Elasticsearch: Aggregation of null fields in a facet bucket - json

Question

I'm trying to implement facets with a date range aggregation in the current version of Amazon Elasticsearch Service (version 7.10). The key for what I want the article documents to group for, is publishedAt, what is a date. I want one bucket, where publishedAt is in the past, which means, it is published, one where it is in the future, which means scheduled and one for all articles without a publishedAt, which are drafts. published and scheduled are working as they should. For drafts I can't enter a filter or date range as they are null. So I want to make use of the "Missing Values" feature. This should treat the documents with publishedAt = null like to have the date given in the missing field. Unfortunately it has no effect on the results. Even if I change the date of missing to let it match with published or scheduled.
My request:
GET https://es.amazonaws.com/articles/_search
{
"size": 10,
"aggs": {
"facet_bucket_all": {
"aggs": {
"channel": {
"terms": {
"field": "channel.keyword",
"size": 5
}
},
"brand": {
"terms": {
"field": "brand.keyword",
"size": 5
}
},
"articleStatus": {
"date_range": {
"field": "publishedAt",
"format": "dd-MM-yyyy",
"missing": "01-07-1886",
"ranges": [
{ "key": "published", "from": "now-99y/M", "to": "now/M" },
{ "key": "scheduled", "from": "now+1s/M", "to": "now+99y/M" },
{ "key": "drafts", "from": "01-01-1886", "to": "31-12-1886" }
]
}
}
},
"filter": {
"bool": {
"must": []
}
}
},
"facet_bucket_publishedAt": {
"aggs": {},
"filter": {
"bool": {
"must": []
}
}
},
"facet_bucket_author": {
"aggs": {
"author": {
"terms": {
"field": "author",
"size": 10
}
}
},
"filter": {
"bool": {
"must": []
}
}
}
},
"query": {
"bool": {
"filter": [
{
"range": {
"publishedAt": {
"lte": "2021-08-09T09:52:19.975Z"
}
}
}
]
}
},
"from": 0,
"sort": [
{
"_score": "desc"
}
]
}
And in the result, the drafts are empty:
"articleStatus": {
"buckets": [
{
"key": "published",
"from": -1.496448E12,
"from_as_string": "01-08-1922",
"to": 1.627776E12,
"to_as_string": "01-08-2021",
"doc_count": 47920
},
{
"key": "scheduled",
"from": 1.627776E12,
"from_as_string": "01-08-2021",
"to": 4.7519136E12,
"to_as_string": "01-08-2120",
"doc_count": 3
},
{
"key": "drafts",
"from": 1.67252256E13,
"from_as_string": "01-01-1886",
"to": 1.67566752E13,
"to_as_string": "31-12-1886",
"doc_count": 0
}
]
}

Answer 1

SearchKit added this part to the query:
"query": {
"bool": {
"filter": [
{
"range": {
"publishedAt": {
"lte": "2021-08-09T09:52:19.975Z"
}
}
}
]
}
}
This had to be removed, because it filters out null values, before the missing filter makes its job.
Now I get the correct result:
"articleStatus": {
"buckets": [
{
"key": "drafts",
"from": -2.650752E12,
"from_as_string": "01-01-1886",
"to": -2.6193024E12,
"to_as_string": "31-12-1886",
"doc_count": 7
},
{
"key": "published",
"from": -1.496448E12,
"from_as_string": "01-08-1922",
"to": 1.627776E12,
"to_as_string": "01-08-2021",
"doc_count": 47920
},
{
"key": "scheduled",
"from": 1.627776E12,
"from_as_string": "01-08-2021",
"to": 4.7519136E12,
"to_as_string": "01-08-2120",
"doc_count": 3
}
]
}