Indexed documents are like:
{
  id: 1, 
  title: 'Blah',
  ...
  platform: {id: 84, url: 'http://facebook.com', title: 'Facebook'}
  ...
}
What I want is count and output stats-by-platform.
For counting, I can use terms aggregation with platform.id as a field to count:
aggs: {
  platforms: {
    terms: {field: 'platform.id'}
  }
}
This way I receive stats as a multiple buckets looking like {key: 8, doc_count: 162511}, as expected.
Now, can I somehow add to those buckets also platform.name and platform.url (for pretty output of stats)? The best I've came with looks like:
aggs: {
  platforms: {
    terms: {field: 'platform.id'},
    aggs: {
      name: {terms: {field: 'platform.name'}},
      url: {terms: {field: 'platform.url'}}
    }
  }
}
Which, in fact, works, and returns pretty complicated structure in each bucket:
{key: 7,
  doc_count: 528568,
  url:
   {doc_count_error_upper_bound: 0,
    sum_other_doc_count: 0,
    buckets: [{key: "http://facebook.com", doc_count: 528568}]},
  name:
   {doc_count_error_upper_bound: 0,
    sum_other_doc_count: 0,
    buckets: [{key: "Facebook", doc_count: 528568}]}},
Of course, name and url of platform could be extracted from this structure (like bucket.url.buckets.first.key), but is there more clean and simple way to do the task?