IBM Support

How to do Data Sanitization on IBM PureData System on TwinFin.

Question & Answer


Question

How to do Data Sanitization on IBM PureData System on TwinFin.?

Cause

Using FDT 2.6 we can faced the error below:

/opt/nz/fdt/storage_diags diskeraser -- method --dod3pass
...
Assigning Disks to S-Blades for the EraseDisk spa1encl4slot7 does not
have any path on SPU spu0101! This disk is marked as FAILED

It's a know issue that have being fixed in FDT 2.6.1 and FDT 4.1 by defect 69396

Answer

The workaround for this issue is upgrade the version of FDT from 2.6 to 2.6.1 in both HA1 and HA2:

After download the FDT 2.6.1 from IBM FixCentral site


http://www-933.ibm.com/support/fixcentral
Product Group > Information Management
Select from Information Management > IBM Netezza Platform
Installed Version > FDT_2.6
Platform > Linux
Option to Download > " 2.6.1.0-IM-Netezza-FDT-fp68798 "
File to download > " nz-fdt-v2.6.1.tar.gz "

Do the upgrade on NPS system as 'root' user:


gunzip nz-fdt_v2.6.1
tar -xvf nz-fdt_v2.6.1.tar.gz
cd fdt/
./install --ignore-hpf-rev


The command below will describe the options available for data scrub:

/opt/nz/fdt/storage_diags DiskEraser -h

Each method meets specific requirements based on local and federal guidelines. Some, such as the DOD (US Dept of Defense) options, will perform multiple passes and may run for several days, depending on the number of SPAs.
The simplest 'clear' (which writes zeros) is commonly selected to wipe the disks. Which method depends on what the requirements are for your own security requirements.

Below is the example in how to use with method CLEAR



As user nz you have to stop the system:
nzstop


As user root run the command below:
/opt/nz/fdt/storage_diags DiskEraser --method --clear

[{"Product":{"code":"SSULQD","label":"IBM PureData System"},"Business Unit":{"code":"BU053","label":"Cloud & Data Platform"},"Component":"Tools","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"1.0.0","Edition":"","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
17 October 2019

UID

swg21696431