Run SQL queries in Amazon Athena - Amazon Athena
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Run SQL queries in Amazon Athena

You can run SQL queries using Amazon Athena on data sources that are registered with the Amazon Glue Data Catalog and data sources such as Hive metastores and Amazon DocumentDB instances that you connect to using the Athena Federated Query feature. For more information about working with data sources, see Connect to data sources. When you run a Data Definition Language (DDL) query that modifies schema, Athena writes the metadata to the metastore associated with the data source. In addition, some queries, such as CREATE TABLE AS and INSERT INTO can write records to the dataset—for example, adding a CSV record to an Amazon S3 location.

This section provides guidance for running Athena queries on common data sources and data types using a variety of SQL statements. General guidance is provided for working with common structures and operators—for example, working with arrays, concatenating, filtering, flattening, and sorting. Other examples include queries for data in tables with nested structures and maps, tables based on JSON-encoded datasets, and datasets associated with Amazon Web Services services such as Amazon CloudTrail logs and Amazon EMR logs. Comprehensive coverage of standard SQL usage is beyond the scope of this documentation. For more information about SQL, refer to the Trino and Presto language references.

Topics

For considerations and limitations, see Considerations and limitations for SQL queries in Amazon Athena.