Speeding up builds
Several configuration changes can significantly reduce DITA-OT processing time.
Disable debug attribute generation
The generate-debug-attributes parameter determines whether debugging attributes are
generated in the temporary files. By changing the value to
false, DITA-OT will no longer
@xtrc debug attributes. This will make it more
difficult to track down the source file location from which a given issue may have originated, but it will
reduce the size of the temporary files. As a result, XML parsing will take less time and overall processing
time will be reduced.
Use a fast disk for the temporary directory
DITA-OT keeps topic and map files as separate files and processes each file multiple times during preprocessing. Thus reading from disk, parsing XML, serializing XML, and writing to disk makes processing quite I/O intensive. Use either an SSD or a RAM disk for temporary files, and never use a temporary directory that is not located on the same machine as where the processing takes place.
Enable parallel processing
As of DITA-OT 3.6, preprocessing module code can be run in parallel by setting the parallel parameter to true. The performance benefits this option provides depend heavily on the source file set, the DITA features used in the project, and the computer doing the processing, but under the right circumstances, you may see notable improvements when this option is enabled.
Enable in-memory processing
As of DITA-OT 3.6, the Cache Store can be activated by setting the store-type parameter to memory. In-memory processing provides performance advantages in I/O bound environments such as cloud computing platforms, where processing time depends primarily on how long it takes to read and write temporary files. For more information, see Store API – Processing in memory.
Reuse the JVM instance
For all but large source sets, the Java virtual machine (JVM) will not have enough time to warm-up. By reusing the same JVM instance, the first few DITA-OT conversions will be “normal”, but when the Just-In-Time (JIT) compiler starts to kick in, the performance increase may be 2-10 fold. This is especially noticeable with smaller source sets, as much of the DITA-OT processing is I/O intensive.
Use the latest Java version
DITA-OT 2.0 to 2.3 require Java 7, and DITA-OT 2.4 and newer require Java 8. However, using a newer version of Java may further reduce processing time, depending on your operating system.