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Google made a wide deployment of standards-compliant, cross browser Ajax with Gmail (2004) and Google Maps (2005). [10] In October 2004 Kayak.com's public beta release was among the first large-scale e-commerce uses of what their developers at that time called "the xml http thing". [11] This increased interest in Ajax among web program developers.
Examples of these include Search, Gmail, Translate or Google Maps. Third-party apps can use these APIs to take advantage of or extend the functionality of the existing services. The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given).
The code generated by RJS was usually loaded using Ajax, e.g. by using Ajax-enabled helper methods Ruby on Rails provides, such as the link_to_remote helper. It was replaced by jQuery as of Rails 3.1 [8] Many of the Ruby on Rails Ajax-enabled helper methods used to work by using Prototype to perform an Ajax request in older versions of Rails.
Gmail allows users to conduct advanced searches using either the Advanced Search interface or through search operators in the search box. Emails can be searched by their text; by their ‘From’, ‘To’ and ‘Subject’ fields, by their location, date and size; by associated labels, categories and circles, by whether or not the message is read, and by whether or not the message has an ...
XMLHttpRequest is a component of Ajax programming. Prior to Ajax, hyperlinks and form submissions were the primary mechanisms for interacting with the server, often replacing the current page with another one. [2]
Comet is known by several other names, including Ajax Push, [4] [5] Reverse Ajax, [6] Two-way-web, [7] HTTP Streaming, [7] and HTTP server push [8] among others. [9] The term Comet is not an acronym, but was coined by Alex Russell in his 2006 blog post.
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A web page script is able to contact the server for storing/retrieving data without downloading an entire web page. The practice became known as Ajax in 2005. In earlier computing models like client-server, the processing load for the application was shared between code on the server and code installed on each client locally.