我们使用AWS托管的Elasticsearch服务,最近从1.5升级到2.3。我们在python中使用elasticsearch-dsl包来构建我们的查询并设法迁移我们的大多数查询,但无论我尝试什么,geo_distance都会被破坏。
映射:
{
'company': {
'properties': {
'id': {'type': 'integer'},
'company_number': {'type': 'string'},
'addresses': {
'type': 'nested',
'properties': {
'postcode': {'type': 'string', 'index': 'not_analyzed'},
'location': {'type': 'geo_point'}
}
}
}
}
}
使用elasticsearch-dsl == 0.0.11
的Python代码 test_location = '53.5411062377, -2.11485504709'
test_distance = "3miles"
location_filter = F("geo_distance",
location=test_location,
distance=test_distance)
query = query.filter("nested",
path="addresses",
filter=location_filter)
库生成的查询:
{'query': {'filtered': {'filter': {'nested': {'filter': {'geo_distance': {'distance': u'3miles', 'location': '53.5411062377, -2.11485504709'}}, 'path': 'addresses'}}, 'query': {'match_all': {}}}}}
我们使用相同的映射在新的2.3上创建了一个全新的索引。
更新为elasticsearch-dsl == 2.1.0并尝试将过滤器转换为查询后:
geo_query = Q({"bool": {
"must": [
{
"geo_distance": {
"distance": "test_distance",
"addresses__location": test_location,
}
},
]
}})
生成以下查询:
{'query': {'bool': {'must': [{'geo_distance': {'distance': '3 miles', u'addresses.location': {'lat': '53.5411062377', 'lon': '-2.11485504709'}}}]}}}
我们得到以下例外:
RequestError: TransportError(400, u'search_phase_execution_exception', u'failed to find geo_point field [addresses.location]')
我尝试将该字段引用为' location' ,' addresses.location','地址'并使用旧的嵌套查询类型。我无法弄清楚2.3中的映射是否不再有效,或者我是否构造错误的查询。
查询
Q({'nested': {'filter': {
'geo_distance': {'distance': u'3miles', 'location': '53.5411062377, -2.11485504709'}
},
'path': 'addresses.location'}})
生成以下错误:
RequestError: TransportError(400, u'search_phase_execution_exception', u'[nested] nested object under path [addresses.location] is not of nested type')
我想我需要将lat_lon:True添加到地理距离查询的映射中才能工作,但没有一个示例有它。
非常感谢任何帮助,谢谢!
答案 0 :(得分:1)
这应该有效:
test_location = '53.5411062377, -2.11485504709'
test_distance = "3miles"
location_query = Q("geo_distance",
addresses__location=test_location,
distance=test_distance)
query = query.filter("nested",
path="addresses",
query=location_query)