On some conditions (especially when reaching timeout), concurrent Solr
query tasks used by the /HostBrowser.html and /api/linkstructure.json
never terminated, thus leaking resources, as reported by @Vort in issue
#246
if at least one of the image size fields is enabled in index (images_height_val,
images_width_val, images_pixel_val).
Previously all fields were required to be enabled (hint: default setting
is height + width enabled)
to make sure updated documents are indexed with their last-modified
date as provided in current crawl.
(to patch moddate always with firstseen might bear the risk of miss
actual updates).
Especially for Turkish speaking users using "tr" as their system default
locale : strings for technical stuff (URLs, tag names, constants...)
must not be lower cased with the default locale, as 'I' doesn't becomes
'i' like in other locales such as "en", but becomes 'ı'.
Revealed by commit c77e43a : the exception was then thrown when indexing
pages containing mailto: scheme URL links with the Solr Webgraph core
enabled.
Fixed the error case and restored filtering on mailto links in
Document.resortLinks() as these URLs still should not appear in
Document.hyperlinks.
These fields are default enabled but with no doubt not strictly
mandatory with the current code base.
As reported by @reger24, splitting between essential mandatory and
optional fields is still to be improved to reflect the current YaCy
needs.
- Added a new method to check activation of mandatory fields on
Collection Configuration commit, consistently with checks previously
performed in Switchboard startup and with mandatory fields in the
default schema.
- Reorganized default schema and CollectionConfiguration enumeration :
moved no more mandatory fields in a specific section, and moved fields
enabled at startup to the mandatory section.
- Marked mandatory fields as required and with stronger font in the
IndexSchema_p.html page
to avoid repeat of tokenized url as description,
continuation of 7e09bff4a11409cabe8b
Add some javadoc, and not needed remove of omitted fields in postprocessing.
index schema.
To assemble the original link url for out-/inboundlinks, icons and pictures
the *_protocol_sxt and *_urlstub_sxt is needed (due to the used data-reduced
storage methode). Auto-enable *_protocol_sxt if *_urlstub_sxt is enabled.
to be able to correctly assemble the original link url.
Added Javadocs to refactored methods.
Added log warnings instead of silently failing some errors.
Only fill collection1hosts when required ( shallComputeCR true).
to also support handling of urls w/o corresponding file-extension.
For this refactor use of document.getParserObject() to alway return a Parser (for clean logic)
and define/move the scraperObject as local var of AbstractParser.
Adjust related calls to getParserObject (where actually a scraperObject is wanted).
Addionally skip appending url token to parsed text for dht metadata entries
(by default returned as result by rwi index).
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.
during surrogate reading: those attributes from the dump are removed
during the import process and replaced by new detected attributes
according to the setting of the YaCy peer.
This may cause that all such attributes are removed if the importing
peer has no synonyms and/or no vocabularies defined.
Daleth Darko