Re: Limitting full join to one match

On 12/05/2018 06:34 PM, Phil Endecott wrote:
> Dear Experts,
>
> I have a couple of tables that I want to reconcile, finding rows
> that match and places where rows are missing from one table or the
> other:
>
> db=> select * from a;
> +------------+--------+
> | date | amount |
> +------------+--------+
> | 2018-01-01 | 10.00 |
> | 2018-02-01 | 5.00 | <-- missing from b
> | 2018-04-01 | 5.00 |
> +------------+--------+
>
> db=> select * from b;
> +------------+--------+
> | date | amount |
> +------------+--------+
> | 2018-01-01 | 10.00 |
> | 2018-03-01 | 8.00 | <-- missing from a
> | 2018-04-01 | 5.00 |
> +------------+--------+
>
> db=> select a.date, a.amount, b.date, b.amount from a full join b using (date,amount);
> +------------+--------+------------+--------+
> | date | amount | date | amount |
> +------------+--------+------------+--------+
> | 2018-01-01 | 10.00 | 2018-01-01 | 10.00 |
> | 2018-02-01 | 5.00 | | |
> | | | 2018-03-01 | 8.00 |
> | 2018-04-01 | 5.00 | 2018-04-01 | 5.00 |
> +------------+--------+------------+--------+
>
> This works fine until I have multiple items with the same date
> and amount:
>
> db=> select * from a;
> +------------+--------+
> | date | amount |
> +------------+--------+
> | 2018-01-01 | 10.00 |
> | 2018-02-01 | 5.00 |
> | 2018-04-01 | 5.00 |
> | 2018-05-01 | 20.00 | <--
> | 2018-05-01 | 20.00 | <--
> +------------+--------+
>
>
> db=> select * from b;
> +------------+--------+
> | date | amount |
> +------------+--------+
> | 2018-01-01 | 10.00 |
> | 2018-03-01 | 8.00 |
> | 2018-04-01 | 5.00 |
> | 2018-05-01 | 20.00 | <--
> | 2018-05-01 | 20.00 | <--
> +------------+--------+

What's your PK on "a" and "b"?

(Also, gmail seems to think that all -- or at least most -- of your email is
spam.)

> db=> select a.date, a.amount, b.date, b.amount from a full join b using (date,amount);
> +------------+--------+------------+--------+
> | date | amount | date | amount |
> +------------+--------+------------+--------+
> | 2018-01-01 | 10.00 | 2018-01-01 | 10.00 |
> | 2018-02-01 | 5.00 | | |
> | | | 2018-03-01 | 8.00 |
> | 2018-04-01 | 5.00 | 2018-04-01 | 5.00 |
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 1
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 2
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 3
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 4
> +------------+--------+------------+--------+
>
> It has, of course, put four rows in the output for the new items.
>
> So my question is: how can I modify my query to output only two rows,
> like this:?
>
> +------------+--------+------------+--------+
> | date | amount | date | amount |
> +------------+--------+------------+--------+
> | 2018-01-01 | 10.00 | 2018-01-01 | 10.00 |
> | 2018-02-01 | 5.00 | | |
> | | | 2018-03-01 | 8.00 |
> | 2018-04-01 | 5.00 | 2018-04-01 | 5.00 |
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 1
> | 2018-05-01 | 20.00 | 2018-05-01 | 20.00 | 2
> +------------+--------+------------+--------+
>
>
> Any suggestions anyone?
>
>
> The best I have found so far is something involving EXCEPT ALL:
>
> db=> select * from a except all select * from b;
> db=> select * from b except all select * from a;
>
> That's not ideal, though, as what I ultimately want is something
> that lists everything with its status:
>
> +------------+--------+--------+
> | date | amount | status |
> +------------+--------+--------+
> | 2018-01-01 | 10.00 | OK |
> | 2018-02-01 | 5.00 | a_only |
> | 2018-03-01 | 8.00 | b_only |
> | 2018-04-01 | 5.00 | OK |
> | 2018-05-01 | 20.00 | OK |
> | 2018-05-01 | 20.00 | OK |
> +------------+--------+--------+
>
> That would be easy enough to achieve from the JOIN.
>
>
> Thanks, Phil.
>
>
>

--
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