Memorex LOCK - VERSION 2-24 Technical Information Seite 43

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Retaining Dataset
User Reference
Connectivity Systems, Inc.—Copyright © 2006
Use Pursuant to Company Instructions
1-25
Example 1 The following is an example of retaining x versions for y days. In the
example, you need to retain each version of an inventory dataset for 100
days. You also need to retain the last 10 versions, regardless of when the
versions were created. The dataset definition specifies:
Generation Dataset......YES
Retention Days.......100
Retention Cycles.....10
Retention DLA........0
Case 1 During the first 100 days after creating the first version, you create a total
of nine versions. On day 101, no versions are scratched because you still
have not completed 10 cycles.
Case 2 If you create version 11 after 60 days, no version is eligible for scratch
because the first version you created is only 60 days old. This version is
retained until day 100 regardless of the number of versions created as of
that time.
Example 2 The following is an example retaining a work dataset for x number of
days after its last access. In the example, an accounting job produces
results from work datasets in multiple stages. If you decide to save the
work datasets for 15 days as of the last date you use the data, you would
catalog the dataset with:
Generation Dataset......NO
Retention Days.......0
Retention Cycles.....0
Retention DLA........15
Each version is saved for 15 days after its last access.
Example 3 The following is an example of what is required if you want a temporary
dataset.
Generation Dataset......NO
Retention Days.......0
Retention Cycles.....0
Retention DLA........0
All versions are eligible for scratch at all times.
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