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The MariaDB Connector for AWS Glue simplifies the process of connecting AWS Glue jobs to extract data from MariaDB, and also load data into MariaDB. This connector provides comprehensive access to MariaDB data, facilitating cloud ETL processes for operational reporting, data governance, and more.
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Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
AWS Glue Connector for MariaDB, it extracts as well as loads data from and to MariaDB
MariaDB connector lets you access MariaDB tables from your Glue ETL jobs. In particular, you can extract data from MariaDB using this connector within the Glue ETL job.
Connector options you need to set
host (required) the MariaDB database host IP or domain that is publicly accessible.
port (optional, default is 3306) the database port.
schema (required) the schema name.
username (required) the database user's username.
password (required) the database user's password.
table (required) the table name you want to pull data, consider the case sensitivity in the table name.
The recommended approach to setting the connector options
Use AWS Secrets Manager can be used to store username, password and other sensitive information related to source connection.
The IAM Role you will be using in the Glue Job should contain the following policies
AWS Glue Service - To run the job.
Amazon EC2 Container Registry - To access AWS Container Registry.
Secrets Manager (optional) - If you use AWS Secrets Manager for connection options.
Using the MariaDB Connector for AWS Glue
Here are the setup steps for configuring the MariaDB Connector:
Setup IAM Role for policies and secret AWS Secrets Manager
Setup MariaDB connector and a related connection on Glue Studio console.
Create a job.
Save and run the job.
Step 1: Setup IAM Role for policies and secret AWS Secrets Manager
Create role and secret:
IAM Role for policies as described above.
Optional - Create secret in AWS Secrets Manager for the connector options described above.
Step 2: Setup MariaDB connector and a related connection on Glue Studio console
To set up the MariaDB connector and create a connection for your job:
Subscribe to product and activate the connector using AWS Glue Studio from the top of this instruction page.
Enter your connection name and choose "Create connection and active connector". You can optionally add a description, "Connection access" and "Network options". If you have created an AWS secret with the connector options you can choose your AWS secret from the dropdown under "Connection access".
Step 3: Create a job
To create a job from your connection which is created in the previous step:
Choose the connection and "create job".
Select your created connection figure on the visual canvas.
Add connection options and enter the necessary information.
Follow the earlier step (Connector options you need to set) to add the connection options
Or you can create an AWS secret with the connector options and attach with the connection as stated in the above step 2.1
Enter the job name, choose IAM Role created in step 1, and other properties in the "Job details" tab, and Choose "Save"
Step 4: Save and run the job
Run the job after filling in all parameters and creating the connector job.
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This product has charges associated with it for seller support. Experience seamless database management with the MariaDB on CentOS 10 AMI, optimized for performance and reliability in the AWS EC2 cloud environment. This pre-configured AMI provides a robust open-source database solution, ensuring high availability and scalability for your applications. Ideal for both small-scale projects and enterprise-level deployments, it supports advanced features such as replication, clustering, and enhanced security protocols. Utilizing CentOS 10, it takes advantage of the latest kernel optimizations and system libraries for superior stability. Easily integrate with various programming languages and frameworks while benefiting from comprehensive support and community resources. Deploy your MariaDB instance effortlessly and streamline your data-driven applications in the cloud.
This is a repackaged software product wherein additional charges apply for hardening, bundling and support. Deploy Mariadb on Ubuntu 20.04 lts focal at Aws cloud to enhance web performance with caching strategies, speed up content delivery, and reduce server load.
This is a repackaged software product wherein additional charges apply for hardening, bundling and support. Deploy Mariadb on Ubuntu 18.04 lts bionic at Aws cloud to enhance web performance with caching strategies, speed up content delivery, and reduce server load.
This product has charges associated with it for seller support. The MariaDB (MySQL) on Amazon Linux 2023 AMI provides a robust, open-source relational database management system optimized for high performance on Amazon EC2. Benefit from seamless scalability, enhanced security features, and automatic updates tailored for the latest Amazon Linux environment. With built-in compatibility for MySQL, migrating existing applications is straightforward, enabling efficient database management and querying capabilities. This AMI is ideal for developers and enterprises looking to deploy resilient applications with reliable data storage solutions, whether for web hosting, enterprise applications, or data analytics. Leverage the power of AWS infrastructure to achieve improved operational efficiency and lower maintenance costs, making it a perfect fit for both small projects and large-scale deployments.