Storage Resources
Overview
As a distributed file storage service in a big data cluster, HDFS stores all the user data of the upper-layer applications in the big data cluster, including the data written to HBase tables or Hive tables.
A directory is the basic unit of allocating HDFS storage resources. HDFS supports the conventional hierarchical file structure. Users or applications can create directories and create, delete, move, or rename files in directories. Tenants can obtain storage resources from specified directories in the HDFS file system.
Scheduling Mechanism
HDFS directories can be stored on nodes with specified labels or disks of specified hardware types. For example:
- When both real-time query and data analysis tasks are running in the same cluster, the real-time query tasks need to be deployed only on certain nodes, and the task data must also be stored on these nodes.
- Based on actual service requirements, key data needs to be stored on highly reliable nodes.
Administrators can flexibly configure HDFS data storage policies based on actual service requirements and data features to store data on specified nodes.
For tenants, storage resources refer to the HDFS resources they use. Data of specified directories can be stored to the tenant-specified storage paths, thereby implementing storage resource scheduling and ensuring data isolation between tenants.
Users can add or delete HDFS storage directories of tenants and set the file quantity quota and storage capacity quota of directories to manage storage resources.
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