- a solr field collection_sxt can be used to store a set of crawl tags
- when this field is activated, a crawl tag can be assigned when crawls
are started
- the content of the collection field can be comma-separated, all of
them are assigned to the documents when they are indexed as result of
such a crawl start
- a search result can be drilled down to a specific collection; this is
currently only available in the solr interface and also in the gsa
interface using the 'site' option
- this adds a mandatory field for gsa queries (the google api demands
that field all the time)
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 (!)
metadata representation from the solr index. This shall replace metadata
from the built-in database in the future.
- added the Solr-driven metadata into the search index of YaCy which
makes it now possible to run YaCy without the old metadata index. This
is a major stept forward to a full migration to Solr.
writings to the Metadata-DB are now also done to solr. This includes
metadata transfer during search and rwi transfer.
The new/added solr fields are:
## time when resource was loaded
load_date_dt
## date until resource shall be considered as fresh
fresh_date_dt
## id of the host, a 6-byte hash that is part of the document id
host_id_s
## ids of referrer to this document
referrer_id_ss
## the md5 of the raw source
md5_s
## the name of the publisher of the document
publisher_t
## the language used in the document; starts with primary language
language_ss
## an external ranking value
ranking_i
## the size of the raw source
size_i
## number of links to audio resources
audiolinkscount_i
## number of links to video resources
videolinkscount_i
## number of links to application resources
applinkscount_i
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.