Hi,
I have a flat file that contains 2 types of records - Dev and production. The Dev will be noted with an D and the Production with a P. These records are different - The dev records are in a different order and contain different info then the Production. I need to use SSIS to import the data into 2 different SQL Tables. How to do this?
Can any one help me
Thanks in advance
Hello,
I am attempting to import a fixed width flat file into a SQL Server table. When I import the file, 704 records don't make it into the table. I know this because if I do the import with MS Access 2003 into an Access table, all of the records from the flat file make it into the table. The flat files have a .txt extension.
The only possible problem that I can see is that some of the rows in the flat file do not contain the full set of characters. When I do the import into SQL Server and create a table on the fly, I still end up 704 records short. There are no error messages during or after the import.
I suppose I could isolate some of the missing records, put them into a different file and try to import them to see what would happen. Other than that, how do I begin to troubleshoot this problem? Are there known issues where records can be dropped from a fixed width file?
Thank you for your help!
cdun2
Hello everybody.
I have a problem with "Flat file"-connection, which I cannot understand at the present. Here is the issue: I've got an ASCII-file containing 233898 lines. I try to read this file in two different packages using two different connections. In the first connection I used default data type - DT_STR of length 50, in the second one I used "Propose types..." feature (with 2000 samples) to detect types which are better matching the reality. And, when I try to load my data, the first connection reads exactly 233898 lines from the file, the second one 203898. Somehow it skips 30000 lines unloaded.
I tried to observe the error output for the second connection - everything goes smoothly and problemless. But somehow those 30000 lines are missed.
Has anybody experienced such a situation? Is the issue known?
Thanks in advance,
A.G.
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?
TIA
Hi,
I've just started looking at SSIS and have encountered what should hopefully be a simple problem to solve. I have a pipe-separated source file that looks like this (I've added Line numbers for simplicity):
Ln 01: HDR|FEED_CODE|31-MAR-2006
Ln 02: Tom|100|Jones|ZZ1 1ZZ|USA
Ln 03: Tom|200|Singer|
Ln 04: Tom|305||Red|Porche ||Lanzarote |Apple|Carrot| | |
Ln 05: Dick|100|Van Dyke|ZZ1 1ZZ|USA
Ln 06: Dick|200|Actor|
Ln 07: Dick|305||Blue|Ford||California |Tomato | |||Beef
Ln 08: Harry|100|Houdini|ZZ1 1ZZ|GBR
Ln 09: Harry|200|Escapologist|
Ln 10: Harryk|305| |Green ||Triumph |Poland|Banana|Sprout| | |
Ln 11: TRL|9
In addition to a header and footer records, this file contains three record types for each person.
Record types are identified by the second column.
Each record type has a different number of columns:
Type 100 has 5 columns
Type 200 has 4 columns
Type 305 has 12 columns
The Row delimiter for all records is the {CR}{LF} character
I've set up a flat file input source and specified {CR}{LF} as the row delimiter for both header and data rows and the "|" character as the field delimiter.
It appears that SSIS is assuming that because the first data row has 5 columns, then everything must fit that format too. So the {CR}{LF} character that separates lines 02 and 03 is interpreted as text rather than a separation character and all remaining | field separators after 305 are interpreted as text containing in the fifth column. SSIS is also complaining that the last row is incomplete.
A bit like this (I've used tildes to indicate column separation):
Tom~100~Jones~ZZ1 1ZZ~USA
Tom~200~Singer~{CR}{LF}Tom~305||Red|Porche ||Lanzarote |Apple|Carrot| | |
I've seen one other reference to this behaviour but the response seemed to be SSIS doesn't know which columns are missing. In this scenario, we don't have missing columns, rather, we have different types of record in a single file. in DTS I would effectively parse the file once for each record type thus:
if cStr(DTSSource("Col002")) = "100" then
DTSDestination("in_Name") = trim(DTSSource("Col001"))
...
Main = DTSTransformStat_OK
else
Main = DTSTransformStat_SkipInsert
end if
...not the most efficient solution I know but the load only runs once a month so this was an acceptable workaround.
DTS was never this fussy but I'm sure this is user error rather than an SSIS limitiion. Can someone please put me straight?
Many thanks,
Greg
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.
Diagram of Record Hierarchy
typeA (parent key, ...)
typeB1 (parent key, childSet key, date, ...)
typeB2 (parent key, childSet key, ...)
typeC (parent key, childSet key, ...)
typeD (parent key, childSet key, ...)
typeE1 (parent key, childSet key, date, ...)
typeE2 (parent key, childSet key, ...)
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).
Hello, I'm trying to import data from a flat file into a table that has smalldatetime data types. I tried creating triggers on the smalldatetime data types that converts the data from a string to a datetime value but the import is still unsuccessful. What should I do?
Col002 looks like this in my flat file 'ex: 20000112'
DTSDestination("entry_dt") = DTSSource("Col002")
I get an error when trying to put the value of col002 into entry_dt.
Thanks.
I am trying to import a flat file with large rows into MS SQL Server. This flat file consists of about 100 columns of data, followed by a set of 10 columns repeated 50 times.
I would like very much to break the data apart in the import. What's the best way to handle it?
--
Dyolf Knip
Hi,
From the filemaker database, I am exporting data to the Flat file separated by tabs. From this Flat file I need to import into Sqlserver table. The Flat file has the 23 columns and 4000 rows.
To insert into Sqlserver table I am creating the Flatfile connection.
In the dataflow tasks, I am creating the Flatfile source, OLEDB destination and mapping the columns. And to run the package I am doing the Debug->start with out debugging.
In my flat file I have columns like SSN, Email. So in Sqlserver table I am defining the columns as the Nvarchar(200).
If I insert the 6 rows data from flat file to Sqlserver, this works fine.
If I tried to insert the 23 rows data, by clicking on Debug->Start debugging -> no data inserted into Sqlserver table. the arrow between flatfile source, OLEDB destination is showing the 450 rows. How can I view the errors?
When I mouse over on the OLEDB destination, it is showing "truncation occurs on the column (20th column) more than 512 characters.."
Initially the Output parameter length is 50 and datatype is Unicode char, I increased it to 512.
What is the problem here? If there are more columns I am not able to insert data.
How to view the errors?
Thanks
I am trying to import a flat file using SQL Server Management Studio and am receiveing the error:
Error 0xc0202055: Data Flow Task: The column delimiter for column "Column 19" was not found.
(SQL Server Import and Export Wizard)
I would like to capture the rows that are causing the error and have the import continue. Am I able to edit the behavior somehow?Thanks.
I am trying to import a flat file into SQL Server 2005 using SSIS. I have never used it before and I am getting confused by the error I am receiving.
I have a link to a flat file, that gets sent through a Derived Column flow where dates in YYYYMMDD are changed to MM/DD/YYYY format. Then the string MM/DD/YYYY is converted to a date in a Data Conversion flow. And finally the data is put into a SQL Server table (currently with no rows).
The problem I am having is with a text field with the email address in it. The error I am getting is:
[Import Allstate Auto Club [1]] Error: Data conversion failed. The data conversion for column "email_source" returned status value 4 and status text "Text was truncated or one or more characters had no match in the target code page.".
The problem is I can't see where in the flow the problem is. The field length is 20 wherever I look and the codepage is 1252 wherever I look. Does anyone have an insight? Keep in mind, I have never used SSIS before and I consider myself an amateur with SQL Server. It could easily be a data type conflict or something easy. Any help will be appreciated.
I have a fixed width flat file I'm trying to insert into an SQL 2005 table using SSIS -- it's a recurring task. One of the columns in the flat file has to go to a column of type Numeric. No matter what I try : a data conversion, defining the field as DT_NUMERIC in the connection,... I always get "The conversion returned status value 2 and status text :The value could not be converted because of a potential loss of data". It is driving me bonkers, up to the point that I find myself wishing for the 'good old' DTS days of SQL 2000. And I dread to think what will happen when I try to port some serious, much more complex DTS packages on my SQL 2000 to SQL 2005.
The data in question represents longitudes and latitudes so quite often there is a leading white space in the data : ex. : " 95.15". Surely that cannot be the cause ?
I've spent hours doing the RTFM-thing and searching the newsgroups, fora...you name it. Apart from ending up running in circles in the MS documentation, the only thing I've really learned so far is that I'm aparently not the only one driven to dispair by the new SSIS thing.
I can think of a number of ways to hack my way around this thing, but that's not the kind of 'progress' I had in mind when I started the move to SQL 2005.
Intelligent suggestions would be most welcome.
Boy, do I need HELP! Have a simple csv file that I need to import. Worked fine in sql2000; I put it into dts to execute on a monthly basis. Makes connection, db connection, table creation fine, but stops at validation of flat file?
Basically, I want to go out and get a flat file, drop the existing table, and create the table, and import the information from the flat file. Not a complicated table of about 30,000 records.
Create table [db].[dbo].[tblPatient] (
[patientID] into not null, [chartID] varChar(15) null, [doctorID] int null, [birthdate] datetime null, [sex] varchar(1) null, [raceID] int null, [city] varchar(100) null, [state] varchar(2) null, [zip9] varchar(9) null, [patientTypeID] int null, [patName] varchar(100) null)
Below is the error report that tells me NOTHING!
Operation stopped...
- Initializing Data Flow Task (Success)
- Initializing Connections (Success)
- Setting SQL Command (Success)
- Setting Source Connection (Success)
- Setting Destination Connection (Success)
- Validating (Error)
Messages
* Error 0xc00470fe: Data Flow Task:
The product level is insufficient for component "Source - pmPatientInfo_csv" (1).
(SQL Server Import and Export Wizard)
* Error 0xc00470fe: Data Flow Task:
The product level is insufficient for component "Data Conversion 1" (71).
(SQL Server Import and Export Wizard)
- Prepare for Execute (Stopped)
- Pre-execute (Stopped)
- Executing (Success)
- Copying to [fhc].[dbo].[tblpatient3] (Stopped)
- Post-execute (Stopped)
- Cleanup (Stopped)
Hi,
I'm going to be getting several flat files that need to be imported into one of two tables. Although the text files will have different file names, they will have either "Header" or "Detail" in the file name, so I can tell which table they need to be imported into.
The problem is I don't know enough about SQL Server 2005 to set up an automated import of these files into the database. Does anyone have any suggestions on how to do this, or have any experience in setting this up? Are there any inexpensive programs to load data realtime or on a schedule? (I work for a young company with a very tight budget).
I had an idea of creating a windows vb or batch program to create the import commands for each of the flat files, but I can't find the line command to build the import command.
I'm just at a loss and need a solution soon...
Thanks,
Laura
I have a flat file that uses tabs as the column delimiters and cr-lf as row delimiters. The first portion of the file consists of only two columns for approximately 10 rows and then the file changes to 4 columns for the balance of the file, about 21 rows. The column names are in the first column and the data of interest is in the second column for the first 10 rows and then in the third column for the last 21 rows. Is it possible to set up something like this for parsing in SSIS? I've tried using two columns in the data flow task but then I get columns 1 and 2 through the whole file. If I tell it there are 4 columns in the file, it appends rows to each other so that there is a total of 4 columns in the first 10 rows. This reduces the row count to less than 10 and the data in these rows isn't in the proper place. Is there a way to handle this file in SSIS?
TIA
Hi.
I want to import a flat file to my sql server database. My sql server and web server are on different machines. I used a bulk insert to import the data using a Format.. But now since the sql server and the web server are on different machine it doesnt load the data to the sql server..
i have tried giving http://Ipaddress/Path and that didnt work.. tried mapping the network drive to the webserver and then specified the location and that didnt work too..
I found this connection string on the internet
Provider=Microsoft.Jet.OLEDB.4.0;Data Source=c: xtFilesFolder;Extended Properties="text;HDR=Yes;FMT=Fixed";
but i am not sure how to give a ~ delimited and specify a format file..
any help will be appreciated..
Regards,
Karen
I€™m looking for advice for the following scenario:
Import Source: Flat File €“ 2 columns (student#, lunch_bal)
Destination: SQL Table:
Trnpayuniq (PK)
Atype (all values = €˜S€™)
Auniq ( from flat file €“ student#)
Trnamt (from flat file €“ lunch_bal)
Trnpayc (all values = 1)
I€™ll truncate the destination table before each import.
Is the best way to create a temp table; get it populated
then update the destination table? Or
would the use of Merger (Merge Join) be the better approach.
Thanks for any direction.
I have a fixed width flat file that I'm trying to import, and I'm just about there. The last column that I'm struggling with, is a decimal amount. The data in the column looks like this 00000000500 and I need to dump it into a column as 5.000 In otherwords, the data in the file does not have any decimals, and I'm putting it into a sql server column that has the datatype numeric(11,4) I've set the InputColumnWidth to 11, the DataPrecision to 11 and the datascale to 2, and the value is still being imported as 500.000 Is there any way to achieve this other than using a script component to calculate the value? Thanks!
View 6 Replies View RelatedHi,
I wanted to know if there was a way to import data from a flat file without specifiying the delimiters. I want to import each line in one row so that i can use the substring function to break of the data as an when i want and not as per the delimited format file or the wizard.
i.e if row one had "abc"|"1453"|"Jack"|"Smith"| etc.... rather than importing these as different columns and rows. I want this all in one row, one column.
Is it Possible?
Hello friends,
I have the following (simplified):
1. Flat File Source
2. Conditional Split, Case Good = !ISNULL(KEY) Case Error = ISNULL(KEY)
3. Case Good -> Writes to Good Flat File (with timestamp in the title)
4. Case Error -> Writes to Error Flat File (with timestamp in the title)
Most job runs have no errors but the error file is created as a zero byte file anyway. If there are no error records I don't want the error file created. How might I accomplish this?
Thanks
Hi.
I want to upload a Flat file from an asp.net website to a Sql server.. I have used olebb provider to upload excel files and a foxpro provider to upload DBF files and then used the sqlbulkcopy to put the data to my sql server..
SO i was wondering what kinda provider should i use to import a Flat file to the database and do i have use a format file in order to import it...
Any help will be appreciated..
Regards,
Karen
Hi all,
I'm totally new to SQL Server 2k5 and need to do something rather basic: import some CSV files into tables. I'm getting translation errors and would like to know what's the best way to cast the strings before inserts.
I'm doing the import in BI Development Studio.
Current situation:
Created connection managers to csv files
created SQL server destinations pointing to the tables
connected them directly with a dataflow path
Ran the packadge: one import went just fine, the other one complains about conversion errors like "Conversion DT_STR and DT_I4 not supported"
Both tables have the same kind of fields (varchar, float, datetime, int)
I looked at converting the data using a transformation but am somewhat confused of which one to use.
What's the best way to transform the data before insert: derived column, import column or data conversion? Or something else I overlooked?
TIA
Peter
Hello all,
We have been trying now for the past 2 days to import data from a flat file to sql server database but with no luck.
The real issue here is that one of the field names has a very long value.
As a result, the import fails because it is unable to truncate the value.
We really don't want the value truncated but we have not been able to import the entire data file.
We have used nvarchar(max) but it doesn't work.
Can someone please let me know if you have encountered this type of issue and how was it resolved?
Thanks in advance.
I have a a flat file that consists of 2 Columns of data that need to overwrite an existing Table that has 3 Columns of data. The Import fails because the 3rd column on the table is a Date stamp column with the Data Type of "smalldatetime" and does not allow Null data. If I were to delete this 3rd column from the table the import works great but I lose the DateTime column. How can I use the Import Wizard to import the first 2 columns from a text file and update the 3rd column with the date and time? The wizard does not seem to let me update a column unless the data for this column comes from the flat file. Please assist, thanx.
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Hi,
I am trying to import from Excel file. So In between Excel file source and OLEDB destination I am using One Data Transformations to convert excel unicode characters to Sqlserver varchar.
Iam getting this following errors:
1)
Error: 0xC020901C at Data Flow Task, OLE DB Destination [382]: There was an error with input column "Copy of Zip" (615) on input "OLE DB Destination Input" (395). The column status returned was: "The value could not be converted because of a potential loss of data.".
Copy of zip is the Data Transformation column mapped Sqlserver Varcahr(200) column of Zipcode.
In excel file the Zip codes are like this:
78712-2344
78123
12345
87651-1234
2)
The column "State" needs to be updated in the external metadata column collection.
This is warning. This type of warnings are for all columns in excel file.
3) Intially I declared the Sqlserver table columns like this Varchar(100), then SSIS showing some warning like truncation of column State 255 characters to .. So I changed columns datatype from Varchar(100) to Varchar(500)? Why we need to change like this.
Thanks in advance
Hi,
i want to import flat file data to sql server. i created a package in vb.net. if the import table column is identity means i got
Failure inserting into the read-only column "ID".
Column metadata validation failed.
"component "OLE DB Destination" (10)" failed validation and returned validation status "VS_ISBROKEN".
One or more component failed validation.
There were errors during task validation. error.
how can i rectify this error? or how can i ignore the identity column in coding.
thanks & regards,
sivani
Firstly, I hope this question isn't asked too frequently but I found no existing reference to this situation....
I had a bunch of stored procedures in SQL 2k which imported and exported data to and from flat files using TEXTPTR, READTEXT, UPDATETEXT etc... The flat files were continuously changing so the filepath was a parameter for the sp.
The reason I used the pointer to flat files is because I didn't want to
load the files in memory before commiting them ie. with TEXTPTR and
UPDATETEXT I can import a 1Gb binary file 80000 bytes at a time and
keep (precious) memory usage down.
I was accessing this procs from a C# application.
Since these methods are going to be phased out by the guys at MS what is the best way of importing/exporting very large binary files in SQL 2005?
As far as I can tell SSIS requires a Flat File Source Manager object which needs a static filepath - not good.
Hope you can help,
Paul
I have been working on this import for days and I just can't figure this out. Â All I am trying to do is import a flat csv file into a new table using the default settings in the import tool and it just won't work! Â I have tried it hundreds of different ways, including saving the package and opening it in BIDS. I am new to SQL and SSIS... Â Errors are below.
- Executing (Error)
Messages
Error 0xc02020a1: Data Flow Task 1: Data conversion failed. The data conversion for column "Column 2" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
 (SQL Server Import and Export Wizard)
Â
Error 0xc0209029: Data Flow Task 1: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR.  The "output column "Column 2" (18)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "Column 2" (18)" specifies failure on error. An error occurred on the specified object of the specified component.  There may be error messages posted before this with more information about the failure. (SQL Server Import and Export Wizard)
Â
Error 0xc0202092: Data Flow Task 1: An error occurred while processing file "C:UsersTonyDocumentsHRAP20110506TCH.csv" on data row 1.
 (SQL Server Import and Export Wizard)
Â
Error 0xc0047038: Data Flow Task 1: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED.  The PrimeOutput method on component "Source - AP20110506TCH_csv" (1) returned error code 0xC0202092.  The component returned a failure code when the pipeline engine called PrimeOutput(). The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing.  There may be error messages posted before this with more information about the failure. (SQL Server Import and Export Wizard).
I am importing from a flat file source that is pipe delimited. I have a few files that all follow the same format but now that I am dealing with subsequent files, they are reacting differently and the date is being discarded. I have opened the subsequent file into Excel without any column conversion issues. But whenever I run the package, about halfway through the dates become NULL. I have defined the field as DATE, DatabaseTimestamp, String (convert to Date using substring parsing method) and all of these yield the same results. Any ideas?
View 1 Replies View RelatedHi there,
I have a question regarding 2 approaches importing data from a flat text file. I'm taking the approach suggested by Phil Brammer to use a checksum to see whether a row has exists, and if it does check whether it has changed.
http://www.ssistalk.com/2007/03/09/ssis-using-a-checksum-to-determine-if-a-row-has-changed
I would like to hear some opinions on 2 approaches:
1) Importing the data int a temp table first then do the data processing from the temp table.
Or
2) Importing the data by doing the data processing direcly from the text file without placing it in a temp table first.
A hunch told me that it will be faster doing approach 1 but I would like to hear some experienced opinions first
Best regards
Mike
Hi,
We have a csv file which contains a date field. The data in the field contains "0" as well as "dd/mm/yyyy". Is it possible to update all "0" to "01/01/1900" on import using SSIS.
Basically when we import the flat file now it falls over due to the destination table data type being datetime.
If this is not clear please let me know and i'll try and explain more?
Thanks for any help.
Slash.
Hi,
I need to export some data from SQL 2005 to a flat file, The data and flat file names will be dynamic and will be be fired programaticaly so I can't use DTS or SSIS.
In SQL2000 I did it using bcp, but that's quite a security hole so I don't want to use external utilities. I'll need to do something similar on another machine to import the data as well.
I find it strange there's no easy way to do this!
Thanks.
I finally put together a SSIS package that takes a Text File and successfully imports its data into the right table. My question is, where in the package's properties can I find the option to Delete all rows from Destination Columns prior to Importing. I have looked everywhere in the Package Explorer for this setting. Thanx in advance.
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