You can feed the JSON into a SQL statement that extracts the information and inserts that into the table. If the JSON attributes have exactly the name as the table columns you can do something like this:
with customer_json (doc) as (
values
('[
{
"id": 23635,
"name": "Jerry Green",
"comment": "Imported from facebook."
},
{
"id": 23636,
"name": "John Wayne",
"comment": "Imported from facebook."
}
]'::json)
)
insert into customer (id, name, comment)
select p.*
from customer_json l
cross join lateral json_populate_recordset(null::customer, doc) as p
on conflict (id) do update
set name = excluded.name,
comment = excluded.comment;
New customers will be inserted, existing ones will be updated. The "magic" part is the json_populate_recordset(null::customer, doc)
which generates a relational representation of the JSON objects.
The above assumes a table definition like this:
create table customer
(
id integer primary key,
name text not null,
comment text
);
If the data is provided as a file, you need to first put that file into some table in the database. Something like this:
create unlogged table customer_import (doc json);
Then upload the file into a single row of that table, e.g. using the copy
command in psql
(or whatever your SQL client offers):
copy customer_import from 'customers.json' ....
Then you can use the above statement, just remove the CTE and use the staging table:
insert into customer (id, name, comment)
select p.*
from customer_import l
cross join lateral json_populate_recordset(null::customer, doc) as p
on conflict (id) do update
set name = excluded.name,
comment = excluded.comment;
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