This tutorial assumes that you're using a Cloud SQL Second Generation instance.Add a user and verify everything is working.In this post-part of an open-ended series devoted to using GCP as a platform for doing data science at scale-I’ll take you through the following high-level steps: That difference aside, you can access Cloud SQL from your R programs just as you would any other SQL database. The only difference is that you'll need to use the Cloud SQL Proxy for bridging the connection between the R client and Cloud SQL. Using Cloud SQL, developers who are familiar with PostgreSQL (public beta announced at Google Cloud NEXT '17) or MySQL can record, manipulate and migrate data without needing to manage their own hardware and can scale up technical infrastructure without time-consuming migrations.Ĭonnecting R to Cloud SQL Second Generation is as easy as connecting to any MySQL database. Google Cloud SQL is a relational database service in Google Cloud Platform (GCP) that's easy to maintain and access from a variety of programming languages and data platforms. But first, to get to the data from the shared data store, those users will need to connect to MySQL from R. When data scientists or analysts outside the software development team analyze the data for insights, they may well choose the popular R programming language for creating statistical summaries and publication-quality visualizations of the data. Many developers working with relational data store aspects of business logic, customer metrics and other business data in a MySQL database. By connecting R to Cloud SQL, you can take advantage of all R features on top of a scalable, fully-managed MySQL service.
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