I have an aggregation which produces an output like this using a significant terms aggregation:
{
"took": 88,
"timed_out": false,
"num_reduce_phases": 3,
"_shards": {
"total": 1430,
"successful": 1430,
"failed": 0
},
"hits": {
"total": 1071145,
"max_score": 0,
"hits": []
},
"aggregations": {
"cluster": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "group_1",
"doc_count": 223759,
"significant_methstat": {
"doc_count": 223759,
"bg_count": 1054597843,
"buckets": [
{
"key": "type-1",
"doc_count": 51683,
"score": 0.08758472205101155,
"bg_count": 176615496
}
]
}
},
{
"key": "group-2",
"doc_count": 189927,
"significant_methstat": {
"doc_count": 189927,
"bg_count": 1054597843,
"buckets": [
{
"key": "type-2",
"doc_count": 49170,
"score": 0.14131842028473424,
"bg_count": 176615496
}
]
}
},
{
"key": "group-3",
"doc_count": 104259,
"significant_methstat": {
"doc_count": 104259,
"bg_count": 1054597843,
"buckets": [
{
"key": "type-3",
"doc_count": 41541,
"score": 0.1317421370332497,
"bg_count": 315782621
}
]
}
}...
I would like to be able to use the bucket selector aggregation to effectively drop buckets where the score is less than 1. You can do something similar with doc_count, but I can't figure out what syntax I should use to reference the score value of the bucket.
Is it even possible to reference the 'score' of the bucket in a significant terms aggregation?
Thanks in advance.