To obtain the best performance from the CICS® PA plug-in,
you can manage your CSV data files in various ways.
The CICS monitoring
facility can produce a significant volume of output, which can produce
large data files. Every time you download data or open a file in the CICS PA plug-in,
you use workstation memory. The larger the data selection, or file
size, the more memory is used. Opening a large file for analysis might
considerably slow your workstation depending on the amount of memory
available. Following these suggestions helps to manage your data files
in a more efficient way.
- Divide the CSV 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 CSV 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.
- Create CSV files with 17000 records or fewer
- If you are using CSV files, be selective with the size of file
that you create. A 17,000 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 large amount of data,
create multiple CSV files instead of one large file.