This guide explores REST API commands to fetch cluster information and metadata from Elasticsearch for monitoring, debugging, and managing indices and shards.
Welcome back! In this guide, we explore several REST API commands that allow you to fetch essential cluster information and metadata from your Elasticsearch deployment. These commands are invaluable for monitoring, debugging, and managing Elasticsearch indices, shards, disk usage, and more.
The following commands help you gather comprehensive insights including cluster health, detailed statistics, index settings, and more.
For additional metadata about your cluster, such as statistics and configuration settings, execute the following commands in your development tool:
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GET /_cluster/healthGET /_cluster/statsGET /_cluster/settingsGET /_cat/indices
These commands return detailed information about the cluster’s health, metrics, configuration settings, and a list of all indices with their current statuses. For example, while a GeoIP index might be marked as green (healthy), another index like a school index could be yellow.
If you need to adjust dynamic settings for an index (for example, increasing the number of replicas), use a PUT request. The following command updates the dynamic setting for the “products” index:
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PUT /products/_settings{ "index.number_of_replicas": 2}
A successful update will return an acknowledgment. Keep in mind that:
Not all settings are dynamic. Many cluster-wide settings are persistent and must be modified in configuration files rather than through the REST API. Also, certain cluster-wide settings cannot be deleted directly using REST API calls.
Retrieve cluster health, comprehensive statistics, and configuration settings.
List all indices and review their health statuses.
Create a new index (“products”) and insert a document.
Fetch specific index settings and detailed statistics.
Update dynamic index settings, such as the number of replicas.
These Elasticsearch CRUD commands and REST API endpoints are essential tools for administering and troubleshooting your Elasticsearch cluster in both testing and production environments.For more information on Elasticsearch management and best practices, check out the Elasticsearch Documentation.