parsing into individual pages and add them all using different URLs.
These constructed urls are generated from the source url with an
appended page=<pagenumber> attribute to the url get/post properties.
This will distinguish the different page entries. The search result list
will then replace the post parameter with a url anchor # mark which
causes that the original url is presented in the search result. These
URLs can be opened directly on the correct page using pdf.js which is
now built-in into firefox. That means: if you find a search hit on page
5 and click on the search result, firefox will open the pdf viewer and
shows page 5.
from documents which actually are inside the index. This can be
reproduced using the crawl result table at
http://localhost:8090/CrawlResults.html?process=5
The cache is temporary disabled to remove the bad behaviour, however a
later reactivation of that feater may be possible.
generated dynamically which will stay static in the future. This applies
mainly to the search result favicon in front of search hits. These icons
will now be generated once, but then caches in the browser. There is
also a YaCy-internal cache for these icons which had prevented the
re-generation of the icons in YaCy, but this cache is now superfluous
since the browser should not call the servlet ViewImage again.
occurrences within the (web) page documents (not the document
last-modified!). This works only if the solr field dates_in_content_sxt
is enabled. A search request may then have the form "term on:<date>",
like
gift on:24.12.2014
gift on:2014/12/24
* on:2014/12/31
For the date format you may use any kind of human-readable date
representation(!yes!) - the on:<date> parser tries to identify language
and also knows event names, like:
bunny on:eastern
.. as long as the date term has no spaces inside (use a dot). Further
enhancement will be made to accept also strings encapsulated with
quotes.
notions within the fulltext of a document. This class attempts to
identify also dates given abbreviated or with missing year or described
with names for special days, like 'Halloween'. In case that a date has
no year given, the current year and following years are considered.
This process is therefore able to identify a large set of dates to a
document, either because there are several dates given in the document
or the date is ambiguous. Four new Solr fields are used to store the
parsing result:
dates_in_content_sxt:
if date expressions can be found in the content, these dates are listed
here in order of the appearances
dates_in_content_count_i:
the number of entries in dates_in_content_sxt
date_in_content_min_dt:
if dates_in_content_sxt is filled, this contains the oldest date from
the list of available dates
#date_in_content_max_dt:
if dates_in_content_sxt is filled, this contains the youngest date from
the list of available dates, that may also be possibly in the future
These fields are deactiviated by default because the evaluation of
regular expressions to detect the date is yet too CPU intensive. Maybe
future enhancements will cause that this is switched on by default.
The purpose of these fields is the creation of calendar-like search
facets, to be implemented next.
- new switch 'isFacet' which causes that the usage of the vocabulary for
search facets is enabled or disabled. This shall be used for large
vocabularies sind searched in solr are extremely slow if facets for a
large set of alternative terms are generated
- new option to disable auto-enrichment from synonyms
- new option to add synonyms from another column when importing from csv
- automatically recognize double-occurrences in synonyms and bundling
terms for such synonyms
- snapshots can now also be xml files which are extracted from the solr
index and stored as individual xml files in the snapshot directory along
the pdf and jpg images
- a transaction layer was placed above of the snapshot directory to
distinguish snapshots into 'inventory' and 'archive'. This may be used
to do transactions of index fragments using archived solr search results
between peers. This is currently unfinished, we need a protocol to move
snapshots from inventory to archive
- the SNAPSHOT directory was renamed to snapshot and contains now two
snapshot subdirectories: inventory and archive
- snapshots may now be generated by everyone, not only such peers
running on a server with xkhtml2pdf installed. The expert crawl starts
provides the option for snapshots to everyone. PDF snapshots are now
optional and the option is only shown if xkhtml2pdf is installed.
- the snapshot api now provides the request for historised xml files,
i.e. call:
http://localhost:8090/api/snapshot.xml?urlhash=Q3dQopFh1hyQ
The result of such xml files is identical with solr search results with
only one hit.
The pdf generation has been moved from the http loading process to the
solr document storage process. This may slow down the process a lot and
a different version of the process may be needed.
list of latest/oldest entries in the snapshot database. This is an
example:
http://localhost:8090/api/snapshot.rss?depth=2&order=LATESTFIRST&host=yacy.net&maxcount=100
The properties depth, order, host and maxcount can be omited. The
meaning of the fields are:
host: select only urls from this host or all, if not given
depth: select only urls at that crawl depth or all, if not given
maxcount: select at most the given number of urls or 10, if not given
order: either LATESTFIRST to select the youngest entries, OLDESTFIRST to
select the first entries or ANY to select any
The rss feed needs administration rights to work, a call to this servlet
with rss extension must attach login credentials.
so viewed text and metadata (stored) info is similar
- to archive it, use request with profile to allow indexing (defaultglobaltext) and update index
(the resource is loaded, parsed anyway, so it's not a expensive operation)
Request: remove 2 unused init parameter
- number of anchors of the parent
- forkfactor sum of anchors of all ancestors
thread pools will flush their cached (dead) threads after 60 seconds.
This will cause that YaCy now runs constantly withl about 50 threads,
about 100 at peak times. Previously, about 400 threads had been cached
and kept in a hibernation state, which caused that the numproc counter
in /proc/user_beancounters (exists only in VM-hosted linux) was as high
as the cached number of threads. This caused that VM supervisors
terminated whole VM sessions if a limit was reached. Many VM providers
have limits of numproc=96 which made it virtually impossible to run YaCy
on such machines. With this change, it will be possible to run many YaCy
instances even on VM hosts.
Michael Peter Christen
