I want to import the flat file using SSIS. My flat file has 50 columns but no column header. So it shows like Column 0, Column 1, and so on. I don't want to manually assign column name using the advanced editor. Is there a way to dynamically assign 50 column names. So that Column 0 = Client , Column 1 = Date and so on.
2 Answers
Option 1 would be to install the BI Developer Extensions and use the "Create Fixed Width Columns" tool https://bideveloperextensions.github.io/features/CreateFixedWidthColumns/
Option 2 Define your flat file with Biml and generate your package (and connection manager) there. I have plenty of examples of doing this in Biml
In addition to @billinkc answer, there are other options if you are familiar with C#:
(a) Using SQL Server Client SDK assemblies
This is the official traditional way to create ssis packages programmatically, there are many link on the internet that you can refer to such as:
- Creating a Package Programmatically
- Samples for creating SSIS packages programmatically
- Creating and Executing an SSIS Package Programmatically
- Building Packages Programmatically
(b) Using EzApi – Alternative package creation API
EzAPI is a .NET library written in C# by Evgeny Koblov one of the testers on the SSIS team to abstracts away a lot of the cumbersome low-level coding needed to create SSIS packages XML directly in a programming language
There are many link on the internet that you can refer to such as:
- EzAPI – Alternative package creation API
- EzAPI Overview
- EzApi a C# library for creating SSIS packages programatically
- Getting Started with EzAPI
(c) Using SchemaMapper class library
Recently i started a new project on Git-Hub, which is a class library developed using C#. You can use it to import tabular data from excel, word , powerpoint, text, csv, html, json and xml into SQL server table with a different schema definition using schema mapping approach. check it out at:
You can follow this Wiki page for a step-by-step guide:
You can use this library to read from flat file and import into SQL with a few lines of code*.
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