11/25/2023 0 Comments Amazon redshift vs dynamodbAn AWS account that provides access to AWS services.Prerequisitesīefore creating your development environment, you must have the following prerequisites: ![]() Because connectors run in Lambda, you can use them to access data from any data source in the cloud or on premises that is accessible from Lambda. Connectors use Apache Arrow as the format for returning data requested in a query, which enables connectors to be implemented in languages such as C, C++, Java, Python, and Rust. Based on the user submitting the query, connectors can provide or restrict access to specific data elements. When a query is submitted against a data source, Athena invokes the corresponding connector to identify parts of the tables that need to be read, manages parallelism, and pushes down filter predicates. You can combine SQL statements from multiple catalogs and span multiple data sources with a single query. After you deploy data source connectors, the connector is associated with a catalog name that you can specify in your SQL queries. You can also use the Athena Query Federation SDK to write custom connectors. Prebuilt Athena data source connectors exist for data sources like Amazon CloudWatch Logs, Amazon DynamoDB, Amazon DocumentDB (with MongoDB compatibility), Amazon OpenSearch Service, Amazon ElastiCache for Redis, and JDBC-compliant relational data sources such as MySQL, PostgreSQL, and Amazon Redshift under the Apache 2.0 license. You can think of a connector as an extension of the Athena query engine. A data source connector is a piece of code that translates between your target data source and Athena. Athena Federated QueryĪthena uses data source connectors that run on AWS Lambda to run federated queries. The goal for this post is to discuss how we can use different connectors to run federated queries with complex joins across different data sources with Athena and visualize the data with Amazon QuickSight. ![]() Athena queries including federated queries can be run from the Athena console, a JDBC or ODBC connection, the Athena API, the Athena CLI, the AWS SDK, or AWS Tools for Windows PowerShell. With Athena Federated Query, you can run SQL queries across data stored in relational, non-relational, object, and custom data sources. You can use federated queries in Athena to query the data in place or build pipelines that extract data from multiple data sources and store them in Amazon S3. Amazon Athena now supports federated query, a feature that allows you to query data in sources other than Amazon Simple Storage Service (Amazon S3).
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