Mapping
Mapping is a fundamental skill for harnessing the full power of Boost.space Integrator. See this section if you want to know how to do mapping properly. Dive into the intricacies of item data types, such as text, numbers, booleans, dates, and more. Explore how to handle collections and arrays effectively. Learn how validation plays a pivotal role in ensuring your data is correctly processed. Discover the art of working with files, from mapping file names to handling file content.
Arrays in automation often contain multiple elements, which can be accessed using specific indexes or keys. By mapping elements, such as an email attachment or metadata, users can retrieve desired values with functions like map() and get(), allowing for precise manipulation of array data.
Discover how to effectively map modules in your integration scenarios. This comprehensive guide covers identifying data, using the mapping editor, modifying data, validation, and debugging for smooth automation.
Boost.space Integrator supports various item data types like Text, Number, Boolean, Date, Time, Buffer, Collection, and Array. Each type has specific validation requirements, ensuring data integrity. For example, Text is validated for length, while Date values must follow the ISO 8601 format.
Boost.space Integrator adjusts received data to match expected formats. For instance, when expecting an array, received arrays remain unchanged, while other types are adapted accordingly.
The article presents a range of date formats to illustrate the versatility and flexibility of handling date data within Boost.space Integrator.
This article explains how to work with files in Boost.space Integrator, focusing on mapping file names and content between modules. It provides steps for mapping files and offers an example of mapping photos from Facebook to Dropbox. Additionally, it outlines the maximum file size limit based on subscription plans.