From: | Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com> |
---|---|
To: | Dian M Fay <dian(dot)m(dot)fay(at)gmail(dot)com> |
Cc: | Dmitry Dolgov <9erthalion6(at)gmail(dot)com>, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Andres Freund <andres(at)anarazel(dot)de>, Alexander Korotkov <aekorotkov(at)gmail(dot)com>, Justin Pryzby <pryzby(at)telsasoft(dot)com>, David Steele <david(at)pgmasters(dot)net>, Nikita Glukhov <n(dot)gluhov(at)postgrespro(dot)ru>, Alvaro Herrera <alvherre(at)2ndquadrant(dot)com>, David Fetter <david(at)fetter(dot)org>, Thomas Munro <thomas(dot)munro(at)gmail(dot)com>, Oleksandr Shulgin <oleksandr(dot)shulgin(at)zalando(dot)de>, Robert Haas <robertmhaas(at)gmail(dot)com>, Michael Paquier <michael(dot)paquier(at)gmail(dot)com>, Oleg Bartunov <obartunov(at)gmail(dot)com>, Peter Eisentraut <peter(dot)eisentraut(at)2ndquadrant(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: [HACKERS] [PATCH] Generic type subscripting |
Date: | 2021-01-10 18:52:30 |
Message-ID: | CAFj8pRCGanQPvHZY5QXDtd6oQ8k3kQXcEMt53T3k=JY=+T-UyQ@mail.gmail.com |
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Lists: | pgsql-hackers |
Hi
> I'm thinking of the update path as a kind of implicit schema. JSON is
> intentionally not bound to any schema on creation, so I don't see a
> failure to enforce another schema at runtime (and outside the WHERE
> clause, at that) as an error exactly.
>
This concept is not consistent with other implemented behaviour.
1. The schema is dynamically enhanced - so although the path doesn't
exists, it is created and data are changed
postgres=# create table foo(a jsonb);
CREATE TABLE
postgres=# insert into foo values('{}');
INSERT 0 1
postgres=# update foo set a['a']['a'][10] = '0';
UPDATE 1
postgres=# select * from foo;
┌───────────────────────────────────────────────────────────────────────────────┐
│ a
│
╞═══════════════════════════════════════════════════════════════════════════════╡
│ {"a": {"a": [null, null, null, null, null, null, null, null, null, null,
0]}} │
└───────────────────────────────────────────────────────────────────────────────┘
(1 row)
So although the path [a,a,10] was not exists, it was created.
2. this update fails (and it is correct)
postgres=# update foo set a['a']['a']['b'] = '0';
ERROR: path element at position 3 is not an integer: "b"
although the path [a,a,b] doesn't exists, and it is not ignored.
This implementation doesn't do only UPDATE (and then analogy with WHERE
clause isn't fully adequate). It does MERGE. This is necessary, because
without it, the behaviour will be pretty unfriendly - because there is not
any external schema. I think so this is important - and it can be little
bit messy. I am not sure if I use correct technical terms - we try to use
LAX update in first step, and if it is not successful, then we try to do
LAX insert. This is maybe correct from JSON semantic - but for developer it
is unfriendly, because he hasn't possibility to detect if insert was or was
not successful. In special JSON functions I can control behave and can
specify LAX or STRICT how it is necessity. But in this interface
(subscripting) this possibility is missing.
I think so there should be final check (semantically) if value was updated,
and if the value was changed. If not, then error should be raised. It
should be very similar like RLS update. I know and I understand so there
should be more than one possible implementations, but safe is only one -
after successful update I would to see new value inside, and when it is not
possible, then I expect exception. I think so it is more practical too. I
can control filtering with WHERE clause. But I cannot to control MERGE
process. Manual recheck after every update can be terrible slow.
Regards
Pavel
> But I looked into the bulk case a little further, and "outside the
> WHERE clause" cuts both ways. The server reports an update whether or
> not the JSON could have been modified, which suggests triggers will
> fire for no-op updates. That's more clearly a problem.
>
> insert into j (val) values
> ('{"a": 100}'),
> ('{"a": "200"}'),
> ('{"b": "300"}'),
> ('{"c": {"d": 400}}'),
> ('{"a": {"z": 500}}');
>
> INSERT 0 5
> update j set val['a']['z'] = '600' returning *;
> val
> ────────────────────────────────────
> {"a": 100}
> {"a": "200"}
> {"a": {"z": 600}, "b": "300"}
> {"a": {"z": 600}, "c": {"d": 400}}
> {"a": {"z": 600}}
> (5 rows)
>
> *UPDATE 5*
>
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