CREATE TABLE product ( id Integer NOT NULL, category text NOT NULL, title text NOT NULL, price money NOT NULL ); CREATE TABLE product_details ( id Integer NOT NULL, type text NOT NULL, description text NOT NULL ); CREATE TABLE shipping ( id Integer NOT NULL, description text NOT NULL, price money NOT NULL ); INSERT INTO product (id, category, title, price) VALUES (1, 'sweatshirts', 'hoodie', '$50.00'); INSERT INTO product_details (id, type, description) VALUES (1, 'color', 'red'); INSERT INTO product_details (id, type, description) VALUES (1, 'color', 'blue'); INSERT INTO product_details (id, type, description) VALUES (1, 'color', 'green'); INSERT INTO product_details (id, type, description) VALUES (1, 'size', 'small'); INSERT INTO product_details (id, type, description) VALUES (1, 'size', 'large'); INSERT INTO shipping (id, description, price) VALUES (1, 'standard box', '$17.05'); --WITH JSONB_PRETTY() FUNCTION --build json object for "shipping" field with shipping_data as ( select id, json_build_object('box', description, 'cost', price) as json from shipping ), --build json object for "choices" field choices_data as ( --build json aggregated by product 'id' column with details_data as ( --build json with "type" and "description" fields - grouped by product 'id' and 'type' columns select id, json_build_object(type, json_agg(description)) as type_json from product_details group by id, type) select id, json_agg(type_json) as json from details_data group by id ) --build final json with all fields select product.id, jsonb_pretty(json_build_object('id', product.id, 'category', category, 'title', title, 'price', price, 'shipping', shipping_data.json, 'choices', choices_data.json)::jsonb ) as product_json from product join shipping_data on shipping_data.id = product.id join choices_data on choices_data.id = product.id; --without any comments and jsonb_pretty() function with shipping_data as ( select id, json_build_object('box', description, 'cost', price) as json from shipping ), choices_data as ( with details_data as ( select id, json_build_object(type, json_agg(description)) as type_json from product_details group by id, type) select id, json_agg(type_json) as json from details_data group by id ) select product.id, json_build_object('id', product.id, 'category', category, 'title', title, 'price', price, 'shipping', shipping_data.json, 'choices', choices_data.json) as product_json from product join shipping_data on shipping_data.id = product.id join choices_data on choices_data.id = product.id;
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PostgreSQL is a open source relational database system and is also knows as Postgres.
CREATE command is used to create a table, schema or an index.
CREATE TABLE table_name (
column1 datatype,
column2 datatype,
....);
ALTER command is used to add, modify or delete columns or constraints from the database table.
ALTER TABLE Table_name ADD column_name datatype;
TRUNCATE command is used to delete the data present in the table but this will not delete the table.
TRUNCATE table table_name;
DROP command is used to delete the table along with its data.
DROP TABLE table_name;
RENAME command is used to rename the table name.
ALTER TABLE table_name1 RENAME to new_table_name1;
INSERT Statement is used to insert new records into the database table.
INSERT INTO table_name (column1, column2, column3, ...) VALUES (value1, value2, value3, ...);
Select statement is used to select data from database tables.
SELECT column1, column2, ...
FROM table_name;
UPDATE statement is used to modify the existing values of records present in the database table.
UPDATE table_name
SET column1 = value1, column2 = value2, ...
WHERE condition;
DELETE statement is used to delete the existing records present in the database table.
DELETE FROM table_name where condition;