To obtain the best performance from the CICS® PA plug-in,
you can manage your data files in various ways.
The CICS monitoring
facility can produce a significant volume of output, which can produce
very large data files. Every time you open a file in the CICS PA plug-in,
you use workstation memory. The larger the file, the more memory is
used. Opening a large file for analysis might considerably slow your
workstation depending on the amount of memory available. Following
the suggestions below helps to manage your data files in a more efficient
way:
- Create csv files with 17000 records or fewer
- Be selective when creating csv files. A 17000 record csv file
is around 15 MB in size. Opening larger files increases the memory
usage and might offset the performance of your workstation. If you
have a lot of data, create multiple csv files instead of one big file.
- Divide the data between different projects
- Keeping related sets of data in different projects makes data
easier to manage. Projects that are not in use can be closed. Closing
a project frees up workstation memory.
- Save each file in a separate folder
- Every time a folder is opened, the CICS PA plug-in analyzes
all the files in the folder and saves the information in workstation
memory. If you have multiple files in a folder, more memory is used.
The memory is not released until the project is closed or until the CICS Explorer™ is closed.
If each folder contains only one file, the memory usage is kept at
a minimum.