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).
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
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)
from documents which actually are inside the index. This can be
reproduced using the crawl result table at
http://localhost:8090/CrawlResults.html?process=5
The cache is temporary disabled to remove the bad behaviour, however a
later reactivation of that feater may be possible.
notions within the fulltext of a document. This class attempts to
identify also dates given abbreviated or with missing year or described
with names for special days, like 'Halloween'. In case that a date has
no year given, the current year and following years are considered.
This process is therefore able to identify a large set of dates to a
document, either because there are several dates given in the document
or the date is ambiguous. Four new Solr fields are used to store the
parsing result:
dates_in_content_sxt:
if date expressions can be found in the content, these dates are listed
here in order of the appearances
dates_in_content_count_i:
the number of entries in dates_in_content_sxt
date_in_content_min_dt:
if dates_in_content_sxt is filled, this contains the oldest date from
the list of available dates
#date_in_content_max_dt:
if dates_in_content_sxt is filled, this contains the youngest date from
the list of available dates, that may also be possibly in the future
These fields are deactiviated by default because the evaluation of
regular expressions to detect the date is yet too CPU intensive. Maybe
future enhancements will cause that this is switched on by default.
The purpose of these fields is the creation of calendar-like search
facets, to be implemented next.
- new switch 'isFacet' which causes that the usage of the vocabulary for
search facets is enabled or disabled. This shall be used for large
vocabularies sind searched in solr are extremely slow if facets for a
large set of alternative terms are generated
- new option to disable auto-enrichment from synonyms
- new option to add synonyms from another column when importing from csv
- automatically recognize double-occurrences in synonyms and bundling
terms for such synonyms
- snapshots can now also be xml files which are extracted from the solr
index and stored as individual xml files in the snapshot directory along
the pdf and jpg images
- a transaction layer was placed above of the snapshot directory to
distinguish snapshots into 'inventory' and 'archive'. This may be used
to do transactions of index fragments using archived solr search results
between peers. This is currently unfinished, we need a protocol to move
snapshots from inventory to archive
- the SNAPSHOT directory was renamed to snapshot and contains now two
snapshot subdirectories: inventory and archive
- snapshots may now be generated by everyone, not only such peers
running on a server with xkhtml2pdf installed. The expert crawl starts
provides the option for snapshots to everyone. PDF snapshots are now
optional and the option is only shown if xkhtml2pdf is installed.
- the snapshot api now provides the request for historised xml files,
i.e. call:
http://localhost:8090/api/snapshot.xml?urlhash=Q3dQopFh1hyQ
The result of such xml files is identical with solr search results with
only one hit.
The pdf generation has been moved from the http loading process to the
solr document storage process. This may slow down the process a lot and
a different version of the process may be needed.
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.
reger
