VSAM Application Performance and Tuning Course

Course Code: MV 102
Course Abstract:

This course covers VSAM performance and tuning techniques. Topics include; the 3 types of VSAM file KSDS, RRDS, ESDS, buffer allocations and considerations for faster access to VSAM data sets, options for data placement and index positioning and maintaining a VSAM data set based on its historical usage and performance.

Audience:

This course is designed for data processing personnel involved with the development and/or maintenance of systems using the virtual storage access method (VSAM).

Duration: 4 days
Learning Outcomes:

Upon completion of this course, the participant will be able to:
> Identify Control Intervals & Control Areas, CIDF, RDF
> Recognize the 3 types of VSAM file KSDS, RRDS, ESDS
> Apply insertions into a KSDS VSAM file, CI splits and CA splits
> Properly define a VSAM data set by determining which options to select based on the projected usage and size of the data set
> Identify buffer allocations and considerations for faster access to VSAM data sets
> Recognize the usage, options, pros, and cons of alternate indexes
> Utilize the options for data placement and index positioning
> Use the LISTCAT to monitor the performance of a VSAM data set
> Properly maintain a VSAM data set based on its historical usage and performance

Course Topics:

IDCAMS
Define Cluster Attributes
BUFFERSPACE
CISIZE
FREESPACE
IMBED
REPLICATE
KEYRANGES
ORDERED
REUSE
SHAREOPTIONS

Buffer Usage
STRNO
BUFSP
BUFND
BUFNI
Random and/or sequential processing considerations
DEFINE and JCL options and usage

Space Utilization CISIZE considerations and recommendations
FREESPACE and SPLITS considerations and recommendations

Alternate Indexes Spanned alternate indexes
Alternate index RECORDSIZE considerations
Effect of alternate indexes on buffering
UPGRADE option pros and cons

Data placement and Cluster Positioning Index and data placement considerations
DASD seek considerations
IMBED and REPLICATE combinations

Monitoring What to look for in a LISTCAT
When to look at a LISTCAT (new clusters and production clusters)

Prerequisites:

The participant should have a basic knowledge of VSAM and some familiarity with access method services IDCAMS, DEFINE, and LISTCAT functions.

Note: All fields are required
At the present time we do not offer training for individuals or groups less then 6 individuals. We apologize for any inconvenience.


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