![]() Step 5: Explore a summary of the Redshift role with Query Editor v2 with full access:Īn overview in JSON describes the level of access and permissions provided by the IAM policy for Amazon Redshift Query Editor v2 with full access to operations and resources including sharing a sql query with the line entry of sqlworkbench: ![]() The necessary role is Query Editor V2 with Full Access Step 4: To troubleshoot, refer to the Amazon Redshift Developer Guide to browse the correct Redshift IAM policy to enable you to have the required permissions to share SQL queries with your team To share a query with your team you will need to have principal tag on'SQLworkbench team' added to your user or role. You may notice an error message when you try to share a SQL query. Right-click on the square and click 'Share with my team'. Step 3: Go to Queries and view your saved SQL query. In this example, I have data stored in a Redshift cluster and after clicking 'Query in Query Editor v2' I connect to the dev database. Here I will show you how you can achieve this using Amazon Redshift Query Editor 2. You have thought about writing a SQL script and sharing it with them so they can run the query while you are away. Just say you are about to go on vacation, but you need to continue reporting for the end of year, you have to train your team mate and show them how to automate the data extraction process. How to share your SQL queries using Amazon Redshift? Using the COPY command data was loaded into the Amazon Redshift cluster.Amazon Redshift cluster that was previously created with one node.To re-cap from the last tutorial, previously the following areas were explored including: In this tutorial,if you have been following along from the last three Amazon Redshift tutorials we will continue using this 2 month free trial and the dev database. We recommend you deploy the Amazon EC2 instance in the same Region with the Amazon Redshift cluster to reduce connection latency while performing the SQL statement commands.As you and your team create advanced queries and especially this time of the year you may go on vacation, you might just need to share your SQL queries within Amazon Redshift using Query Editor v2 with your team who are still working over the new year period. Changing to build process details with buildspec.yml, a collection of build commands and related settings in YAML format.Adding configuration for the Jenkins job build with a Jenkinsfile, a text file that contains the definition of a Jenkins Pipeline, and is checked into source control.Customizing the Docker build (inject any additional libraries and dependencies) by using Dockerfile, a text document that contains all the commands a user could call on the command line to assemble an image.Creating different Amazon Redshift clusters and running SQL scripts, such as changing the INI files.To experiment with this Guidance and optimize it based on your data, you can deploy this Guidance with an AWS CloudFormation template and experiment with: The services in this Guidance are built and meet the functional capabilities needed to deploy this Guidance's best practices.
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