As data objects are being saved or updated with the API requests some properties of the objects may not have a value assigned to them. It may be necessary that for those properties a default value is assigned. This is identical to how relational databases may have a default value for a column.

When saving or updating a data object in a persistent storage, it is often necessary to make sure a property follows a particular data format. For instance, properties like email address, a US phone number, a bank account number, a URL and many others may be validated with regex (a regular expression). Backendless makes it…

In another post, we described how to declare a relationship in a data table schema with a geopoint. Now that you know how to create a table column that contains one or more geopoints, we are going to show how to populate it with data.

In another post, we described a feature where you can import data to Backendless using CSV files. In that post, we used CSV files that already had the data type defined for each column.

If a data table in your application has a column of the DATETIME type, the values for that column will be rendered by Backendless Console in mm/dd/yyyy hh:mm:ss format. For many applications, and specifically in some industries like telecommunications or finance, it is important to see the date objects in a “neutral” format and often…

In a previous feature, we described how to manually create data tables in Backendless Console. In this post, we will show how to set up a data table schema.

The article that shows how to store objects in Backendless also demonstrated dynamic data table creation. That approach is called “code first” – where the code dictates the database schema.

Backendless REST Console is a tool capable of driving REST queries against Data Service. It is useful when you need to validate a REST command or for testing and diagnostics purposes. REST Console is available in a dedicated tab on the Data screen of Backendless Console.