Could not find routable point within a radius of 3500.0 meters of specified coordinate

Hi , I am getting below error :

{"error":{"code":2010,"message":"Could not find routable point within a radius of 3500.0 meters of specified coordinate 0: 70.7722590 22.2864850."},"info":{"engine":{"version":"6.6.1","build_date":"2021-09-29T13:20:17Z"},"timestamp":1632922481634}}

I tried all the possible solutions from tweaking the maximum radius to -1 also which gives below result :

{"error":{"code":2099,"message":null},"info":{"engine":{"version":"6.6.1","build_date":"2021-09-29T13:37:46Z"},"timestamp":1632922775029}}

I have build images using india-latest.osm.pbf file. Tree output is too long so I am not attaching it , kindly let me know if it is required.
Thanks in advance

Hi @shaktiraj_jadeja,

please always post a request-response pair.

Do you find a route with {"coordinates":[[8.681495,49.41461],[8.686507,49.41943],[8.687872,49.420318]]} ?

If yes, then you are still running on the default heidelberg dataset.

From the docs:

If you changed the OSM file after the first container start, don’t forget to use BUILD_GRAPHS=True to force a rebuild of the graph(s) (or delete the ./graphs folder, which is the same thing).

Best regards

Hi Amandus,
Thanks for the quick help , yes I had deleted the builds of graph , the problem was it was taking time to build new graphs. Docker process was successfully completed and docker logs did not show any updates for few hours. When checked the logs again it was changing so I got to know that I have to wait for logs and let the system status get into “Ready” state. Thanks for the help , I am using Indian map which is around 1 GB and took almost 12 hours to get into ready state , I have 32 GB ram and allocated min of 16 GB ram and max of 26 GB of ram while building. Still it took lot of time. I am basically from sysadmin background so was not able to understand the query response in json format. Apologies and I would love to help in future by any means if I can. Thanks once again for building such a wonderful free opensource system of maps.