Hi Bernd, Check this: "SPM for Solr is the enterprise-class, cloud-based, System/OS and Solr Performance Monitoring SaaS."
So it's a SaaS - you simply sign up for it. During the signup you'll get to download a small agent that works on RedHat, CentOS, Debian, Ubuntu, and maybe other OSes. If you have any more SPM questions, it may be best to email me directly. For example, if you are only interested in SPM if it runs in your datacenter, please let me know. Otis ---- Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch Lucene ecosystem search :: http://search-lucene.com/ >________________________________ > From: Bernd Fehling <bernd.fehl...@uni-bielefeld.de> >To: solr-user@lucene.apache.org >Sent: Thursday, December 8, 2011 4:04 AM >Subject: Re: cache monitoring tools? > >Hi Otis, > >I can't find the download for the free SPM. >What Hardware and OS do I need for installing SPM to monitor my servers? > >Regards >Bernd > >Am 07.12.2011 18:47, schrieb Otis Gospodnetic: >> Hi Dmitry, >> >> You should use SPM for Solr - it exposes all Solr metrics and more (JVM, >> system info, etc.) >> PLUS it's currently 100% free. >> >> http://sematext.com/spm/solr-performance-monitoring/index.html >> >> >> We use it with our clients on a regular basis and it helps us a TON - we >> just helped a very popular mobile app company improve Solr performance by a >> few orders of magnitude (including filter tuning) with the help of SPM. >> >> Otis >> ---- >> Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch >> Lucene ecosystem search :: http://search-lucene.com/ >> >> >>> ________________________________ >>> From: Dmitry Kan<dmitry....@gmail.com> >>> To: solr-user@lucene.apache.org >>> Sent: Wednesday, December 7, 2011 2:13 AM >>> Subject: cache monitoring tools? >>> >>> Hello list, >>> >>> We've noticed quite huge strain on the filterCache in facet queries against >>> trigram fields (see schema in the end of this e-mail). The typical query >>> contains some keywords in the q parameter and boolean filter query on other >>> solr fields. It is also facet query, the facet field is of >>> type shingle_text_trigram (see schema) and facet.limit=500000. >>> >>> >>> Questions: are there some tools (except for solrmeter) and/or approaches to >>> monitor / profile the load on caches, which would help to derive better >>> tuning parameters? >>> >>> Can you recommend checking config parameters of other components but caches? >>> >>> BTW, this has become much faster compared to solr 1.4 where we had to a lot >>> of optimizations on schema level (e.g. by making a number of stored fields >>> non-stored) >>> >>> Here are the relevant stats from admin (SOLR 3.4): >>> >>> description: Concurrent LRU Cache(maxSize=10000, initialSize=10, >>> minSize=9000, acceptableSize=9500, cleanupThread=false) >>> stats: lookups : 93 >>> hits : 90 >>> hitratio : 0.96 >>> inserts : 1 >>> evictions : 0 >>> size : 1 >>> warmupTime : 0 >>> cumulative_lookups : 93 >>> cumulative_hits : 90 >>> cumulative_hitratio : 0.96 >>> cumulative_inserts : 1 >>> cumulative_evictions : 0 >>> item_shingleContent_trigram : >>> {field=shingleContent_trigram,memSize=326924381,tindexSize=4765394,time=222924,phase1=221106,nTerms=14827061,bigTerms=35,termInstances=114359167,uses=91} >>> name: filterCache >>> class: org.apache.solr.search.FastLRUCache >>> version: 1.0 >>> description: Concurrent LRU Cache(maxSize=512, initialSize=512, >>> minSize=460, acceptableSize=486, cleanupThread=false) >>> stats: lookups : 1003486 >>> hits : 2809 >>> hitratio : 0.00 >>> inserts : 1000694 >>> evictions : 1000221 >>> size : 473 >>> warmupTime : 0 >>> cumulative_lookups : 1003486 >>> cumulative_hits : 2809 >>> cumulative_hitratio : 0.00 >>> cumulative_inserts : 1000694 >>> cumulative_evictions : 1000221 >>> >>> >>> schema excerpt: >>> >>> <fieldType name="shingle_text_trigram" class="solr.TextField" >>> positionIncrementGap="100"> >>> <analyzer> >>> <tokenizer class="solr.StandardTokenizerFactory"/> >>> <filter class="solr.LowerCaseFilterFactory"/> >>> <filter class="solr.ShingleFilterFactory" maxShingleSize="3" >>> outputUnigrams="true"/> >>> </analyzer> >>> </fieldType> >>> >>> -- >>> Regards, >>> >>> Dmitry Kan >>> >>> >>> > > >
