我正在为 App Engine 数据存储寻找一个替代库，它将执行 nearest-n 或盒装地理查询，目前我使用的是 GeoModel 0.2，它运行得非常慢(在某些情况下 > 1.5s)。有人有什么建议吗？
谢谢!
最佳答案
我对地理模型有同样的问题。 为了更正它，我使用了 4 的分辨率，并使用了 python 排序和过滤。
SEARCHED_LOCATION = db.GeoPt("48.8566667, 2.3509871") # Location of Paris.
DISTANCE = 50000 #Between 10000 and 150000.
MAX_RESULTS = 300
# Resolution '4' is about 150 kilometers i suppose it's a good compromise.
bbox = geocell.compute_box(geocell.compute(SEARCHED_LOCATION, resolution=4))
cell = geocell.best_bbox_search_cells(bbox, geomodel.default_cost_function)
query.filter('location_geocells IN', cell)
# Python filters
def _func(x):
"""Private method used to set the distance of the model to the searched location
and return this distance.
"""
x.dist = geomath.distance(SEARCHED_LOCATION, x.location)
return x.dist
results = sorted(query.fetch(MAX_RESULTS), key=_func) # Order the result by distance
results = [x for x in results if x.dist <= DISTANCE] # Filter the result
关于Python GeoModel 替代方案，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/3993862/