I've read through the DataImportHandler page a few times, and still can't figure out how to separate a large document into smaller documents. Any hints? :-) Thanks!
-Peter On Aug 2, 2010, at 9:01 PM, Lance Norskog wrote: > Spanning won't work- you would have to make overlapping mini-documents > if you want to support this. > > I don't know how big the chunks should be- you'll have to experiment. > > Lance > > On Mon, Aug 2, 2010 at 10:01 AM, Peter Spam <ps...@mac.com> wrote: >> What would happen if the search query phrase spanned separate document >> chunks? >> >> Also, what would the optimal size of chunks be? >> >> Thanks! >> >> >> -Peter >> >> On Aug 1, 2010, at 7:21 PM, Lance Norskog wrote: >> >>> Not that I know of. >>> >>> The DataImportHandler has the ability to create multiple documents >>> from one input stream. It is possible to create a DIH file that reads >>> large log files and splits each one into N documents, with the file >>> name as a common field. The DIH wiki page tells you in general how to >>> make a DIH file. >>> >>> http://wiki.apache.org/solr/DataImportHandler >>> >>> From this, you should be able to make a DIH file that puts log files >>> in as separate documents. As to splitting files up into >>> mini-documents, you might have to write a bit of Javascript to achieve >>> this. There is no data structure or software that implements >>> structured documents. >>> >>> On Sun, Aug 1, 2010 at 2:06 PM, Peter Spam <ps...@mac.com> wrote: >>>> Thanks for the pointer, Lance! Is there an example of this somewhere? >>>> >>>> >>>> -Peter >>>> >>>> On Jul 31, 2010, at 3:13 PM, Lance Norskog wrote: >>>> >>>>> Ah! You're not just highlighting, you're snippetizing. This makes it >>>>> easier. >>>>> >>>>> Highlighting does not stream- it pulls the entire stored contents into >>>>> one string and then pulls out the snippet. If you want this to be >>>>> fast, you have to split up the text into small pieces and only >>>>> snippetize from the most relevant text. So, separate documents with a >>>>> common group id for the document it came from. You might have to do 2 >>>>> queries to achieve what you want, but the second query for the same >>>>> query will be blindingly fast. Often <1ms. >>>>> >>>>> Good luck! >>>>> >>>>> Lance >>>>> >>>>> On Sat, Jul 31, 2010 at 1:12 PM, Peter Spam <ps...@mac.com> wrote: >>>>>> However, I do need to search the entire document, or else the >>>>>> highlighting will sometimes be blank :-( >>>>>> Thanks! >>>>>> >>>>>> - Peter >>>>>> >>>>>> ps. sorry for the many responses - I'm rushing around trying to get this >>>>>> working. >>>>>> >>>>>> On Jul 31, 2010, at 1:11 PM, Peter Spam wrote: >>>>>> >>>>>>> Correction - it went from 17 seconds to 10 seconds - I was changing the >>>>>>> hl.regex.maxAnalyzedChars the first time. >>>>>>> Thanks! >>>>>>> >>>>>>> -Peter >>>>>>> >>>>>>> On Jul 31, 2010, at 1:06 PM, Peter Spam wrote: >>>>>>> >>>>>>>> On Jul 30, 2010, at 1:16 PM, Peter Karich wrote: >>>>>>>> >>>>>>>>> did you already try other values for hl.maxAnalyzedChars=2147483647 >>>>>>>> >>>>>>>> Yes, I tried dropping it down to 21, but it didn't have much of an >>>>>>>> impact (one search I just tried went from 17 seconds to 15.8 seconds, >>>>>>>> and this is an 8-core Mac Pro with 6GB RAM - 4GB for java). >>>>>>>> >>>>>>>>> ? Also regular expression highlighting is more expensive, I think. >>>>>>>>> What does the 'fuzzy' variable mean? If you use this to query via >>>>>>>>> "~someTerm" instead "someTerm" >>>>>>>>> then you should try the trunk of solr which is a lot faster for fuzzy >>>>>>>>> or >>>>>>>>> other wildcard search. >>>>>>>> >>>>>>>> "fuzzy" could be set to "*" but isn't right now. >>>>>>>> >>>>>>>> Thanks for the tips, Peter - this has been very frustrating! >>>>>>>> >>>>>>>> >>>>>>>> - Peter >>>>>>>> >>>>>>>>> Regards, >>>>>>>>> Peter. >>>>>>>>> >>>>>>>>>> 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 >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> http://karussell.wordpress.com/ >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>>> >>>>> >>>>> >>>>> >>>>> -- >>>>> Lance Norskog >>>>> goks...@gmail.com >>>> >>>> >>> >>> >>> >>> -- >>> Lance Norskog >>> goks...@gmail.com >> >> > > > > -- > Lance Norskog > goks...@gmail.com
