Using OpenSearch after Elasticsearch
Introduction
- Overview
- OpenSearch: Open-source fork of Elasticsearch 7.10.2, maintained by AWS.
- Origin: Forked due to licensing changes in Elasticsearch.
- Objective
- Understand key features of OpenSearch.
- Learn how to migrate and leverage OpenSearch
- Explore differences and enhancements over Elasticsearch.
Key Features of OpenSearch
- Open-Source Licensing
- Apache 2.0 License ensures continued open-source development.
- Enhanced Security
- Built-in security features such as RBAC, encryption, and audit logging.
- Advanced Analytics
- Anomaly detection, alerting, and reporting capabilities.
- Compatibility
- Fully compatible with Elasticsearch 7.10.2 indices and APIs.
Migration from Elasticsearch to OpenSearch
- Preparation
- Evaluate current Elasticsearch setup.
- Backup all indices and configurations.
- Migration Steps
- Snapshot and Restore: Create a snapshot in Elasticsearch and restore in OpenSearch.
- Reindexing: Use the Reindex API to transfer data.
POST /_reindex { "source": { "remote": { "host": "http://source_elasticsearch:9200" }, "index": "source_index" }, "dest": { "index": "destination_index" } }
- Post-Migration Validation
- Verify data integrity and cluster health.
- Ensure all applications are pointing to the new OpenSearch cluster.
Enhanced Security Features
- Role-Based Access Control (RBAC)
- Fine-grained permissions for indices, documents, and fields.
- Encryption
- TLS encryption for data in transit and at rest.
- Audit Logging
- Detailed logs of user actions and system changes for compliance and security auditing.
Advanced Analytics
- Anomaly Detection
- Detects unusual patterns in data using machine learning.
- Alerting
- Set up alerts based on custom rules and thresholds.
- Reporting
- Generate and schedule detailed reports from OpenSearch Dashboards.
API Enhancements in OpenSearch
- Anomaly Detection API
- Provides machine learning-based anomaly detection.
POST _plugins/_anomaly_detection/detectors { "name": "example-detector", "description": "Anomaly detector for example", "time_field": "timestamp", "indices": ["example-index"], "feature_attributes": [ { "feature_name": "mean_response_time", "feature_enabled": true, "aggregation_query": { "response_time_avg": { "avg": { "field": "response_time" } } } } ] }
- Alerting API
- Create, manage, and monitor alerts based on conditions.
POST _plugins/_alerting/monitors { "name": "example-monitor", "type": "monitor", "enabled": true, "schedule": { "period": { "interval": 1, "unit": "MINUTES" } }, "inputs": [ { "search": { "indices": ["example-index"], "query": { "size": 0, "query": { "bool": { "filter": [ { "range": { "response_time": { "gte": 1000 } } } ] } } } } } ], "triggers": [ { "name": "example-trigger", "severity": "1", "condition": { "script": { "source": "ctx.results[0].hits.total.value > 0", "lang": "painless" } }, "actions": [] } ] }
Query DSL Enhancements
- Elasticsearch Query DSL
- Comprehensive query capabilities including full-text search, structured search, and analytics.
- API Endpoints:
_search
,_count
.
- OpenSearch Query DSL
- Extends Elasticsearch Query DSL with additional functions and plugins.
- Example: Enhanced support for nested fields and custom scoring.
Migration Considerations
- Compatibility
- Many APIs are directly compatible due to the shared heritage.
- Differences in security and plugin APIs may require adjustments.
- Testing
- Thorough testing in a staging environment before production migration.
- Use tools like
elasticsearch-dump
for data migration and validation.
Q&A
- Questions from the audience
Using OpenSearch after Elasticsearch
Migration from elasticsearch to opensearch
By TenantCloud
Migration from elasticsearch to opensearch
Migration from elasticsearch to opensearch
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