![]() ![]() ![]() online_shop-# INSERT INTO sales_products (sales_id, product_id) VALUES (100731, 1) Insert sample data into the sales_products table. online_shop-# CREATE TABLE sales_products ( The product_id column in the sales_products table refers back to the product_id column in the products table. The sales_products table stores the product_ids associated with each customer's order. Query the products table to verify the data. INSERT INTO products (product_name, retail_price) VALUES ('AFTER SHAVE BALM', 9.35) INSERT INTO products (product_name, retail_price) VALUES ('FRESH ENERGY ROLL ON', 4.55) INSERT INTO products (product_name, retail_price) VALUES ('MEN FACIA CREAM', 4.20) INSERT INTO products (product_name, retail_price) VALUES ('LAVENDER SHOWER GEL', 6.55) INSERT INTO products (product_name, retail_price) VALUES ('LEMON SHAMPOO', 8.85) INSERT INTO products (product_name, retail_price) VALUES ('BEAUTY SOAP', 1.25) online_shop-# INSERT INTO products (product_name, retail_price) VALUES ('COOL KICK SPRAY', 4.55) Populate the products table with sample data. You are now connected to database "online_shop" as user "postgres".Ĭreate a products table. ![]() postgres=# CREATE DATABASE online_shop Ĭonnect to the new online_shop database: postgres=# \connect online_shop Then, execute the following statement to create a sample online_shop database. $ sudo -u postgres psqlĮnter your password and press ENTER to proceed. Log in to the PostgreSQL server as user postgres. To better understand how PostgreSQL joins work, create a sample database, add a few tables, and load data by following the steps below: Set Up a Sample Database, a Few Tables, and Some Records ![]() Install and configure a PostgreSQL server.ġ. This tutorial provides the basic concepts of using different joins when working in a PostgreSQL server. A JOIN statement uses a single command to fetch and filter data from multiple tables. A JOIN statement that uses indexed columns executes faster.įlexibility. Developers comprehend JOIN statements faster than nested sub-queries. The following list highlights some benefits of using joins in PostgreSQL: Normalization is a technique for reducing data redundancy, improving efficiency, and speeding up queries in a database. If it's not for some reason to do with SQL's deeper architecture, I'd like to understand why.A PostgreSQL JOIN models logical relationships when retrieving data from multiple normalized database tables. This feels like a more correct
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