Basically, you will have to maintain more filters. Also Lucene supports up
to certain amount of fields, it wasn't designed to handle unlimited number
of them

--

Itamar Syn-Hershko
http://code972.com | @synhershko <https://twitter.com/synhershko>
Freelance Developer & Consultant
Author of RavenDB in Action <http://manning.com/synhershko/>

On Wed, Dec 10, 2014 at 10:35 AM, Dror Atariah <dror...@gmail.com> wrote:

> @Itamar: Can you please elaborate on the matter? Why/how does the number
> of fields relevant here?
>
> On Wednesday, December 10, 2014 4:26:16 PM UTC+1, Itamar Syn-Hershko wrote:
>>
>> Lucene / Elasticsearch is pretty much insignificant to this as long as
>> you use filters. You should prefer not_analyzed fields with string values
>> to represent those flags vs having dedicated boolean fields if you will
>> have more than a few such flags.
>>
>> --
>>
>> Itamar Syn-Hershko
>> http://code972.com | @synhershko <https://twitter.com/synhershko>
>> Freelance Developer & Consultant
>> Author of RavenDB in Action <http://manning.com/synhershko/>
>>
>> On Wed, Dec 10, 2014 at 10:22 AM, Dror Atariah <dro...@gmail.com> wrote:
>>
>>> Assume that I want to be able to flag documents in an index according to
>>> their attributes: isFoo and isBar [1]. As far as I understand, there are
>>> two approaches:
>>>
>>> 1) Use dedicated fields for the flags: If the document is a Foo then add
>>> a field named isFoo. Similarly, for isBar.
>>> 2) Use a flags field that will be an array of strings. In this case, if
>>> the document is Foo then "flags" will contain the string "isFoo".
>>>
>>> What are the pros and cons in terms of space and runtime complexities?
>>>
>>> Bear in mind the following queries examples: Consider the case where one
>>> wants to check the attributes of the documents in the index. In particular,
>>> if I want to find the documents that are either Foo *or* Bar I can either
>>> (a) In case (1): Use a Boolean "should" filter the surrounds two
>>> "exists"'s filters checking whether either isFoo or isBar exist.
>>> (b) In case (2): Use a single "exists" filter that checks the existence
>>> of the field "flags".
>>>
>>> A different case, is if I want to find the documents that are both Foo
>>> *and* Bar:
>>> (a) In case (1): Like before, replace the "should" with a "must".
>>> (b) In case (2): Surround two "term"s filters with a "must" Boolean one.
>>>
>>> Lastly, finding the documents that are Foo but *not* Bar.
>>>
>>> In the bottom line, In case (1) all queries boil down to mixture of
>>> Boolean, exists and missing filters. In case (2), one has to process the
>>> strings in the array of strings named "flags". My intuition is that it is
>>> faster to use method (1). In terms of space complexity I believe there is
>>> no difference.
>>>
>>> I'm looking forward to your insights!
>>> Dror
>>>
>>> [1]: Obviously, there could be way more flags...
>>>
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