it is now possible to get the results in two steps:
- first retrieve all IDs as given for a query
- then retieve each document individually
This was necessary for very large result sets where a query may run for
hours and is possibly terminated by a solr-internal timeout. This occurs
regulary during postprocessing and therefore this commit may fix
unwanted postprocessing terminations.
during document parsing; instead use the same references that would also
be written into the webgraph. That should cause that the webgraph and
the citation index express the exact same semantic.
attribute in the <a> tag for each crawl. This introduces a lot of
changes because it extends the usage of the AnchorURL Object type which
now also has a different toString method that the underlying
DigestURL.toString. It is therefore not advised to use .toString at all
for urls, just just toNormalform(false) instead.
- unique-postprocessing was destroying results from other
postprocessings; removed cross-updates as they had been not necessary
- unique-postprocessing did not restrict on same protocol
- inefficient concurrent update cache was redesigned completely
- increased limits for concurrent blocking queues to prevent early
time-out
This organizes all urls to be loaded in separate queues for each host.
Each host separates the crawl depth into it's own queue. The primary
rule for urls taken from any queue is, that the crawl depth is minimal.
This produces a crawl depth which is identical to the clickdepth.
Furthermorem the crawl is able to create a much better balancing over
all hosts which is fair to all hosts that are in the queue.
This process will create a very large number of files for wide crawls in
the QUEUES folder: for each host a directory, for each crawl depth a
file inside the directory. A crawl with maxdepth = 4 will be able to
create 10.000s of files. To be able to use that many file readers, it
was necessary to implement a new index data structure which opens the
file only if an access is wanted (OnDemandOpenFileIndex). The usage of
such on-demand file reader shall prevent that the number of file
pointers is over the system limit, which is usually about 10.000 open
files. Some parts of YaCy had to be adopted to handle the crawl depth
number correctly. The logging and the IndexCreateQueues servlet had to
be adopted to show the crawl queues differently, because the host name
is attached to the port on the host to differentiate between http,
https, and ftp services.
- added order option to solr queries to be able to retrieve document
lists in specific order, here: link length
- added HyperlinkEdge class which manages the link structure
- integrated the HyperlinkEdge class into clickdepth computation
- extended the linkstructure.json servlet to show also the clickdepth
and other statistic information
instead of TreeMaps)
- enhanced memory footprint of database indexes (by introduction of
optimize calls)
- optimize calls shrink the amount of used memory for index sets if they
are not changed afterwards any more
different from normal requests. This happens if the remote solr is
actually a solrCloud; in such cases the luke request returns only the
result of the single solr peer, not the whole cloud.
also done: some refactoring.
- refactored all code which uses URIMetadataRow as standard for word
hash length and word hash ordering and moved that to the class 'Word',
becuase the class URIMetadataRow defined the old metadata data structure
and should be superfluous in the future
- removed unused methods from URIMetadataRow as preparation for further
removal of that class
causes Solr error (and wordindex likely finds suggestion)
org.apache.solr.core.SolrCore org.apache.solr.common.SolrException: org.apache.solr.search.SyntaxError: Cannot parse 'text_t:""d"': Lexical error at line 1, column 12. Encountered: <EOF> after : ""
at org.apache.solr.handler.component.QueryComponent.prepare(QueryComponent.java:171)
at org.apache.solr.handler.component.SearchHandler.handleRequestBody(SearchHandler.java:187)
at org.apache.solr.handler.RequestHandlerBase.handleRequest(RequestHandlerBase.java:135)
at net.yacy.cora.federate.solr.connector.EmbeddedSolrConnector.query(EmbeddedSolrConnector.java:179)
at net.yacy.cora.federate.solr.connector.EmbeddedSolrConnector$DocListSearcher.<init>(EmbeddedSolrConnector.java:345)
at net.yacy.cora.federate.solr.connector.EmbeddedSolrConnector.getCountByQuery(EmbeddedSolrConnector.java:364)
at net.yacy.cora.federate.solr.connector.MirrorSolrConnector.getCountByQuery(MirrorSolrConnector.java:326)
at net.yacy.cora.federate.solr.connector.ConcurrentUpdateSolrConnector.getCountByQuery(ConcurrentUpdateSolrConnector.java:440)
at net.yacy.search.index.Segment.getWordCountGuess(Segment.java:464)
at net.yacy.data.DidYouMean.getSuggestions(DidYouMean.java:181)
at suggest.respond(suggest.java:73)
as path for solr index dumps (instead of the SEGMENTS path). This will
make a maintenance of index backups easier. It will also provide a tool
to migrate from an freeworld index to a webportal index.
not-flushed Solr cache is now handled in this way:
- it is smaller by default
- an Solr-internal process is started to flush the cache periodically
(this does NOT clean the cache, just removes old objects)
- a Solr-external process (the standard YaCy cleanup-process) now has
direct access to the solr internal cache and flushes them completely.
The time frame for such a flush is defined by the cleanup-process
frequency, by default 10 minutes.
This shall fulfill the following requirement:
If a document A links to B and B contains a 'canonical C', then the
citation rank computation shall consider that A links to C and B does
not link to C.
To do so, we first must collect all canonical links, find all references
to them, get the anchor list of the documents and patch the citation
reference of these links.
webgraph index which is temporary filled with the crawl profile key.
This is used to select a set of documents for post-processing as soon as
a crawl is finished. Now the postprocessing for a specific crawl is
started when that specific crawl is finished and not at the end of all
post-processing steps.
there for deletion), this fixes a problem for the deletion of old
documents for new crawl starts
- added clickdepth and citation computation for fail documents
all unique links! This made it necessary, that a large portion of the
parser and link processing classes must be adopted to carry a different
type of link collection which carry a property attribute which are
attached to web anchors.
- introduction of a new URL class, AnchorURL
- the other url classes, DigestURI and MultiProtocolURI had been renamed
and refactored to fit into a new document package schema, document.id
- cleanup of net.yacy.cora.document package and refactoring
fuzzy_signature_copycount_i, which count the number of copies of
non-unique documents and assigns this to each document. Thus, each
document there is a number assigned which shows how many copies of this
document exists.
These fields are disabled by default.
regular expression on th url: the collection attribut for a crawl start
may be now either a token or a list of tokens, seperated by ',' where a
token is either a string or a pair <string,pattern> where the string is
separated to the pattern with a ':' and the string is assigned to the
document as collection only if the pattern matches with the url.
in intranets and the internet can now choose to appear as Googlebot.
This is an essential necessity to be able to compete in the field of
commercial search appliances, since most web pages are these days
optimized only for Google and no other search platform any more. All
commercial search engine providers have a built-in fake-Google User
Agent to be able to get the same search index as Google can do. Without
the resistance against obeying to robots.txt in this case, no
competition is possible any more. YaCy will always obey the robots.txt
when it is used for crawling the web in a peer-to-peer network, but to
establish a Search Appliance (like a Google Search Appliance, GSA) it is
necessary to be able to behave exactly like a Google crawler.
With this change, you will be able to switch the user agent when portal
or intranet mode is selected on per-crawl-start basis. Every crawl start
can have a different user agent.
Michael Peter Christen