- removed metager2.de -> is down
for me also others didn't work today (but left unchanged)
but added a html onerror event to inform if connection was refused.
instead of loading the solr document, an index only for the last loading
time was created. This prevents that solr has to fetch from its index
while the index is created. Excessive re-loading of documents while
indexing has shown to produce deadlocks, so this should now be
prevented.
This is almost working with many workarounds:
- run rm lib/yacycore.jar
- run ./gradlew clean build bundleNative
- run ant clean all
- run again rm lib/yacycore.jar
- run ./fixMacBuild.sh
The build is then inside build/mac/YaCy.app
Right now this works so far but it does not have the correct release
number inside.
Target is to make this working for Windows releases and to embedd jre
entirely.
This can be seen as a fix for
https://github.com/yacy/yacy_search_server/issues/343
however, the export was not flawed, it is just the impression that
something is wrong, but the export size must be smaller than the index
size because the index also containers error documents.
Now an information line is presented that shows i.e.:
"The local index currently contains 181,319 documents, only 106,887
exportable with status code 200 - the remaining are error documents."
a main problem when crawling is long waiting time cuased by crawl-delay
values from robots.txt entries. that attribute is not supported by
google and interpreted by yandex and bing in different ways. In large
crawls there is always one host which blocks the whole crawl with
extreme large values. YaCy now still obeys crawl-delay but limits them
to 10 seconds.
Additionally the blocking logic when loading new robots.txt was analyzed
and a deadlock was removed. Furthermore the construction of new queue
lists was redesigned and it was ensured that always a large list of
different hosts for host-balancing is provided for the loader.
We will use the default value for now on.
This is much better for resource economy and fits better into a
container/docker/kubernetes strategy.
Furthermore, a small memory footprint is essential for the usage on
small devices like RaspberryPi.
thkoch2001