Elasticsearch
Scaling Elastic Stack
Learn different techniques and settings to get the most out of your Elastic Stack setup in production
How to Integrate Elasticsearch With Mysql?
Integrating Elasticsearch with MySQL allows you to index and search data from a relational database in Elasticsearch, enabling powerful full-text search capabilities and analytical queries. There are several ways to integrate Elasticsearch with MySQL, depending on your use case, including syncing data between MySQL and Elasticsearch or querying both systems.
Removing Old Indices in Elasticsearch
Removing old indices in Elasticsearch is important for managing disk space and maintaining optimal performance. Here are several methods to delete old indices in Elasticsearch:
Sync Postgresql Data With Elasticsearch
Syncing PostgreSQL data with Elasticsearch involves setting up a system that regularly updates Elasticsearch with changes from a PostgreSQL database. This can be achieved through several methods, including using data synchronization tools, writing custom scripts, or employing dedicated ETL (Extract, Transform, Load) tools.
Change Default Mapping of String to "Not Analyzed" in Elasticsearch
To change the default mapping of string fields to "not analyzed" in Elasticsearch, especially in Elasticsearch 5.x and earlier (when string was a field type), you would typically modify the mappings of your indices. In Elasticsearch 6.x and later, string fields were replaced by text (for analyzed content) and keyword (for not-analyzed content). Thus, the approach would differ slightly depending on the Elasticsearch version you're using.
Error: Index_not_found_exception
The index_not_found_exception error in Elasticsearch occurs when a request is made to an index that does not exist. This error typically happens when you're trying to query, delete, or index documents into an Elasticsearch index that hasn’t been created yet or was accidentally deleted.
7 Ways to Optimize Your Elastic (ELK) Stack in Production
This article explores 7 key strategies to help you navigate the complexities of Elastic Stack management management