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Every SAP HANA node requires storage devices and capacity for:
Note: The formulas for capacity sizing are available in the SAP HANA Storage Requirements white paper that is attached to SAP Note 1900823: SAP HANA Storage Connector API. The requirements are subject to change by SAP. Always refer to the latest version of the document in SAP Note 1900823.
When the SAP HANA nodes boot from a volume on Unity XT (boot from SAN), the required capacity for the operating system must be included in the overall capacity calculation for the SAP HANA installation. Every SAP HANA node requires approximately 100 GB capacity for the operating system. This capacity includes space for the /usr/sap/ directory.
When booting from a SAN, follow the best practices that are described in Dell EMC Host Connectivity Guide for Linux.SAP HANA installation (/hana/shared/)
Before you can install the SAP HANA binary files, configuration files, traces, and logs, every SAP HANA node must have access to a file system that is mounted under the local /hana/shared/ mount point. In an SAP HANA scale-out cluster, a single shared file system is required and must be mounted on every node. Most SAP HANA installations use an NFS file system for this purpose. Unity XT all-flash and hybrid arrays can provide this file system with the NAS option.
To calculate the size of the /hana/shared/ file system, use the formula in the SAP HANA Storage Requirements white paper. The paper is included as an attachment in SAP Note 1900823: SAP HANA Storage Connector API. Version 2.10 of the white paper provides the following formulas.
Sizeinstallation(single-node) = MIN(1 x RAM; 1 TB)
Sizeinstallation(scale-out) = 1 x RAM_of_worker per 4 worker nodes
The SAP HANA in-memory database requires disk storage to:
Every SAP HANA node (scale-up) or worker node (scale-out) requires two disk volumes/file systems to save the in-memory database on disk (data) and to keep a redo log (log). The size of these volumes/file systems depends on the anticipated total memory requirement of the database and the RAM size of the node. The size of the data and log devices depends on the database size. To prepare the disk sizing, see the SAP HANA Storage Requirements white paper that is attached to SAP Note 1900823: SAP HANA Storage Connector API. Version 2.10 of the white paper provides the following formula to calculate the size of the data volume:
Sizedata = 1.2 x anticipated net disk space for data
where “anticipated net disk space” is the anticipated total memory requirement of the database plus an additional 20 percent free space. If the database is distributed across multiple nodes in a scale-out cluster, the anticipated net disk space must be divided by the number of SAP HANA worker nodes in the cluster. For example, if the anticipated net disk space is 2 TB and the scale-out cluster consists of four worker nodes, every node must be assigned a 616 GB data volume
(2 TB / 4 = 512 GB x 1.2 = 616 GB).
If the anticipated net disk space is unknown at the time of the storage sizing, Dell Technologies recommends using the RAM size of the node plus 20 percent free space for a capacity calculation of the datafile system.
Sizedata = 1 x RAM
The size of the log volume depends on the RAM size of the node. The SAP HANA Storage Requirements white paper provides the following formulas to calculate the minimum size of the log volume:
SAP HANA supports backup to a file system or the use of SAP-certified third-party tools. Dell Technologies supports data protection strategies for SAP HANA backup using Dell Data Domain systems and Dell NetWorker software. An SAP HANA backup to an NFS file system on a Unity XT all-flash or hybrid array is possible, but Dell Technologies does not recommend backing up the SAP HANA database to the storage array where the primary persistence resides. If you plan to back up SAP HANA to an NFS file system on a different Dell storage array, see the SAP HANA Storage Requirements white paper that is attached to SAP Note 1900823: SAP HANA Storage Connector API for details about sizing. The capacity depends on not only the data size and the frequency of change operations in the database but also on the number of backup generations that are kept on disk.