all unique links! This made it necessary, that a large portion of the
parser and link processing classes must be adopted to carry a different
type of link collection which carry a property attribute which are
attached to web anchors.
- introduction of a new URL class, AnchorURL
- the other url classes, DigestURI and MultiProtocolURI had been renamed
and refactored to fit into a new document package schema, document.id
- cleanup of net.yacy.cora.document package and refactoring
which makes it possible to use solrj with the javabin format which is
much better (compressed, no xml overhead, java object streams) and
faster. Furthermore, this enables the 'shards' option in the solr
interface which connects one solr (YaCy) to another solr (YaCy) ad-hoc.
jdk-based logger tend to block
at java.util.logging.Logger.log(Logger.java:476) in concurrent
environments. This makes logging a main performance issue. To overcome
this problem, this is a add-on to jdk logging to put log entries on a
concurrent message queue and log the messages one by one using a
separate process.
- FTPClient uses the concurrent logging instead of the log4j logger
texts, separated by sentences. Then, these sentences can be used to
search again in the index for the same sentence. This can be used to
provide a tool for plagiarism-search. (not finished yet).
Try the following:
http://localhost:8090/solr/select?q=text_t:flut&grep=wasser&defType=edismax&start=0&rows=3&core=collection1&wt=grephtml
.. to search for 'flut' and show only sentences in the result documents
which contain the word 'wasser'.
Consider this like using a grep-tool on documents: you select the
documents by a search query and you grep sentences inside the found
documents with the 'grep' attribute.
output writer. This made the creation of a html result writer necessary
which is included in this commit. The yacydoc servlet was used to
present all metadata to a document, but the solr interface can serve for
this purpose in a much better way. All usages (instead one) of yacydoc
were replaced by a solr call. This affects also the 'metadata' link
attached to search results.
search interfaces if no other ranking attributes are given
- using the YaCy ranking in the GSA interface only if there was not
given a GSA-style sort attribute
- to avoid confusion about correct ranking attributes, only the default
'0'-ranking profile is used and not scenario-adopted (site, date)
because that should be configurable in the web interface before it is
used actually for ranking.
- an existing ranking servlet for solr was extended. It is now possible
to set boost values for fields, boost functions and boost queries.
- The ranking can have different instances, but currently only the first
one is used
- added an abstraction layer for fields which can be used for search and
those fields can be edited in the solr ranking configruation
- the ranking value from solr within the field score is used to combine
remote search requests, which all are created using the same locally
defined boost values
- reduced the number of fields which are used for search (makes it
faster)
- replaced some text fields by string fields (makes indexing faster)
- removed classes which had no use
- made a large number of experiments for a better ranking and created a
temporary setting which prefers hits inside titles
- adjusted also the RWI-based ranking computation to 'prefer title'
- made special cases like for portal search where no post-processing and
post-ranking is wanted: this keeps the original ranking order as done by
Solr
- fixed many bugs with old settings for ranking
The default schema uses only some of them and the resting search index
has now the following properties:
- webgraph size will have about 40 times as much entries as default
index
- the complete index size will increase and may be about the double size
of current amount
As testing showed, not much indexing performance is lost. The default
index will be smaller (moved fields out of it); thus searching
can be faster.
The new index will cause that some old parts in YaCy can be removed,
i.e. specialized webgraph data and the noload crawler. The new index
will make it possible to:
- search within link texts of linked but not indexed documents (about 20
times of document index in size!!)
- get a very detailed link graph
- enhance ranking using a complete link graph
To get the full access to the new index, the API to solr has now two
access points: one with attribute core=collection1 for the default
search index and core=webgraph to the new webgraph search index. This is
also avaiable for p2p operation but client access is not yet
implemented.
structure, but is not filled yet. To have the opportunity of a second
core, multi-core functionality had to be implemented to the
deep-embedded solr:
- migrated the solr_40 directory content to a subdirectory
'collection1'; the previously used default core is now called
collection1
- added solr_40/webgraph subdirectory as second core
- added a servlet configuration for the second core 'webgraph' in
/IndexSchema_p.html
- added instance handling as addition to solr connections: all solr
connectors are now instances of an solr 'instance' object; this required
a complete re-design of the solr embedding
- migrated also caching and sharding ontop of new instance handling
- migrated the search apis to handle now the access to a specific core,
the default core named 'collection1'
- migrated the remote solr search interface to access shards of cores;
for the yacy remote search the default core is now called 'solr'; using
the peer address as solr address
- migrated the solr backup and restore process: old backups cannot be
used after this migration!
- redesign of solr instance handling in all methods which access the
instances: they cannot hold copies of these instances any more; the must
retrieve the actuall connection object every time they want to write to
it (this solves also some bugs when switching the index/network)
- added another schema 'solr.webgraph.schema', the old solr.keys.list is
replaced by solr.collection.schema
Solr search interface in such way that it is possible to use this
interface for the yacyinteractive search. This search interface is now
much faster using the Solr search directly. For the Solr interface it
was necessary to create a translation from the YaCy search modifiers to
the Solr facet selection. This was added in such a way that it becomes
generic for the normal YaCy search and as a on-top evaluation for Solr
queries.
Michael Peter Christen