Hi,
first of all the two different suggesters you are using are based on
different data structures ( with different memory utilisation) :

- FuzzyLookupFactory -> FST ( in memory and stored binary on disk)
- AnalyzingInfixLookupFactory -> Auxiliary Lucene Index

Both the data structures should be very memory efficient ( both in building
and storage).
What is the cardinality of the fields you are building suggestions from ? (
site_address and site_address_other)
What is the memory situation in Solr when you start the suggester building ?
You are allocating much more memory to the JVM Solr process than the OS (
which in your situation doesn't fit the entire index ideal scenario).

I would recommend to put some monitoring in place ( there are plenty of open
source tools to do that)

Regards



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Alessandro Benedetti
Search Consultant, R&D Software Engineer, Director
Sease Ltd. - www.sease.io
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