No love for JOIN ... USING in this thread eh

    SELECT 
        t.passenger_name, 
        t.ticket_no, 
        bp.seat_no
    FROM Flights f
    JOIN Ticket_flights tf USING (flight_id),
    JOIN Tickets t USING (ticket_no),
    JOIN Boarding_pass bp USING (ticket_no, flight_id)
    WHERE f.arrival_airport = 'OVB';

Never seen this before, always thought it would be tasty sugar though.. thanks for making me aware of it!

`using` works really well, but only when the two column names are the same.

That's why it's not a bad idea to include the table name in the id column name: `flight.flight_id` instead of `flight.id`.

For me, idk why, it feels too "ORACLE-ly". I stopped using Oracle after administering an 9i until ~2010 and I never want to go back

But yes, `USING` is convenient and pleasant to the eyes.

I've never seen USING before, is that available in mssql or just the various open source ones?

It doesn't look like mssql (aka sql server) supports USING.

I haven't used mssql since ~2013 but I think you're right that it's not available there.

Works great in MySQL, PostgreSQL, and SQLite though.

I like this and haven't used it before. Thanks for sharing.

To me placing the join predicates immediately after the tables is more readable as I don’t have to switch between looking at the from and where clauses to figure out the columns on which the tables are joined.

Yep, nothing is harder to read than joins scattered in random order throughout the where clause.

Additionally, putting joins in the where clause breaks the separation of concerns:

FROM: specify tables and their relationships

WHERE: filter rows

SELECT: filter columns

I guess as long as you're giving it some criteria to join on, I had a coworker do these sorts of joins but never specified any real criteria for joining and the queries were always a mess and returned tons of extra junk. Personally I prefer to explicitly do the joins first.

I've usually found that this breaks down when there are a lot of filtering conditions besides the join condition, and multiple columns used in the joins. The WHERE clause gets long and jumbled and it is much easier to separate join conditions from filtering conditions.