AWS athena documentation change
Summary
Removed sentence about Athena saving query results to a specified location and viewing/downloading results
Security assessment
The change removes general operational information about query result storage but does not address security vulnerabilities or introduce security-related content. No evidence of security fixes or exposure risks in the removed text.
Diff
diff --git a/athena/latest/ug/querying-athena-tables.md b/athena/latest/ug/querying-athena-tables.md index 029c1353c..34d87d0ef 100644 --- a//athena/latest/ug/querying-athena-tables.md +++ b//athena/latest/ug/querying-athena-tables.md @@ -7 +7 @@ -You can run SQL queries using Amazon Athena on data sources that are registered with the AWS 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](./work-with-data-stores.html). 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. When you run a query, Athena saves the results of a query in a query result location that you specify. This allows you to view query history and to download and view query results sets. +You can run SQL queries using Amazon Athena on data sources that are registered with the AWS 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](./work-with-data-stores.html). 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.