Efficient exploration ｜ an application practice of ES geographical location query

Recently participated in a development requirements review , To realize a function of querying data according to longitude, latitude and distance .

At first, I heard that it was necessary to do this , There's no clue .

Just when I want to implement the method , An architecture boss confidently said that it can be achieved through the high moral map , However, the range of the query is not a circle , It's a rectangle .emmm... The product gritted its teeth and agreed .

After the requirements review , Manage the background and web According to this direction , Floating in the sea of the Internet , Finally, find an implementation method . Copy 、 debugging 、 Release , After a fierce operation , The function is tested .

No accident , When it comes to testing , porous . Later, I found , When a person's latitude and longitude , Locate other cities , Then query the data of a certain distance range , Difference between 50-100 km , The result page actually has data .

Can't , Can only be re implemented ...

Later, a colleague said es It has the function of querying according to longitude and latitude , I'll look for it on the Internet api, It turned out that . After deployment with the O & M colleagues again and again 、 After joint commissioning , Function realized . The following is the process of configuration :

1.es edition :

2. Database version :

3. Database configuration sql:

4. Key conversion configurations :

5. Data output to es:

6. Mapping template configuration :

7.kibnan Inquire about :

thus , Function realization , A transmitted longitude and latitude is a dot ,200KM All the data within will be found out

notes : longitude: longitude coordinate: dimension