![]() ![]() In this section we’re going to describe the new features provided by this new release of RediSearch. This blog also announces the availability of a private preview for RediSearch 2.2 (as a private preview for a select group of our Redis Enterprise customers and as a release candidate to our community). We’ll elaborate more on all the synchronization flows when this capability is in Public Preview, but if you’re interested in this capability, don’t hesitate to get in touch now at RediSearch 2.2: Private Preview release T6: Both clusters contain the same document.T5: The synchronization process merges the operation and updates the document on both clusters.T4: A client adds the blue color to the colors array in Cluster 1, and, concurrently, another client is adding the green color to the same array in Cluster 2.T3: Both clusters contain the same document.T2: The synchronisation process replicates the document on Cluster 2.T1: A client sets a JSON document on Cluster 1.Here is an example of a succession of operations in an active-active environment with two clusters: While implementing it for most of the core data structures supported by Redis, Redis developed a strong knowledge and experience confirmed by this new implementation made for JSON.Īpplication developers can now rely on this to build geo-distributed applications using JSON documents. The implementation is based on Conflict-free Replicated Data-Type (CRDT) technology. The users can connect to the closest cluster with local read and write latencies. Active-Active allows you to replicate your database into several geographically-distributed Redis Enterprise clusters. Support for Active-ActiveĪctive-Active is a feature provided by Redis Enterprise. It is now possible to use all the expressiveness of JSONPath expressions. This new version includes a comprehensive support of JSONPath. Full support for JSONPathĪnd here is the benefit of this RUST rewriting. Giving the benefit of those implementations to Redis users was obvious and just required a mapping between the Redis module API and Rust. JSON is especially well served by the Rust community including very fast and efficient JSON serialisation and JSONPath implementation. ![]() Most of the Redis modules are written in C, C++, or Rust, which are languages of the same family. It also explains why Redis is able to achieve extremely low latencies and high throughputs. This is the reason why Redis has been historically written in C. Programs written in these languages are usually lightweight and provide the best performances. System programming languages is a family of languages oriented to efficiency. But there’s more! Let’s dive into the new goodies. This version has three major features, namely, full support of JSONPath expression, support for Active-Active (with Redis Enterprise), and the ability to index, query, and use full-text search on JSON documents with RediSearch. We announced this version at RedisConf 2021, and today we’re happy to announce that it’s available as a private preview for a select group of our Redis Enterprise customers-and as a release candidate to our community. When you don’t have RedisJSON, you model nested documents in Redis by using the String data structure. Redis Cloud databases using at least one module (May 2021) Finally, we’ll show you how to quickly get started. The ability to index, query, and use full-text search on JSON documents using RediSearch is the coolest new feature of this release. After that we’ll dive into the new capabilities section of this private preview. In this blog, we’ll give you an overview of the current RedisJSON capabilities. Today, we’re happy to announce the private preview of these capabilities. In April, we made several announcements at RedisConf related to JSON, indexing and full-text search capabilities. This is why we think of Itamar Haber, technology evangelist at Redis, as a visionary when he wrote the first version 4 years ago. 1) The docker images of RedisJSON and RediSearch (bundled with Redis) are pulled more than 2000 times every single day. RedisJSON and RediSearch are by far the most popular Redis modules in our cloud.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |