Data Infrastructure
Elasticsearch & OpenSearch
2 articles from official documentation
Practitioner2 articles
data infraelasticsearchPractitioner
Mastering Elasticsearch Field Mappings: Update Like a Pro
Field mappings in Elasticsearch are crucial for defining how your data is indexed and searched. The update mapping API allows you to add new fields and properties on the fly, but understanding its parameters is key to avoiding pitfalls. Dive in to learn how to effectively manage your mappings.
- →Use the update mapping API to add new fields without recreating indices.
- →Configure `allow_no_indices` and `ignore_unavailable` to manage errors effectively.
5 min read·Official Docs
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Running Elasticsearch in Production: Key Insights and Strategies
Elasticsearch is a powerful tool for managing and analyzing large volumes of data, but running it in production requires careful planning. Understanding distributed architecture and leveraging features like cross-cluster replication can make all the difference in maintaining availability and performance.
- →Leverage distributed architecture to ensure high availability and scalability.
- →Utilize cross-cluster replication for quick recovery and data integrity.
5 min read·Official Docs
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