Query Amazon S3 Data in DataGrip

DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Amazon S3, DataGrip can work with live Amazon S3 data. This article shows how to establish a connection to Amazon S3 data in DataGrip.

Create a New Driver Definition for Amazon S3

The steps below describe how to create a new Data Source in DataGrip for Amazon S3.

1. In DataGrip, click File -> New > Project and name the project
2. In the Database Explorer, click the plus icon () and select Driver.
3. In the Driver tab:
   • Set Name to a user-friendly name (e.g. "CData Amazon S3 Driver")
   • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.amazons3.jar).
   • Set Class to cdata.jdbc.amazons3.AmazonS3.jar
   Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc
   • For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
4. Click "Apply" then "OK" to save the Connection

Configure a Connection to Amazon S3

1. Once the connection is saved, click the plus (), then "Data Source" then "CData Amazon S3 Driver" to create a new Amazon S3 Data Source.
2. In the new window, configure the connection to Amazon S3 with a JDBC URL.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.amazons3.jar

   Fill in the connection properties and copy the connection string to the clipboard.

   To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

   Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

   For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

3. Set URL to the connection string, e.g., jdbc:amazons3:AccessKey=a123;SecretKey=s123;
4. Click "Apply" and "OK" to save the connection string

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against Amazon S3

To browse through the Amazon S3 entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example: SELECT Name, OwnerId FROM ObjectsACL WHERE Name = 'TestBucket'

Download a free, 30-day trial of the CData JDBC Driver for Amazon S3 and start working with your live Amazon S3 data in DataGrip. Reach out to our Support Team if you have any questions.