Amy Unruh, Oct 2012
Google Developer Relations
In Getting Started with the Python Search API, you learned the basics of using full-text search in your application. Now it's time to take the next step. In this class, you'll learn how to construct more complex search queries and sort the query results in different ways.
The Search API lets your application perform Google-like full-text searches over structured data, and supports Geolocation-based queries. It can be useful in any application domain that benefits from full-text search, such as:
- Product searches in an online store. The example application used in this course implements a simple version of such an application.
- Location of nearby stores or events
- User review search
- Searching over blog posts and comments
- Document discovery
- Helpdesk answer retrieval
- Résumé search and recruiting
The Search API provides a straightforward model for indexing and searching data and for displaying the results of the search. Search can query any data, so long as that data is described by a search document. You structure data in documents using fields to describe the different types of data the document contains, and then index the document.
After documents are indexed, you can search an index via the Search API's comprehensive query language. When you query, you can specify sort orders on the results, control the presentation and content of search results, and use result cursors and offsets.
Learn how to use the App Engine Search API.
The precursor to this class, Getting Started with the Python Search API
You should also:
- Python 2.7 and the Google App Engine SDK for Python
- Familiarity with Python and the basics of App Engine applications
The course consists of the following lessons: