You'd probably be better off indexing it as a "string" type given your
expectations. Depending on the analysis chain (do take a look at
admin/analysis for the field in question) the tokenization can be tricky
to get right.
Best,
Erick
On Thu, Dec 8, 2016 at 7:18 AM, KRIS MUSSHORN <mussho...@comcast.net> wrote:
> Im indexing data from Nutch into SOLR 5.4.1.
> I've got a date metatag that I have to store as text type because the data
> stinks.
> It's stored in SOLR as field metatag.date.
> At the source the dates are formatted (when they are entered correctly ) as
> YYYY-MM-DD
>
> q=metatag.date:2016-01* does not produce the correct results and returns
> undesireable matches....2016-05-01 etc as example.
> q={!prefix f=metatag.date}2016-01 gives me exactly what I want for one
> month/year.
>
> My question is how do I chain n prefix queries together?
> i.e.
> I want all docs where metatag.date prefix is 2016-01 or 2016-07 or 2016-10
>
> TIA,
> Kris
>
