Automatically creating a table and inserting data from json file - json

Question

I have nearly 50 json files. I want to create Postgres database based on these files. Each file contains data of one table. The files are not very large (at maximum several thousand records). Example data from customers.json (in fact there are more fields, I have simplified it):
[
{
"Id": 55948,
"FullName": "Full name #1",
"Address": "Address #1",
"Turnover": 120400.5,
"DateOfRegistration": "2014-02-13",
"LastModifiedAt": "2015-11-03 12:04:44" },
{
"Id": 55949,
"FullName": "Full name %2",
"Address": "Address #2",
"Turnover": 120000.0,
"DateOfRegistration": "2012-12-01",
"LastModifiedAt": "2015-11-04 17:14:21" }
]
I try to write a function which creates a table and inserts all the data to it. My attempt is based on dynamic query using EXECUTE:
CREATE OR REPLACE FUNCTION import_json(table_name text, data json)
RETURNS VOID AS $$
DECLARE
query text;
colname text;
BEGIN
query := 'CREATE TABLE ' || table_name || ' (';
FOR colname IN SELECT json_object_keys(data->0)
LOOP query := query || lower(colname) || ' text,';
END LOOP;
query := rtrim(query, ',') || ');';
EXECUTE(query);
END $$ LANGUAGE plpgsql;
My function creates a table with expected column names, but all columns are of type text. The problem is that I do not know how to define proper types of columns.
The json files are formatted well and contain integer, numeric, date, timestamp and text values. I would like to get the table:
CREATE TABLE customers (
id integer,
fullname text,
address text,
turnover numeric,
date_of_registration date,
last_modified_at timestamp);
The main question: how can I recognize types of columns in generated table?
Additionally, is there an easy way to transform Pascal to underscore notation ("DateOfRegistration" -> "date_of_registration")?

Answer 1

You can determine the type of a column by examining a value.
The function below formats column's definition from a pair (key, value).
It uses regex pattern matching.
It also transforms column's name to the notation with underscores (using regexp_replace() function).
Of course, the function wont work properly if the value represents NULL, so you have to check that the first json record has all not-null values.
create or replace function format_column(ckey text, cval text)
returns text language sql immutable as $$
select format('%s %s',
lower(regexp_replace(ckey, '(.)([A-Z])', '\1_\2', 'g')),
case
when cval ~ '^[\+-]{0,1}\d+$' then 'integer'
when cval ~ '^[\+-]{0,1}\d*\.\d+$' then 'numeric'
when cval ~ '^"\d\d\d\d-\d\d-\d\d"$' then 'date'
when cval ~ '^"\d\d\d\d-\d\d-\d\d \d\d:\d\d:\d\d"$' then 'timestamp'
else 'text'
end
)
$$;
select format_column(key, value)
from (
values
('Id', '55948'),
('FullName', '"Full name #1"'),
('Turnover', '120400.5'),
('DateOfRegistration', '"2014-02-13"')
) val(key, value);
format_column
---------------------------
id integer
full_name text
turnover numeric
date_of_registration date
(4 rows)
In the main function you do not need variables or loops.
Use format() function to format strings with parameters and string_agg() to create textual lists.
Since you need both keys and values, use json_each() instead of json_object_keys(). In the second query you can use row_number() to ensure that the aggregated list of values is divided for consecutive records.
create or replace function import_table(table_name text, jdata json)
returns void language plpgsql as $$
begin
execute format('create table %s (%s)', table_name, string_agg(col, ', '))
from (
select format_column(key::text, value::text) col
from json_each(jdata->0)
) sub;
execute format('insert into %s values %s', table_name, string_agg(val, ','))
from (
with lines as (
select row_number() over () rn, line
from (
select json_array_elements(jdata) line
) sub
)
select rn, format('(%s)', string_agg(value, ',')) val
from (
select rn, format('%L', trim(value::text, '"')) as value
from lines, json_each(line)
) sub
group by 1
) sub;
end $$;
Test:
select import_table('customers',
'[{ "Id": 55948,
"FullName": "Full name #1",
"Address": "Address #1",
"Turnover": 120400.5,
"DateOfRegistration": "2014-02-13",
"LastModifiedAt": "2015-11-03 12:04:44" },
{ "Id": 55949,
"FullName": "Full name %2",
"Address": "Address #2",
"Turnover": 120000.0,
"DateOfRegistration": "2012-12-01",
"LastModifiedAt": "2015-11-04 17:14:21" }]');
\d customers
Table "public.customers"
Column | Type | Modifiers
----------------------+-----------------------------+-----------
id | integer |
full_name | text |
address | text |
turnover | numeric |
date_of_registration | date |
last_modified_at | timestamp without time zone |
select * from customers;
id | full_name | address | turnover | date_of_registration | last_modified_at
-------+--------------+------------+----------+----------------------+---------------------
55948 | Full name #1 | Address #1 | 120400.5 | 2014-02-13 | 2015-11-03 12:04:44
55949 | Full name %2 | Address #2 | 120000.0 | 2012-12-01 | 2015-11-04 17:14:21
(2 rows)