Reducing processing time
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 generate the @xtrf and @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.
Switch the order of conref and keyref processing
If your DITA source uses a lot of conrefs that in turn contain a lot of keyrefs, it may speed up processing if you reverse the order of the two in preprocessing. You simply need to have a copy of the preprocess Ant target in your plug-in and change the order there. The DITA specification is a good example of this, as the processing time is reduced to less than half of the original time.
Update: Since DITA-OT 2.0, this is the default processing order.
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 IO 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.
Reuse the JVM instance
For all but extremely large source sets, the 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 JIT 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 requires Java 7, but using the latest version Java 8 will further reduce processing time.
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