Nils,
This is just the nature of splitting data around in shards. Actually the
terms facet has the same limitations (i.e. it will also give "approximate
counts"). Neither the terms facet nor the terms aggregation is better or
worse than the other - they are both approximations (using different
implementations). It is correct that if you put all your data in 1 shard,
then all the counts are exact. If you need to shard, you can increase the
"shard_size" parameter inside the terms aggregation to "improve accuracy".
Play with that number until it suits your purposes but the important thing
is they are just approximations the more documents you have in the index -
so just don't expect absolute numbers from them if you have more than 1
shard.
{
"size": 0,
"aggs": {
"a": {
"terms": {
"field": "actor.displayName",
"shard_size": 10000
}
}
}
}
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