Mixing
Elasticsearch filter by several geo_points with different weights
I have a number of documents that, apart from other fields, have a number of geo_points associated with them. I want to find all documents that are associated with a particular city. To that end, I also have an index of cities, I search it first and get a list of coordinates with the _scores from that search. Now I want to pass that data to the document search and multiply the score of the found documents by the corresponding city score.
Assuming the first query returns a list of tuples like [(city_coords, city_score), (...)], I want to build the query to the document index using the function_score and the functions array with each city as a separate function with its separate score.
However, when I construct the query in its simplest form, it fetches all the documents in my index. Here's what the query I have made:
{
'query': {
'function_score': {
'functions': [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
'weight': city_score
}
]
}
}
}
Am I missing something? How do I get only the documents that are associated with that particular city?
elasticsearch geo
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
add a comment |
I have a number of documents that, apart from other fields, have a number of geo_points associated with them. I want to find all documents that are associated with a particular city. To that end, I also have an index of cities, I search it first and get a list of coordinates with the _scores from that search. Now I want to pass that data to the document search and multiply the score of the found documents by the corresponding city score.
Assuming the first query returns a list of tuples like [(city_coords, city_score), (...)], I want to build the query to the document index using the function_score and the functions array with each city as a separate function with its separate score.
However, when I construct the query in its simplest form, it fetches all the documents in my index. Here's what the query I have made:
{
'query': {
'function_score': {
'functions': [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
'weight': city_score
}
]
}
}
}
Am I missing something? How do I get only the documents that are associated with that particular city?
elasticsearch geo
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
add a comment |
I have a number of documents that, apart from other fields, have a number of geo_points associated with them. I want to find all documents that are associated with a particular city. To that end, I also have an index of cities, I search it first and get a list of coordinates with the _scores from that search. Now I want to pass that data to the document search and multiply the score of the found documents by the corresponding city score.
Assuming the first query returns a list of tuples like [(city_coords, city_score), (...)], I want to build the query to the document index using the function_score and the functions array with each city as a separate function with its separate score.
However, when I construct the query in its simplest form, it fetches all the documents in my index. Here's what the query I have made:
{
'query': {
'function_score': {
'functions': [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
'weight': city_score
}
]
}
}
}
Am I missing something? How do I get only the documents that are associated with that particular city?
elasticsearch geo
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
I have a number of documents that, apart from other fields, have a number of geo_points associated with them. I want to find all documents that are associated with a particular city. To that end, I also have an index of cities, I search it first and get a list of coordinates with the _scores from that search. Now I want to pass that data to the document search and multiply the score of the found documents by the corresponding city score.
Assuming the first query returns a list of tuples like [(city_coords, city_score), (...)], I want to build the query to the document index using the function_score and the functions array with each city as a separate function with its separate score.
However, when I construct the query in its simplest form, it fetches all the documents in my index. Here's what the query I have made:
{
'query': {
'function_score': {
'functions': [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
'weight': city_score
}
]
}
}
}
Am I missing something? How do I get only the documents that are associated with that particular city?
elasticsearch geo
elasticsearch geo
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
asked Jan 1 at 16:02
IbolitIbolit
5,25153663
5,25153663
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Since you don't specify a query in your function_score part, Elastic assume a match_all query. So it returns all documents and add a boost for the documents near the selected queries.
You should add a specific query in your function_score part that will filter out any document that is not near enough of the selected cities. Something like
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords1
}
},
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords2
}
},
... and so on
]
}
},
"functions": [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
"weight": city_score
}
]
}
}
}
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
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
Since you don't specify a query in your function_score part, Elastic assume a match_all query. So it returns all documents and add a boost for the documents near the selected queries.
You should add a specific query in your function_score part that will filter out any document that is not near enough of the selected cities. Something like
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords1
}
},
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords2
}
},
... and so on
]
}
},
"functions": [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
"weight": city_score
}
]
}
}
}
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
add a comment |
Since you don't specify a query in your function_score part, Elastic assume a match_all query. So it returns all documents and add a boost for the documents near the selected queries.
You should add a specific query in your function_score part that will filter out any document that is not near enough of the selected cities. Something like
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords1
}
},
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords2
}
},
... and so on
]
}
},
"functions": [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
"weight": city_score
}
]
}
}
}
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
add a comment |
Since you don't specify a query in your function_score part, Elastic assume a match_all query. So it returns all documents and add a boost for the documents near the selected queries.
You should add a specific query in your function_score part that will filter out any document that is not near enough of the selected cities. Something like
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords1
}
},
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords2
}
},
... and so on
]
}
},
"functions": [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
"weight": city_score
}
]
}
}
}
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
Since you don't specify a query in your function_score part, Elastic assume a match_all query. So it returns all documents and add a boost for the documents near the selected queries.
You should add a specific query in your function_score part that will filter out any document that is not near enough of the selected cities. Something like
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords1
}
},
{
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords2
}
},
... and so on
]
}
},
"functions": [
{
"filter": {
"geo_distance": {
"distance": "1km",
"distance_type": "plane",
"points": city_coords
},
},
"weight": city_score
}
]
}
}
}
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
answered Jan 2 at 10:45
Pierre MalletPierre Mallet
3,4231618
3,4231618
add a comment |
add a comment |
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