Category: Full Text Search
Approaches to Query Optimization in NoSQL.
A man returned home after walking around the globe for eleven years. Next day, when he told his wife he’s going to the corner store, she asked him: “are you taking the short route or the long one?”. Queries can...
Search and Rescue: 7 Reasons for N1QL (SQL) developers to use Search
People don’t want a four key index. They need a four-ms response. Ted Levitt Application development is demanding. Each application is trying to progress on behalf of the customer — searching for the right product or the right form, ordering,...
N1QL and SEARCH: How to Leverage Full-Text Index(FTS) in N1QL
The one constant challenge for many application developers with relational databases is the query performance. It is by far the most elusive feature, because the means to resolve the query performance are often limited to what the relational databases can...
Searching JSON: comparing text search in Couchbase and MongoDB.
“Apps without search is like Google homepage without the search bar.” It’s hard to design an app without a good search. These days, it’s also hard to find a database without a built-in search. MySQL to NoSQL, Sybase to Couchbase,...
Full Text Search Best Practices – Part 1
Full Text Search – Indexing Tips Understanding the Couchbase Full Text Search (FTS) indexing options and tuning those are essential for building the right index for the job at hand. The right index here refers to a lean and rich enough...
Announcing Couchbase Server 6.0 with Analytics
We are proud to announce that Couchbase Server 6.0 is now available, with the central theme of helping reduce the time to insight from enterprise applications. As part of this release, Couchbase Analytics service is now officially available. After two...
What is fuzzy matching and how to use it correctly
Fuzzy matching allows you to identify non-exact matches of your target item. It is the foundation stone of many search engine frameworks and one of the main reasons why you can get relevant search results even if you have a...
Building a Shazam-like app to understand how Tokenizers and Filters work | FTS Part 2
In the previous blog post, we talked about why full-text search is a better solution at scale to implement a well-designed search in your application. In this second part, we are going to deep-dive on the Inverted Index and explore...
Why you should avoid LIKE % | Deep Dive on FTS – Part 1
Search was probably one the most overlooked features in past applications. However, in recent years, it has really gotten all the attention it deserves as we have finally realized how it can increase sales or shape user’s behavior and engagement....
Announcing Couchbase Server 6.0 Beta
The innovation engine at Couchbase is in full swing and we’ve made significant updates in the 6.0 beta to the Analytics, Eventing, and Full-Text Search services. Couchbase Analytics Service is now officially in beta – it’s been 2 years since...