The IDMTYP query produces two CSV output files.
The first CSV output file produces several daily charts that display the hourly values of several resource and performance-related measurements for the various types of transactions executed by IDMS regions. The IDMS transaction type is stored in the MICS data element IDMTYPE.
The IDMTYPEs and their meanings are:
IDMS/DC Online
Batch external run units
CICS external run units
IDMS/DC/UCF external run units
IDMS/DC system task
The transaction type is determined from the raw data transaction records, and is included as a summarization key in the CA MICS database file that is used to generate these charts.
The second CSV output file generates the charts that show the daily transaction response time distribution for each IDMS transaction type. The charts from this second CSV rely on the transaction response time classifications (for example, SHORT, MEDIUM, LONG), and response time distribution buckets that are defined using CA MICS-provided user interfaces. The IDMS Transaction Type Exit in prefix.MISC.PARMS(IDMRLRT) is used to assign a response time classification (for example, SHORT, MEDIUM, LONG) for each transaction. Response time bucket distribution values are specified with the RESP keyword in the IDMS Processing Options member, prefix.MICS.PARMS(IDMOPS). The value of these charts is enhanced significantly when these members are updated to reflect your IDMS environment.
Two CSV output files are generated by this query:
The Daily IDMS Region Tran Type by HOUR data extract generates the following six chart views:
#1 - Daily IDMS Region Transaction Type: Hourly CPU Time Use
This view uses stacked vertical bars to show the hourly CPU time used by the transaction type displayed in the chart title area. A horizontal line shows the hourly transaction count.
The first chart sample (previously shown) is an example of the charts produced by view #1. This chart was produced from two cycles of the DAYS timespan IDMSSY file and shows:
#2 - Daily IDMS Region Transaction Type: Hourly Response Time Analysis
This view uses stacked vertical bars to show the hourly number of SHORT, MEDIUM, and LONG transactions executed for the transaction type. The average SHORT and MEDIUM transaction response times are displayed using horizontal lines.
#3 - Daily IDMS Region Transaction Type: Hourly Database Activity
This view uses stacked vertical bars to show the hourly count of database calls, and pages requested, read, and written for the transaction type. A horizontal line shows the hourly transaction count.
#4 - Daily IDMS Region Transaction Type: Hourly Queue Activity
This view uses stacked vertical bars to show the hourly count of queue DELETES, GETS, and PUTS for the transaction type. A horizontal line shows the hourly transaction count.
#5 - Daily IDMS Region Transaction Type: Hourly Storage Pool Use
This view uses stacked vertical bars to show the hourly count of storage FREES and GETS for the transaction type. A horizontal line shows the hourly transaction count.
#6 - Daily IDMS Region Transaction Type: Hourly Scratch Activity
This view uses stacked vertical bars to show the hourly quantity of scratch DELETES, GETS, and PUTS for the transaction type. A horizontal line shows the hourly transaction count.
The Daily IDMS Region Resp Dist data extract generates a single chart view:
#1 - Daily IDMS Transaction Type Response Time Distributions
This view uses vertical stacked bars to display the count of SHORT, MEDIUM, and LONG transactions that completed in each of the eight user-defined response time distribution ranges for each transaction type where the transactions have been categorized.
Note: The query does not produce charts for transaction types where the CA MICS IDMS Transaction Type exit code did not assign response time categorizations.
The second chart sample (previously shown) is an example of a response time distribution chart that is produced by this view. This chart sample shows the daily transaction response time distributions for the same IDMS region and transaction type that is shown in the first chart sample. The chart shows:
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