我有以下索引模板
{
"index_patterns": "notificationtiles*",
"order": 1,
"version": 1,
"aliases": {
"notificationtiles": {}
},
"settings": {
"number_of_shards": 5,
"analysis": {
"normalizer": {
"lowercase_normalizer": {
"type": "custom",
"char_filter": [],
"filter": [
"lowercase"
]
}
}
}
},
"mappings": {
"dynamic": "false",
"properties": {
"id": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"influencerId": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"friendId": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"message": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"type": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"sponsorshipCharityId": {
"type": "keyword",
"normalizer": "lowercase_normalizer"
},
"createdTimestampEpochInMilliseconds": {
"type": "date",
"format": "epoch_millis",
"index": false
},
"updatedTimestampEpochInMilliseconds": {
"type": "date",
"format": "epoch_millis",
"index": false
},
"createdDate": {
"type": "date"
},
"updatedDate": {
"type": "date"
}
}
}
}
{
"query": {
"bool": {
"must": [
{
"match": {
"influencerId": "52407710-f7be-49c1-bc15-6d52363144a6"
}
},
{
"match": {
"type": "friend_completed_sponsorship"
}
}
]
}
},
"size": 0,
"aggs": {
"friendId": {
"terms": {
"field": "friendId",
"size": 2
},
"aggs": {
"latest": {
"top_hits": {
"sort": [
{
"createdDate": {
"order": "desc"
}
}
],
"_source": {
"includes": [
"sponsorshipCharityId",
"message",
"createdDate"
]
},
"size": 1
}
}
}
}
}
}
{
"took": 72,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 12,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"friendId": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 7,
"buckets": [
{
"key": "cf750fd8-998f-4dcd-9c88-56b2b6d6fce9",
"doc_count": 3,
"latest": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "notificationtiles-1",
"_type": "_doc",
"_id": "416a8e07-fd72-46d4-ade1-b9442ef46978",
"_score": null,
"_source": {
"createdDate": "2020-06-24T17:35:17.816842Z",
"sponsorshipCharityId": "336de13c-f522-4796-9218-f373ff0b4373",
"message": "Contact Test 788826 Completed Sponsorship!"
},
"sort": [
1593020117816
]
}
]
}
}
},
{
"key": "93ab55c5-795f-44b0-900c-912e3e186da0",
"doc_count": 2,
"latest": {
"hits": {
"total": {
"value": 2,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "notificationtiles-1",
"_type": "_doc",
"_id": "66913b8f-94fe-49fd-9483-f332329b80dd",
"_score": null,
"_source": {
"createdDate": "2020-06-24T17:57:17.816842Z",
"sponsorshipCharityId": "dbad136c-5002-4470-b85d-e5ba1eff515b",
"message": "Contact Test 788826 Completed Sponsorship!"
},
"sort": [
1593021437816
]
}
]
}
}
}
]
}
}
}
{
"_index": "notificationtiles-1",
"_type": "_doc",
"_id": "68a2a0a8-27aa-4347-8751-d7afccfa797d",
"_score": 1.0,
"_source": {
"id": "68a2a0a8-27aa-4347-8751-d7afccfa797d",
"influencerId": "52407710-f7be-49c1-bc15-6d52363144a6",
"friendId": "af342805-1990-4794-9d67-3bb2dd1e36dc",
"message": "Contact Test 788826 Completed Sponsorship!",
"type": "friend_completed_sponsorship",
"sponsorshipCharityId": "b2db72e6-a70e-414a-bf8b-558e6314e7ec",
"createdDate": "2020-06-25T17:35:17.816842Z",
"updatedDate": "2020-06-25T17:35:17.816876Z",
"createdTimestampEpochInMilliseconds": 1593021437817,
"updatedTimestampEpochInMilliseconds": 1593021437817
}
}
本质上，在聚合发生之前，我想按createdDate desc对索引进行排序。我不想由createdDate生成父聚合，因为那样不会导致唯一的friendId。如何实现？
最佳答案
看来您需要设置条款汇总的order属性。默认情况下，它们按命中数排序。您希望它们按最大createdDate排序。因此，您应该添加一个子聚合来计算最大的createdDate，然后可以使用该聚合的ID来对父项聚合进行排序。
关于elasticsearch - 无论如何，在聚合之前是否要对索引进行排序，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/62598468/