我正在使用elasticsearch来搜索网站上的搜索功能。搜索必须提供距离某个位置的距离搜索 - 例如 - 半径25公里。
这没问题，我正在使用以下elasticsearch查询数组：
编辑3 ：使用function_score
更新了查询{
"index": "kasd9i9021profiles",
"type": "profile",
"size": 30,
"from": 0,
"body": {
"query": {
"function_score": {
"functions": [
{
"linear": {
"location": {
"origin": "49.449919468911,11.073560787681",
"offset": "2km",
"scale": "1km"
}
}
}
],
"score_mode": "avg",
"boost_mode": "replace",
"query": {
"bool": {
"must": [
{
"term": {
"published": "1"
}
},
{
"match": {
"country": "DE"
}
}
],
"filter": {
"geo_distance": {
"distance": "25km",
"distance_type": "arc",
"_cache": true,
"location": {
"lat": 49.449919468911,
"lon": 11.073560787681
},
"unit": "km"
}
}
}
}
}
},
"aggs": {
"rings": {
"geo_distance": {
"field": "location",
"origin": "49.449919468911,11.073560787681",
"distance_type": "arc",
"unit": "km",
"ranges": [
{
"to": 25
}
]
}
}
},
"script_fields": {
"distance": {
"lang": "groovy",
"params": {
"lat": 49.449919468911,
"lon": 11.073560787681
},
"script": "doc['location'].distanceInKm(lat,lon)"
}
},
"sort": [
{
"upgrade_sort": {
"order": "desc"
}
},
{
"has_siegel": {
"order": "desc"
}
},
{
"_geo_distance": {
"location": {
"lat": 49.449919468911,
"lon": 11.073560787681
},
"order": "desc",
"unit": "km"
}
}
]
},
"fields": [
"_source",
"distance"
]
}
“upgrade_sort”的值可以在0到3之间。 “has_siegel”的值可以是true或false。
问题是：
这是错误还是错误的查询？
编辑1
映射：
$params = [
'index' => $name,
'body' => [
'mappings' => [
'profile' => [
'properties' => [
'name' => [
'type' => 'string',
],
'logo_url' => [
'type' => 'string',
],
'foto_url' => [
'type' => 'string',
],
'info_text' => [
'type' => 'string',
],
'cPerson' => [
'type' => 'string',
],
'street' => [
'type' => 'string',
],
'city' => [
'type' => 'string',
],
'country' => [
'type' => 'string',
],
'website' => [
'type' => 'string',
],
'location' => [
'type' => 'geo_point'
],
'upgrade_sort' => [
'type' => 'integer'
],
]
]
]
]
];
结果：出于隐私原因，我无法公布完整结果。这是距离细节：
编辑2
协调addet
distance: 9,82km
has_siegel: 0
upgrade_sort: 3
lon: 10.988270100000022
lat: 49.4724229
distance: 10,87km
has_siegel: 0
upgrade_sort: 2
lon: 10.980907500000058
lat: 49.4808363
distance: 15,71km
has_siegel: 0
upgrade_sort: 1
lon: 11.017770000000041
lat: 49.5795
distance: 0,15km
has_siegel: 0
upgrade_sort: 0
lon: 11.072768300000007
lat: 49.4488594
distance: 0,32km
has_siegel: 0
upgrade_sort: 0
lon: 11.07072740000001
lat: 49.44968069999999
distance: 0,32km
has_siegel: 0
upgrade_sort: 0
lon: 11.07072740000001
lat: 49.44968069999999
distance: 0,47km
has_siegel: 0
upgrade_sort: 0
lon: 11.077651400000036
lat: 49.4487752
distance: 0,60km
has_siegel: 0
upgrade_sort: 0
lon: 11.078965499999981
lat: 49.4501188
distance: 0,61km
has_siegel: 0
upgrade_sort: 0
lon: 11.078960000000052
lat: 49.45074
distance: 0,56km
has_siegel: 0
upgrade_sort: 0
lon: 11.076950099999976
lat: 49.4536002
distance: 0,83km
has_siegel: 0
upgrade_sort: 0
lon: 11.080846599999973
lat: 49.4483038
distance: 0,70km
has_siegel: 0
upgrade_sort: 0
lon: 11.07790239999997
lat: 49.45442389999999
distance: 0,70km
has_siegel: 0
upgrade_sort: 0
lon: 11.07790239999997
lat: 49.45442389999999
distance: 0,94km
has_siegel: 0
upgrade_sort: 0
lon: 11.065464399999996
lat: 49.4475953
distance: 0,72km
has_siegel: 0
upgrade_sort: 0
lon: 11.075771300000042
lat: 49.4560251
distance: 1,14km
has_siegel: 0
upgrade_sort: 0
lon: 11.066973200000007
lat: 49.4578074
distance: 1,40km
has_siegel: 0
upgrade_sort: 0
lon: 11.084297399999969
lat: 49.4563874
distance: 1,23km
has_siegel: 0
upgrade_sort: 0
lon: 11.077985799999965
lat: 49.4397852
distance: 1,41km
has_siegel: 0
upgrade_sort: 0
lon: 11.081709400000022
lat: 49.440276
distance: 1,51km
has_siegel: 0
upgrade_sort: 0
lon: 11.067300100000011
lat: 49.4619894
distance: 2,48km
has_siegel: 0
upgrade_sort: 0
lon: 11.092409999999973
lat: 49.4618
distance: 3,65km
has_siegel: 0
upgrade_sort: 0
lon: 11.104663200000005
lat: 49.4602779
distance: 3,74km
has_siegel: 0
upgrade_sort: 0
lon: 11.100480000000061
lat: 49.47002
distance: 4,12km
has_siegel: 0
upgrade_sort: 0
lon: 11.043360000000007
lat: 49.42859
distance: 4,16km
has_siegel: 0
upgrade_sort: 0
lon: 11.100729999999999
lat: 49.47564
distance: 5,61km
has_siegel: 0
upgrade_sort: 0
lon: 11.032510600000023
lat: 49.4207607
distance: 5,41km
has_siegel: 0
upgrade_sort: 0
lon: 11.093795699999987
lat: 49.4057095
distance: 6,60km
has_siegel: 0
upgrade_sort: 0
lon: 11.033873800000038
lat: 49.4058283
distance: 7,51km
has_siegel: 0
upgrade_sort: 0
lon: 11.016179100000045
lat: 49.4143705
distance: 7,49km
has_siegel: 0
upgrade_sort: 0
lon: 11.130335599999967
lat: 49.41382410000001
答案 0 :(得分：0)
您的过滤器仅排除不在25公里半径范围内的结果。如果要按距离对结果进行排序，则必须使用function score query with a decay function。
对于距离，如果您希望它更准确，如文档中所述，您应该使用the arc distance_type。
答案 1 :(得分：0)
我刚刚得到了解决方案：将doc['location'].distanceInKm(lat,lon)转为doc['location'].arcDistanceInKm(lat,lon)
在文档中不容易找到，但elasticsearch的开发者会更新它：https://github.com/elastic/elasticsearch/issues/15616