This uses an enhanced version of the Nutch/Solr TextProfileSignatue.
As a result, a signature of the document is written to the solr search
index. Additionally for each time when a signature is written, it is
checked if the singature exists already in the index. If the signature
does not exist, the document is marked as unique. The unique attribute
can now be used to sort document lists and bring duplicates to the end
of a result list.
To enable this, a large portion of the search api to Solr had to be
changed. This affected mainly caching of 'exists' searches to enhance
the check for existing signatures and do this without actually doing a
solr query.
Because here the first time a long number is used as value in the Solr
store, also the value naming in the YaCySchema had to be adopted and
normalized. This caused that many files had to be changed.
the actual data which is fetched from solr.
- used the new field options to reduce generic options like getting the
load date or the count of search results. should increase overall speed
- used the new field options to reduce overhead in the host browser
during aquisition of links.
- used the field options to make checking of links in crawler faster
- if the crawler is paused, the crawl queue is not cleaned
- language default on missing lang property to "uk" (fix set to nothing)
- language set to TLD (added call to existing language calculation from TLD)
- coordinate number exception on possible lat/lon content of "NaN,NaN"
adjust Netbeans IDE classpath (for Solr/Lucene 4.0.0 jars)
caused by a JRE bug, the PixelGrabber had to be circumvented using an
own frame buffer which can be read without a PixelGrabber. This resulted
in ultra-fast and much less memory-consuming transformation. YaCy images
are now generated really fast!
superfluous. The target is to make a solr document as the core of YaCy
documents which would cause that many conversions can be removed. On the
way to this target the Equivalence of URIMetadataRow and URIMetadataNode
had to be removed to expose the usage of the old URIMetadataRow data
structure.
This refactoring already removes unneccessary conversions and should
make memory usage during indexing lower.
which had been then mixed with remote RWIs. Now these Solr documents are
feeded into the result set as they appear during local and remote
search. That makes the search much faster.
URIMetadataNode which creates the opportunity to access Solr objects
directly and use their information richness
- lazy initialization of the URIMetadataNode object - should cause less
computation and memory usage during search.
- removed dead code
MultiProtocolURI during normalform computation because that should
always be done and also be done during initialization of the
MultiProtocolURI Object. The new normalform method takes only one
argument which should be 'true' unless you know exactly what you are
doing.
- added indexing to Tables columns to support larger bookmark
collections
- added RDF output (HTTP) for public bookmarks at /YMarks.rdf
- YMarkRDF also provides a Jena RDF Model as "internal" API
- various other changes/fixes for YMarks (mainly backend)
title_count_i, title_chars_val, title_words_val
description_count_i, description_chars_val, description_words_val
- added many asserts to ensure data type correctness from YaCy to Solr
and vice versa
- made many fixes according to new findings from these asserts (!)
- fixed type definition found by the verifier
- added multivalue-string fields for solr with extension 'sxt'
- added multivalue-integer fields for solr with extension 'val'
- renamed some solr attributes from txt to sxt
- changed solr query line to an explicit AND/OR structure
- added a country code second level domain list to Domains class; with
parser
- added a host string parser to get domain class name, country-code
second-level domain and subdomain out of it
- removed old coordinate attributes
Node to Row objects
- removed peerDeparture in solr remote search in case that peer does not
answer (this may be normal because it is allowed to switch this off)