- fixed superfluous space in query field list
- fixed filter query logic
- removed look-ahead query which caused that each new search page
submitted two solr queries
- fixed random solr result orders in case that the solr score was equal:
this was then re-ordered by YaCy using the document hash which came from
the solr object and that appeared to be random. Now the hash of the url
is used and the score is additionally modified by the url length to
prevent that this particular case appears at all.
by instatiation from URIMetadataNode, by eleminating differentiation of ResultEntry/URIMetadataNode.
- moved remaining ResultEntry functionallity to URIMetadataNode
- for 1:1 functionallity added a function makeResultEntry()
- removed ResultEntry
- refactored related code
Main difference is after makeResultEntry the text_t content is removed and alternative title/url strings for display are calculated.
Main difference left is, that
to support the new time parser and search functions in YaCy a high
precision detection of date and time on the day is necessary. That
requires that the time zone of the document content and the time zone of
the user, doing a search, is detected. The time zone of the search
request is done automatically using the browsers time zone offset which
is delivered to the search request automatically and invisible to the
user. The time zone for the content of web pages cannot be detected
automatically and must be an attribute of crawl starts. The advanced
crawl start now provides an input field to set the time zone in minutes
as an offset number. All parsers must get a time zone offset passed, so
this required the change of the parser java api. A lot of other changes
had been made which corrects the wrong handling of dates in YaCy which
was to add a correction based on the time zone of the server. Now no
correction is added and all dates in YaCy are UTC/GMT time zone, a
normalized time zone for all peers.
interface to distinguish rich and poor document data.
This also reverts some changes from commit
796770e070 because the firstSeen database
is the wrong method to distinguish these types of data
http://mantis.tokeek.de/view.php?id=505
It happens but not able to reproduce. This change makes sure terminate signal is catched at end of currently running merge jobs
- if an eventDate is given in the search result, replace the document
date with the event date and prefix it with the string "on ".
- the document date is omitted if a date from the cent is shown
Added also the date as fields in the json and rss result sets.
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
introduce FederateSearchManager handling search heuristic to external systems via specific FederateSearchConnectors,
which provide the query() functionallity, the translation to YaCy schema .toYaCySchema() and the search() routine to deliver results to searchevents, which is generally implemented in Abstract connector.
The manager enforces now a min 15s delay between calls to external systems.
Besides the OpensearchConnector a SolrFederateSearchConnector is available. It uses a additional config file for fieldname translation.
default heuristicopensearch.conf:
- openbdb.com removed - seems not longer to deliver results
- config via solrconnector to datacite.org added (large technical library archive)
thread pools will flush their cached (dead) threads after 60 seconds.
This will cause that YaCy now runs constantly withl about 50 threads,
about 100 at peak times. Previously, about 400 threads had been cached
and kept in a hibernation state, which caused that the numproc counter
in /proc/user_beancounters (exists only in VM-hosted linux) was as high
as the cached number of threads. This caused that VM supervisors
terminated whole VM sessions if a limit was reached. Many VM providers
have limits of numproc=96 which made it virtually impossible to run YaCy
on such machines. With this change, it will be possible to run many YaCy
instances even on VM hosts.
during document parsing; instead use the same references that would also
be written into the webgraph. That should cause that the webgraph and
the citation index express the exact same semantic.
- close stackfile inputstream at end of ChunkIterator
This should solve startup delay while unfinished crawl jobs exist (maybe also too many open file situation)
