Managing CSV data files

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.