弹性搜索 DSL。在聚合内部构建边界框过滤器
Elasticsearch DSL. Build bounding box filter inside aggregation
我需要使用 geo_bounding_box
构建 geotitle_grid 聚合
这是我的代码:
search_query: DslSearch = DslSearch()
enriched_value = {
"aggregations": {
"AggregationGeotileGridBuckets": {
"geotile_grid": {
"field": "location",
"precision": 8,
"size": 10000
}
}
}
}
bucket_builder = search_query.aggs.bucket(
name='My bucket',
agg_type='filter',
**{
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
}
},
**enriched_value
)
但是在 elasticsearch_dsl 库中构建此查询后,出现错误:
elasticsearch.exceptions.RequestError: RequestError(400, 'parsing_exception', '[geo_bounding_box] malformed query, expected [END_OBJECT] but found [FIELD_NAME]')
这里是查询。这是构建:
{
"query": {
"geo_distance": {
"distance": "497668.76297287986m",
"location": {
"lat": 38.99939107394144,
"lon": -124.2156036484375
}
}
},
"aggs": {
"AggregationGeotileGrid": {
"filter": {
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
},
"aggregations": {
"AggregationGeotileGridBuckets": {
"geotile_grid": {
"field": "location",
"precision": 8,
"size": 10000
}
}
}
}
}
},
"size": 0
}
我如何使用边界框过滤器构建写入聚合查询以及我哪里出错了?
将不胜感激。
您需要链接 AggregationGeotileGrid
和 AggregationGeotileGridBuckets
,所以您应该尝试这种方式:
bucket_builder = search_query.aggs.bucket(
name='AggregationGeotileGrid',
agg_type='filter',
**{
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
}
}
)
.bucket(
name='AggregationGeotileGridBuckets',
agg_type='geotile_grid',
**{
"field": "location",
"precision": 8,
"size": 10000
}
)
我需要使用 geo_bounding_box
构建 geotitle_grid 聚合这是我的代码:
search_query: DslSearch = DslSearch()
enriched_value = {
"aggregations": {
"AggregationGeotileGridBuckets": {
"geotile_grid": {
"field": "location",
"precision": 8,
"size": 10000
}
}
}
}
bucket_builder = search_query.aggs.bucket(
name='My bucket',
agg_type='filter',
**{
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
}
},
**enriched_value
)
但是在 elasticsearch_dsl 库中构建此查询后,出现错误:
elasticsearch.exceptions.RequestError: RequestError(400, 'parsing_exception', '[geo_bounding_box] malformed query, expected [END_OBJECT] but found [FIELD_NAME]')
这里是查询。这是构建:
{
"query": {
"geo_distance": {
"distance": "497668.76297287986m",
"location": {
"lat": 38.99939107394144,
"lon": -124.2156036484375
}
}
},
"aggs": {
"AggregationGeotileGrid": {
"filter": {
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
},
"aggregations": {
"AggregationGeotileGridBuckets": {
"geotile_grid": {
"field": "location",
"precision": 8,
"size": 10000
}
}
}
}
}
},
"size": 0
}
我如何使用边界框过滤器构建写入聚合查询以及我哪里出错了? 将不胜感激。
您需要链接 AggregationGeotileGrid
和 AggregationGeotileGridBuckets
,所以您应该尝试这种方式:
bucket_builder = search_query.aggs.bucket(
name='AggregationGeotileGrid',
agg_type='filter',
**{
"geo_bounding_box": {
"location": {
"top_left": {
"lat": 38.2715027604674,
"lon": -121.925823154605
},
"bottom_right": {
"lat": 37.2876652395326,
"lon": -122.91285484539499
}
}
}
}
)
.bucket(
name='AggregationGeotileGridBuckets',
agg_type='geotile_grid',
**{
"field": "location",
"precision": 8,
"size": 10000
}
)