Table of contents
1.
Introduction
2.
Benefits of RediSearch
3.
References of RediSearch
3.1.
Blog posts
3.2.
Course
3.3.
Videos
3.4.
Official Docs Topics Wise
4.
Frequently Asked Questions
4.1.
What is Redis?
4.2.
What are some features of Redis?
4.3.
What is RediSearch?
4.4.
What are some features of RediSearch?
4.5.
Is RediSearch open source?
5.
Conclusion
Last Updated: Mar 27, 2024
Easy

References of RediSearch

Introduction

In this blog, we will start with a brief introduction to RediSearch and its benefits and see references for RediSearch.

RediSearch is a powerful text search and secondary indexing engine built as a Redis module on top of Redis. RediSearch is a Redis module that extends the database's query capabilities, secondary indexing, and full-text search.

RediSearch for Redis provides secondary indexing, full-text search, and a query language. These features enable multi-field queries, aggregation, exact phrase matching, and numeric filtering for text queries.

source: redis.com/modules/redis-search/

 

It does not use Redis' internal data structures, unlike Redis search libraries. RediSearch enables advanced search features with high performance and a small memory footprint by using its highly optimized data structures and algorithms. It can perform both simple text searches and complex structured queries, filtering by numeric properties and geographical distances.

We are done with the introduction. Let's move to the benefits of using RediSearch.

Benefits of RediSearch

Following are some benefits of RediSearch:

  • Predictable, high performance with low latency times: RediSearch delivers continuous results with no performance degradation while maintaining concurrent queries and indexing loads. Redisearch is written in C and implemented as a Redis module, allowing it to write directly to DRAM on a server without any intermediate interpretation or layers. It implements specialized data types optimized for indexing, searching, and querying as a Redis module. This results in highly high real-time indexing performance, with index items available for querying within a millisecond.
  • Reduced infrastructure costs: Because RediSearch does not require a cache, it reduces the overhead required to run the search engine. Redisearch scales easily to multi-node configurations while efficiently indexing and searching billions of documents at high performance, making it especially suitable for simultaneous and instantaneous indexing and search scenarios.
  • Operational simplicity: RediSearch inherits Redis' performance and operational simplicity, but it doesn't have to deal with years of incremental bloat due to its clean-sheet reimagining of search and secondary indexing.

 

We are done with the benefits. Let's move to References for RediSearch.

References of RediSearch

Following are some references of RediSearch category wise:

Blog posts

  1. Introducing RediSearch 2.0
  2. Getting Started with RediSearch 2.0
  3. Mastering RediSearch / Part I
  4. Mastering RediSearch / Part II
  5. Mastering RediSearch / Part III
  6. Building Real-Time Full-Text Site Search with RediSearch
  7. RediSearch vs. Elasticsearch
  8. RediSearch Version 1.6 Improves Performance
  9. RediSearch 1.6 Improves Performance Up to 64%

Course

  1. RU203:  An online RediSearch course from Redis University.

Videos

  1. RediSearch? - RedisConf 2020
  2. RediSearch Overview - RedisConf 2019
  3. RediSearch & conflict-free replicated data type (CRDT) - Redis Day Tel Aviv 2019

Official Docs Topics Wise

  1. Query syntax: Details of the query syntax
  2. Stop-words: Stop-words support
  3. Aggregations: Details of FT.AGGREGATE. Grouping and projections, and functions
  4. Tokenization: Controlling Text Tokenization and Escaping
  5. Sorting: Support for sorting query results
  6. Tags: Details about tag fields
  7. Highlighting: Highlighting full-text results
  8. Scoring: Full-text scoring functions
  9. Extensions: Details about extensions for query expanders and scoring functions
  10. Stemming: Stemming support
  11. Synonym: Synonym support
  12. Payload: Payload support(deprecated)
  13. Spellchecking: Query spelling correction support
  14. Phonetic: Phonetic matching
  15. Vector similarity: Details about vector fields and vector similarity queries

Since We're finished with the blog; let's move to faqs.

Frequently Asked Questions

What is Redis?

Redis is the world's most popular key-value store and has a wide adoption rate due to its high speeds and low latency and a flexible feature set aimed at app developers.

What are some features of Redis?

Some of the features of Redis are High performance, Flexible data structure, simplicity, ease of use, replication and persistence, high availability, high scalability, and open source.

What is RediSearch?

RediSearch is a Redis module that enhances the database with query ability, secondary indexing, and full-text search. Secondary indexing, full-text search, and query language are all available.

What are some features of RediSearch?

RediSearch's features include unified search and analytics, high performance, horizontal scalability, and enterprise-grade reliability.

Is RediSearch open source?

Yes, RediSearch is open source, with the 3-Clause-BSD license.

Conclusion

In this article, we have extensively discussed RediSearch and its references.

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