Elasticsearch, the popular open-source search and analytics engine, has taken a significant leap forward with its latest release, Elasticsearch 8.10. This major update introduces a host of new features and improvements that promise to enhance your search and data analytics experience. In this article, we will delve into the exciting changes brought about by Elasticsearch 8.10 and explore the impact these updates will have on your applications.
Elasticsearch 8.10: A Major Release with Exciting New Features
Some of the most notable changes in Elasticsearch 8.10 include:
Parallel K-Nearest Neighbors (KNN) Search
Elasticsearch 8.10 now supports parallel KNN search across segments. This means that KNN queries will be faster on shards that are made of more than one segment.
Improved Search Response for Synchronous and Asynchronous Searches
Elasticsearch 8.10 now includes status and error details in the _clusters section of the search response for both synchronous and asynchronous searches. This information can be used to determine to what extent the search results might be usable and if any follow-up action is needed to reduce errors.
Programmatic Personalization of Search Results
Elasticsearch 8.10 makes it easier to personalize search results using query rules. Query rules allow you to define criteria that should be used to promote or filter documents in the search results.
Improved Support for Knowledge Bases and Communication Systems
Elasticsearch 8.10 includes new connectors for knowledge bases and communication systems, such as Confluence, Jira, and Slack. This makes it easier to index and search data from these systems.
Improved Performance and Scalability
Elasticsearch 8.10 includes a number of performance and scalability improvements, such as support for larger indices and faster search queries.
Impact of the Changes
The new features in Elasticsearch 8.10 should provide a number of benefits to users, including:
- Faster KNN queries for shards that are made of more than one segment.
- More informative search responses for synchronous and asynchronous searches.
- The ability to personalize search results using query rules.
- Easier integration with knowledge bases and communication systems.
- Improved performance and scalability.
Overall, Elasticsearch 8.10 is a major release that includes a number of useful new features and improvements. It is a recommended upgrade for all Elasticsearch users.
Additional Details about New Features in Elasticsearch 8.10
Parallel KNN Search
KNN search is a type of search that finds the documents in an index that are most similar to a given query vector. KNN search is often used for applications such as product recommendation and image search.
In previous versions of Elasticsearch, KNN search was performed sequentially across the segments within each shard. This could be slow for shards that were made of more than one segment.
In Elasticsearch 8.10, KNN search can now be performed in parallel across the segments within each shard. This means that KNN queries will be faster for shards that are made of more than one segment.
Improved Search Response for Synchronous and Asynchronous Searches
In previous versions of Elasticsearch, the search response for synchronous and asynchronous searches did not include status and error details for each cluster involved in the search. This could make it difficult to determine to what extent the search results might be usable and if any follow-up action was needed to reduce errors.
In Elasticsearch 8.10, the search response for synchronous and asynchronous searches now includes status and error details for each cluster involved in the search. This information can be used to determine to what extent the search results might be usable and if any follow-up action is needed to reduce errors.
Programmatic Personalization of Search Results
In previous versions of Elasticsearch, it was possible to personalize search results using synonyms and boosting queries. However, this was a manual process and could be difficult to maintain.
In Elasticsearch 8.10, it is now possible to personalize search results using query rules. Query rules allow you to define criteria that should be used to promote or filter documents in the search results. Query rules can be based on a variety of factors, such as the user’s identity, the context of the search, and the content of the documents.
Improved Support for Knowledge Bases and Communication Systems
In previous versions of Elasticsearch, it was possible to index and search data from knowledge bases and communication systems using custom connectors. However, this could be a complex and time-consuming process.
In Elasticsearch 8.10, it is now easier to index and search data from knowledge bases and communication systems using new connectors for Confluence, Jira, and Slack. These connectors make it easy to get started with indexing and searching data from these systems without having to write custom code.
Improved Performance and Scalability
Elasticsearch 8.10 includes a number of performance and scalability improvements, such as support for larger indices and faster search queries. These improvements make Elasticsearch 8.10 a good choice for applications that need to handle large amounts of data or that need to provide fast search results.