实际上，我想根据弹性搜索的结果在响应中添加“ is_promoted”字段，如果“ doc_count”为1，则我必须从实际结果中获取属性的ID和“ is_promoted”标志（这您可以在问题上看到）。就像弹性搜索中的后置过滤器。但我想在后置过滤器中添加条件。请查看当前和预期的输出。 以下是弹性查询的当前输出
{
"total_records": 32392,
"fetched_records": 3845,
"result": [
{
"key": "dp3w",
"doc_count": 343,
"centroid": {
"location": {
"lat": 41.919059987131064,
"lon": -87.71653202438385
},
"count": 343
}
},
{
"key": "djvw",
"doc_count": 1,
"centroid": {
"location": {
"lat": 33.49416188221888,
"lon": -82.0443208285174
},
"count": 1
}
},
{
"key": "9qhs",
"doc_count": 1,
"centroid": {
"location": {
"lat": 34.52696419113244,
"lon": -117.29711956000672
},
"count": 1
}
}
]
}
因此，如果“ doc_count”为1，并且预期输出
以下，我想添加字段“ is_promoted” {
"total_records": 32392,
"fetched_records": 3845,
"result": [
{
"key": "dp3w",
"doc_count": 343,
"centroid": {
"location": {
"lat": 41.919059987131064,
"lon": -87.71653202438385
},
"count": 343
}
},
{
"key": "djvw",
"doc_count": 1,
"is_promoted":true,
"centroid": {
"location": {
"lat": 33.49416188221888,
"lon": -82.0443208285174
},
"count": 1
}
},
{
"key": "9qhs",
"doc_count": 1,
"is_promoted":true,
"centroid": {
"location": {
"lat": 34.52696419113244,
"lon": -117.29711956000672
},
"count": 1
}
}
]
}
我为此使用了聚合。
query.bool.minimum_should_match = 1;
aggQuery.zoomedin = {
filter: {
geo_bounding_box: {
location: {
top_left: {
lat: params.geo_bounding_box.location.nw.lat,
lon: params.geo_bounding_box.location.nw.lng
},
bottom_right: {
lat: params.geo_bounding_box.location.se.lat,
lon: params.geo_bounding_box.location.se.lng
}
}
}
},
aggregations: {
result: {
geohash_grid: {
field: "location",
precision: zoomLevel
},
"aggs": {
"centroid": {
"geo_centroid": { "field": "location" }
}
}
}
}
下面是我的弹性搜索中的记录结构。希望它能帮助您了解Senario
"hits": {
"total": 7967,
"max_score": 1,
"hits": [
{
"_index": "biproxi-test",
"_type": "listings",
"_id": "5126",
"_score": 1,
"_source": {
"address_line1": "Brandon Town Center Drive",
"address_line2": "USA",
"building_class": null,
"building_type": null,
"built_year": null,
"cap_rate": null,
"category": 1,
"city": "Brandon",
"country": "United States",
"county": "Hillsborough",
"floor_location": null,
"inplace_occupancy": null,
"land_size": 3,
"lease_type_id": null,
"lease_type": null,
"listing_group": "Retail",
"listing_type": [
1
],
"location": {
"lat": 27.937159,
"lon": -82.327498
},
"no_of_units": null,
"postal_code": "33511",
"price": 2185000,
"renovated_year": null,
"square_feet": null,
"state": "Florida",
"state_code": "FL",
"title": "3+- Acres at Brandon Town Center",
"status": 2,
"listing_image": "https://biproxi.s3.amazonaws.com/image/listing/5126/caf39154-fb42-483f-9320-9e9c394be66b.jpg",
"seller_id": "113157245308689129523",
"is_promoted": false
}
}, {
"_index": "biproxi-test",
"_type": "listings",
"_id": "5213",
"_score": 1,
"_source": {
"address_line1": "1909 N. Columbia Street",
"address_line2": "USA",
"building_class": null,
"building_type": null,
"built_year": "1996",
"cap_rate": null,
"category": 2,
"city": "Milledgeville",
"country": "United States",
"county": "Baldwin",
"floor_location": null,
"inplace_occupancy": null,
"land_size": null,
"lease_type_id": null,
"lease_type": null,
"listing_group": "Retail",
"listing_type": [
1
],
"location": {
"lat": 33.1086,
"lon": -83.25388
},
"no_of_units": null,
"postal_code": "31061",
"price": null,
"renovated_year": null,
"square_feet": null,
"state": "Georgia",
"state_code": "GA",
"title": "Milledge Village - 1 Space Remaining",
"status": 2,
"listing_image": "https://biproxi.s3.amazonaws.com/image/listing/5213/33d1cd5b-11a1-427d-8948-2e2db3d8e7f2.jpg",
"seller_id": "113157245308689129523",
"is_promoted": false
}
}
}]}
答案 0 :(得分：0)
好的，因此，根据OP下直接注释中的讨论，我了解到，您只想向ES响应的is_promoted数组中的某些对象添加result字段，在一定条件下。
您需要做的非常简单：遍历result数组，检查每个对象的条件并添加属性。
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
我在+前面添加obj.doc_count符号，以确保将其解析为int，从而进行适当的条件比较。 is_promoted属性被添加为数组键，以确保没有Property does not exist这类的编译或运行时错误，因为我们在对象中创建了一个新属性。
我不知道您为什么使用此聚合功能。您的问题纯粹是与JavaScript有关，与ES或Node.js无关。
P.S。该解决方案基于我正确理解您的问题的事实。否则，请扩展或改善您的OP。