Suggestion requests, including the completion suggester, operate on
specific field names.

So extra type-specific field names can be used to store the suggestion data.

Then, to get suggestions for a particular type you'd query the corresponding
type-specific field name.

Tim.

On Wed, Dec 25, 2013 at 01:28:50AM +0100, Alexander Reelsen wrote:
>    Hey,
>    the way the completion suggester is implemented, it does not support 
> filtering by types (neither does
>    the suggest plugin) - so this makes a pretty clear decision process for 
> your use-case. The reason for
>    this, is the different approach how suggest data is stored and queried - 
> in a nutshell, the suggest data
>    structure simply takes the whole index data and uses it for suggestions. 
> The type itself is simply
>    spoken just another metadata, which cannot be filtered out.
>    I'd go with the completion suggester if possible (as I wrote the suggest 
> plugin I can tell that the
>    completion suggester has a way better design, and, obviously, is part of 
> the core).
>    Hope this helps...
>    --Alex
> 
>    On Tue, Dec 24, 2013 at 4:50 PM, Facundo Olano 
> <[1][email protected]> wrote:
> 
>      Hello, I've started playing around with the completion suggester to 
> implement autocomplete
>      functionality in my application and found it pretty straightforward and 
> simple to use.
>      The problem I have is that I don't want mixed types in my suggestions: 
> if have a "music" index with
>      "song" and "artist" types, I want to have "song" and "artist" 
> autocompletes. From the documentation I
>      get that this doesn't seem to be supported, so I'm considering having a 
> separate index for each type.
>      [2]I've read that this is not the best practice, but from the size of my 
> data I presume I won't be
>      having problems: I have around 10 types, most of them with around 2000 
> documents. It's worth noting
>      that I'm just using elasticsearch for this autocomplete functionality 
> (although I may use it for
>      regular search eventually).
>      So I wanted to check if it makes sense modeling my indices that way or 
> if there's an alternative
>      solution to my problem (for example, using the [3]suggest plugin?)
>      Thanks,
>      Facundo.
> 
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> References
> 
>    Visible links
>    1. mailto:[email protected]
>    2. 
> http://elasticsearch-users.115913.n3.nabble.com/More-indices-vs-more-types-td3999423.html#a4002051
>    3. https://github.com/spinscale/elasticsearch-suggest-plugin
>    4. mailto:elasticsearch%[email protected]
>    5. 
> https://groups.google.com/d/msgid/elasticsearch/65d950a0-0784-46eb-94c3-7689ab858fe2%40googlegroups.com
>    6. https://groups.google.com/groups/opt_out
>    7. 
> https://groups.google.com/d/msgid/elasticsearch/CAGCwEM9E1D57m%2B1d8HM2jfyawo3COuadybgds2LhzoQv3Lw86w%40mail.gmail.com
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