This document describes how to get started with Elasticsearch Service (ES).
1. Basic knowledge of ES
2. ES billing mode
3. Getting started
3.1. Evaluation of cluster specification and capacity configuration
Before purchasing a cluster, you need to evaluate your specific business according to the actual situation to ensure that the created cluster meets your actual needs. For more information, please see Evaluation of Cluster Specification and Capacity Configuration.
3.2. ES cluster purchase
Before using ES, you need to sign up for a Tencent Cloud account first and then click Buy Now on the purchase page to create a cluster. For more information, please see Creating Clusters.
3.3. Cluster access
After successfully creating a cluster, you can start to access it through the API, client, or Kibana. Enabling ES cluster user authentication can improve the security of cluster access. 4. Overview of console features
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View cluster status information in the cluster list | |
Restart a cluster as needed | |
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Create a cluster that supports multi-AZ | |
Understand the concepts and principles of cluster configuration adjustment and scale a cluster | |
Configure synonyms and YML in a cluster | |
Configure plugins in a cluster | |
Monitor the status of a running cluster | |
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Upgrade a cluster and use advanced features | |
5. Best practice
5.1. Data migration and sync
1. Data migration
If you want to migrate your data to ES, you can choose a suitable migration solution based on your business needs, such as COS snapshot, Logstash, and elasticsearch-dump. For more information, please see Data Migration.
2. Data ingestion into ES
You can connect your data source of different types to ES through the Logstash and Beats components. For more information, please see Data Ingestion into ES.
3. Real-time MySQL data sync to ES
You can sync data to ES in real time by syncing MySQL binlog. For more information, please see Syncing MySQL Data to ES in Real Time. 5.2. Use case construction
1. Build a log analysis system
You can import your logs into ES and access Kibana from a browser to perform query and analysis (for example, through the most typical log analysis architectures Filebeat + Elasticsearch + Kibana and Logstash + Elasticsearch + Kibana). For more information, please see Building a Log Analysis System. 5.3. Index settings
1. Default index template description and adjustment
You can describe and adjust the default template. For more information, please see Default Index Template Description and Adjustment.
2. Index management with Curator
By managing indexes with Curator, you can clear indexes created 7 days ago, back up specified indexes regularly every day, and migrate indexes from a hot node to a warm node regularly. For more information, please see Managing Indexes with Curator.
3. Hot/Warm architecture and index lifecycle management
You can specify the specifications of hot and warm nodes based on your business needs to quickly build an ES cluster in the hot/warm architecture. For more information, please see Hot/Warm Architecture and Index Lifecycle Management. 5.4. SQL support
ES supports SQL instead of DSL as the query language. For those engaged in product operations and data analysis and new ES users, using SQL for queries can reduce their learning costs for getting started with ES. For more information, please see SQL Support. 6. FAQs for beginners
6.1. Product
6.2 Cluster exceptions
7. Feedback and suggestions
If you have any questions or suggestions about ES, you can send your feedback through the following channels, and we will get back to you accordingly:
If you find issues with product documentation, such as links, contents, and APIs, you can click Send Feedback on the right of the document page and select the specific issues.
If you encounter problems when using the product, please submit a ticket for assistance.