我正在尝试按搜索查询 Elasticsearch 中的 top_hits 参数对数据进行排序，但不知何故它没有影响任何内容。谁能帮我解决这个问题吗？
所以我尝试使用排序，就像有些人这样说的：
{
"size" : 0,
"from" : 0,
"aggs": {
"by_filter": {
"filter": {
"bool": {
"must": [
{
"range": {
"published_at": {
"gte": "2019-08-01 00:00:00",
"lte": "2023-10-30 23:59:59"
}
}
},
{
"match": {
"status": "published"
}
}
]
}
},
"aggs": {
"by_created": {
"terms": {
"field": "created_by.id",
"size": 10
},
"aggs" : {
"count_data": {
"terms": {
"field": "created_by.id"
}
},
"hits": {
"top_hits": {
"sort": [ <---- the sort query that I found
{
"created_by.name.keyword": {
"order": "desc"
}
}
],
"_source":["created_by.name"],
"size": 1
}
}
}
}
}
}
}
}
但结果没有改变:
"aggregations": {
"by_filter": {
"doc_count": 21,
"by_created": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 3,
"buckets": [
{
"key": 34,
"doc_count": 3,
"hits": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "re_article",
"_id": "53822",
"_score": null,
"_source": {
"created_by": {
"name": "Edwin"
}
},
"sort": [ <--- I think this is the result of the sort
"Edwin"
]
}
]
}
},
"count_data": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 34,
"doc_count": 3
}
]
}
},
{
"key": 52,
"doc_count": 3,
"hits": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "re_article",
"_id": "338610",
"_score": null,
"_source": {
"created_by": {
"name": "Tito"
}
},
"sort": [
"Tito"
]
}
]
}
},
"count_data": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 52,
"doc_count": 3
}
]
}
}
]
}
}
}
我期望的是，如果可能的话，存储桶首先显示名为“Tito”创建的数据，然后显示“Edwin”，如下所示：
"aggregations": {
"by_filter": {
"doc_count": 21,
"by_created": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 3,
"buckets": [
{
"key": 52,
"doc_count": 3,
"hits": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "re_article",
"_id": "338610",
"_score": null,
"_source": {
"created_by": {
"name": "Tito"
}
}
}
]
}
},
"count_data": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 52,
"doc_count": 3
}
]
}
},
{
"key": 34,
"doc_count": 3,
"hits": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "re_article",
"_id": "53822",
"_score": null,
"_source": {
"created_by": {
"name": "Edwin"
}
}
}
]
}
},
"count_data": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 34,
"doc_count": 3
}
]
}
}
]
}
}
}
我认为我选择了一个错误的例子，因为 top_hits 结果中有新的“排序”字段，但并不是我真正想要的，有人可以帮忙吗？谢谢你
这是我拥有的数据示例：
{
"id": 53822,
"created_at": "2019-09-03 18:17:13",
"published_at": "2019-09-04 01:17:13",
"status": "published",
"created_by": {
"id": 34,
"name": "Edwin",
"role_id": 4,
"is_active": "Y"
},
{
"id": 338610,
"created_at": "2022-10-16 20:48:39",
"published_at": "2022-10-16 21:08:12",
"status": "published",
"created_by": {
"id": 52,
"name": "Tito",
"role_id": 4,
"is_active": "Y"
},
{
"id": 54272,
"created_at": "2019-09-10 08:28:57",
"published_at": "2019-09-10 15:30:03",
"status": "published",
"created_by": {
"id": 34,
"name": "Edwin",
"role_id": 4,
"is_active": "Y"
}
我尝试按字段created_by.id与count_data aggs进行分组，然后按created_by.name对结果进行排序，这就是为什么我包含顶部点击参数，因为我需要显示人名，而不仅仅是人名编号
另外，我需要按created_by.id分组的密钥，而不是按created_by.name分组，即使相同的id总是具有相同的名称
不幸的是，没有好的方法可以做到这一点。有多种方法可以按子聚合的数值对聚合进行排序，但在您的情况下，您需要按字符串值排序。我将按照我的偏好从最差到最好的顺序列出一些可能的解决方法：
Edwin:34Tito:52terms我知道这不是您正在寻找的解决方案，但据我所知，鉴于聚合框架当前的限制，这是我们能做的最好的事情。