You may have to write your own javascript to read in the giant field and split it up.
On Thu, Aug 5, 2010 at 5:27 PM, Peter Spam <ps...@mac.com> wrote: > 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 > > -- Lance Norskog goks...@gmail.com
