Postgres Function to insert multiple records in two tables

Question

create table public.orders (
    orderID serial PRIMARY KEY,
    orderdate timestamp NOT NULL
);

create table public.orderdetails (
    orderdetailID serial PRIMARY KEY         


        

Answer 1

Thanks Klin. That helped a lot.

Further, I was able to avoid the usage of an explicit type and just having used the table defined as an array.

Code below:

-- Create table whose type will be passed as input parameter
create table tbl_card
(id integer,
name varchar(10),
cardno bigint)

-- Create function to accept an array of table
create or replace function fn_insert_card_arr (tbl_card[]) returns integer as $$
begin
insert into tbl_card (id, name,cardno)
select id, name, cardno
from unnest($1);

return 0;
end;
$$ LANGUAGE plpgsql;

-- Execute function by passing an array of table (type casted to array of type table)
select fn_insert_card_arr(
array[
    (1,'one', 2222777744448888), 
    (2,'two', 8888444466662222),
    (3,'three', 2222777744448888), 
    (4,'four', 8888444466662222)
]::tbl_card[]
);

Answer 2

You can use an array of tuples to pass multiple rows to the function. You need a custom type:

create type order_input as (
    item text,
    quantity integer);

Use array of this type for an argument of the function:

create or replace function insert_into_orders(order_input[])
returns void language plpgsql as $$
declare 
    inserted_id integer;
begin
    insert into public.orders(orderdate) 
    values (now()) 
    returning orderid into inserted_id;

    insert into public.orderdetails(orderid, item, quantity)
    select inserted_id, item, quantity
    from unnest($1);
end $$;

Usage:

select insert_into_orders(
    array[
        ('Red Widget', 10), 
        ('Blue Widget', 5)
    ]::order_input[]
);

select * from orderdetails;

 orderdetailid | orderid |    item     | quantity 
---------------+---------+-------------+----------
             1 |       1 | Red Widget  |       10
             2 |       1 | Blue Widget |        5
(2 rows)