connecting_flights | find shortest distance or duration or | Continous Integration library
kandi X-RAY | connecting_flights Summary
kandi X-RAY | connecting_flights Summary
Application to find shortest distance or duration or (fake price) of connecting flights through Floyd-Warshall algorithm.
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QUESTION
I am practicing SQL and I have a table called flights
that has the flight id
, origin
, destination
, and the cost
of the trip. I want to be able to find all the cheapest possible flights that can be done in two or fewer stops, while also displaying how many stops each flight has along with the total cost of the flight. Also, if two trips cost the same, then I want the one with the fewest stops.
Here is the table on db-fiddle: https://www.db-fiddle.com/f/mvvE24KAxnayR9fRmHChMw/1
This is what I have so far and it is not completed since I am missing the number of stops and some flights. I am unsure how to count the number of stops between flights or how to get all flights that are connecting.
I feel like this could be done without a recursive CTE, but I am unsure. I also feel like my query is very messy. Any help would be useful!
Thanks!
Query:
...ANSWER
Answered 2020-Apr-23 at 02:49Since you only consider up to two steps, you can use union all
:
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Install connecting_flights
You can use connecting_flights like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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