CREATE TABLE Users (
  id INT NOT NULL AUTO_INCREMENT,
    first_name VARCHAR(255) NOT NULL,
    last_name VARCHAR(255) NOT NULL,
    email VARCHAR(255) NOT NULL,
    gender ENUM('Male', 'Female') NOT NULL,
    PRIMARY KEY (id)
);

CREATE TABLE BlogPosts (
    id INT NOT NULL AUTO_INCREMENT,
    title VARCHAR(255) NOT NULL,
    user_id INT NOT NULL,
    KEY user_id (user_id),
    CONSTRAINT `blogposts_ibfk_1` FOREIGN KEY (user_id)
        REFERENCES Users (id),
    PRIMARY KEY (id)
)

SELECT 
    U.id,
    CONCAT_WS(' ', U.first_name, U.last_name) AS FullName,
    BP.title
FROM
    Users AS U
        JOIN
    BlogPosts AS BP ON U.id = BP.user_id;

SELECT 
    JSON_OBJECT('id',
            U.id,
            'user',
            CONCAT_WS(' ', U.first_name, U.last_name),
            'title',
            BP.title)
FROM
    Users AS U
        JOIN
    BlogPosts AS BP ON U.id = BP.user_id;

SELECT 
    JSON_OBJECT('user',
            CONCAT_WS(' ', U.first_name, U.last_name),
            'blog_posts',
            JSON_ARRAYAGG(JSON_OBJECT('id', BP.id, 'title', BP.title))) AS JSON
FROM
    Users AS U
        JOIN
    BlogPosts AS BP ON U.id = BP.user_id
GROUP BY U.id;

{
  "id": "1",
  "new": false,
  "sku": "asdf123",
  "tag": ["fashion", "men", "jacket", "full sleeve"],
  "name": "Lorem ipsum jacket",
  "image": [
    "/assets/img/product/fashion/1.jpg",
    "/assets/img/product/fashion/3.jpg",
    "/assets/img/product/fashion/6.jpg",
    "/assets/img/product/fashion/8.jpg",
    "/assets/img/product/fashion/9.jpg"
  ],
  "price": 12.45,
  "rating": 4,
  "category": ["fashion", "men"],
  "discount": 10,
  "offerEnd": "October 5, 2020 12:11:00",
  "saleCount": 54,
  "description": {
    "fullDescription": "Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur? Nor again is there anyone who loves or pursues or desires to obtain pain of itself, because it is pain, but because occasionally circumstances occur in which toil and pain can procure him some great pleasure. To take a trivial example, which of us ever undertakes laborious physical exercise, except to obtain some advantage from it? But who has any right to find fault with a man who chooses to enjoy a pleasure that has no annoying consequences, or one who avoids a pain that produces no resultant pleasure?",
    "shortDescription": "Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur."
  }
}

SELECT newTable.* 
FROM experiments.productMetadata,
JSON_TABLE(
data,
    "$" COLUMNS (
id INT PATH "$.id",
        new CHAR(5) PATH "$.new",
        sku CHAR(20) PATH "$.sku",
        price FLOAT PATH "$.price",
        rating FLOAT PATH "$.rating",
        name CHAR(255) PATH "$.name",
        discount FLOAT PATH "$.discount",
        offerEnd TEXT PATH "$.offerEnd",
        saleCount INT PATH "$.saleCount",
        description TEXT PATH "$.description.shortDescription"
    )
) AS newTable;

tag CHAR(20) PATH "$.tag[0]"

SELECT newTable.* 
FROM experiments.productMetadata,
JSON_TABLE(
data,
    "$" COLUMNS (
id INT PATH "$.id",
        new CHAR(5) PATH "$.new",
        sku CHAR(20) PATH "$.sku",
        price FLOAT PATH "$.price",
        rating FLOAT PATH "$.rating",
        NESTED PATH '$.tag[*]' COLUMNS (tag TEXT PATH '$'),
        name CHAR(255) PATH "$.name",
        discount FLOAT PATH "$.discount",
        offerEnd TEXT PATH "$.offerEnd",
        saleCount INT PATH "$.saleCount",
        description TEXT PATH "$.description.shortDescription",
        NESTED PATH '$.image[*]' COLUMNS (image TEXT PATH '$'),
        NESTED PATH '$.category[*]' COLUMNS (category TEXT PATH '$')
    )
) AS newTable;

NESTED PATH '$.category[*]' COLUMNS (categoryRowId FOR ORDINALITY, category TEXT PATH '$')

name CHAR(255) PATH "$.name" ERROR ON EMPTY,
price FLOAT PATH "$.price" DEFAULT "0" ON EMPTY,

name CHAR(255) PATH "$.name" NULL ON EMPTY,