Category: Basics
Articles tagged Basics
Live log and prosper: Elasticsearch newly specialized logsdb index mode
Elasticsearch’s latest innovation in log management, logsdb, cuts the storage footprint of log data by up to 65%, enabling observability and security teams to expand visibility without exceeding their budget while keeping all data accessible and searchable.
Phrase synonyms like a boss with the Elasticsearch synonyms API
Learn how to use phrase synonyms with the synonyms API in real scenarios.
Faster integration tests with real Elasticsearch
Learn how to make your automated integration tests for Elasticsearch faster using various techniques for data initialization and performance improvement.
Semantic search implementation: Building a recipe search with Elasticsearch
Implementing of semantic search in the context of e-commerce websites.
Efficient bitwise matching in Elasticsearch
Explore six approaches to encoding and matching binary data in Elasticsearch, including terms encoding (my preferred approach), boolean encoding, sparse bit position encoding, integer encoding with exact matching, integer encoding with scripted bitwise matching, and integer encoding with ESQL for bitwise matching, with practical examples and use cases.
Combining sparse, dense and geo fields in Elasticsearch
Explore Elasticsearch data fields, such as sparse, dense & geo fields, and how to combine them to produce in-depth analytics on your data.
Elasticsearch new semantic_text mapping: Simplifying semantic search
Learn how to use the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch.
Simplifying data lifecycle management for data streams
Elasticsearch data streams can now be managed by a data stream property called lifecycle. Learn to set up and update a data stream lifecycle here.
Storage wins for time-series data in Elasticsearch
Explore Elasticsearch's storage improvements for time series data and best practices for configuring a TSDS with storage efficiency.
Automatically updating your Elasticsearch index using Node.js and an Azure Function App
Learn how to update your Elasticsearch index automatically using Node.js and an Azure Function App. Follow these steps to ensure your index stays current.
Evaluating scalar quantization in Elasticsearch
Learn how scalar quantization can be used to reduce the memory footprint of vector embeddings in Elasticsearch through an experiment.
