It can take any Date field of the index and displays a list of year strings
in reverse order by the year (not the score/count).
To allow to define the index field to use, the fieldname (and title can be
appended to the navi's name "year" e.g. year:load_date_dt:LoadDate
It works also with dates_in_content_dts field (from the graphical date
navigator). Here the query parameter from: to: are used on selection as
Query modifier (for other dates currently no query parameter available, so
selection won't work to filter search results).
Not included in the UI Searchpage layout config so far (for experiment with
it manual change to conf needed).
the navigator to include counts all matches (rwi+fulltext).
Fixing also unresolved_pattern in navigators title (of the counter)
The use of inurl: query modifier as filter has not been changed keeping
it as soft (unsharp) filter facet.
Upd StringNavigator to prevent empty string form multivalued solr fields,
removed date value conversion (better handled elsewhere, not need here).
Prepared the first basic navigators (for authors and collections) for the
list of SearchEvent.navigatorPlugins and adjusted servlet to use these.
- this allows to configure display order of these navigators (by ordering config string)
- eventually allows for additional and/or custom navigators using any
available index field without need for changing servlets
- the Collection navigation has been adjusted to exclude the internal,
default robot_* and dht collections from displaying
- rwi results are now also checked for navigatior by the refactored navi's
So far no config options were added to customize or add navigators (may
come later if route of upcoming modularization/plugin system is defined).
- move the maxcount limit restriction completely to getTopicNavigator (as there not used in getTopics)
- let search servlet use getTopics by default (w/o RWI connected check, as of now, Topics are available w/o any additional index interaction)
+ changed the postRanking to add one score only if word appears more as one time.
+ getTopics() unused code block rem'd (save performace)-> routine needs rework !
Update the result score result field with the result queue ranking value to reflect
the actual calculated/used score,
for rwi & solr stack results.
(calc. etc. is unchanged, it's just that result entry carries the latest val
as api retrieves the number from it)
Collection is not available in pure rwi entries (but in local solr metadata)
But if user wishes to filter by query constraint also rwi shall adhere to this
(even if only rwi entries with parsed or solr received metadata may fit)
1-char tokens and also more-than-1-char tokens, then remove the 1-char
tokens to prevent that we are to strict. This will make it possible to
be a bit more fuzzy in the search where it is appropriate.
moved and was not cleared anymore. This results in an huge fieldcache.
(http://lucene.apache.org/#highlights-of-the-lucene-release-includehttps://issues.apache.org/jira/browse/LUCENE-5666)
Here I try to use DovValues where it is possible.
For this I used the Api-Scheme as new basis für the Solr-Schema.
This needs at least a complete optimization of the Solr-Index to get a
smaller FieldCache.
Everything that is indexed with these setting will not use the
Fieldcache at all.
bayesian filters. This can be used to classify documents during
indexing-time using a pre-definied bayesian filter.
New wordings:
- a context is a class where different categories are possible. The
context name is equal to a facet name.
- a category is a facet type within a facet navigation. Each context
must have several categories, at least one custom name (things you want
to discover) and one with the exact name "negative".
To use this, you must do:
- for each context, you must create a directory within
DATA/CLASSIFICATION with the name of the context (the facet name)
- within each context directory, you must create text files with one
document each per line for every categroy. One of these categories MUST
have the name 'negative.txt'.
Then, each new document is classified to match within one of the given
categories for each context.
- fixed superfluous space in query field list
- fixed filter query logic
- removed look-ahead query which caused that each new search page
submitted two solr queries
- fixed random solr result orders in case that the solr score was equal:
this was then re-ordered by YaCy using the document hash which came from
the solr object and that appeared to be random. Now the hash of the url
is used and the score is additionally modified by the url length to
prevent that this particular case appears at all.
by instatiation from URIMetadataNode, by eleminating differentiation of ResultEntry/URIMetadataNode.
- moved remaining ResultEntry functionallity to URIMetadataNode
- for 1:1 functionallity added a function makeResultEntry()
- removed ResultEntry
- refactored related code
Main difference is after makeResultEntry the text_t content is removed and alternative title/url strings for display are calculated.
Main difference left is, that
to support the new time parser and search functions in YaCy a high
precision detection of date and time on the day is necessary. That
requires that the time zone of the document content and the time zone of
the user, doing a search, is detected. The time zone of the search
request is done automatically using the browsers time zone offset which
is delivered to the search request automatically and invisible to the
user. The time zone for the content of web pages cannot be detected
automatically and must be an attribute of crawl starts. The advanced
crawl start now provides an input field to set the time zone in minutes
as an offset number. All parsers must get a time zone offset passed, so
this required the change of the parser java api. A lot of other changes
had been made which corrects the wrong handling of dates in YaCy which
was to add a correction based on the time zone of the server. Now no
correction is added and all dates in YaCy are UTC/GMT time zone, a
normalized time zone for all peers.
reger