InfoScale™ 9.0 Solutions Guide - Linux
- Section I. Introducing Veritas InfoScale
- Section II. Solutions for Veritas InfoScale products
- Solutions for Veritas InfoScale products
- Solutions for Veritas InfoScale products
- Section III. Stack-level migration to IPv6 or dual stack
- Section IV. Improving database performance
- Overview of database accelerators
- Improving database performance with Veritas Concurrent I/O
- Improving database performance with atomic write I/O
- Section V. Using point-in-time copies
- Understanding point-in-time copy methods
- Backing up and recovering
- Preserving multiple point-in-time copies
- Online database backups
- Backing up on an off-host cluster file system
- Database recovery using Storage Checkpoints
- Backing up and recovering in a NetBackup environment
- Off-host processing
- Creating and refreshing test environments
- Creating point-in-time copies of files
- Section VI. Maximizing storage utilization
- Optimizing storage tiering with SmartTier
- Optimizing storage with Flexible Storage Sharing
- Optimizing storage tiering with SmartTier
- Section VII. Migrating data
- Understanding data migration
- Offline migration from LVM to VxVM
- Offline conversion of native file system to VxFS
- Online migration of a native file system to the VxFS file system
- Migrating a source file system to the VxFS file system over NFS v4
- VxFS features not available during online migration
- Migrating storage arrays
- Migrating data between platforms
- Overview of the Cross-Platform Data Sharing (CDS) feature
- CDS disk format and disk groups
- Setting up your system to use Cross-platform Data Sharing (CDS)
- Maintaining your system
- Disk tasks
- Disk group tasks
- Displaying information
- File system considerations
- Specifying the migration target
- Using the fscdsadm command
- Maintaining the list of target operating systems
- Migrating a file system on an ongoing basis
- Converting the byte order of a file system
- Migrating from Oracle ASM to Veritas File System
- Section VIII. Veritas InfoScale 4K sector device support solution
- Section IX. REST API support
- Support for configurations and operations using REST APIs
- Support for configurations and operations using REST APIs
- Section X. Reference
Shared data across platforms
While volumes can be exported across platforms, the data on the volumes can be shared only if data sharing is supported at the application level. That is, to make data sharing across platforms possible, it must be supported throughout the entire software stack.
For example, if a VxFS file system on a VxVM volume contains files comprising a database, then the following functionality applies:
Disks can be recognized (as cds disks) across platforms.
Disk groups can be imported across platforms.
The file system can be mounted on different platforms.
However, it is very likely that, because of the inherent characteristics of databases, you may not be able to start up and use the database on a platform different from the one on which it was created.
An example is where an executable file, compiled on one platform, can be accessed across platforms (using CDS), but may not be executable on a different platform.
Note:
You do not need a file system in the stack if the operating system provides access to raw disks and volumes, and the application can utilize them. Databases and other applications can have their data components built on top of raw volumes without having a file system to store their data files.