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About Data ONTAP

Data ONTAP overview  Top

You administer the filer using Data ONTAP commands. Data ONTAP uses only commands and files that are relevant to file service administration. Data ONTAP contains no extraneous utilities such as text editors.

Data ONTAP manages data in four ways:

Data storage management  Top

Data ONTAP stores data on disks in disk shelves. Disks are organized into RAID groups, and RAID groups are organized into volumes. These items are explained in the following table, along with what aspects of them you can administer.

Data storage concept

Explanation

Storage administrative actions

RAID (redundant array of independent disks)

A feature that enables file access even if one disk in a RAID group is damaged.

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RAID group

A RAID group consists of a parity disk, up to 52 data disks before Data ONTAP 5.0 and 28 data disks in Data ONTAP 5.0 and later, and optional spare disks. Data ONTAP supports up to 150 RAID groups per filer or cluster.

You can control the size of a RAID group. This enables you to customize backups and disk failure recovery.

Data disks

Hold the data that clients access.

You can control the number of data and spare disks that a filer can use. This enables you to manage recovery if a disk fails.

Parity disk

Contains information that Data ONTAP uses to reconstruct data if a data disk fails. Each RAID group has one parity disk.

Spare disks

Replace failed data disks automatically with reconstructed data.

Volumes

Pools of storage composed of multiple disks that store client data. A filer can support from 1 to 200 volumes.

You can specify the size of a volume, add disks to it, copy volumes, and control the number of RAID groups in a volume. This gives you flexibility in managing data storage tasks such as backups and restores, and enables you to customize volumes.

Logical unit numbers (LUNs)

Logical units of storage, each of which is identified by a number, used in a storage area network (SAN) environment.

You can create LUNs within volumes and specify the size of a LUN.

Data organization management  Top

Data is organized in files, which are the smallest unit of data management. Users organize files into directories, and you organize directories into file systems, which are known as volumes. You can also organize directories into special directories called qtrees. Major data organization concepts that are special to filers are explained in the following table.

Data organization concept

Explanation

Data organization administrative actions

Volume

An independent file system.

You can specify the following features for a volume:

  • A security style, which determines whether a volume can contain files that use UNIX security, files that use NT file system (NTFS) security, or both types of files
  • Whether it uses CIFS oplocks
  • Disk space and file limits

This enables you to customize volumes for the needs of your users.

Qtree

A special subdirectory of the root directory of a volume. It has the following special attributes:

  • A security style
  • A CIFS oplocks setting
  • Disk space and file limits

You can specify the following features for a qtree:

  • A security style like that of volumes
  • Whether it uses CIFS oplocks
  • Disk space and file limits

This enables you to customize areas for projects and to keep users and projects from monopolizing resources.

Data access management  Top

Data ONTAP manages access to data by performing the following operations:

Data ONTAP enables you to perform the following actions:

Data migration management  Top

Data ONTAP manages data migration by means of

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