don't give up yet kris.
q={!prefix f=metatag.date}2016-10&debugQuery
g'luck
will
On 11/17/2016 5:56 PM, Kris Musshorn wrote:
This q={!prefix f=metatag.date}2016-10 returns zero records
-----Original Message-----
From: KRIS MUSSHORN [mailto:mussho...@comcast.net]
Sent: Thursday, November 17, 2016 3:00 PM
To: solr-user@lucene.apache.org<mailto:solr-user@lucene.apache.org>
Subject: Re: field set up help
so if the field was named metatag.date q={!prefix f=metatag.date}2016-10....
----- Original Message -----
From: "Erik Hatcher" <erik.hatc...@gmail.com><mailto:erik.hatc...@gmail.com>
To: solr-user@lucene.apache.org<mailto:solr-user@lucene.apache.org>
Sent: Thursday, November 17, 2016 2:46:32 PM
Subject: Re: field set up help
Given what you’ve said, my hunch is you could make the query like this:
q={!prefix f=field_name}2016-10
tada! ?!
there’s nothing wrong with indexing dates as text like that, as long as your
queries are performantly possible. And in the case of the query type you
mentioned, the text/string’ish indexing you’ve done is suited quite well to
prefix queries to grab dates by year, year-month, and year-month-day. But you
could, if needed to get more sophisticated with date queries (DateRangeField is
my new favorite) you can leverage ParseDateFieldUpdateProcessorFactory without
having to change the incoming format.
Erik
On Nov 17, 2016, at 1:55 PM, KRIS MUSSHORN
<mussho...@comcast.net><mailto:mussho...@comcast.net> wrote:
I have a field in solr 5.4.1 that has values like:
2016-10-15
2016-09-10
2015-10-12
2010-09-02
Yes it is a date being stored as text.
I am getting the data onto solr via nutch and the metatag plug in.
The data is coming directly from the website I am crawling and I am not able to
change the data at the source to something more palpable.
The field is set in solr to be of type TextField that is indexed, tokenized,
stored, multivalued and norms are omitted.
Both the index and query analysis chains contain just the whitespace tokenizer
factory and the lowercase filter factory.
I need to be able to query for 2016-10 and only match 2016-10-15.
Any ideas on how to set this up?
TIA
Kris
