Which of the following is normally not one of the traditional components of the triple constraint

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Which of the following is normally not one of the traditional components of the triple constraint

The main factors that affect partition-based purge downtime are purge frequency and purge performance. There are a number of ways to improve purge performance: If range partitions are undersized, according to the guideline that each range partition should ideally contain as many orders as will be purged in one purge maintenance window, consider increasing the partition size.

For example, the time to purge a GB partition is only slightly more than the time to purge a GB partition. This guideline also helps minimize partition consolidations. Decrease the number of hash sub-partitions. The time to purge a GB partition with 64 hash sub-partitions is nearly double the time to purge a GB partition with 32 sub-partitions.

For more information refer to "Pitfalls of Partitioning. Tune purge operations, for example increase the degree of parallelism. Tune the database and operating system.

Estimating Storage To determine the size of partitions, you need to also consider the amount of storage that is allocated to OSM. This is necessary to provision sufficient storage capacity, ensure that you are comfortable managing it, and validate the trade-off between storage and the frequency and duration of maintenance windows outages.

It is recommended that you conservatively estimate the amount of required storage.

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Consider possible changes in sizing criteria and purge frequency, such as a volume or order size increase due to a rollout of new services, orders requiring more space due to additional functional requirements introduced during a solution or product upgrade or a purge embargo during holidays.

Add contingency for unforeseen events that might delay purging or lead to increased space consumption. For the purpose of estimating minimum storage requirements, consider the following partition breakdown: The oldest partitions that have been purged at least once.

Partitions that have never been purged, including exhausted partitions and the latest partition s where new orders are created.

Which of the following is normally not one of the traditional components of the triple constraint

The oldest partitions that have been purged at least once normally contain a small number of orders. It is recommended that you consolidate these partitions regularly every few purges.

If you do, the total space consumed by those partitions should be a fraction of a single partition. Partitions that have never been purged consume the bulk of your storage. The number of these partitions depends on the partition size, the order retention period, the time-to-close wait, the purge frequency and whether you use active-active Oracle RAC.

At the time of purge, these partitions can be further distinguished as eligible and ineligible for purge. If you follow a regular schedule, you can estimate the space consumed by these partitions as follows: Where P is the partition size for example, 4 week's worth of dataR the retention period, T the time-to-close wait, and F the purge frequency all using the same units, such as days or weeks.

Where S is the space consumed by a single partition. To estimate the number of partitions that are eligible for purge: Figure is an example of estimating minimum storage requirements.This is what we normally refer to as the cost or budget in the triple constraint model.

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To get the best possible experience, it is therefore important that you’ve done some research and decided on what kind of model you’re looking for. Which of the following is normally not one of the traditional components of the triple constraint?

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Which of the following is normally not one of the traditional components of the triple constraint

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