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  <<TableOfContents>>
  
+ ==== My system does not find the segments folder. Why? Or: How do I tell the 
''Nutch Servlet'' where the index file are located? ====
+ There are at least two choices to do that:
+ 
+  . First you need to copy the .WAR file to the servlet container webapps 
folder.
+ 
+ {{{
+    % cp nutch-0.7.war $CATALINA_HOME/webapps/ROOT.war
+ }}}
+  . 1) After building your first index, start Tomcat from the index folder.
+   . Assuming your index is located at /index :
+ 
+ {{{
+ % cd /index/
+ % $CATATALINA_HOME/bin/startup.sh
+ }}}
+  . '''Now you can search.'''
+ 
+  . 2) After building your first index, start and stop Tomcat which will make 
Tomcat extrat the Nutch webapp. Than you need to edit the nutch-site.xml and 
put in it the location of the index folder.
+ 
+ {{{
+ % $CATATALINA_HOME/bin/startup.sh
+ % $CATATALINA_HOME/bin/shutdown.sh
+ }}}
+ {{{
+ % vi $CATATALINA_HOME/bin/webapps/ROOT/WEB-INF/classes/nutch-site.xml
+ <?xml version="1.0"?>
+ <?xml-stylesheet type="text/xsl" href="nutch-conf.xsl"?>
+ 
+ <nutch-conf>
+ 
+   <property>
+     <name>searcher.dir</name>
+     <value>/your_index_folder_path</value>
+   </property>
+ 
+ </nutch-conf>
+ 
+ % $CATATALINA_HOME/bin/startup.sh
+ }}}
+ 
+ === Fetching ===
+ ==== How many concurrent threads should I use? ====
+ This is dependent on your particular setup, but the following generally works:
+ 
+ If you are using a slow Internet connection (ie- DSL), you might be limited 
to 40 or fewer concurrent fetches.
+ 
+ If you have a fast Internet connection (> 10Mb/sec) your bottleneck will 
definitely be in the machine itself (in fact you will need multiple machines to 
saturate the data pipe).  Empirically we find that the machine works well up to 
about 1000-1500 threads.
+ 
+ To get this to work on my Linux box I needed to set the ulimit to 65535 
(ulimit -n 65535), and I had to make sure that the DNS server could handle the 
load (we had to speak with our colo to get them to shut off an artificial cap 
on the DNS servers).  Also, in order to get the speed up to a reasonable value, 
we needed to set the maximum fetches per host to 100 (otherwise we get a quick 
start followed by a very long slow tail of fetching).
+ 
+ To other users: please add to this with your own experiences, my own 
experience may be atypical.
+ 
+ === Indexing ===
+ ==== Is it possible to change the list of common words without crawling 
everything again? ====
+ Yes. The list of common words is used only when indexing and searching, and 
not during other steps. So, if you change the list of common words, there is no 
need to re-fetch the content, you just need to re-create segment indexes to 
reflect the changes.
+ 
+ ==== How do I index my local file system? ====
+ The tricky thing about Nutch is that out of the box it has most plugins 
disabled and is tuned for a crawl of a "remote" web server - you '''have''' to 
change config files to get it to crawl your local disk.
+ 
+  . 1) crawl-urlfilter.txt needs a change to allow file: URLs while not 
following http: ones, otherwise it either won't index anything, or it'll jump 
off your disk onto web sites.
+   . Change this line: -^(file|ftp|mailto|https): to this: 
-^(http|ftp|mailto|https):
+  2) crawl-urlfilter.txt may have rules at the bottom to reject some URLs. If 
it has this fragment it's probably ok:
+   . # accept anything else +.*
+  3) By default the protocol-file plugin is disabled. nutch-site.xml needs to 
be modified to allow this plugin. Add an entry like this:
+ 
+ {{{
+     <property>
+       <name>plugin.includes</name>
+       <value>protocol-file|...copy original values from nutch-default 
here...</value>
+     </property>
+ }}}
+ where you should copy and paste all values from nutch-default.xml in the 
plugin.includes setting provided there. This will ensure that all plug-ins 
normally enabled will be enabled, plus the protocol-file plugin. Make sure that 
urlfilter-regex is included, or else '''the urlfilter files will be ignored''', 
leadingNnutch to accept all URLs. You need to enable crawl URL filters to 
prevent Nutch from crawling up the parent directory, see below.
+ 
+ Now you can invoke the crawler and index all or part of your disk. The only 
remaining gotcha is that if you use Mozilla it will '''not''' load file: URLs 
from a web paged fetched with http, so if you test with the Nutch web container 
running in Tomcat, annoyingly, as you click on results nothing will happen as 
Mozilla by default does not load file URLs. This is mentioned 
[[http://www.mozilla.org/quality/networking/testing/filetests.html|here]] and 
this behaviour may be disabled by a 
[[http://www.mozilla.org/quality/networking/docs/netprefs.html|preference]] 
(see security.checkloaduri). IE5 does not have this problem.
+ 
+ === Searching ===
+ ==== Common words are saturating my search results. ====
+ You can tweak your conf/common-terms.utf8 file after creating an index 
through the following command:
+ 
+  . bin/nutch org.apache.nutch.indexer.HighFreqTerms -count 10 -nofreqs index
+ 
+ ==== How is scoring done in Nutch? (Or, explain the "explain" page?) ====
+ Nutch is built on Lucene. To understand Nutch scoring, study how Lucene does 
it. The formula Lucene uses scoring can be found at the head of the Lucene 
Similarity class in the 
[[http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/search/Similarity.html|Lucene
 Similarity Javadoc]]. Roughly, the score for a particular document in a set of 
query results, "score(q,d)", is the sum of the score for each term of a query 
("t in q"). A terms score in a document is itself the sum of the term run 
against each field that comprises a document ("title" is one field, "url" 
another. A "document" is a set of "fields"). Per field, the score is the 
product of the following factors: Its "tf" (term freqency in the document), a 
score factor "idf" (usually a factor made up of frequency of term relative to 
amount of docs in index), an index-time boost, a normalization of count of 
terms found relative to size of document ("lengthNorm"), a similar 
normalization is done for the term in the query itself ("queryNorm"), and 
finally, a factor with a weight for how many instances of the total amount of 
terms a particular document contains. Study the lucene javadoc to get more 
detail on each of the equation components and how they effect overall score.
+ 
+ Interpreting the Nutch "explain.jsp", you need to have the above cited Lucene 
scoring equation in mind. First, notice how we move right as we move from 
"score total", to "score per query term", to "score per query document field" 
(A document field is not shown if a term was not found in a particular field). 
Next, studying a particular field scoring, it comprises a query component and 
then a field component. The query component includes query time -- as opposed 
to index time -- boost, an "idf" that is same for the query and field 
components, and then a "queryNorm". Similar for the field component 
("fieldNorm" is an aggregation of certain of the Lucene equation components).
+ 
+ ==== How can I influence Nutch scoring? ====
+ Scoring is implemented as a filter plugin, i.e. an implementation of the 
!ScoringFilter class. By default, the OPIC Scoring Filter is used.
+ 
+ However, the easiest way to influence scoring is to change query time boosts 
(Will require edit of nutch-site.xml and redeploy of the WAR file). Query-time 
boost by default looks like this:
+ 
+ {{{
+   query.url.boost, 4.0f
+   query.anchor.boost, 2.0f
+   query.title.boost, 1.5f
+   query.host.boost, 2.0f
+   query.phrase.boost, 1.0f
+ }}}
+ From the list above, you can see that terms found in a document URL get the 
highest boost with anchor text next, etc.
+ 
+ Anchor text makes a large contribution to document score (You can see the 
anchor text for a page by browsing to "explain" then editing the URL to put in 
place "anchors.jsp" in place of "explain.jsp").
+ 
+ ==== What is the RSS symbol in search results all about? ====
+ Clicking on the RSS symbol sends the current query back to Nutch to a servlet 
named 
[[http://lucene.apache.org/nutch/apidocs/org/apache/nutch/searcher/OpenSearchServlet.html|OpenSearchServlet]].
  
[[http://lucene.apache.org/nutch/apidocs/org/apache/nutch/searcher/OpenSearchServlet.html|OpenSearchServlet]]
 reruns the query and returns the results formatted instead as RSS (XML).  The 
RSS format is based on [[http://a9.com/-/spec/opensearchrss/1.0/|OpenSearch RSS 
1.0]] from [[http://www.a9.com|a9.com]]: 
"[[http://a9.com/-/spec/opensearchrss/1.0/|OpenSearch]] RSS 1.0 is an extension 
to the RSS 2.0 standard, conforming to the guidelines for RSS extensibility as 
outlined by the RSS 2.0 specification" (See also 
[[http://opensearch.a9.com/|opensearch]]). Nutch in turn  makes extension to 
[[http://a9.com/-/spec/opensearchrss/1.0/|OpenSearch]].  The Nutch extensions 
are identified by the 'nutch' namespace prefix and add to 
[[http://a9.com/-/spec/opensearchrss/1.0/|OpenSearch]] navigation information, 
the original query, and all fields that are available at search result time 
including the Nutch page boost, the name of the segment the page resides in, 
etc.
+ 
+ Results as RSS (XML) rather than HTML are easier for programmatic clients to 
parse: such clients will query against 
[[http://lucene.apache.org/nutch/apidocs/org/apache/nutch/searcher/OpenSearchServlet.html|OpenSearchServlet]]
 rather than search.jsp.  Results as XML can also be transformed using XSL 
stylesheets, the likely direction of UI development going forward.
+ 

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