Using ML 8 we have an application that relies on reverse queries. The overall 
application is not performing as well as we need it to and our initial attempts 
at profiling show that the reverse queries are taking most of the time. We have 
about 120,000 separate reverse query documents. 

The “Inside MarkLogic” document suggests that reverse queries, properly 
indexed, should be quite fast. I have verified that we have the “fast reverse 
queries” index turned on.

My question: What should I look for that might be causing our reverse queries 
to not be optimized? Are there any other ML settings or server configurations 
that might affect reverse query performance? Are there particular query 
patterns that might be suboptimal? Is there a way that I can confirm that the 
reverse queries are performing as fast as possible?

This is an application that is applied to 100s of 1000s of documents, so even a 
small performance improvement will be significant.

Thanks,

Eliot

--
Eliot Kimber
http://contrext.com
 



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