Flat File -&&> Table: Error Using I/E Wiz, Date..could Not Be Converted..potential Loss Of Data
Jul 16, 2007
The following error is encountered when importing a delimited flat file with date of fomat "dd.mm.yyyy"
Error: 0xC02020A1 at Data Flow Task, Source - DCDtest_xpt [1]: Data conversion failed. The data conversion for column "value date" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
This was when I manually built the package.
I get the same error when using the Import/Export wizard
I am even using the "suggest types" button and have tried sampling the default number of rows (?200) and also 2000.
The type it suggests is DT_DATE.
But reading the BOL, this would appear to be the wrong type:
http://msdn2.microsoft.com/en-us/library/ms141036.aspx (obviously the right hand doesn't know what the left hand is doing)
seems to indicate that
DT_DBTIMESTAMP
is the correct value
(I cannot believe that they have different datatypes in SSIS than in SQL. I can't believe for a minute this is for all the hundreds of thousands of Oracle users who obviously switched to SSIS when they saw what a high quality product it is.)
I tried other DT_... values but no dice.
Can anyone help?
I always thought that Classic ASP was the worst product I've ever worked with from the Microsoft stable, but I was wrong.
I am fed up of having to post on this board (no wonder it is so 'popular')
Talking to peers, reading books, googling nearly always enables me to figure out a problem with any application I have ever used, but SSIS breaks the mould in sheer crapness and the weirdnes and unfathomability of its cryptic errors,.
I have a flat file that has a date column where the date fields look like 20070626, for example. No quotes.
The problem is that several of the date values are missing, and instead of the date value the field looks like this , ,
That is, there are several blank spaces where the date should be. The number of blank spaces between the commas doesn't appear to be a set number (and it could even be 8 blank spaces, I don't know, in which case I don't know if checking for the Len will produce the correct results, but that's another issue...)
So, similar to the numeric field blanks problem, I wrote a script to convert the field to null. This is the logic I used:
If Not Len(Row.TradeDate) = 8 Then
Row.TradeDate_IsNull = True
End If
The next step in my data flow after the script is a derived column where I convert TradeDate from 20070625 to 06/25/2007. So the exact error message I am receiving is this:
[OLE DB Destination [547]] Error: There was an error with input column "TradeDate - derived" (645) on input "OLE DB Destination Input" (560). The column status returned was: "The value could not be converted because of a potential loss of data.".
Do I need to add a conditional split after the script and BEFORE the derived column to redirect bad rows so they don't go to the derived column?
I'm getting a very strange potential loss of data error on my flat file source in the data flow. The flat file is fixed width and the column in question is defined as numeric [DT_NUMERIC]. The transform runs great if this column IS NOT A ZERO. As soon as a zero value is found, I get the error. It errors on the flat file source, so I haven't been able to use a data viewer to see what's going on.
I am using SQL Server 2005. I am trying to import data from CSV files into an SQL Server table using the Import wizard. The text qualifier is double quotes ("), column delimeter is a comma (,), first row has column names. One of the field name is "id", which is a GUID, whose datatype in SQL Server is uniqueidentifier. It looks like this in the file: ..."data","data","dbf7edf8-0ca8-4e53-91e3-5901cdc1819a","data"... As you can see, there are no enclosing curly braces for the guid value. The DTS chokes on this and throws this error: The value could not be converted because of a potential loss of data If I add curly braces like this {dbf7edf8-0ca8-4e53-91e3-5901cdc1819a}, it imports with no problem. Is there way to import this type of data, because there is no way I can edit these files, and I would prefer not changing the datatype of the id field? Or is this a limitation of SQL Server? Thanks,Bullpit
During import from CSV i am getting following error "The value could not be converted because of a potential loss of data". My CSV file contains a column "years" and i have selected datatime in the import wizar. Can I scape from this error and import all my data.
I've searched the threads and didn't see anything which seemed to fit this specific issue....
I have a Data Flow task which reads from an OLE DB Source (SQL Server 2005), uses a Data Conversion transformation to convert some field values, and finally outputs the result to distinct tabs of an Excel workbook. The task is failing with the following error:
There was an error with input column "oBBCompanyName" (2162) on input "Excel Destination Input" (57). The column status returned was: "The value could not be converted because of a potential loss of data.".
Using the Advanced Editor for the Excel Destination component, I examined the datatype of oBBCompanyName (ID = 2162) in the Input Columns list of the "Excel Destination Input" (identified with ID = 57). The Data Type is defined as DT_WSTR with Length = 255. The ExternalMetaDataColumnID = 203.
Also in the Advanced Editor for the Excel Destination, I examined the datatype of BBCompanyName (ID = 203) in the Extranl Columns list of the Excel Destination Input. The Data Type is defined as "Unicode String [DT_WSTR] with Length = 255.
What could I be overlooking that might be the root cause of this issue? The same error is occurring for different Excel Destination tasks in the data flow.
I am getting the error below in my Flat File Source.
I've seen this error many times before, and have successfully resolved this problem in the past.
However, this time it's a little different. It's complaining about row 7 of myFile.csv, column 20. I have column 20 defined as a Numeric(18,6). It also maps to the Price field in the table, which is also a Numeric(18,6).
The problem is, on row 7 of myFile, column 20 is blank. That is, there's no data for row 7, column 20.
So, why should it care about this?? If it's blank, then how can you lose any data?? I have several other blank columns in this file, but they aren't throwing any errors. Just this one.
Thanks
Errors:
[Flat File Source - myFile [1]] Error: Data conversion failed. The data conversion for column "Column 20" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
[Flat File Source - myFile [1]] Error: The "output column "Price" (333)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "Price" (333)" specifies failure on error. An error occurred on the specified object of the specified component.
[Flat File Source - myFile [1]] Error: An error occurred while processing file "d:myDirmyFile.CSV" on data row 7.
I am having a bit of a difficult trying to understand this one. I had imported two tables around 2-300 rows each ran this in 64 bit scheduled it and it ran okay. I now introduced a 3rd table which if I change the true64bit to false it will run however if left true it keeps mentioning the output column of descr with a loss of data.
I did move it to 32bit and then ran the package it comes up as below. If I rememeber I can run this in 32bit mode which I'm sure will work hmm maybe!! but what I can't understand is why it works for two tables? is it something to do with the translation of the table or do I need alter the select statement?
Currently it is a select *
Executed as user: jvertdochertyr. ...on 9.00.3042.00 for 64-bit Copyright (C) Microsoft Corp 1984-2005. All rights reserved. Started: 10:30:11 PM Error: 2007-12-06 22:30:21.02 Code: 0xC020901C Source: st_stock st-stock out [1] Description: There was an error with output column "descr" (56) on output "OLE DB Source Output" (11). The column status returned was: "The value could not be converted because of a potential loss of data.". End Error Error: 2007-12-06 22:30:21.02 Code: 0xC0209029 Source: st_stock st-stock out [1] Description: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "output column "descr" (56)" failed because error code 0xC0209072 occurred, and the error row disposition on "output column "descr" (56)" 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. End Error Erro... The package execution fa... The step failed.
With my SSIS package, I want to import data from a flat file (TXT- delimited with ?) to a table in my database in sql server 2005. The problem is that I have a column of type datetime in my table. But as you know, the data in txt is string. First I created my package through importing data and using import/export wizard in management studio to my database and selecting flat file connection. There, I selected my txt file and column delimiter as ?, then suggested types for the columns. There it selects 8 byte signed integer type for the datetime column in my table. After these steps I create my package and execute it. But it does not put data in my table in the database. It gives the error of "The value could not be converted because of a potential loss of data" or "cast conversion failed" . I tried other types of date, timestamp, string but none of them was successful. What should I do to put data in my table from txts. Please can you help me urgently!!!
Why would I get these errors: " SSIS Error Code DTS_E_OLEDBERROR. An OLE DB error has occurred. Error code: 0x80040E21. An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80040E21 Description: "Invalid character value for cast specification".
There was an error with input column "UniqueID" (3486) on input "OLE DB Command Input" (3438). The column status returned was: "The value could not be converted because of a potential loss of data.".
Error: 0xC0209029 : SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "input "OLE DB Command Input" (3438)" failed because error code 0xC0209069 occurred, and the error row disposition on "input "OLE DB Command Input" (3438)" 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."
I read related posts but could not figure out the error?
I have an odd problem that is driving me nutz. I have a very simple SSIS package that imports a 5 colum flatfile into a sql Server 2005 Table.
When I created this package with the wizzard, it will execute perfectly fine and processes all rows into the destination table.
But when I hit F5 to execute it manually it will fail before inserting a single row.
The error it generates is (Spalte 5 is a Datetime in the format DD.MM.YYYY) :
Error: 0xC02020A1 at Datenflusstask, Source - Daten_NC_1_txt [1]: Data conversion failed. The data conversion for column "Spalte 5" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
Error: 0xC0209029 at Datenflusstask, Source - Daten_NC_1_txt [1]: The "output column "Spalte 5" (25)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "Spalte 5" (25)" specifies failure on error. An error occurred on the specified object of the specified component.
Error: 0xC0202092 at Datenflusstask, Source - Daten_NC_1_txt [1]: An error occurred while processing file "C:WorkDaten_NC_1.txt" on data row 177.
Edit: Modified the Title so it properly reflects the Problem & the Solution
INSERT INTO [GPO].dbo.tblMetric  (KPI_ID, METRIC_ID, GOAL, REPORTING_MONTH, ACTUALS) SELECT           1 AS KPI_OWNER_ID     , 23 AS METRIC_ID     , .75 AS GOAL     , CAST(Z.REPORTING_MONTH as DATE) AS REPORTING_MONTH     , SUM(CAST(FTP_COUNT AS DECIMAL))/SUM(CAST(FULL_COUNT AS DECIMAL)) AS ACTUALS
[Code] ....
The insert column I am trying to get into is a date type. The original state of the field is YYYYMM varchar. How to get this into the table.
I have a situation where a tab limited text file is used to populate a sql server table.
The tab limited text file comes from a third party vendor. There are fixed number of columns we need to export to the sql server table. However the third party may add colums in the text file. Whenenver the text file has an added column (which we dont need to import) the build fails since the flat file connection manager does not create the metadata for it again. The problem goes away where I press the button "Reset Columns" since it builds the metadata then. Since we need to build the tables everyday we cannot automate it using SSIS because the metadata does not change automatically. Is there a way out in SSIS?
I'm creating an ISP for extractig data from a text file and put it in a database.
One of the fields in my textfile contains the value '0' or a date. If it's '0' it should be converted to the Null Value. The column in which it has to be saved is of type smalldatetime.
This is the code of my script where I want to check the value of the field in my textfile and convert it to a date or to Null.
Public Overrides Sub Input0_ProcessInputRow(ByVal Row As Input0Buffer)
If Row.cdDateIn = "" Or Row.cdDateIn= "0" Then
Row.cdDateInCorr = CDate(DBNull.Value)
ElseIf Row.cdDateIn_IsNull Then
Row.cdDateInCorr = CDate(DBNull.Value)
Else
Row.cdDateInCorr = CDate(Row.cdDateIn)
End If
End Sub
The error that I get is:
Validation error. Extract FinCD: Conversion of cdDateIn [753]: Eroor 30311: Value of type 'System.DBNull' cannot ben converted to 'Date'.
I'm moving data between identical tables and have to use a flat file as an intermediary. I thought: "No problem, SSIS can do a quick export to a file, then move the file to another server, then use SSIS to import the data to the new server."
Seems simple, right?
I'm hitting all sorts of surprising data conversion errors. I used the export wizard to create the export package. This works fine. However using the same flat file definition, the import package fails -- even when I have no destination. That is I have just one data flow task that contains only one control: the Flat File source. When I run the package the flat file definition fails with data type conversion and truncation errors. One of the obvious errors is for boolean types. The SQL field is a bit, SSIS defined the column as DT_BOOL, the output of the data are literal text values "TRUE" and "FALSE". So SSIS converts a sql datatype of bit to "TRUE" and "FALSE" on export, but can't make the reverse conversion on import?
Does anyone else find this surprising? I would expect that what SSIS exports, it can import given all the same table and flat file definitions. Is SSIS the wrong tool to do such simple bulk copies? I'd like to avoid using BCP because this process will need to run automatically within SQL Agent so we can leverage all the error tracking and system monitoring.
I m using SSIS and i am transfering the data from Flat File Source to the OLE DB destination File. The source file contain some corrupt data which i am transfering to the other Flat file destination file.
Debugging is succesful but i am not getting any error output in the Flat file destination file.
i had done exactly which is written in the msdn tutorial of SSIS.
Plz tell me why i am not getting the error output in the destination flat file?
I need to do some advanced formatting in the text file, because the data in the text file is bit complex. I have some knowledge of using BCP, BULK INSERT and bit about FORMAT FILES but I want to do some advanced formatting(using IF condition and all) to pull the data from text file. Can anyone please tell me how can I perform bit advanced formatting using BULK INSERT?
Let me preface by saying I am not very familiar with SSIS.
Ideally, since the Transfer SQL Server Objects task can do all tables, I would like to use it to copy only data from one server to a new server that has the tables pre-created. When I encounter any kind of error, in addition to the error information provided by SSIS, I also need the actual row data.
If using the Transfer Object task can't do that, how would I loop through all the tables on an OLEDB source and capture the same error information on the destination? I figured out how to do the Data Flow a table with a redirect error output but that does not give me the actual row data.
I am running a set of SQL statements on a SQL server, to insert flat file data into a SQL table. The flat file is already FTP'ed to the SQL server. I seem to be getting an error, which is possibly pointing to a permissions issue
The statements:
BULK INSERT [Jedox_prod].[dbo].[B_BP_Customer] FROM 'c:jedox_dailyjdcom4401.txt' WITH ( FIRSTROW = 2, MAXERRORS = 0, FIELDTERMINATOR = '|', ROWTERMINATOR = ' ' ) GO
The error is : Msg 4861, Level 16, State 1, Line 1 Cannot bulk load because the file "c:jedox_dailyjdcom4401.txt" could not be opened. Operating system error code 3(failed to retrieve text for this error. Reason: 1815)
If it is permissions issue, how do I overcome this?
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 stuck with a problem and need your help. As we know, all columns that go to error flow of flat file source connection are displayed as a single column e.g. FlatFileSourceErrorOutputColumn, but my requirement is to extract the first column value from this FlatFileSourceErrorOutputColumn, my data is dilimeted by "|" pipe operator. I have created a script component to deal with this. However if we take FlatFileSourceErrorOutputColumn column as input column in script component, it comes as BLOB data. I wrote below code in transformation script component to extract BLOB data from column in string form and then do a Left function search to take first column out.
When I am running this script component I am getting '??????????' question marks as a result in Row.Pname.
Can anyone please help me understand if I am doing anything wrong in this script or suggest a better way to take the data out?
I appreciate your help.
Public Overrides Sub Input0_ProcessInputRow(ByVal Row As Input0Buffer)
I have a table dbo.Sales that contains all sales records. There is a column in that table called ItemNumber that I'd like to match with ItemNumber in a flat file and update the ItemCost based on the ItemCost column in the flat file.
So while there will be many sales records for each ItemNumber, I need to loop through and update the ItemCost in that sales record based on the corresponding ItemCost in the flat file. Does this make sense? I really need this for court and I can't figure out how to do it. I took a SQL course about 7 years ago but have forgotten everything.
There will be many sales records for each ItemNumber in the database table. I need to update each one with correct cost based on the item number and cost mapping from flat file.
I am facing a problem on validating the data from a flat file while inserting the data into the destination table of sql server 2005 database. In my package, i have to validate the input data whether the values are coming as null or not, before inserting into the destination database. The flat file may not contain data for all NOT NULL columns. I have to find out that row(s) and reject the record. If the rows are coming as Null for the Not Null columns, the OLEDB Destination throws OLEDB exception for the constraint.
To resolve this, i have an script component in data flow, to check whether the input data is coming as null. I have added the output column of boolean type to the script component, it will be assigned to TRUE when there is null for the Not Null column in the script.
And in the follwing conditional split, i am checking the flag for TRUE to reject the record.
Is there anyway to backup the current online log after complete loss of the current correponding datafile?
Example:
(2) Logical Disk Volumes
Disk 1 (D:) contains pubs_data.mdf Disk 2 (E:) contains pubs_log.ldf
Disk 1 becomes corrupt and goes offline leaving the the database pubs in a suspect state. Is backup of the current online log pubs_log.ldf possible? If a backup of the log is not possible are there any other restoration methods that can be used to bring this database back online, rescuing as much information as possible from the current online log pubs_log.ldf.
First, a couple of important bits of information. Until last week, I had never touched SISS, and therefore, I know very little about it. I just never had the need to use it...until now. I was able to convert my first 3 flat files to SQL2005 tables by right clicking on "SISS Package" and choosing "SISS Import and Export Wizard". That is the extent of my knowledge! So please, please, please be patient with me and be as descriptive as possible.
I thought I could attach some sample files to this post, but it doesn't look like I can. I'll just paste the information below in two separate code boxes. The first code box is the flat file specifications and the second one is a sample single line flat file similar to what I'm dealing with (the real flat file is over 2 gigs).
My questions are below the sample files.
Code Snippet Record Length 400
Positions Length FieldName
Record Type 01 1,2 L=2 Record Type (Always "01") 3,12 L=10 Site Name 13,19 L=7 Account Number 20,29 L=10 Sub Account 30,35 L=6 Balance 36,37 L=1 Active 37,41 L=5 Filler Record Type 02 1,2 L=2 Record Type (Always "02") 3,4 L=2 State 5,30 L=26 Address 31,41 L=11 Filler Record Type 03 1,2 L=2 Record Type (Always "03") 3,6 L=4 Coder 7,20 L=14 Locator ID 21,22 L=2 Age 23,41 L=19 Filler Record Type 04 1,2 L=2 Record Type (Always "04") 3,9 L=7 Process 10,19 L=10 Client 20,26 L=6 DOB 26,41 L=16 Filler Record Type 05 1,2 L=2 Record Type (Always "05") 3,16 L=14 Guarantor 17,22 L=6 Guar Account 23,23 L=1 Active Guar **There can be multiple 05 records, one for each Guarantor on the account**
and the single line flat file...
Code Snippet 01Site1 12345 0000098765 Y 02NY1155 12th Street 03ELL 0522071678 29 04TestingSmith,Paul071678 05Smith, Jane 445978N 05Smith, Julie 445989N 05Smith, Jenny 445915N 01Site2 12346 0000098766 N 02MN615 Woodland Ct 04InfoJones,Chris 012001 01Site3 12347 0000098767 Y 02IN89 Jade Street 03OWB 6429051282 25 04Screen New,Katie 879500
As you can see, each entry could have any number of records and multiples of some of the record types, with one exception, every entry must have a "01" record and can only have one "01" record. Oh, and each record has a length of 400.
I need to get this information into a SQL 2005 database so I can create a front end for accessing the data. Originally, I wanted one line for each account and have null values listed for entries that don't have a specific record. Now that I've looked at the data again, that doesn't look like a good idea. I think a better way to do it would be to create 5 different tables, one for each record type. However, records 2 through 5 don't have anything I can make a primary key. So here are my questions...
Is it possible to make 5 tables from this one file, one table for each of the record types?
If so, can I copy the Account number in record 01, position 13-19 in each of the subsequent record types (that way I could link the tables as needed)?
Can this be done using the SISS Import and Export Wizard to create the package? If not, I'm going to need some very basic step by step instructions on how to create the package.
Is SISS the best way to do this conversion or is there another program that would be better to use? I know this is a huge question and I appreciate the help of anyone who boldly decides to help me! Thank you in advance and I welcome anyone's suggestions!
I'm new to SQL Server 2005 SSIS. I'm trying to do something very simple, but I cannot figure it out, PLEASE HELP!
I have a flat file, which I read and then insert the data in a database table, that works fine. The problem is that I don't want to insert duplicate records. For example; if I run the package again, it will appent to the table. What I need to do is that if the package runs again, check if the record already exist, based one two columns, date and hour, and do not insert the record.
Hi, Basically the above is a very common requirement, please comment on my solution which I've arrived at by searching through the web; -
In summary I have used 3 SSIS components these are "Flat File Source", "Derived Column" and "SQL Server Destination".
1) File Connections Manager Editor 1.1) Within File Connections Manager Editor; - Name the data type e.g. "INTERCHANGE_NET_APP_DATE_SRC" and assign a type to the data type e.g. string[DT_STR]
1.2) Click on the Preview button to ensure the expected text is assigned to the expected data type.
2.4) Select "database timestamp [DT_DBTIMESTAMP] " as Data Type.
2.5) Within the Mappings tab of the SQL Destination Editor have; - Input Column as INTERCHANGE_NET_APP_DATE and Destination Column as INTERCHANGE_NET_APP_DATE.
Please comment on the above, I will then pass on my suggestion to Microsoft.
I asked this question below, but the answer was that the conversion will take place automatically, but I can't get that to happen. I have a flat file with an 8 position field that I identify as string (and I also tried date) that is yyyymmdd and it needs to go into the database field that is datetime format. IS there something I am doing wrong with the definition of it, or do I need to add some kind of conversion, and if so, what and how would that be done. I'm a dts Sql2000 expert, but the SSIS thing is driving me crazy. I have a ton of dts' to convert and the migration tool doesn't work because there are a lot of active X scripts in them. thanks for your help. Boston Rose
In my SSIS package I have flat files as a source, I have to load numbers of flat files into SQL target table. I am using For each loop container for that. I am doing it correctly. My aim is to validate the source data from all angle before writing it into target sql table. I am using below points to validate the source data , if I found any bad data I am redirecting those data to error output.
To Checking
1. To check whether data type of column. 2. To check whether buisinesskey column null.
Is there any thing which I am missing to validate source data.