Our database stores vehicle data in one table, but 3 different types of data are stored in the one table. The table contains all the columns for all 3 types so when you query the table you get at least 3 rows back with null values for all the columns that don't apply to that record. The data is imported to the table when it's updates so there's a possibility that they're updated at different times so they have a different BATCH like:
BATCH TYPE ID RATING INSURANCE SAFETY
300 SAFE 123 NULL NULL A
300 INS 123 NULL YES NULL
250 RATE 123 A NULL NULL
What I'd like returned is:
ID, RATING, INSURANCE, SAFETY
123 A YES A
I'm trying to do a case statement to pull the data down, but I keep ending up with multiple rows because of all the nulls. I tried doing a SUM of the case statement with an ISNULL(SAFETY,0) but I can't SUM char values. I can probably do this with 3 temp tables to load the data that I want for each TYPE into them and then select and join them together, but is there a better way to do this?
To make the long story short, we have a situation where there can be different datatypes for a column. For example, 'AttributeValue' can be a datetime, int, float etc. My DBA is suggesting the following design,
For any AttributeId, only one of the value columns will have a value and the rest will be NULLs. I feel that this is a bad design. (FYI, We decided against SQLVariant for specific reasons). I have suggested, we create a seperate table for each datatype, like
tblAttribute: AttributeId, AttributeDataTypeId
tblAttributeValueFloat: AttributeId INT, AttributeValue FLOAT tblAttibuteValueDateTime: AttributeId INT, AttributeValue DATETIME etc for each datatype.
Depending on the AttributeDataTypeId in the Attribute table go to the specific table and pick up the value. This way, we don't need to have too many NULLs in a row. Which of the 2 do you think is a better design? And if you agree with me, what would be the points to support it.
We are developing customer support application. We will have so many customers after launching this product. But my problem is how will i store data of all these customers in SQL Server. Please suggest me.
I'm inserting data from a c# webservice into a table via a stored procedure, but I get a Column does not allow nulls on the @alert_id column/field. It is set as int and allow nulls is not ticked.
Here's the sql:
USE [aren] GO SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [aren1002].[ArenAlertInsert]
I am trying to find a reference for a client that lists the fields available to be substituted into a data driven subscription from the query, along with the expected data types.  For example, the field on whether or not to include a link to the report seems to be expecting a bit data type.I have searched and can't seem to find anything.  I guess I could walk through the interface and try different data types, but if  a list exists, that would be better.Â
I´m exporting an ms-excel file, then I use a lookup transformation to get a field from a SQL Server 2005 table. The Lookup transformation editor, after selecting the table, shows a warning that says:
at least one mapping between a column from available input columns ans a column from available lookup columns must be defined on the columns page.
So I try to make a relationship in the Lookup transformation editor's column tab where I find the Available input columns and the available lookup columns but I get the following error:
The following columns cannot be mapped: [Department, DEP_CLEGALCODE] One or more columns do not have supported data types, or their data types do not match.
The field in SLQ Server is varchar(10) and the input field is a derived column transformation; I have tried different Data Types but I always have the same error.
The DataFlow is: ExcelSource --> Derived Column --> Lookup --> Flat file destination
Hi, Can anybody give me some information on Table data types of SQL2K. How and where can it be used. Does it make the queries faster, in case there are many users using ? Please could anybody give me these details, to make me decide whether I can use it or not ?
Hi,Can anybody tell me if it is possible to return a table data type (asopposed to a temporary table) from a stored procedure.I am currently studying for 70-229 using the Thomas Moore book but itdoesn't really make it clear, as the text suggests you can't returnthem but some of his sample questions suggest you can.I can't make it work in Query Analyser so I am assuming that you can'treturn them. Is that correct?Thanks in advance for any help,Simon.
Is it possible to easily copy data from one table to another if the data types don't match. I know you can do a INSERT INTO table1(col1,col2) SELECT (col2,col7) FROM table2 if the data types match but is there a way to do this if they don't. I'm not trying to copy date times into bit fields or anything. I just have an old table that I built when I really didn't know what I was doing now I at leastthink I have a better understanding of what data types to use, so I was wanting to move the data in the orignal table to my new one. Most of the fields in the olddatabase are text datatypes and the new database is nvarchar(50) data types. Thanks for any suggestions.
This question is around how we can get the data types and lengths populated into the flat file source columns.
In Connection Manager, you have your flat file defined. You can choose "Suggest Types...", and the minimum lengths and correct data types will be returned from within the data in the flat file.
Is there some way to automate this data type definition, but coming from the other direction (coming from the destination table that we are loading)?
For example, you have mapped the columns that will be loaded. Can you then reverse engineer the data types and lengths for the columns in the flat file from the destination table?
I am trying to produce a matrix (crosstab) report in SQL Server 2005 Reporting Services Report Designer, where the column headers contain a binary data type storing a png image.
By just simply using the report wizard and assigning the binary (image) data value to the column headers, and then previewing the report, I get following error:
An error occurred during local report processing.An error has occurred during report processing.The Group expression used in grouping 'matrix1_COMPETITOR_EMBLEM' returned a data type that is not valid.
Is there any way to include binary data types, or images per se from the database into a matrix or even table item in a report ?
I have a table with a datetime field 'TheDate'. Currently dates are stored as 'mm-dd-yyyy 00:00:00'. Is there a way to get just the month, day and year parts, '01/01/2008' into the field without changing the field data type to varchar? I'm asking because when I do this:
update TheTable set TheDate = substring(convert(varchar,TheDate,101),1,10)
I'm still getting a date in the format 'mm-dd-yyyy 00:00:00' stored in the table. I'd like to be able to lose the time portion, but I'd like to be able to keep the datetime datatype for date math purposes. Can it be done?
I have a indexing problem. I have a sequence that needs to has a index number. I want to use a table data type and have a working sample BUT I cannot reseed the table when needed. How do I do this.
This works only for the first ExitCoilID then I need to RESEED.
I am trying to create a clustered index on a View of a table that has an xml datatype. This indexing ran for two days and still did not complete. I tried to leave it running while continuing to use the database, but the SELECT statements where executing too slowly and the DML statements where Timing out. I there a way to control the server/cpu resources used by an indexing process. How can I determine the completion percentage or the indexing process. How can I make indexing the view with the xml data type take less time?
I have 3 columns that I'd like to set as a key, however I do have multiple instances of NULLs for all 3 columns. Thus when I try to create the key, it stops because there are multiple instances of NULLs. I looked at using procedure that check each entry made into the table, but I couldn't figure out how to deny an INSERT/UPDATE request. Anyone have any better methods of implimenting the unique key?
Hi, I have a non-cluster index on the filed, I need to make it non-cluster index and unique which allows multiple nulls, how should I do this with an sql statement?
I am facing a problem in writing the stored procedure for multiple search criteria.
I am trying to write the query in the Procedure as follows
Select * from Car where Price=@Price1 or Price=@price2 or Price=@price=3 and where Manufacture=@Manufacture1 or Manufacture=@Manufacture2 or Manufacture=@Manufacture3 and where Model=@Model1 or Model=@Model2 or Model=@Model3 and where City=@City1 or City=@City2 or City=@City3
I am Not sure of the query but am trying to get the list of cars that are to be filtered based on the user input.
I want to join 2 tables by a unique ID field, but the ID field also hasmultiple NULLS which I do not want to ignore and I fear they will causeduplication.Using TableA and TableB below i will demonstrate the problem.TableATableA.ID Field1 Field21 Paul 1Null John 12 John 1TableBTableB.ID Field3 Field41 25 1Null 32 1Null 23 12 26 1The Table I want isTableA.ID TableB.ID Field1 Field2 Field3 Field41 1 Paul 1 25 12 2 John 1 26 1Null Null John 1 Null NullNull Null Null Null 32 1Null Null Null Null 26 1I think a select distcinct statement with a full outer join may do whatI want, but I'm not certain so want to check.Regards,Ciarán
I'm trying to unpivot a table in SSIS: The pivoted table basically looks like
ID DATE1 TEXT1 DATE2 TEXT2
----------------------------------
ID1 D1 T1 D2 T2
...
The unpivoted result looks like
ID DATE TEXT
-------------------
ID1 D1 T1
ID1 D2 T2
€¦
It works, but the one problem I am facing is: If D1 IS NULL in the pivoted table then D1 in the unpivoted table contains some strange value that is neither NULL nor a valid datetime. In a data viewer I get the in the DATE field "Fehler: Die Parameter Year, Month and Day beschreiben eine nicht darstellbare Datetime." (i. e. "Error: The parameters Year, Month and Day form an invalid datetime."). The loading of the OLE DB target yields an error because the DATE value cannot be converted to a valid datetime.
Since most use SQL server, I thought I would post the question here.Is it possible, or is there a product or DBMS that enforces referential integrity across multiple databases and database types? Such as SQL Server, Oracle, etc...Thanks,Zath
I am trying to display a report from a bug tracker that shows the number of issues logged per month, per year and how many issues have been closed in that month. I have no difficulty displaying the number of issues that have been logged within a particular months, but when I need to display the number of issues closed - I get stuck. I am calling from one table 'bugs', which contains date_reported, status_id. I can do a count on the number of bugs between certain dates but I cannot list the number of closed issues in that exact time. I get the feeling I need a select statement within a select statement? If anyone can help. Thanks
I have a text file to import where there are three file types: a header which has info about who sent the file and begins with 'H', detail records that begins with D and a trailer record that begins with T and just has the record count following that. The fields are delimited by '*'. H, D and T records each contain a different number of fields. I suspect that what I should do is to split this file into three separate files. I tried to do this with SSIS but ran into problems. If I make the output a file destination, it won't let me use that output as input for the next process. There are no arrows I can grab onto to link to the next transform.
This is my first SSIS package although I made hundreds of DTS packages a few years ago. I can't figure this out in DTS either.
This sounds like it should be an EASY thing to do.
Each 01 record type has the records after it associated to it until the next 01 appears, so TestStuff would have TestStuff 2,3 related to it while TestStuff 4,5 belong together. In the example the 888 in the 01 record is the key to the group, but it does not appear in the following lines.
The problem is that each record type has different line formats, columns, etc, so they must be parsed differently. I have created a conditional branch on the first two characters, and written each record type out to a seperate flat file for that type, so that they can be imported again and parsed with the Flat File Source, but I am unsure how to relate them again. I tried appending the 888 to the other lines before they were written out, but I can't find a way to share the variable across the conditional split branches using a script component.
Does anyone have an idea how I could parse these files and keep the relationship intact?
Is there a way to tell the flat file wizard to use a different map based on certain characters?
Is there a way to share a variable across the different braches of a conditional split.
I have a table called ADSCHL which contains the school_code as Primary key and other two table as
RGDEGR(common field as SCHOOl_code) and RGENRl( Original_school_code) which are refrencing the ADSCHL. if a school_code will be updated both the table RGDEGR (school_code) and RGERNL ( original_schoolcode) has to be updated as well. I have been provided a new data that i have imported to SQL server using SSIS with table name as TESTCEP which has a column name school_code. I have been assigned a task to update the old school_code vale ( ADSCHL) with new school_code ( TESTCEP) and make sure the changes happen across all 3 tables.
I tried using Merge Update function not sure if this is going to work.
Update dbo.ADSCHL SET dbo.ADSCHL.SCHOOL_CODE = FD.SCHOOL_Code FROM dbo.ADSCHL AD INNER JOIN TESTCEP FD ON AD.SCHOOL_NAME = FD.School_Name
I'm using SSIS to import seven flat files (each containing a different record type) into a staging database. This part was easy.
Now I need to export the records from all seven tables into a single flat file structured in a nested hierarchy using common keys. (This format is required by the vendor for loading data into a new system).
I could use some ideas on the data transformations needed to combine all seven record types into an hierarchical record set which can then be written to my Flat File Destination. I'm currently looking at an article on SLQIS.com ("Handling Different Row Types In The Same File") which seems close to what I need, but they are importing (ref: www.sqlis.com/54.aspx ). I'm not sure if I should just reverse this for export or use something different. Any comments are appreciated.
The record types B1 through E2 form a complete set. Each set has it's own unique child-set key. There may be one or more sets for each typeA record (although it's possible that typeE records don't exist in the most recent set).
I've seen several posts about reading and writing files that have different record types with varying column metadata. My particular file has 11 record types plus several header types and looks something like:
<Header1>
<Header2>
<Detail01-#1>
<Subdetail02>
<Subdetail03>
...
<Detail01-#2>
<Subdetail02>
<Subdetail03>
...
...
Since i need to get different detail and subdetail records, i can't really use the technique of 3 dest file connection managers found in http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=87269&SiteID=1
I've tried using an exec sql to get the main detail records and then a forech ADO en umerator that would get the subdetails, but it all seems so kludgy. I'm starting to think that I should just write the bulk of the file creation code in a c# app instead of trying to smush this into SSIS. Opinions? Am I missing some trick in SSIS?
When i do a select on my emplee table for rows with null idCompany i dont get any records
I then try to modify the table to not allow a null idCompany and i get this error message:
'Employee (aMgmt)' table - Unable to modify table. Cannot insert the value NULL into column 'idCompany', table 'D2.aMgmt.Tmp_Employee'; column does not allow nulls. INSERT fails. The statement has been terminated.
