Hi,
Is there a way to index an entire json document automatically as one can do
with the new PostgreSQL json support? By automatically, I mean to create an
inverted index entry (path: value) for each element in the document without
having to specify in advance a schema.
If not in Lucene, can this
re :)
>
> http://www.elasticsearch.org/overview/elasticsearch/
>
> []s
> Napoli
>
> http://numere.stela.org.br
>
>
>
>
> 2014-09-04 7:46 GMT-03:00 Larry White :
>
> > Hi,
> >
> > Is there a way to index an entire json document automatically as one can
>
Hi,
I'm looking for some insight into what conditions cause QueryNodeException
and what one typically does about it? Since it's a checked exception, it
implies that you are supposed to handle it recover, but the javadoc doesn't
say much/anything about what causes it, so it's not so clear how to re
Hi,
I'm writing a backup routine for a system that includes Lucene for
full-text search. The primary data store is based on immutable files, so it
can be backed-up incrementally by copying any new files (and removing any
files that have been deleted from earlier backups). It's my understanding
fro
s out, would it
> work to just use the built-in snapshot process? Here's something I
> found (but didn't look at very closely) to get you started:
>
> http://stackoverflow.com/questions/17753226/lucene-4-3-1-backup-process
>
> And there's a link to the Lucene user&
I'm using Lucene 4.10.3. (I plan to upgrade soon but need to fix an issue
on this version today).
I switched a Lucene index from using string document ids to byte arrays.
The problem I'm having is that the system no longer finds documents by
their id. I *suspect* this is because the lucene code is
ment)
> will ever be able to find it.
>
> Try StringField instead ... in recent versions you can pass a BytesRef
> value to that.
>
> Mike McCandless
>
> http://blog.mikemccandless.com
>
>
> On Wed, Sep 23, 2015 at 10:17 AM, Larry White
> wrote:
> > I'm
