Mehul,
Facets are typically implemented using cts:element-values (or
cts:element-attribute-values) to enumerate items in a value lexicon and
cts:frequency to get the counts. What does that mean? A lexicon keeps track of
the values in a particular element (or element-attribute pair). MarkLogic uses
a range index to make lookups and aggregations based on a lexicon fast. In your
example below, you’d create an element range index on the city element. The
index will accommodate "multi-word” values. For example, “New York” is a string
value just as “Boston” is; one just happens to have a space character. In your
application you’d use something like
cts:element-values(QName("”, “city"), "", ("frequency-order”))
to get the possible values. Then for each value call cts:frequency to get the
count. I’ve got provided an illustration using the cts builtins as well as the
Search API in an earlier thread
<http://marklogic.markmail.org/thread/gif4oqs2t4el5ftn>.
Please let me know if you have further questions or concerns.
Justin
Justin Makeig
Senior Product Manager
MarkLogic Corporation
email [email protected]<mailto:[email protected]>
web www.marklogic.com<http://www.marklogic.com/>
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On Oct 14, 2010, at 1:42 PM, Shah, Mehul (LNG-NPV) wrote:
I hope someone can provide me clue to how to do "multi word facet".
Thanks again!
-----Original Message-----
From:
[email protected]<mailto:[email protected]>
[mailto:[email protected]] On Behalf Of Shah, Mehul
(LNG-NPV)
Sent: Wednesday, October 06, 2010 1:50 PM
To: General Mark Logic Developer Discussion
Subject: [MarkLogic Dev General] facet with multiple words
How do I construct facet with multi-words (or exact content) of an element or
attribute?
For example:
Doc1- <doc>...<city>New York</city>...</doc>
Doc2- <doc>...<city>Orlando</city>...</doc>
Doc3- <doc>...<city>Old Bridge</city>...</doc>
Doc4- <doc>...<city>word1 word2 word3</city>...</doc>
...
Now I search a term, and that matched doc2 and doc3 along with many other docs.
I would like to get facet information like this...
[city name - (document hits for the search)]
Orlando - (5)
Old Bridge - (10)
Thanks,
Mehul.
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