[英]How to add post fields on the basis of result of elastic search
實際上,我想根據彈性搜索的結果在響應中添加“ is_promoted”字段,如果“ doc_count”為1,則我必須從實際結果中獲取屬性的ID和“ is_promoted”標志(您可以看到就像是彈性搜索中的后置過濾器一樣。 但我想在后置過濾器中添加條件。 請查看當前和預期的輸出。 以下是彈性查詢的當前輸出
{
"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
}
}
]
}
所以我想添加字段“ is_promoted”,如果“ doc_count”為1,並且低於預期輸出
{
"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,
"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
}
}
]
}
我為此使用聚合。
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" }
}
}
}
}
以下是我的彈性搜索中的記錄結構。 希望它能幫助您了解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
}
}
}]}
好的,因此,從OP下直接注釋中的討論中,我了解到,根據特定條件,您只想將is_promoted
字段添加到ES響應的result
數組中的某些對象中。
您需要做的非常簡單:遍歷result
數組,檢查每個對象的條件並添加屬性。
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
我在obj.doc_count
前面添加+
號,以確保將其解析為int
,從而進行適當的條件比較。 將is_promoted
屬性作為數組鍵添加,以確保不存在任何編譯或Property does not exist
is_promoted
Property的運行時錯誤,因為我們在對象中創建了一個新屬性。
我不知道您為什么使用此聚合功能。 您的問題純粹是與JavaScript相關,而與ES或Node.js無關。
PS:此解決方案基於我正確理解您的問題的事實。 否則,請擴展或改善您的OP。
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