flat-file

I am trying to import data from a utf-8 encoded flat file into SQL Server 2008 using SSIS. This is what the end of the row data looks like in Notepad++: I have a couple more images showing what the file connection manager looks like: You can see that the data shows correctly in the file connection manager preview. When I try to import this data, no rows import. I get an error message indicating that the row delimiter was not found. You can see in the file connection manager images that the header row delimiter and the row delimiter are both set to {LF} . This was sufficient to generate the

What are the best practices around creating flat file database structures in PHP? A lot of the more mature PHP flat file frameworks I see out there attempt to implement SQL-like query syntax, which is over the top for my purposes in most cases (I would just use a database at that point). Are there any elegant tricks out there to get good performance and features with a small code overhead? w-ll Well, what is the nature of the flat databases. Are they large or small. Is it simple arrays with arrays in them? if its something simple say userprofiles built as such: $user = array("name" => "dubayou

Have a pretty straight forward SSIS package: OLE DB Source to get data via a view, (all string columns in db table nvarchar or nchar). Derived Column to format existing date and add it on to the dataset, (data type DT_WSTR). Multicast task to split the dataset between: OLE DB Command to update rows as "processed". Flat file destination - the connection manager of which is set to Code Page 65001 UTF-8 and Unicode is unchecked. All string columns map to DT_WSTR. Everytime I run this package an open the flat file in Notepad++ its ANSI, never UTF-8. If I check the Unicode option, the file is UCS-2

If I have a static database consisting of folders and files, would access and manipulation be faster than SQL server type databases, considering this would be used in a CGI script? When working with files and folders, what are the tricks to better performance? HerbN I'll add to the it depends crowd. This is the kind of question that has no generic answer but is heavily dependent on the situation at hand. I even recently moved some data from a SQL database to a flat file system because the overhead of the DB, combined with some DB connection reliability issues, made using flat files a better

In SSIS, I try to load data from a flat file. The flat file have fixed width columns, but some column are not present in a row (a column can have a CRLF, which must be a new line) like this a b c the first rowok<CRLF> iu jjrjdd<CRLF> this is a newline<CRLF> How I can have exactly the same number of line and exact data in my output ? I setup a flat file connection, of ragged right type. In this sample, row 1 is correctly retrieve, but for row 2, it didn't recognize CRLF, and put in b column all the 3rd row ... thanks in advance Regards, Xavier Workaround In the flat file connection manager read

There are few questions related to this topic on stackoverflow, But I didn't get the proper answer. I have some doubts on performance of flat files, Is it better to use flat files instead of SQLite ? Can anybody have performance statistics ? Or example of proper way to code flat file in android. Aside from performance benefits, here's a simple list of advantages of using SQLite rather than flat file: You can query items as you wish -- don't need to load all of them and select which ones you need. Deleting records is a much less painful process. No rewriting of whole files into wherever.