hightlight's time is mainly spent on getting the field which you want to highlight and tokenize this field(If you don't store term vector) . you can check what's wrong,
2010/7/30 Peter Spam <ps...@mac.com>: > If I don't do highlighting, it's really fast. Optimize has no effect. > > -Peter > > On Jul 29, 2010, at 11:54 AM, dc tech wrote: > >> Are you storing the entire log file text in SOLR? That's almost 3gb of >> text that you are storing in the SOLR. Try to >> 1) Is this first time performance or on repaat queries with the same fields? >> 2) Optimze the index and test performance again >> 3) index without storing the text and see what the performance looks like. >> >> >> On 7/29/10, Peter Spam <ps...@mac.com> wrote: >>> Any ideas? I've got 5000 documents with an average size of 850k each, and >>> it sometimes takes 2 minutes for a query to come back when highlighting is >>> turned on! Help! >>> >>> >>> -Pete >>> >>> On Jul 21, 2010, at 2:41 PM, Peter Spam wrote: >>> >>>> From the mailing list archive, Koji wrote: >>>> >>>>> 1. Provide another field for highlighting and use copyField to copy >>>>> plainText to the highlighting field. >>>> >>>> and Lance wrote: >>>> http://www.mail-archive.com/solr-user@lucene.apache.org/msg35548.html >>>> >>>>> If you want to highlight field X, doing the >>>>> termOffsets/termPositions/termVectors will make highlighting that field >>>>> faster. You should make a separate field and apply these options to that >>>>> field. >>>>> >>>>> Now: doing a copyfield adds a "value" to a multiValued field. For a text >>>>> field, you get a multi-valued text field. You should only copy one value >>>>> to the highlighted field, so just copyField the document to your special >>>>> field. To enforce this, I would add multiValued="false" to that field, >>>>> just to avoid mistakes. >>>>> >>>>> So, all_text should be indexed without the term* attributes, and should >>>>> not be stored. Then your document stored in a separate field that you use >>>>> for highlighting and has the term* attributes. >>>> >>>> I've been experimenting with this, and here's what I've tried: >>>> >>>> <field name="body" type="text_pl" indexed="true" stored="false" >>>> multiValued="true" termVectors="true" termPositions="true" termOff >>>> sets="true" /> >>>> <field name="body_all" type="text_pl" indexed="false" stored="true" >>>> multiValued="true" /> >>>> <copyField source="body" dest="body_all"/> >>>> >>>> ... but it's still very slow (10+ seconds). Why is it better to have two >>>> fields (one indexed but not stored, and the other not indexed but stored) >>>> rather than just one field that's both indexed and stored? >>>> >>>> >>>> From the Perf wiki page http://wiki.apache.org/solr/SolrPerformanceFactors >>>> >>>>> If you aren't always using all the stored fields, then enabling lazy >>>>> field loading can be a huge boon, especially if compressed fields are >>>>> used. >>>> >>>> What does this mean? How do you load a field lazily? >>>> >>>> Thanks for your time, guys - this has started to become frustrating, since >>>> it works so well, but is very slow! >>>> >>>> >>>> -Pete >>>> >>>> On Jul 20, 2010, at 5:36 PM, Peter Spam wrote: >>>> >>>>> Data set: About 4,000 log files (will eventually grow to millions). >>>>> Average log file is 850k. Largest log file (so far) is about 70MB. >>>>> >>>>> Problem: When I search for common terms, the query time goes from under >>>>> 2-3 seconds to about 60 seconds. TermVectors etc are enabled. When I >>>>> disable highlighting, performance improves a lot, but is still slow for >>>>> some queries (7 seconds). Thanks in advance for any ideas! >>>>> >>>>> >>>>> -Peter >>>>> >>>>> >>>>> ------------------------------------------------------------------------------------------------------------------------------------- >>>>> >>>>> 4GB RAM server >>>>> % java -Xms2048M -Xmx3072M -jar start.jar >>>>> >>>>> ------------------------------------------------------------------------------------------------------------------------------------- >>>>> >>>>> schema.xml changes: >>>>> >>>>> <fieldType name="text_pl" class="solr.TextField"> >>>>> <analyzer> >>>>> <tokenizer class="solr.WhitespaceTokenizerFactory"/> >>>>> <filter class="solr.LowerCaseFilterFactory"/> >>>>> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" >>>>> generateNumberParts="0" catenateWords="0" catenateNumbers="0" >>>>> catenateAll="0" splitOnCaseChange="0"/> >>>>> </analyzer> >>>>> </fieldType> >>>>> >>>>> ... >>>>> >>>>> <field name="body" type="text_pl" indexed="true" stored="true" >>>>> multiValued="false" termVectors="true" termPositions="true" >>>>> termOffsets="true" /> >>>>> <field name="timestamp" type="date" indexed="true" stored="true" >>>>> default="NOW" multiValued="false"/> >>>>> <field name="version" type="string" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> <field name="device" type="string" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> <field name="filename" type="string" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> <field name="filesize" type="long" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> <field name="pversion" type="int" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> <field name="first2md5" type="string" indexed="false" stored="true" >>>>> multiValued="false"/> >>>>> <field name="ckey" type="string" indexed="true" stored="true" >>>>> multiValued="false"/> >>>>> >>>>> ... >>>>> >>>>> <dynamicField name="*" type="ignored" multiValued="true" /> >>>>> <defaultSearchField>body</defaultSearchField> >>>>> <solrQueryParser defaultOperator="AND"/> >>>>> >>>>> ------------------------------------------------------------------------------------------------------------------------------------- >>>>> >>>>> solrconfig.xml changes: >>>>> >>>>> <maxFieldLength>2147483647</maxFieldLength> >>>>> <ramBufferSizeMB>128</ramBufferSizeMB> >>>>> >>>>> ------------------------------------------------------------------------------------------------------------------------------------- >>>>> >>>>> The query: >>>>> >>>>> rowStr = "&rows=10" >>>>> facet = >>>>> "&facet=true&facet.limit=10&facet.field=device&facet.field=ckey&facet.field=version" >>>>> fields = "&fl=id,score,filename,version,device,first2md5,filesize,ckey" >>>>> termvectors = "&tv=true&qt=tvrh&tv.all=true" >>>>> hl = "&hl=true&hl.fl=body&hl.snippets=1&hl.fragsize=400" >>>>> regexv = "(?m)^.*\n.*\n.*$" >>>>> hl_regex = "&hl.regex.pattern=" + CGI::escape(regexv) + >>>>> "&hl.regex.slop=1&hl.fragmenter=regex&hl.regex.maxAnalyzedChars=2147483647&hl.maxAnalyzedChars=2147483647" >>>>> justq = '&q=' + CGI::escape('body:' + fuzzy + p['q'].to_s.gsub(/\\/, >>>>> '').gsub(/([:~!<>="])/,'\\\\\1') + fuzzy + minLogSizeStr) >>>>> >>>>> thequery = '/solr/select?timeAllowed=5000&wt=ruby' + (p['fq'].empty? ? '' >>>>> : ('&fq='+p['fq'].to_s) ) + justq + rowStr + facet + fields + termvectors >>>>> + hl + hl_regex >>>>> >>>>> baseurl = '/cgi-bin/search.rb?q=' + CGI::escape(p['q'].to_s) + '&rows=' + >>>>> p['rows'].to_s + '&minLogSize=' + p['minLogSize'].to_s >>>>> >>>> >>> >>> >> >> -- >> Sent from my mobile device > >
