Generate 1000 Rows with PostgreSQL and Mockaroo

Table of Contents

1. Introduction
2. Generating Data with Maca Rule
3. Configuring the Table Fields
   • Excluding the ID Field
   • Adding First Name, Last Name, and Gender Fields
   • Adding Date of Birth Field
   • Configuring Nullable Email Addresses
   • Adding the Country of Birth Field
4. Downloading the Data
5. Opening the File in VS Code
6. Modifying the SQL Statements
7. Executing the SQL Statements
8. Fixing the Missing ID Field
9. Dropping the Table
10. Finalizing the Table Creation

Generating and Configuring Data for a Database Table

In this article, we will learn how to generate and configure data for a database table using the Maca Rule website. We will explore the process step by step and ensure the table includes specific fields such as first name, last name, gender, date of birth, email, and country of birth. We will also discuss how to download the generated data and open it in VS Code for further modifications.

Introduction

Creating a database table with realistic data is essential for testing and development purposes. By using the Maca Rule website, we can easily generate a large number of random records in various formats, including SQL. This allows us to populate our table with diverse data types and values.

Generating Data with Maca Rule

Maca Rule is a daily data generator that lets users create random data according to their specified fields and formats. To generate a thousand records for our table, we can use this website and select the desired fields and types. In this case, we will exclude the ID field, as it is managed by the sequence in our database.

Configuring the Table Fields

Before we generate the data, we need to configure the fields for our table. The following fields will be included in the table:

Excluding the ID Field

The ID field will be excluded from our table as it is automatically managed by the database sequence.

Adding First Name, Last Name, and Gender Fields

We will include the first name, last name, and gender fields in our table. These fields will contain randomly generated values.

Adding Date of Birth Field

The date of birth field will be added to our table. It will be specified as a date type, and the format will be set to year, month, and day.

Configuring Nullable Email Addresses

To create variety in our data, we will configure the email field to have a 30% chance of being null. This means that 30% of the records will not have an email address, while the remaining 70% will have a valid email address.

Adding the Country of Birth Field

Lastly, we will add the country of birth field to our table. This field will store the country names and will be set as an MP country type.

Downloading the Data

Once we have configured the fields, we can generate a thousand rows of data using Maca Rule. We can download the data in SQL format, which will allow us to easily import it into our database.

Opening the File in VS Code

To work with the downloaded SQL file, we can use VS Code as our preferred IDE. VS Code provides excellent support for working with SQL files and allows us to make modifications to the data as needed.

Modifying the SQL Statements

Upon opening the SQL file in VS Code, we will see the create table statement and a series of insert statements. We will modify the insert statements to ensure the correct data types and sizes are used for each field. Additionally, we will add the missing ID field as a big serial primary key.

Executing the SQL Statements

To insert the data into our database, we can execute the modified SQL statements. Instead of manually copying and pasting the statements, we can use the backslash-I command in the terminal to execute the commands from the SQL file.

Fixing the Missing ID Field

After executing the SQL statements, we will notice that the ID field is missing from the table. We can easily fix this issue by modifying the create table statement in the SQL file to include the ID field as a big serial primary key.

Dropping the Table

In case we need to make further modifications or start fresh, we can drop the entire table using the drop table command. However, it is important to note that this command should only be used in a non-production environment.

Finalizing the Table Creation

After re-executing the SQL statements with the updated create table statement, we will have our table populated with a thousand random records. The table will contain fields such as first name, last name, gender, date of birth, email, and country of birth, allowing us to test various database operations.

By following these steps, you can easily generate and configure data for your database table using Maca Rule and make modifications as needed.