Kurs-ID: IBMe_CM30G
Kurs IMS Database Performance and Tuning (CM30G)
Seminarinhalte
- Analyze performance data about the IMS database environment
- Choose IMS access methods that provide the best database performance
- Improve performance by selecting database buffer pools and buffer pool options and with the correct data set access method and storage attributes
- Implement the optimum performance options for VSAM data sets at define and execute time
- Evaluate the need for secondary indexes and select implementation options to improve their performance
- Choose physical database implementation options to improve performance
- Select HDAM randomizing parameters that can improve the key randomization process
Zielgruppe
This intermediate course is for ndividuals interested in the performance of the IMS Database System.
Voraussetzungen
You should complete:- IMS Physical Organization of Databases Workshop (U3722)or have four to six months experience with the IMS database system.For additional prerequisites visit our Web site and search on U3720.- Describe the physical storage and processing characteristics of Hierarchial Indexed Sequential Access Method (HISAM), Hierarchial Indexed Direct Access Method (HIDAM), and Hierarchial Direct Access Method (HDAM) access methods.- Code the Data Base Definitions (DBD) and Program Specification Blocks (PSB) macros to implement secondary indexing, HISAM, HIDAM, and HDAM physical databases.- Describe the physical storage characteristics of secondary indexes.- Describe the PSB and programming requirements and processing characteristics when using a secondary index.- Use the IMS utilities to load and reorganize logically related databases with secondary indexes.- Use Virtual Storage Access Method (VSAM)s access method services to delete and define the Key-Sequenced Data Set (KSDS) and Entry-Sequenced Data Set (ESDS) data sets needed to support the database environment.- Use reports created by the database tool's program, DBD/PSB/ACB MapperSpecify buffers for VSAM data set supported databases
Termine
Hinweis
Das Training findet auf Deutsch statt.