Real-time full-text search with Luwak and Samza

Traditionally, search works like this: you have a large corpus of documents, and users write ad-hoc queries to find documents within that corpus. Documents may change from time to time, but on the whole, the corpus is fairly stable. However, with fast-changing data, it can be useful to turn this model on its head, and search over a stream of documents as they appear. For example, companies may want to detect whenever they are mentioned in a feed of news articles, or a Twitter user may want to see a continuous stream of tweets for a particular hashtag.