id to be tested, but with a collection of ids. This will cause only a
single call to solr instead of many. The result is a much better
performace when testing the existence of many urls. The effect should
cause very much less IO during index transmission, both on sender and
receiver side.
process counter if an blocking thread dies. Added also a new column in
PerformanceConcurrency_p servlet to show the actual number of concurrent
processes.
This will enable https-access to YaCy, but this feature is disabled by
default using the new server.https=false attribute. This has two
purposes:
- make it easier for everyone to use https (just set server.https=true)
- provide the basis for secure yacy-to-yacy communication in the future
appeared after the declaration of robots allow/deny for the crawler
because the sitemap parser terminated after the allow/deny rules had
been found. Now the parser reads the robots.txt until the end to
discover also sitemap rules at the end of the file.
- removed httpclient 3.1 which has been used by solrj < 4.x.x and is now
not used any more
- fixed some parts in YaCy which used methods from httpclient 3.1
Because the index size is now provided by solr, and the only way to do
that is a match for [* TO *], a size computation is quite complex and
time-consuming. Therefore this patch prevents that the method is called
at all and if necessary puts a DOS-preventing barrier in front of it.
- check geolocation coordinates and accept only those, which are
well-formed
- the solr push process does not stop crawling any more if after 20
requests to Solr Solr does not accept the record. Instead, a severe log
entry asks the user to create a bug request
does not block when long-running updates to solr are made. This is
realized using blocking queues which process all long-running tasks in
the background. Also some bugfixes to existing connectors.
- intruduced raw-queries for the re-introduced byId-Queries (they are
hopefully faster than full edismax queries)
- removed the cached solr connector (testing this) to rely only on the
solr built-in search caches. That should save some RAM (also). We will
see if this is usable.
Michael Peter Christen