How Can i achieve the following:
Suppose i have the following set of documents
{
"id": "1"
"type": "abc"
},
{
"id": "2"
"type": "abc"
},
{
"id": "2"
"type": "abc"
},
{
"id": "3"
"type": "abc"
}
Using a taxonomy index in lucene in facets i can get the count during search
that gives
Hi,
FYI, the old NumericRangeQuery is fast here, because it rewrites to a constant
score BooleanQuery for this low-cardinality case! If you have no real range,
then it rewrites to a TermQuery!
Points are different, they are not so good for simple term-based lookups.
Uwe
-
Uwe Schindler
H.
Thank you both for the explanation, we will switch to StringField with a
TermQuery instead.
On 02.11.2016 20:09, Michael McCandless wrote:
> Yeah it's best to use StringField for low-cardinality use cases.
>
> When cardinality is low (4 unique values in your case), legacy
> numerics would rewrite
Yeah it's best to use StringField for low-cardinality use cases.
When cardinality is low (4 unique values in your case), legacy
numerics would rewrite to a BooleanQuery, which is much more
performant for MUST clauses, vs dimensional points which will always
need to construct an up front bitset for
Hi florian,
If my understanting is correct, you are using IntPoint to index 4 different
document types which is overkill; why not to try classic “non-tokenized”
keyword field (a.k.a. “legacy string”) for document types? Cardinality is
only four for document types.
--
Fuad Efendi
(416) 993-2060
Hi,
we are indexing different types of documents in one Lucene index. They
have most fields in common but we need to filter some types for certain
queries. We are using numeric values to determine the types of documents
(1-4). Now, when querying these documents we see that the performance
degrades
I saw the commit you made. Thank you!
Shinichiro Abe
2016-11-02 18:38 GMT+09:00 Michael McCandless :
> Thank you, I pushed your patch on that issue!
>
> Mike McCandless
>
> http://blog.mikemccandless.com
>
>
> On Tue, Nov 1, 2016 at 1:51 AM, Shinichiro Abe
> wrote:
>> I opened https://issues.apa
Thank you, I pushed your patch on that issue!
Mike McCandless
http://blog.mikemccandless.com
On Tue, Nov 1, 2016 at 1:51 AM, Shinichiro Abe
wrote:
> I opened https://issues.apache.org/jira/browse/LUCENE-7532, attached a patch.
>
> Thank you,
> Shinichiro Abe
>
> 2016-10-29 18:50 GMT+09:00 Mich
