How to add post fields on the basis of result of elastic search
Actually i want to add "is_promoted" field in the response according to the result of elastic search if the "doc_count" is 1 then i have to fetch the id of the property and "is_promoted" flag from the actual result(Which you can see at the question).Its like a post filter in the elastic search. but i want add condition in the post filter. please see the current and expected output.
And below is the current output of the elastic query
{
"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
}
}
]
}
So i want to add field "is_promoted" if the "doc_count" is 1 and below is the expected output
{
"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
}
}
]
}
I used aggregation for that.
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" }
}
}
}
}
Below is the record structure in my elastic search. I hope it will help you to understand the 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
}
}
}]}
javascript node.js reactjs
elasticsearch asked 2 days ago
Varun verma
3617
add a comment |
Actually i want to add "is_promoted" field in the response according to the result of elastic search if the "doc_count" is 1 then i have to fetch the id of the property and "is_promoted" flag from the actual result(Which you can see at the question).Its like a post filter in the elastic search. but i want add condition in the post filter. please see the current and expected output.
And below is the current output of the elastic query
{
"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
}
}
]
}
So i want to add field "is_promoted" if the "doc_count" is 1 and below is the expected output
{
"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
}
}
]
}
I used aggregation for that.
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" }
}
}
}
}
Below is the record structure in my elastic search. I hope it will help you to understand the 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
}
}
}]}
javascript node.js reactjs
elasticsearch asked 2 days ago
Varun verma
3617
1
What exactly are you trying to achieve? Are you simply trying to add theis_promotedfield to the objects in theresultarray depending on a condition or are you trying to do something in Elasticsearch?
– Milkncookiez
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago
add a comment |
Actually i want to add "is_promoted" field in the response according to the result of elastic search if the "doc_count" is 1 then i have to fetch the id of the property and "is_promoted" flag from the actual result(Which you can see at the question).Its like a post filter in the elastic search. but i want add condition in the post filter. please see the current and expected output.
And below is the current output of the elastic query
{
"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
}
}
]
}
So i want to add field "is_promoted" if the "doc_count" is 1 and below is the expected output
{
"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
}
}
]
}
I used aggregation for that.
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" }
}
}
}
}
Below is the record structure in my elastic search. I hope it will help you to understand the 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
}
}
}]}
javascript node.js reactjs
elasticsearch asked 2 days ago
Varun verma
3617
Actually i want to add "is_promoted" field in the response according to the result of elastic search if the "doc_count" is 1 then i have to fetch the id of the property and "is_promoted" flag from the actual result(Which you can see at the question).Its like a post filter in the elastic search. but i want add condition in the post filter. please see the current and expected output.
And below is the current output of the elastic query
{
"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
}
}
]
}
So i want to add field "is_promoted" if the "doc_count" is 1 and below is the expected output
{
"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
}
}
]
}
I used aggregation for that.
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" }
}
}
}
}
Below is the record structure in my elastic search. I hope it will help you to understand the 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
}
}
}]}
javascript node.js reactjs
elasticsearch javascript node.js reactjs
elasticsearch asked 2 days ago
Varun verma
3617
asked 2 days ago
Varun verma
3617
edited 2 days ago
asked 2 days ago
Varun verma
3617
asked 2 days ago
Varun verma
3617
asked 2 days ago
Varun verma
3617
3617
1
What exactly are you trying to achieve? Are you simply trying to add theis_promotedfield to the objects in theresultarray depending on a condition or are you trying to do something in Elasticsearch?
– Milkncookiez
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago
add a comment |
1
What exactly are you trying to achieve? Are you simply trying to add theis_promotedfield to the objects in theresultarray depending on a condition or are you trying to do something in Elasticsearch?
– Milkncookiez
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago
1
1
What exactly are you trying to achieve? Are you simply trying to add the
is_promoted field to the objects in the result array depending on a condition or are you trying to do something in Elasticsearch?– Milkncookiez
2 days ago
What exactly are you trying to achieve? Are you simply trying to add the
is_promoted field to the objects in the result array depending on a condition or are you trying to do something in Elasticsearch?– Milkncookiez
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago
add a comment |
1 Answer
1
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Okay, so, from the discussion in the direct comments under your OP I understand that you only want to add is_promoted field to some of the objects in the result array of the ES response, according to a certain condition.
What you need to do is very simple: loop through the result array, check the condition for each object and add the property.
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
I add the + sign in front of the obj.doc_count to ensure it's parsed to int and thus conducting a proper conditional comparison. The is_promoted property is added as an array key to ensure there are no compile or runtime errors of the sort of Property does not exist, since we create a new property in the object.
I don't know why do you use this aggregation functionality. You problem is purely JavaScript related and has nothing to do with ES or Node.js in particular.
P.S. This solution is based on the fact I understand your question correctly. Otherwise, please extend or improve your OP.
answered 2 days ago
Milkncookiez
2,15973157
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Okay, so, from the discussion in the direct comments under your OP I understand that you only want to add is_promoted field to some of the objects in the result array of the ES response, according to a certain condition.
What you need to do is very simple: loop through the result array, check the condition for each object and add the property.
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
I add the + sign in front of the obj.doc_count to ensure it's parsed to int and thus conducting a proper conditional comparison. The is_promoted property is added as an array key to ensure there are no compile or runtime errors of the sort of Property does not exist, since we create a new property in the object.
I don't know why do you use this aggregation functionality. You problem is purely JavaScript related and has nothing to do with ES or Node.js in particular.
P.S. This solution is based on the fact I understand your question correctly. Otherwise, please extend or improve your OP.
answered 2 days ago
Milkncookiez
2,15973157
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
add a comment |
Okay, so, from the discussion in the direct comments under your OP I understand that you only want to add is_promoted field to some of the objects in the result array of the ES response, according to a certain condition.
What you need to do is very simple: loop through the result array, check the condition for each object and add the property.
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
I add the + sign in front of the obj.doc_count to ensure it's parsed to int and thus conducting a proper conditional comparison. The is_promoted property is added as an array key to ensure there are no compile or runtime errors of the sort of Property does not exist, since we create a new property in the object.
I don't know why do you use this aggregation functionality. You problem is purely JavaScript related and has nothing to do with ES or Node.js in particular.
P.S. This solution is based on the fact I understand your question correctly. Otherwise, please extend or improve your OP.
answered 2 days ago
Milkncookiez
2,15973157
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
add a comment |
Okay, so, from the discussion in the direct comments under your OP I understand that you only want to add is_promoted field to some of the objects in the result array of the ES response, according to a certain condition.
What you need to do is very simple: loop through the result array, check the condition for each object and add the property.
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
I add the + sign in front of the obj.doc_count to ensure it's parsed to int and thus conducting a proper conditional comparison. The is_promoted property is added as an array key to ensure there are no compile or runtime errors of the sort of Property does not exist, since we create a new property in the object.
I don't know why do you use this aggregation functionality. You problem is purely JavaScript related and has nothing to do with ES or Node.js in particular.
P.S. This solution is based on the fact I understand your question correctly. Otherwise, please extend or improve your OP.
answered 2 days ago
Milkncookiez
2,15973157
Okay, so, from the discussion in the direct comments under your OP I understand that you only want to add is_promoted field to some of the objects in the result array of the ES response, according to a certain condition.
What you need to do is very simple: loop through the result array, check the condition for each object and add the property.
for (const obj of elasticSearchResult.result) {
if (+obj.doc_count <= 1) {
obj['is_promoted'] = true;
}
}
I add the + sign in front of the obj.doc_count to ensure it's parsed to int and thus conducting a proper conditional comparison. The is_promoted property is added as an array key to ensure there are no compile or runtime errors of the sort of Property does not exist, since we create a new property in the object.
I don't know why do you use this aggregation functionality. You problem is purely JavaScript related and has nothing to do with ES or Node.js in particular.
P.S. This solution is based on the fact I understand your question correctly. Otherwise, please extend or improve your OP.
answered 2 days ago
Milkncookiez
2,15973157
answered 2 days ago
Milkncookiez
2,15973157
answered 2 days ago
Milkncookiez
2,15973157
answered 2 days ago
Milkncookiez
2,15973157
2,15973157
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
add a comment |
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
sorry . i just updated the question again. The situation is i have to add the "is_promoted" field if the aggregation response if the "doc_count" is 1. and that is_promoted flag comes from the actual result of the ES(Which you can see in the last part of my question where i posted actual json).
– Varun verma
2 days ago
add a comment |
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1
What exactly are you trying to achieve? Are you simply trying to add the
is_promotedfield to the objects in theresultarray depending on a condition or are you trying to do something in Elasticsearch?– Milkncookiez
2 days ago
please mention clearly what is the issue you are facing
– varnit
2 days ago
I have just edit my question i hope this will help you guys to understand the problem
– Varun verma
2 days ago
@Milkncookiez Yes i want to add "is_promoted" field in the response according to the document_count in the cluster object
– Varun verma
2 days ago