What is Google Cloud SQL?
Google Cloud SQL is web service that allows you to create, configure, and use relational databases with your App Engine applications. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.
By offering the capabilities of a MySQL database, the service enables you to easily move your data, applications, and services into and out of the cloud. This allows for high data portability and helps in faster time-to-market because you can quickly leverage your existing database (using JDBC and/or DB-API) in your App Engine application.
Here is where you can get an invite to the beta only Google Cloud SQL
Sign up for Limited Preview
Google Cloud SQL is available to a limited number of users. To sign up for the service:
- Visit the Google APIs Console. The console opens the All services pane.
- Find the SQL Service line in the Services table and click Request access…
- Fill out the enrollment form.
- Our team will review your enrollment information and respond by email to the address associated with your Google Account.
- Follow the link in the email to view the Terms of Service. Please read these carefully before accepting.
- Sign up for the google-cloud-sql-announce group to receive important announcements and product news. (NOTE- Members: 384)
1. There are three kinds of instances in the beta view
2. Wait for the Instance to be created note- the Design of the Interface uptil now is much better than Amazon’s.
Note you need to have an appspot application from Google Apps and can choose between the Python and Java versions. Quite clearly there is a play for other languages too. I think GO is also supported.
3. You can import your data from your Google Storage bucket
4. I am not that hot at coding or maybe the interface was too pretty. Anyways- the log tells me that import of the text file has failed from Google Storage to Google Cloud SQL
5. Incidentally the Google Cloud Storage interface is also much better than the Amazon GUI for transferring data- Note I was using the classical statistical dataset Boston Housing Data as the test case.
6. The SQL prompt is the weakest part of the design process of the Interphase. There is no Query builder and the SELECT FROM WHERE prompt is slightly amusing/ insulting . I mean guys either throw in a fully fledged GUI for query builder similar to the MYSQL Workbench , than create a pretty white command prompt.
7. You can also export your data back to your Google Storage bucket
These are early days, and I am trying to see if there is a play for some cloud kind of ODBC action between R, Prediction API , and the cloud SQL… so try it out yourself at http://code.google.com/apis/sql/
and see if there is any juice you can build here.