the segments had been there to create a tenant-infrastructure but were
never be used since that was all much too complex. There will be a
replacement using a solr navigation using a segment field in the search
index.
not equal. It might happen that these data is different because one of
that caches is cleaned after a while or when it is too big. The metadata
is then not cleaned, but now wiped after a checkup process at every
application start. This should cause a bit less memory usage.
- search request are now made using a map boundary
- search results are only computed for the map boundary
- the number of results is adopted to the results in the visible range
- added a double-buffering for the search result markers
- added a search query option for the search results:
/radius/<lat>/<lon>/<radius>
queue and not from virtual documents generated by the parser.
- The parser now generates nice description texts for NOLOAD entries
which shall make it possible to find media content using the search
index and not using the media prefetch algorithm during search (which
was costly)
- Removed the media-search prefetch process from image search
only links where the content can be parsed. All non-parseable links are
placed into the noload queue. The search process must therefore be able
to filter out non-text search results.
- This fixes the problem that image search results appeared in the text
search.
- The interactive search can retrieve now ALL types of links
- The p2p interface is now extended to retrieve only certain types of
links (text, image, video, apps)
- The search process has an extension to filter the right document type
according to the search query
check semantically wrong, but a trick that prevented an IP lookup in
case that the filter was not used did not work. That bugfix causes that
crawling gets a huge speed boost for noload urls!
See
http://docs.oracle.com/javase/6/docs/api/java/util/concurrent/ConcurrentLinkedQueue.html
and the following test programm:
public class QueueLengthTimeTest {
public static long countTest(Queue<Integer> q, int c) {
long t = System.currentTimeMillis();
for (int i = 0; i < c; i++) {
q.add(q.size());
}
return System.currentTimeMillis() - t;
}
public static void main(String[] args) {
int c = 1;
for (int i = 0; i < 100; i++) {
Runtime.getRuntime().gc();
long t1 = countTest(new ArrayBlockingQueue<Integer>(c), c);
Runtime.getRuntime().gc();
long t2 = countTest(new LinkedBlockingQueue<Integer>(), c);
Runtime.getRuntime().gc();
long t3 = countTest(new ConcurrentLinkedQueue<Integer>(),
c);
System.out.println("count = " + c + ": ArrayBlockingQueue =
" + t1 + ", LinkedBlockingQueue = " + t2 + ", ConcurrentLinkedQueue = "
+ t3);
c = c * 2;
}
}
}
orbiter