AWS Redshift does not have a native REST, GraphQL, or SOAP API. However, there are a few options for accessing Redshift data via APIs:
The Redshift Data API provides a secure HTTP endpoint to run SQL statements without managing database connections. Key points about the Redshift Data API:
However, this is not a true REST API - it's a custom API for running SQL queries against Redshift.
Several sources suggest building a custom API layer on top of Redshift:
Redshift uses a PostgreSQL-compatible API for direct database access, but this is not a REST or web service API.
In summary, AWS Redshift does not have a native REST, GraphQL or SOAP API. The closest option is the Redshift Data API, which provides programmatic access but is not a standard REST API. For a true REST API, you would need to build a custom solution using services like API Gateway and Lambda or implement your own API layer.
AWS Redshift does not have webhooks, but it does offer event notifications through Amazon Simple Notification Service (Amazon SNS).
You can create event notification subscriptions to be notified when events occur for a given cluster, snapshot, security group, or parameter group.
You can subscribe to various types of events, including:
Source type events:
Event categories:
Event severities:
To create an event subscription:
You can only create event subscriptions to Amazon SNS standard topics, not FIFO topics.
Billing for Amazon Redshift event notifications is through Amazon SNS.
You can view events that have occurred using the AWS Management Console, Amazon Redshift API, or AWS SDKs.
Event notifications can be sent in various forms supported by Amazon SNS, such as email, text message, or HTTP endpoint calls.
The Amazon Redshift API provides several operations for managing event subscriptions:
In summary, while AWS Redshift doesn't offer webhooks, it provides a robust event notification system through Amazon SNS. This system allows you to subscribe to various types of events and receive notifications through different channels.
Based on the search results provided, here are the key points regarding API Rate Limits for the AWS Redshift API:
The AWS Redshift Data API has specific TPS limits for different API operations [2]:
These limits are not adjustable and represent the maximum number of operation requests you can make per second without being throttled [2].
If the rate of requests exceeds the quota for any API, a ThrottlingException with HTTP Status Code 400 is returned [1]. To handle throttling:
While not strictly API rate limits, there are other important limitations to consider when using the Redshift Data API:
ClientToken idempotency parameter in Redshift Data API calls to handle retries [1].It's important to note that these limits are specific to the Redshift Data API. For JDBC connections, different limitations may apply, but specific details were not provided in the search results [3].
Based on the search results provided, the most recent version of the AWS Redshift API appears to be:
1.0.69451 - Released on June 18, 2024
This is listed as the "Current track version" in the Amazon Redshift patch 181 section of Source 1. It is the most recent version mentioned across all the search results.
Key points to consider:
Amazon Redshift releases new cluster versions periodically to update clusters with new features and improvements [2].
There are separate versions for Amazon Redshift provisioned clusters and Amazon Redshift Serverless [2].
The version numbers follow a format of 1.0.XXXXX, where XXXXX is an incrementing number [2].
The most recent versions are typically listed at the top of the cluster version history in the documentation [2].
The API version is separate from the cluster software version, but they are typically updated together.
Best practices:
Always check the official AWS documentation for the most up-to-date version information, as it can change frequently.
When developing applications, use the latest stable API version to ensure access to the newest features and improvements.
Be aware of any breaking changes or deprecations when upgrading to a new API version.
Test your applications thoroughly when moving to a new API version to ensure compatibility.
To get a developer account for AWS Redshift and create an API integration, you'll need to follow these steps:
If you don't already have an AWS account, sign up for one at aws.amazon.com.
Once you have an AWS account, you'll have access to AWS Redshift and other AWS services.
Create an IAM user or role with the necessary permissions to access Redshift and the Data API.
Attach the AmazonRedshiftDataFullAccess managed policy to the IAM user/role to grant full access to the Redshift Data API.
If using AWS Secrets Manager for authentication, ensure the policy allows the secretsmanager:GetSecretValue action.
Set up a Redshift cluster in your AWS account if you haven't already.
Make note of the cluster identifier, database name, and user credentials.
The Redshift Data API doesn't require any additional setup - it's automatically available once you have a Redshift cluster.
You can start using the Data API through the AWS SDK in your preferred programming language.
Choose your preferred programming language and install the AWS SDK for that language.
Use the SDK to make calls to the Redshift Data API. For example, in Python using boto3:
import boto3 client = boto3.client('redshift-data') response = client.execute_statement( ClusterIdentifier='my-redshift-cluster', Database='dev', DbUser='awsuser', Sql='SELECT * FROM my_table' )
Based on the search results provided, here are the key data models and capabilities you can interact with using the AWS Redshift API:
aws redshift-data command [3]Key capabilities for each model include running SQL queries, training ML models, executing asynchronous API calls, querying data lakes, integrating diverse data sources, and managing security - all through Redshift's interfaces and APIs.
