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This site contains the technical documentation for OpenSearch, the Apache 2.0-licensed search, analytics, and visualization suite with advanced security, alerting, SQL support, automated index management, deep performance analysis, and more.
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OpenSearch is well-suited to the following use cases:
- Log analytics
- Real-time application monitoring
- Clickstream analytics
- Search backend
Component | Purpose |
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OpenSearch | Data store and search engine |
OpenSearch Dashboards | Search frontend and visualizations |
Security | Authentication and access control for your cluster |
Alerting | Receive notifications when your data meets certain conditions |
SQL | Use SQL or a piped processing language to query your data |
Index State Management | Automate index operations |
KNN | Find “nearest neighbors” in your vector data |
Performance Analyzer | Monitor and optimize your cluster |
Anomaly Detection | Identify atypical data and receive automatic notifications |
Asynchronous Search | Run search requests in the background |
You can install OpenSearch plugins individually or use the all-in-one packages. Most of these OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
For specifics around the project, see the FAQ.
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Install and start Docker Desktop.
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Run the following commands:
docker pull opensearchproject/opensearch:{{site.opensearch_version}} docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:{{site.opensearch_version}}
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In a new terminal session, run:
curl -XGET --insecure https://localhost:9200 -u admin:admin
To learn more, see Install and configure OpenSearch and Install and configure OpenSearch Dashboards.
See opensearch.org/docs/javadocs/.
OpenSearch is supported by Amazon Web Services. All components are available under the Apache License, Version 2.0 on GitHub.
The project welcomes GitHub issues, bug fixes, features, plugins, documentation---anything at all. To get involved, see Contributing on the OpenSearch website.