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Enhancing Server Performance
This appendix contains general tips that you can use to improve server performance when using LiveCycle
products.
Optimizing inline documents and impacts on JVM memory
If you are typically processing documents of a relatively small size, you can improve the performance
associated with the document transfer speed and storage space by implementing the following LiveCycle
product configurations:
●
Increase the maximum inline size for LiveCycle products so that it is larger than the size of most
documents.
●
For processing larger files, specify storage directories that are located on a high-speed disk system or a
RAM disk.
The default maximum inline size and the storage directories (the Adobe LiveCycle products temporary file
directory and the global storage directory) are properties of the Data Manager Module. You can configure
the Data Manager Module using Configuration Manager. (See
“Configuring LiveCycle Products” on
page 44
.)
Note:
The default maximum inline size value is 65536 bytes.
Document size and maximum inline size
When a document that is sent for processing by LiveCycle products is less than or equal to the maximum
inline size, the document is stored on the server inline and the document is serialized as an Adobe
Document object. Storing documents inline can have significant performance benefits.
A document that is larger than the maximum inline size is stored on the local file system (in the storage
directories specified using Configuration Manager), and the Adobe Document object that is transferred to
and from the server is only a pointer to that file.
JVM maximum heap size
An increase in the maximum inline size requires more memory for storing the serialized documents, and
therefore generally also requires an increase in the JVM maximum heap size.
A heavily-loaded system that is processing a large number of documents can rapidly saturate the JVM
heap memory. To avoid an OutOfMemoryError, the JVM maximum heap size must be increased by an
amount corresponding to the size of the inline documents multiplied by the number of documents that
are typically executed at any given time.
To calculate how much the JVM maximum heap must be increased, using the following equation:
JVM maximum heap size increase= (inline documents size) x (average number of documents processed)
