Companies maintain their valuable data in the Databases and Data Warehouses. MariaDB is one of the widely used open-source Relational Database Systems (RDBMS) that lets companies manage their data in a structured way.
MariaDB supports many applications, platforms, and Operating Systems. With the help of MariaDB, Developers can easily integrate their applications to store data in a structured manner.
Enterprises mostly use Java applications and it requires JDBC Driver connectivity to connect Databases such as MariaDB, MySQL, etc. MariaDB JDBC Driver Integration allows developers to build scalable applications and maintain data.
MariaDB JDBC Driver Integration makes it easier for companies to connect to applications for live data updates. In this article, you will learn about MariaDB, JDBC Driver, and the steps to set up MariaDB JDBC Driver Integration.
Prerequisites
- MariaDB is installed on your local machine.
- Brief knowledge of Java.
- Brief knowledge of SQL.
What is MariaDB?
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MariaDB is an open-source relational database that is a community-developed fork of the MySQL Database. It’s made by the original developers of MySQL. The main reason to create MariaDB Relational Database is due to keeping the technology open source and concerns over its acquisition by Oracle Corporation. MariaDB Database is fast, reliable, and scalable that is widely used in industries to store data in a structured manner.
MariaDB comes with its robust storage engines, plugins, and an SQL interface for accessing data that makes it versatile for many use cases. It supports JSON APIs, parallel Data Replication, and multiple storage engines including InnoDB, MyRocks, Spider, Aria, TokuDB, Cassandra, and MariaDB ColumnStore. MariaDB also comes with its commercial version on a subscription basis.
Key Features of MariaDB
Some of the main features of MariaDB are listed below:
- Sequence Storage Engine: MariaDB comes with its sequence engine that allows users to create ascending or descending sequences of numbers with given starting, ending, and increment values.
- Galera Cluster: MariaDB supports the Galera Cluster that enables synchronous replication of data. It allows servers to keep high time up, prevent data loss and deliver scalability to its users.
- JSON Support: MariaDB offers JSON support that lets users insert JSON documents in a specially designated table column.
What is JDBC Driver?
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JDBC stands for Java Database Connectivity is an application programming interface and software component that enable Java application to interact with Databases and run on any platform with a Java Virtual Machine. Users don’t need to write separate applications for accessing different database systems.
JDBC allows users to write a single application that can send SQL statements to various data sources. The JDBC driver connects to a Database using a formatted URL that includes the host and port number, the machine, and database names.
There are 4 types of JDBC Drivers:
- Type 1 − JDBC-ODBC Bridge Driver
- Type 2 − JDBC-Native API
- Type 3 − JDBC-Net pure Java
- Type 4 − 100% Pure Java
Steps to Set Up MariaDB JDBC Driver Integration
Now that you have understood about MariaDB and JDBC Driver. In this section, you will learn the steps to set up MariaDB JDBC Driver Integration. You will go through the steps to install the MariaDB JDBC Driver using different ways and then explore it. The following steps for MariaDB JDBC Driver Integration are listed below:
Step 1: Installing the MariaDB JDBC Driver Connector
There are 3 methods to install the MariaDB JDBC Driver. However, the first two are recommended methods. The following methods are listed below:
1) MariaDB JDBC Driver with Maven
- You can install the MariaDB JDBC Driver using the package manager.
- To add the MariaDB JDBC Driver Connector with Maven, you need to add the dependency to the “pom.xml” configuration file of the project.
- The following code is given below:
<dependency>
<groupId>org.mariadb.jdbc</groupId>
<artifactId>mariadb-java-client</artifactId>
<version>$VERSION</version>
</dependency>
- Here, in the above code, ensure to replace “$VERSION” with the valid MariaDB JDBC Driver Connector version number.
2) MariaDB JDBC Driver with Gradle
- You can install the MariaDB JDBC Driver using the package manager.
- To add the MariaDB JDBC Driver Connector with Gradle, you need to add the dependency to the “build.gradle” configuration file of the project.
- The following code is given below:
implementation 'org.mariadb.jdbc:mariadb-java-client:$VERSION'
- Here, in the above code, ensure to replace “$VERSION” with the valid MariaDB JDBC Driver Connector version number.
3) MariaDB JDBC Driver Manually with JAR File
- Once, you have downloaded the files, you have to install .jar file to a directory in your CLASSPATH.
Step 2: Getting a New Connection Using DriverManager
- The DriverManager is used to locate and load the MariaDB JDBC Driver Connector in the application.
- Once it locates it correctly, the application doesn’t need additional configuration for MariaDB JDBC Driver Connection.
- For example, the following code is given below to create a new connection using “DriverManager” in the application.
Connection connection = DriverManager.getConnection("jdbc:mariadb://localhost:3306/DB?user=root&password=myPassword");
- In the above code, the “DriverManager” class will automatically load the MariaDB JDBC Driver Connector.
Step 3: Formatting the JDBC Connection Strings
In this step, let’s have a close look at the parameters used in getting a new connection using the “DriverManager” class.
- The following syntax given below provides a JDBC connection string.
jdbc:(mysql|mariadb):[replication:|loadbalance:|sequential:|aurora:]//<hostDescription>[,<hostDescription>...]/[database][?<key1>=<value1>[&<key2>=<value2>]]
- Here, you can use MariaDB or MySQL Databases where the information for “hostDescription” is given below.
<host>[:<portnumber>] or address=(host=<host>)[(port=<portnumber>)][(type=(master|slave))]
- In the above syntax, the host must be the DNS name or the IP address.
- The default port is 3306 and the default type is master.
- Some of the examples host and port are given below.
- localhost:3306
- [2001:0660:7401:0200:0000:0000:0edf:bdd7]:3306
- somehost.com:3306
Step 4: Creating a Sample Table
- Let’s code in the main application to create a new table in the MariaDB Database using JDBC Driver.
- A sample code to create a new table is given below.
Connection connection = DriverManager.getConnection("jdbc:mariadb://localhost:3306/test", "username", "password");
Statement stmt = connection.createStatement();
stmt.executeUpdate("CREATE TABLE a (id int not null primary key, value varchar(20))");
stmt.close();
connection.close();
- In the above code, the DriverManager class creates a new MariaDB JDBC Driver connection. Then, the SQL query to create a table is executed, and the connection is closed.
That’s it! You have completed the MariaDB JDBC Driver Integration.
Benefits of MariaDB JDBC Driver Integration
A few benefits of using the MariaDB JDBC Driver Integration are listed below:
- MariaDB JDBC Driver Integration allows you to seamlessly integrate tools, BI, Reporting, and ETL tools with the custom applications.
- MariaDB JDBC Driver Integration provides full support for data aggregation and complex JOINs in SQL queries.
- MariaDB JDBC Driver Integration enables embedded SSH tunneling to secure connections to remote MariaDB Databases.
Conclusion
In this article, you learned about MariaDB, JDBC Driver, and the steps to set up MariaDB JDBC Driver Integration. You also read about the benefits of MariaDB JDBC Driver Integration and how it helps companies and developers build, test, and maintain business data integrated with scalable applications.
JDBC Driver is a widely used software component when it comes to building enterprise solutions. MariaDB is a fast, reliable, and scalable database that satisfies business needs.
Aditya Jadon is a data science enthusiast with a passion for decoding the complexities of data. He leverages his B. Tech degree, expertise in software architecture, and strong technical writing skills to craft informative and engaging content. Aditya has authored over 100 articles on data science, demonstrating his deep understanding of the field and his commitment to sharing knowledge with others.
