calculated from boostfields config, making sure title, description, keywords and content is always searched.
- apply change to solrServlet makes sure every remote query uses at least all locally defined boost fields for search
- apply to local solr search
- simplify select query by using QF defaults
If the url contains special chars (like umlaute äöü) it's interpreted as multybyte char and actually not converted at all (removed).
Added a check if the multibyte convesion is not complete, just add the char as is.
This fixes http://mantis.tokeek.de/view.php?id=200
This is useful in intranet indexing while crawling a intranet file server accessed via hostname while e.g. under Windows mapped to different drive letters on individual clients.
Here you can crawl e.g. file://fileserver/documents having a valid uri in that intranet environment (while e.g. P:/documents might be client dependant).
After several tests found that eom is not prevented. Major reason in testing was assumption future GC will free avg of last 5 GC.
Disabeling this check improved eom exceptions.
Added simplest testcase used for verification
did not terminate:
Occurrences: 100
at java.util.HashMap$KeyIterator.next(HashMap.java:956)
at
net.yacy.cora.protocol.ConnectionInfo.cleanup(ConnectionInfo.java:300)
at
net.yacy.cora.protocol.ConnectionInfo.cleanUp(ConnectionInfo.java:293)
at net.yacy.search.Switchboard.cleanupJob(Switchboard.java:2212)
at sun.reflect.GeneratedMethodAccessor12.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
net.yacy.kelondro.workflow.InstantBusyThread.job(InstantBusyThread.java:105)
at
net.yacy.kelondro.workflow.AbstractBusyThread.run(AbstractBusyThread.java:215)
This tries to fix the problem; the problem should be monitored
given css class and extends a given vocabulary with a term consisting
with the text content of the html class tag. Additionally, the term is
included into the semantic facet of the document. This allows the
creation of faceted search to documents without the pre-creation of
vocabularies; instead, the vocabulary is created on-the-fly, possibly
for use in other crawls. If any of the term scraping for a specific
vocabulary is successful on a document, this vocabulary is excluded for
auto-annotation on the page.
To use this feature, do the following:
- create a vocabulary on /Vocabulary_p.html (if not existent)
- in /CrawlStartExpert.html you will now see the vocabularies as column
in a table. The second column provides text fields where you can name
the class of html entities where the literal of the corresponding
vocabulary shall be scraped out
- when doing a search, you will see the content of the scraped fields in
a navigation facet for the given vocabulary
