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Elasticsearch Service
Basic Concepts
Last updated: 2024-12-04 15:51:12
Basic Concepts
Last updated: 2024-12-04 15:51:12
This document introduces the basic concepts related to the project space and index in the ES Serverless service.

Project Space

A project space is the basic resource unit in the ES Serverless service. You can create indexes for the same business within a single project space to facilitate index management. To read and write data, use the access address, username, and password for the project space to access the indexes within it.

Index

In the ES Serverless service, an index is the smallest unit for data storage and management. It leverages Tencent Cloud ES's proprietary self-managing index capabilities, including built-in shard auto-optimization, intelligent lifecycle management, and fault self-recovery. Unlike traditional usage methods, you do not need to worry about index rollover or shard size; instead, you can focus solely on data writing, querying, and visual analysis.
Upgrade Notes:
The ES Serverless service has been upgraded to improve user experience, and currently supports unified access addresses and Kibana for managing and accessing multiple indexes, aligning better with traditional usage habits. The differences before and after the upgrade are as follows:
The project spaces created before January 23, 2024, lack independent access control and do not support simultaneous access to multiple indexes in Kibana. Data writing and querying are performed through each index's access address.
For the project spaces created after January 23, 2024, unified management and access for all indexes within the space can be achieved through the project space's access address and Kibana. Additionally, permissions can be configured through a visualized user management feature, allowing you to set permission types and scopes, aligning closely with traditional ES cluster usage to meet various scenarios. The upgrade requires no changes to business code -- simply migrate existing indexes to the new space. We strongly recommend migrating indexes to the new space.

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