Implement Full-text Search in Couchbase 6

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Kishan Iyer

2:48:28

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01 - Course Overview

01 - Course Overview.mp4

02:23

02 - Getting Started with Full-text Search

02 - Course Prerequisites and Outline.mp4

02:18

03 - Couchbase FTS (Full Text Search).mp4

07:09

04 - Query Types for Full Text Searches.mp4

02:08

05 - Relevance in Couchbase FTS.mp4

07:03

06 - Demo - Loading Sample Data into a Cluster.mp4

03:26

07 - Demo - Creating a Full Text Search Index.mp4

06:11

08 - Demo - Searching with a Partial Index.mp4

03:22

03 - Searching with Full-text Indexes and Query Strings

09 - Query Strings in Full Text Searches.mp4

02:37

10 - Demo - Search Scores.mp4

04:08

11 - Demo - Searching for Phrases.mp4

03:05

12 - Demo - Searching within Fields.mp4

05:47

13 - Demo - Boosting Search Criteria.mp4

05:06

14 - Demo - Range Searches.mp4

02:49

04 - Performing Full-text Search Using REST APIs and N1QL

15 - Submitting Search Queries Programatically .mp4

05:07

16 - Demo - Full Text Searches from N1QL Queries.mp4

08:39

17 - Demo - Searches Using Prefixes and Regular Expressions.mp4

06:40

18 - Demo - Tweaking the Query Object.mp4

04:16

19 - Demo - The Conjuncts and Disjuncts Operators.mp4

07:06

20 - Demo - Searching with a Fuzziness Factor.mp4

03:37

21 - Demo - Using the Full Text Search REST API.mp4

06:14

22 - Demo - Formulating a REST Call from the UI.mp4

03:58

05 - Configuring Full-text Search Indexes

23 - Indexing Specific Documents and Fields.mp4

06:44

24 - Demo - Indexing Documents Based on Type.mp4

04:30

25 - Demo - Excluding Documents of a Type.mp4

01:52

26 - Demo - Child Fields and an Index.mp4

03:23

27 - Demo - The store Setting for a Child Field.mp4

01:58

28 - Demo - Excluding Fields from an Index.mp4

04:08

29 - Demo - Child Mappings in an Index.mp4

04:02

06 - Using Custom Analyzers and Filters in Full-text Search Indexes

30 - Analyzers in Full Text Search.mp4

07:29

31 - Demo - Defining a Custom Analyzer.mp4

05:14

32 - Demo - The Camel-case Analyzer.mp4

05:19

33 - Demo - Defining a Custom Filter.mp4

06:16

34 - Additional Features of Full Text Indexes.mp4

04:38

35 - Demo - Displaying All Fields in Search Results.mp4

03:09

36 - Demo - Disabling the Indexing of Dynamic Fields.mp4

02:48

37 - Demo - Replication and Partition Settings.mp4

03:49

Description

Beyond indexes for keyword searches, Couchbase also offers full-text indexes to search within document text using natural language capabilities. This course gives you a conceptual and hands-on understanding of full-text searches in Couchbase.

What You'll Learn?

When using Couchbase to store documents containing text data, you would like the ability to search within those documents with natural language capabilities. This is precisely what the Couchbase Full Text Service has to offer. In this course, Implement Full-text Search in Couchbase, you will delve into how full-text indexes work in Couchbase and how these indexes can be created, used and configured.

First, you will begin by exploring how full-text searches in general rank documents for each query which is sent to them. This includes concepts such as term frequency and inverse document frequency. Next, you will get hands-on and build full-text indexes in a Couchbase cluster and submit a variety of queries to them.

Then, you will move on to how full-text searches are likely to be performed from an application - by submitting search requests using N1QL queries and the Couchbase REST API.

Finally, you will explore the use of analyzers and filters to only include specific words and terms within a full-text index.

When you are finished with this course, you will be well-versed in the options available to build, use, and configure full-text indexes in Couchbase. This will give you the skills needed to speed up text-based searches against the data in your Couchbase cluster, and deliver better search results to your end users.

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Database Programming

Kishan Iyer

Instructor's Courses

I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.