This is intended for peers who want to participate in the P2P network but don't wish to load/fill-up their index with metadata of every received search result.
The DHT transfer is not effected by this option (and will work as usual, so that a peer disabling the new store to index switch still receives and holds the metadata according to DHT rules).
Downside for the local peer is that search speed will not improve if search terms are only avail. remote or by quick hits in local index.
To be able to improve the local index a Click-Servlet option was added additionally.
If switched on, all search result links point to this servlet, which forwards the users browser (by html header) to the desired page and feeds the page to the fulltext-index.
The servlet accepts a parameter defining the action to perform (see defaults/web.xml, index, crawl, crawllinks)
The option check-boxes are placed in ConfigPortal.html
stream the original to the search result thumb viewer. This has two
reasons:
- animated gifs cause 100% cpu and deadlocks in the jvm gif parser; a
known bug which is obviously not yet fixed
- animated gifs now appear in the search result also as animation
preferred over https. While this is a bad idea from the standpoint of
security it is more common applicable for environments where http and
https mix and for some domains https is not available. Then the
double-check is possible even if no postprocessing is performed.
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.
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.
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
TimeoutRequests. The purpose is to test if YaCy runs better on VMs where
there is a limitation of concurrent processes; see
/proc/user_beancounters in row numproc; this value is limited and should
be low. Try to set timeoutrequests to keep this low. (works only after
restart)
be transcoded into jpg for image previews. To create such pdfs you must
do:
Add wkhtmltopdf and imagemagick to your OS, which you can do:
On a Mac download wkhtmltox-0.12.1_osx-cocoa-x86-64.pkg from
http://wkhtmltopdf.org/downloads.html and downloadh
ttp://cactuslab.com/imagemagick/assets/ImageMagick-6.8.9-9.pkg.zip
In Debian do "apt-get install wkhtmltopdf imagemagick"
Then check in /Settings_p.html?page=ProxyAccess: "Transparent Proxy" and
"Always Fresh" - this is used by wkhtmltopdf to fetch web pages using
the YaCy proxy. Using "Always Fresh" it is possible to get all pages
from the proxy cache.
Finally, you will see a new option when starting an expert web crawl.
You can set a maximum depth for crawling which should cause a pdf
generation. The resulting pdfs are then available in
DATA/HTCACHE/SNAPSHOTS/<host>.<port>/<depth>/<shard>/<urlhash>.<date>.pdf
concurrently. When a RWI search result is flushed into the result set,
id does Solr Queries (which replaced the old-style Metadata Queries) and
they are possibly running concurrently to a previously startet Solr
search. Both methods may block each other with IO. To enhance the speed,
they are now serialized. Because the Solr search results may result in
better results using the more advanced and configurable Ranking methods,
this result is preverred over the RWI search result. However, remote RWI
search results are still feeded concurrently into the search result as
well.
if file in DATA/SETTINGS it is loaded otherwise file in ./defaults is loaded
(if locale ./defaults/stopwords.xx doesn't exist take solr/lang/stopwords_xx.txt as default)
move yacy.stopwords, yacy.stopwords.de and yacy.badwords.example out of root directory to ./defaults directory
to always get fresh lists of documents. This is necessary since the
postprocessing changes the same documents which the
postprocessing-collection query selects.
hold a date for each URL to record when a url was first seen. This is
then used to overwrite the modification date for urls upon recrawl in
case that the first-seen date is before the latest document date. This
behaviour is necessary due to the common behaviour of content management
systems which attach always the current date to all documents. Using the
firstSeen database it is possible to approximate a real first document
creation date in case that the crawler starts frequently for the same
domain. As a result the search results ordered by date have a much
better quality and the usage of YaCy as search agent for latest news has
a better quality.
