No relevant resource is found in the selected language.

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Read our privacy policy>Search


To have a better experience, please upgrade your IE browser.


FusionInsight HD 6.5.0 Administrator Guide 02

Rate and give feedback :
Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).



Multi-tenant specifies multiple resource sets (a resource set is a tenant) in a FusionInsight HD big data cluster and is able to allocate and schedule resources. The resources include computing resources and storage resources.


Modern enterprise data clusters are developing towards centralization and cloudification. Enterprise-class big data clusters must meet the following requirements:

  • Carry data of different types and formats and run jobs and applications of different types (analysis, query, and stream processing).
  • Isolate data of a user from that of another user who has demanding requirements on data security, such as a bank or government institute.

The preceding requirements bring the following challenges to the big data cluster:

  • Proper allocation and scheduling of resources to ensure stable operating of applications and jobs
  • Strict access control to ensure data and service security

Multi-tenant isolates the resources of a big data cluster into resource sets. Users can lease desired resource sets to run applications and jobs and store data. In a big data cluster, multiple resource sets can be deployed to meet diverse requirements of multiple users.

The Huawei FusionInsight HD enterprise-class big data cluster provides a complete enterprise-class big data multi-tenant solution.


  • Proper resource configuration and isolation

    The resources of a tenant are isolated from those of another tenant. The resource use of a tenant does not affect other tenants. This mechanism ensures that each tenant can configure resources based on service requirements, improving resource utilization.

  • Resource consumption measurement and statistics

    Tenants are system resource applicants and consumers. System resources are planned and allocated based on tenants. Resource consumption by tenants can be measured and recorded.

  • Ensured data security and access security

    In multi-tenant scenarios, the data of each tenant is stored separately to ensure data security. The access to tenants' resources is controlled to ensure access security.

Updated: 2019-05-17

Document ID: EDOC1100074522

Views: 6027

Downloads: 12

Average rating:
This Document Applies to these Products
Related Documents
Related Version
Previous Next