Category: Full Text Search
Customer 360 – Part 4 – Analyzing Your Data
OK, so we’ve looked at building aspects of a Customer 360 solution in previous posts. We looked at an overview of what’s involved in part 1, and since you’re reading this, I’m assuming that the threat of having to think...
Building autoComplete or typeAhead functionality using Full Text Search
What is autoComplete? Autocomplete as the wikipedia says “Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing” It is also known as Suggestions or Type Ahead or...
FTS Performance Improvements in 6.5.0 – Part 2
For all those who are restlessly eager, let me reveal the deep dark secret of all the performance optimisations in FTS in 6.5.0 is, “ Do less And Do it less often ** ” And I am sure you...
A Glimpse of FTS Performance Improvements in 6.5.0 – Part 1
Ever since the nimbler, refined scorch indexing format released in Couchbase 6.0.0, the FTS team has been pretty excited about the future optimisation potential unlocked with the newer indexing scheme. With the 6.5.0 release, we have essentially embarked on...
Scorch Index Type – Why does it matter?
Index types in Full Text Search (FTS) – refers to the collective specification of the inverted index format and it’s storage aspects. Scorch is the advanced and evolving index type. But before delving further into the details of scorch, its...
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: compare 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...