I need to pull a *lot* of records out of a core, to be statistically
analyzed and the stat.s presented to the user, who is sitting at a
browser waiting.  So far I haven't seen a way to calculate the stat.s
I need in Solr itself.  It's difficult to know the size of the total
result, so I'm running the query repeatedly and windowing the results
with 'start' and 'rows'.  I just guessed that a window of 1000
documents would be reasonable.  We currently have about 48GB in the
core.

The product uses Solr 4.10.  Yes, I know that's very old.

What I got is that every three seconds or so I get another 1000
documents, totalling around 500KB per response.  For a user request
for a large range, this is taking way longer than the user's browser
is willing to wait.  The single CPU on my test box is at 99%
continuously, and Solr's memory use is around 90% of 8GB.  The test
hardware is a VMWare guest on an 'Intel(R) Xeon(R) Gold 6150 CPU @
2.70GHz'.

A sample query:

0:0:0:0:0:0:0:1 - - [10/Apr/2020:13:34:18 -0400] "GET 
/solr/statistics/select?q=*%3A*&rows=1000&fq=%2Btype%3A0+%2BbundleName%3AORIGINAL+%2Bstatistics_type%3Aview&fq=%2BisBot%3Afalse&fq=%2Btime%3A%5B2018-01-01T05%3A00%3A00Z+TO+2020-01-01T04%3A59%3A59Z%5D&sort=time+asc&start=867000&wt=javabin&version=2
 HTTP/1.1" 200 497475 "-" 
"Solr[org.apache.solr.client.solrj.impl.HttpSolrServer] 1.0"

As you can see, my test was getting close to 1000 windows.  It's still
going.  I don't know how far along that is.

So I'm wondering:

o  how can I do better than guessing that 1000 is a good window size?
   How big a response is too big?

o  what else should I be thinking about?

o  given that my test on a full-sized copy of the live data has been
   running for an hour and is still going, is it totally impractical
   to expect that I can improve the process enough to give a response
   to an ad-hoc query while-you-wait?

-- 
Mark H. Wood
Lead Technology Analyst

University Library
Indiana University - Purdue University Indianapolis
755 W. Michigan Street
Indianapolis, IN 46202
317-274-0749
www.ulib.iupui.edu

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