MySQL is a fast and efficient RDBMS. It can be accessed by Java to store and retrieve data. This tutorial discusses the steps to connect to a MySQL database and what each function does.
Creating a MySQL Database
This blog post will guide you through the steps to create a MySQL Database in Java.
To start, import the MySQL JDBC driver. The import statement should look like this:
import java.sql.Driver;
Then, create a connection object to the MySQL database using the following code:
Connection conn = DriverManager.getConnection(“jdbc:mysql://localhost/database”);
Finally, create a SQL statement to create the database with the following code:
String CREATE_DB_SQL = “CREATE DATABASE ” + databaseName; conn.createStatement().execute(CREATE_DB_SQL);
Using Database API to create tables
A MySQL database is a database for storing and organizing data and using SQL (Structured Query Language) commands to manipulate and read data. MySQL Database can be accessed by using a language like Python, Java, and Ruby. It is important to remember that for Java, you must import the MySQL connector. It is recommended to use .table() and .insert() to create and add records to tables. Make sure to add the import package import java.sql.*, and add this line of code:
DriverManager.registerDriver(new oracle.jdbc.driver.OracleDriver());
The blog post explains how to use a MySQL database in Java by creating and using tables and inserting records.
How to Make API Calls
A Brief Overview of Creating API Calls
APIs are an increasingly common way for developers to interface with other data sources. One of the main APIs is the database API, which allows developers to interact with a database. The database API is not the only interface for using databases, but they are one of the most important ones.
The database API is used to interact with the database in four steps.
Step One: Open the database.
Step Two: Create a SQL statement.
Step Three: Execute the SQL statement.
Step Four: Close the database.
How to Connect to the Database Using JDBC
This is an article about connecting databases with the java programming language, java.net.JDBC.
The article is about how to use java.net.JDBC to connect to databases with the java programming language.
It is important to take note that JDBC is an API that is used for connectivity to databases.
A connection object is used to create connections to databases.
A Connection object can be created by using the Connection() method or by using the DriverManager.getConnection() method.
There are five different methods an application can use to connect to a database.
The Connection object can be opened by using the open() method or by using the DriverManager.getConnection() method.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Genomics at Scale: How Database Performance Accelerates Drug Discovery
- 5 September 2025
- Software Engineering
Introduction Genomics research and drug discovery generate some of the world’s largest datasets. Sequencing, molecular simulations, and clinical trial analytics all rely on vast, high-speed databases. Yet many organizations struggle when data systems lag, slowing the path from discovery to treatment. In this article, we explore why genomics is so dependent on database performance, the … Continue reading “Genomics at Scale: How Database Performance Accelerates Drug Discovery”
From Metals to Chemicals: Database Performance as the Hidden Driver of Industry
Introduction Modern industry runs on data as much as it does on raw materials. From metals and mining to chemicals and advanced manufacturing, operations rely on massive, complex databases. Yet the performance of those databases often goes unnoticed — until latency, inefficiency, or outages begin costing millions. In this article, we explore how database performance … Continue reading “From Metals to Chemicals: Database Performance as the Hidden Driver of Industry”
How Enteros Transforms Database Performance Management and Cloud FinOps to Elevate AI Performance in the AI Sector
- 4 September 2025
- Database Performance Management
Introduction The AI sector is rapidly reshaping industries worldwide, from healthcare and finance to retail, gaming, and beyond. As generative AI models, machine learning pipelines, and advanced data-driven applications become more resource-intensive, the underlying database infrastructure that supports them faces mounting challenges. High volumes of structured and unstructured data must be ingested, processed, and queried … Continue reading “How Enteros Transforms Database Performance Management and Cloud FinOps to Elevate AI Performance in the AI Sector”
How Enteros Uses Cost Estimation and Database Performance Optimization to Drive AIOps and RevOps Efficiency in the BFSI Sector
Introduction The Banking, Financial Services, and Insurance (BFSI) sector has always been at the forefront of technological transformation. With millions of daily financial transactions, high compliance demands, and an increasingly digital-first customer base, the efficiency of IT operations plays a critical role in ensuring stability, security, and scalability. In recent years, BFSI companies have turned … Continue reading “How Enteros Uses Cost Estimation and Database Performance Optimization to Drive AIOps and RevOps Efficiency in the BFSI Sector”