Athena Federated Queries
1. Introduction
AWS Athena Federated Queries allows you to query data from multiple sources using SQL. This capability enhances the analytical power of AWS Athena by enabling the integration of various data stores such as relational databases, NoSQL databases, and other data lakes.
2. Key Concepts
What is Athena?
AWS Athena is a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
Federated Queries
Federated Queries allow AWS Athena to execute SQL queries across different data sources, combining results into a single response.
Data Sources
Athena supports various data sources including:
- Amazon RDS
- Amazon Redshift
- Other JDBC-compliant databases
3. Step-by-Step Process
Follow these steps to set up and execute a federated query in AWS Athena:
- Set up a data source connector. This can be done using AWS Glue or by creating a custom connector.
- Configure IAM roles to allow Athena to access the data source.
- Define the schema in AWS Glue Data Catalog.
- Write and execute your SQL query in Athena.
Example SQL Query
SELECT * FROM "my_database"."my_table"
UNION ALL
SELECT * FROM "external_source"."external_table";
4. Best Practices
- Use partitioning to improve query performance.
- Optimize your data formats; Parquet and ORC formats are recommended.
- Regularly monitor and tune your federated queries for performance.
5. FAQ
What types of data sources can be queried with Athena Federated Queries?
Athena can query data from various sources including Amazon RDS, Amazon Redshift, and other JDBC-compliant databases.
Is there any cost associated with Federated Queries?
Yes, you incur costs based on the amount of data scanned by Athena, which varies by the complexity of your queries.
Can I use custom data connectors?
Yes, you can create custom connectors to access other data sources not natively supported by Athena.