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  1. 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.

  2. docs.aws.amazon.com › athena › latestSELECT - Amazon Athena

    To see the Amazon S3 file location for the data in a table row, you can use "$path" in a SELECT query, as in the following example: SELECT "$path" FROM "my_database"."my_table" WHERE year=2019; This returns a result like the following:

  3. For more information about creating tables in Athena and an example CREATE TABLE statement, see Create tables in Athena. For an example of creating a database, creating a table, and running a SELECT query on the table in Athena, see Get started.

  4. Sep 13, 2024 · Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. With a few actions in the AWS Management Console, you can point Athena at your data stored in Amazon S3 and begin using standard SQL to run ad-hoc queries and get results in seconds.

  5. Create tables in Athena - Amazon Athena. PDF RSS. To create tables, you can run DDL statements in the Athena console, use the Athena Create table form, or use a JDBC or an ODBC driver. Athena uses Apache Hive to define tables and create databases, which are essentially a logical namespace of tables.

  6. A CREATE TABLE AS SELECT (CTAS) query in Athena allows you to create a new table from the results of a query in one step, without repeatedly querying raw data sets.

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  8. Use the Athena console to run the Create Table Wizard. Use the Athena console to write Hive DDL statements in the Query Editor. Use the Athena API or CLI to run a SQL query string with DDL statements. Use the Athena JDBC or ODBC driver.