Just to give background, we have created new SSIS packages to get feeds into SQL Server tables.
To make sure new SSIS packages put data in same manner in which how current live process does, we have written comparison script to compare Live and Test tables which will be executed parallel for a month.
So have i have used EXCEPT command to get the differences and it returns data too which has differences.
Now problem is that, i have around 50 columns and i need to check data of each column and compare with other tables to find out the culprit.
In some cases, i am getting around 40000 rows as a difference and identifying correct columns is too cumbersome.
In most of the cases, it was because of NULL value in Live and blank value in Test. I have done following to identify columns
Limit Number of columns
Look at value for few columns and then change SQL statement to include ISNULL function & so on
This is time consuming.
Is there any good way to get the columns names because of which we are getting difference in rows.
It would be good if i can get better way to handle this.
I'm trying to manipulate a column in SSIS which looks like below after i removed unwanted rows with derived column and conditional split in my data flow task. The source for this is a flatfile.
XXX008001161022061116030S1TVCO3057
XXX008002161022061146015S1PUAG1523
XXX009001161022063116030S1DVLD3002
XXX009002161022063146030S1TVCO3057
XXX009003161022063216015S1PUAG1523
XXX010001161022065059030S1MVMA3020
XXX010002161022065129030S1TVCO3057
XXX01000316102206515901551PPE01504
The first three numbers from the left (starting with "008" first row) represent a series, and the next three ("001") represent another number within the series. what i need is to change all of the first three numbers starting from "001" to the end.
The desired reslut would thus look like:
XXX001001161022061116030S1TVCO3057
XXX001002161022061146015S1PUAG1523
XXX002001161022063116030S1DVLD3002
XXX002002161022063146030S1TVCO3057
XXX002003161022063216015S1PUAG1523
XXX003001161022065059030S1MVMA3020
XXX003002161022065129030S1TVCO3057
XXX00300316102206515901551PPE01504
...
My potential solution would be to load the file to a temporary database table and query it with SQL from there, but i am trying to avoid this.
The final destination is a flatfile.
Does anybody have any ideas how to pull this off in SSIS? Other solutions are appreciated also.
Thanks in advance
I would definitely use the staging table approach and use windows functions to accomplish this. I could see a use case if SSIS was on another machine than the database engine and there was a need to offload the processing to the SSIS box.
In that case I would create a script transformation. You can process each row and make the necessary changes before passing the row to the output. You can use C# or VB.
There are many examples out there. Here is MSDN article - https://msdn.microsoft.com/en-us/library/ms136114.aspx
I am trying to import data from database access file into SQL server. To do that, I have created SSIS package through SQL Server Import/Export wizard. All tables have passed validation when I execute package through execute package utility with "validate without execution" option checked. However, during the execution I received the following chunk of errors (using a picture, since blockquote uses a lot of space):
Upon the investigation, I found exactly the table and the column, which was causing the problem. However, this is problem I have been trying to solve for a couple days now, and I'm running dry on possible options.
Structure of the troubled table column
As noted from the error list, the trouble occurs in RHF Repairs table on the Date Returned column. In Access, the column in question is Date/Time type. Inside the actual table, all inputs are in a form of 'mmddyy', which when clicked upon, turn into 'mm/dd/yyyy' format:
In SSIS package, it created OLEDB Source/Destination relationship like following:
Inside this relationship, in both output columns and external columns data type is DT_DATE (I still think it is a key cause of my problems). What bugs me the most is that the adjacent to Date Returned column is exactly the same as what I described above, and none of the errors applied to it or any other columns of the same type, Date Returned is literally the only black sheep in the flock.
What have I tried
I have tried every option from the following thread, the error remains the same.
I tried Data conversion option, trying to convert this column into datestamp or even unicode string. It didn't work.
I tried to specify data type with the advanced source editor to both datestamp/unicode string. I tried specifying it only in output columns, tried in both external and output columns, same result.
Plowing through the data in access table also did not give me anything. All of them use the same 6-char formatting through it all.
At this point, I literally exhausted all options I could think of. Can you please point me in the right direction on what else I could possibly try to resolve it, since it drives me nuts for last two days.
PS: On my end, I will plow through each row individually, while not trying to get discouraged by the fact that there are 4000+ row entries...
UPDATE:
I resolved this matter by plowing through data. There were 3 faulty entries among 4000+ rows... Since the issue was resolved in a manner unlikely to help others, please close that question.
It sounds to me like you have one or more bad dates in the column. With 4,000 rows, I actually would visually scan and look for something very short or very long.
You could change your source to selecting top 1 instead of all 4,000. Do those insert? If so, that would lend weight to the bad date scenario. If 1 row does not flow through, it is another issue.
(I will just share my experience, how I overcame this problem, in case it helps someone)
My scenario:
One of the column Identifier in the ole db data source has changed from int to bigint. I was getting the error message - Conversion failed because the data value overflowed the specified type.
Basically, it was telling me the source data size was greater than the destination data size.
What I have tried:
In the ole db data source and destination both places, I clicked "show advanced editior", checkd the data type Identifier was bigint. But still, I was getting the error message
The solution worked for me:
In the ole db data source--> show advanced edition option--> Input and Output Properties--> OLE DB Source Output--> there are two options - External columns & Output columns.
In my case, though the Identifier column in the External columns was showing the data type bigint, but in the Output columns was showing the data type int. So, I changed the data type to bigint and it has solved my problem.
Now and then I get this problem, specially when I have a big table with lots of data.
I hope it helps.
We had this error when someone had entered the year as 216 instead of 2016. The data source was reading the data ok but it was failing on the OLEDB destination task.
We use a script task in the data flow for validation. By adding a check that dates aren't too far in the past we are able to trap this kind of error and at least generate a meaningful error message to find and correct the problem quickly.
I am trying to import some excel files to a sql server table using SSIS.
But problem is like when we consolidate data from all excel files to one then there is a chance that it may contain duplicate record.
to solve this I used Lookup transformation with "Lookup no match output" but no luck.
Can someone explain how to make it work with Lookup transform?
please refer attached image
Could you use a sort task and check the 'Remove rows with duplicate sort values' box?
I'm having several issues with importing a flat file into MS SQL Server using the SQL Server import / export wizard. I'd like to know how to effectively load the file into a SQL Server table.
File Conditions:
The flat file is fairly large (800MB, and serveral million rows)
It's poorly formatted
The first column is empty
The header is a 3 row set: top blank, middle has field names, bottom blank
This 3 row header is repeated approximately every 60,000 rows
Some values are nulls
It's tab delimited
First, I tried to load it in as Flat File, but SQL server failed to recognize the tab delimiters. Excel opens it correctly (although partially), but SQL Server sticks it all in 1 column.
Second, I tried opening and saving it as an excel file and loading it as an excel file into the SQL Server import wizard (which I'm not sure if it resaves all the data anyway). Now SQL Server parses the columns correctly, but it says integrity constrints are broken when it hits the repeated headers (every numeric type field has a string header every 60000 rows).
If anyone can tell me how to get around this that would be great. I'd ideally like to upload it without the integrity constraints and remove the extra headers with a DELETE WHERE header or blank clause. Not the only solution I'll take, but an idea.
Also, this is my first stackoverflow post, so patience is appreciated.
Thanks,
Since I don't have a formal answer yet, I'll post what I ended up doing.
Essentially, I just made everything a varchar so it would just load into a table. Then I wrote several queries to clean up the garbage in it. Later I made new typed fields and filled them with an insert and cast from the varchar typed fields.
I don't know that this will ever help someone, but at least there's an answer here.