be a key that will be mailed to them on paper, and unfortunately means it needs to be relatively short in order to prevent too much confusion while they are typing it in.
I like the newID() function in SQL, but the ID that it creates is a bit excessive to say the least for someone to have to type when registerring.
I use C#, so I wouldn't have much of a problem creating a small app to create x number of keys, which will sit in the DB until I need them, but I would rather not have to fill the DB with a million or so ID's which might never be used, and don't want to create too little that I have to track when I might need to add more, in case I start to run low on ID's.
Re-using ID's may be an option, but I would prefer to keep them intact for the life of the accounts.
If there is something that I can do to simulate the newID() function, but generate unique/random ID's which look more like this: A97-2C5-77D than this: A972C577-DFB0-064E-1189-0154C99310DAAC12 I would be very grateful to know about it.
Thanks!
Okay I've posted something like this in another area but it doesn't seem to be focused towards the right people. I need ya'll SQL experts!
I have a database table that has 5 columns: Time Status Message Source IP
The Status column has only two choices "up" or "down"
I'm looking for some kind of advanced query that will do the following:
I need the query in my application to pull the table and then match up IP, Status, and Message columns. It should only find One match and then once it has found a match it needs to recognize that one is an "up" status and one is a "down" status and then remove them from the database.
Does that make sense? Is it impossible?
Hi,
This is a where clause I am using in a search.
WHERE (ADDRESS_STREET LIKE '%' + @Search + '%' )
I am trying to do a search which returns the most matching record. For example if I have a record with Denver as text . If I search for Denvr the spell error is intended , I will not get the result. How can I create a stored procedure to counter probable spelling errors and return matching results in a ranked order.
Thanks
HI,
say I have a list from an sql statement (results list)
this list contains 10 items
In another table, in one particular column - there is a match for one of these items from the initial list.
SO... this may be the list
_____________________
itemnumber
1
2
3
4
5
6
7
8
9
10
------------------------------
in the other table there is a match...
but just for one item on that list.
____________________
othertablefield
11
13
14
3 <------ match
99
78
----------------------------
How do I find that match with my sql statement?
Dear all,
I have two table, both table have a col which stored the data in CSV format, ie "ab , bc, de", etc
I would like to select the item where "any one item" in first table is same as "any one item" on second table.
I have alread have the private CSV function which can convert the string and return as table. However, I find i cannot do it like this select ..... where dbo.CSVfunction(tableA.colA)
Thx//CSV functiondeclare @separator char(1) set @separator = ','
declare @separator_position int declare @array_value varchar(1000) set @array = @array + ',' while patindex('%,%' , @array) <> 0 begin select @separator_position = patindex('%,%' , @array) select @array_value = left(@array, @separator_position - 1) select @array_value = RTrim(@array_value) select @array_value = LTrim(@array_value) Insert @StringTable Values (Cast(@array_value as varchar(50)))
select @array = stuff(@array, 1, @separator_position, '') endre @separator char(1) set @separator = ','
declare @separator_position int declare @array_value varchar(1000) set @array = @array + ',' while patindex('%,%' , @array) <> 0 begin select @separator_position = patindex('%,%' , @array) select @array_value = left(@array, @separator_position - 1) select @array_value = RTrim(@array_value) select @array_value = LTrim(@array_value) Insert @StringTable Values (Cast(@array_value as varchar(50)))
select @array = stuff(@array, 1, @separator_position, '') end
My company is going to start a Cancel web site so customers can cancel their future orders by simply filling out a form. I was wondering what would be the best way to compare the cancel db to db that is used to store customer information and order information.
The cancel website will only hold the name, address, and Credit Card Number used. There will not be a customer/order number. The simple Credit Card to Credit Card search will be easy but I was more worried about comparing the rest of the information in case the Credit Card search fail. I was told the "standard" look up was to take the first 3 letters of the first name and the last 3 letters of the last name. If that comes up with more then one record, take that set and see if the zip code matches up and/or part of the street address matches up (counting we do not have very reliable people inputting the information into the system is not going to help this search).
Anyway, any suggestions on comparing the data would be great.
Thanks ahead of time