Problem Importing Data From Flat File Into Decimal(10,2) Field
Oct 30, 2007
Problem importing data from flat file into decimal(9,2) field. The data in the flat file is 000001453 and I am copying it to a decimal(10,2) field and instead of showing up in the 0000014.53 it comes across as 0001453.00. I tried defining the input columns a few different ways but none seemed to work. How do I do this with SSIS or do I need to write a SP and use convert? Thanks.
I would like to write the metadata to a [order header] table and the ITEMS to a [order detail] table. Can someone direct me to a example of something similar?
I have exported data from few tables from my old sql server 7.0 database. Now, I need to import those data into new database which is on SQL Server 2005 Express. How do I do that in 2005 express server? Any idea?
Or, is there any better way to import data for selected tables into new database?
I have a problem with some in a file. when i excute ma package to import data with my *.cvs file ssis bloqued le data flow in the line number 1042 and output this error : column delimiter note found for the column 50 wich is the last column .
I was getting the product error associated with the full version of SSIS not installed so I ran the installation again and selected the Integration Services check box.
Now when attempting to import data into a database, the drop down list doesn't have a flat file option.
I'm trying to import a semi-comma separated text file into a SQL db. I have a field in the text file that contains decimal number. As a decimal separator it's used a comma (15,35). When i use a DTS package to create a destination table and import all rows, the field is created as a float field. In this field the decimal comma is removed so the number in SQL becomes 1535. If I change the decimal separator to (.) i works OK. But I need to get it work with comma as decimal separator. In the DTS package the field form the text file is recognised as varchar (8000). Any ideas?
I have a table with column (call it Rate) defined as decimal(18,4). This column can have any positive decimal value. When the value is less than 1 (e.g. 0.1234) strange things are happening in SSIS.
To set the scenario ...
If I do a select in Management Studio, the value is correctly displayed as 0.1234
If I do the same select from the command line via OSQL, I get .1234
If I do SELECT CONVERT(char(6), Rate) from OSQL, I get 0.1234 (which is what I want)
In SSIS I have an OLE DB Source which defines the SELECT statement to use, and that maps straight to a Flat File Destination.
The default column type in the flat file connection manager is DT_NUMERIC, Precision 18, Scale 4. I Set InputColumnWidth to 6 as that's how I need it in the flat file. The value appears in the file as .1234
I change the SELECT in the OLEDB Source to apply the CONVERT(char(6), Rate), and change the column type in the connection manager to DT_STR length 6. Output is *still* .1234
How can I get the output column in my file to show 0.1234 ??
I have large flat files that I need to import using DTS. The record counts are between 500,000 and 3000,000. Or, 16 to 116 MB. When creating the DTS package I need to use to import, the wizard is haulting at the point where I should place the fixed points for the fields. I thinks it is because, the wizard will only recognize excel or text files. I cannot save these files as either txt or xls, because of their size. does anybody have any suggestions?
I have a flatfile which is of the following format. I want to import this data into the sql server 2005 database. The alphabets at the start of each line represents the type of record. The data are position specific.
for ex in Record A, the following are the values that are based on column length 1 - (col length is 1) 249 (col length is 3) 20AUG (col length is 5) etc.. P SEA D 1 110000
We are importing Flat file data from our Mainframe system. We have a lot of money amounts coming in, but the mainframe does not store the decimals in the flat file. So for example a row in the file might look like this:
+0000007894-0000000563
Where the first value is $78.94 and the second value is -$5.63
Is there anyway to have the Flat file connection manager put in the decimal place for me, or do i have to create derived columns for each column and divide it by 100? There like 50-100 columns per file, so i'm looking for a better, quicker way.
I'm a little stuck here. How can I import a flat tab delimited file into a SQL 2005 Express table? The standard DTS and import features are not there :-(Thanks,Casey
I am trying to import into sql server from a .csv flat file i made in excel. The problem is the Primary Key. It is set to auto increment. When i leave an empty column i get: "Directcopyxform conversion error:destination does not allow null"
when i just omit the column entirely, i get a wrong datatype error because it basically tries to copy all the columns 1 shift to the left
How am i supposed to represent and auto PK in .csv file. Thanks
I can NOT get last field i.e. the date time field to import into SQL werver 2005 using import wizard.
I can manually enter the value in the table so I know it can handle data in the format it is in.. (table field is date time) but I cant get import wizard to read the file and bring in the data.. It bombs at coloumn 7... which is the date field.. It works fine if I delete the milisecond portion i.e. anything after the dot but I need to keep that information.
I am having trouble importing a flat file that was extracted from an AS400 server, into a SQL 2005 DB table using Bulk Insert. This file contains a column (field) that is of a Packed Decimal data type. Data in all other fields is displayed normally when viewing this file in a text editor such as Note Pad or Text Pad, but this one field comes up with unknown encoding: squares, thick vertical lines, basically strange characters and no numeric data.
Does anyone have any experience dealing with file of this sort?
I have a Data loading job using SSIS (Flat File to SSIS).
I been having issues with some bad data records while importing the file. (Date Column). Here is an example -- 7/31/0200 (Actually have around 600 Records of this nature)
While importing these records, the package fails as it cannot convert this "7/31/0200" string to a DATTIME Column Value.
I have a flat file source with 500,000 rows. Each row has 1 column, with about 500 characters in it. It's getting sucked into a OLEDB destination (table) in the exact same format.
Execution of this takes around 20-30 minutes, which seems silly. I read about the "fast parsing" option, but can't use it since my column is a string. Any ideas on how to speed this up?
Note: The column width for the input and output is varchar(3000). My destination table also has a varchar(3000) field. I can't imagine that is the problem, but thought I'd include it just in case.
I have created a simple package that uses a sql command to pull data from an oracle database and inserts the data into a sql 2005 table. Some of the data fields that i am pulling from contain two digits after the decimal point, however this data is lost when it gets into sql. I have even tried putting the data into a flat file, and still the data is lost.
In the package I have a ole db source connection which is the oracle database and when i do the preview i see all the data I need. I am very confused and tried a number of things to get the data into sql, but none work. Any ideas would be very helpful.
I am having problems reading from and ODBC conncetion from Oracle RDB into SSIS. I am using a DataReader source which uses a ADO.NET odbc connection to an oracle RDB database. I am having that write to a flat file. When I read integers from the source, it works just fine. When I read character data (char(48) for example), it gives me trucation errors. Is the DataReader source capable of reading char data from an odbc connection?
Here is the errors I receive:
SSIS package "Package.dtsx" starting.
Information: 0x4004300A at Data Flow Task, DTS.Pipeline: Validation phase is beginning.
Information: 0x4004300A at Data Flow Task, DTS.Pipeline: Validation phase is beginning.
Information: 0x40043006 at Data Flow Task, DTS.Pipeline: Prepare for Execute phase is beginning.
Information: 0x40043007 at Data Flow Task, DTS.Pipeline: Pre-Execute phase is beginning.
Information: 0x402090DC at Data Flow Task, Flat File Destination [792]: The processing of file "D:Documents and SettingsAdministratorDesktop est.txt" has started.
Information: 0x4004300C at Data Flow Task, DTS.Pipeline: Execute phase is beginning.
Error: 0xC020902A at Data Flow Task, DataReader Source [575]: The "component "DataReader Source" (575)" failed because truncation occurred, and the truncation row disposition on "output column "REPORT_PART_NUMBER" (789)" specifies failure on truncation. A truncation error occurred on the specified object of the specified component.
Error: 0xC02090F5 at Data Flow Task, DataReader Source [575]: The component "DataReader Source" (575) was unable to process the data.
Error: 0xC0047038 at Data Flow Task, DTS.Pipeline: The PrimeOutput method on component "DataReader Source" (575) returned error code 0xC02090F5. 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.
Error: 0xC0047021 at Data Flow Task, DTS.Pipeline: Thread "SourceThread0" has exited with error code 0xC0047038.
Error: 0xC0047039 at Data Flow Task, DTS.Pipeline: Thread "WorkThread0" received a shutdown signal and is terminating. The user requested a shutdown, or an error in another thread is causing the pipeline to shutdown.
Error: 0xC0047021 at Data Flow Task, DTS.Pipeline: Thread "WorkThread0" has exited with error code 0xC0047039.
Information: 0x40043008 at Data Flow Task, DTS.Pipeline: Post Execute phase is beginning.
Information: 0x402090DD at Data Flow Task, Flat File Destination [792]: The processing of file "D:Documents and SettingsAdministratorDesktop est.txt" has ended.
Information: 0x40043009 at Data Flow Task, DTS.Pipeline: Cleanup phase is beginning.
Information: 0x4004300B at Data Flow Task, DTS.Pipeline: "component "Flat File Destination" (792)" wrote 0 rows.
Task failed: Data Flow Task
Warning: 0x80019002 at Package: The Execution method succeeded, but the number of errors raised (6) reached the maximum allowed (1); resulting in failure. This occurs when the number of errors reaches the number specified in MaximumErrorCount. Change the MaximumErrorCount or fix the errors.
I am trying to to import a flat file into a table in my database, i get all the values right except for the date, it keeps on inserting NULL values into the date fields.
The date format in the flat file is '20070708' etc.
Does anyone know what i can do to fix this?
I've tried to change the datatype values that it imports, but it still ignores it and inserts NULL values
I have a simple Integration Services project and the problem is that decimal fields are importing as real (I'm loosing the digits behind the decimal point).
The project contains a data flow task importing a flat file (.csv) to an SQL Server destination. My .csv file has two decimal type fields. Example:
Field 1: 12345.67
Field 2: .123456
My database table that I'm importing to has two fields. The only way that I can get this data to import is to define the fields as "float" in both the text file and database table. I want the database table fields to be defined as decimal or numeric, not float:
Field 1: decimal(7,2)
Field 2: decimal(6,6)
When all fields are defined as decimal (in both the flat file and database file), I get the following results:
Field 1: 12345.00
Field 2: .000000
How does one import decimal data from a flat file (.csv)?
I'm using DTS to import data from an Access memo field into a SQL Server ntext field. DTS is only importing the first 255 characters of the memo field and truncating the rest.I'd appreciate any insights into what may be causing this problem, and what I can do about it.Thanks in advance for any help!
I am moving data from a flat file source to a SQL Server table. But I want to add a columm that IS in the destination table, but NOT in the source file. Say the table column name is XXX in destination table, and there will be a global variable called @[User::XXX] that remains constant throughout the package. I would like to put the variable value into the destination column, even though the source file does not contain the field. Is there an easy way to do this?
We have a flat file import proces which imports data from a series of unicode flat files.
The files have text qualifiers and are being imported to a table with the following format: CREATE TABLE [dsa].[OBS]( [Kundenummer] [nvarchar](10) NULL, [Navn] [nvarchar](60) NULL, [Adresse] [nvarchar](50) NULL, [PostnrBynavn] [nvarchar](50) NULL, [Kursusdato] [datetime] NULL, [Varighed] [decimal](18, 2) NULL, [Kursustype] [nvarchar](100) NULL, [Risikokoder] [nvarchar](50) NULL ) ON [PRIMARY]
In one of our files we have two rows that looks like this: "19298529";"THIS IS ROW 1";"ADDRESS 9 -13";"4200 SLAGELSE";"02-05-2006";8.00;"Kombikursus Førstehjælp - Brand 8 lek.";"37" "19448242";"THIS IS ROW 2";"ADDRESS 50";"4140 BORUP";"04-05-2006";4.00;""Fra vil selv - til kan selv". Om børn 1½ - 3 Ã¥r";"22"
Both rows are OK according to the format, but the second row actually contains the text qualifier in one of the qualified fields (""Fra vil selv - til kan selv". Om børn 1½ - 3 Ã¥r"). It's the title of a course with a comment. The proces fails on this file, and wont even redirect the row, as it does on other erroneous rows in other files we import.
We believe this is a valid text, but apparently SSIS doesn't Is this a bug or is this record not allowed? Is there a work around, and why wont SSIS redirect the row?
We believe the reason is that the field before is not text quaified (which is of course specified in the connection manager).
I'm importing data from an Access table and, of course, one field is a primary key. This field needs to be an autonumber. The problem is the data I'm importing isn't sequential.
Can I import the data, then alter the table to make the column increment or is there a way to create the table and make the field increment, but import non-sequential data?