You fill in the blanks, and you are given the source code for the form, and a page to display the information in the database. Also the database is ready to download with all fields in your form.

This article describes several ways to use a SQL calculated field and the ORDER BY clause to arrange a recordset in random order. It provides a simple tool for verifying that the results are uniformly random. Also shows a technique for bubbling records with certain attributes to the top of an otherwise randomized list.

This article wraps up the details of the real time data grid that started in part one of this two-part article. It looks at the JavaScript code that contacts our database server and allows us to update data in a database without actually refreshing the page.

The part one of this two-part article shows how to create an ASP class that allows us to work with our databases through a web browser. It will allow us to update and delete records dynamically using JavaScript and XMLHTTP, without ever having to refresh the page.

This writing will discuss several things to do to ensure the application migration carried on in a good way, particularly for ASP Database applications and to overcome possible problems might occurred. Basically, migrating ASP to Linux means you have to convert to database supported by Linux platforms. Currently, Chili!Soft ASP is already supporting MS Access but not all web hosting companies install this feature. They prefer to use more common database in Linux such as MySQL and PostgreSQL. Pay attention to some Chili!Soft specific ADO methods and properties, since there are slight differences with IIS ASP. You might need to convert some codes in your applications to make it run in Chili!Soft ASP.

Explains everything in detail you'll ever need to know about creating Stored Procedures in Access Database and then calling from within ASP. Select, Update, Insert and Delete Stored Procedures are described. Sample code and database available for download.

Learn how to search a database with keywords.

This example / tutorial explains how to use the LIKE operator to perform a partial match on an Access database.

Providing search capabilities to a db enables users to query on whichever element you target them to. However allowing users to target which portion of the db they would like to query gives extra value. In this example, utilizing our db of US States (state, statename, and capital) the user can search in any of three fields (by dropdown menu input) rather than the application targeting one specific table element. Note: The db only has 50 observations in it, so it is better to search on single or double letter combinations.

Want to add value to your current search? Allow your users to search from within search results. As databases grow the necessity for the user to continually narrow a search to the item that they truly want will grow also. The following example utilizes a db on U.S. State capitals. Upon the first search two radio buttons will appear indicating a search (default) or a search within the current results. Searching within the current results will take the first search and add it to the new search and so on.