AWS prescriptive-guidance documentation change
Summary
Formatting changes for notes, capitalization fix ('DataFrames' to 'Dataframes'), and updated image path
Security assessment
Cosmetic and formatting improvements only. No security-related content modifications.
Diff
diff --git a/prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-spark.md b/prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-spark.md index 6b5aa1259..025cc5763 100644 --- a//prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-spark.md +++ b//prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-spark.md @@ -13 +13,3 @@ This section provides an overview of using Apache Spark to interact with Iceberg -Note: The primary interface for interacting with Iceberg tables is SQL, so most of the examples will combine Spark SQL with the DataFrames API. +###### Note + +The primary interface for interacting with Iceberg tables is SQL, so most of the examples will combine Spark SQL with the DataFrames API. @@ -80 +82 @@ Starting with Iceberg 1.5.0, `hash` write distribution mode is the default when -### Using the DataFrames API +### Using the Dataframes API @@ -226 +228,3 @@ You can also use Iceberg snapshots to read appended data incrementally. -Note: Currently, this operation supports reading data from `append` snapshots. It doesn't support fetching data from operations such as `replace`, `overwrite`, or `delete`. Additionally, incremental read operations aren't supported in the Spark SQL syntax. +###### Note + +Currently, this operation supports reading data from `append` snapshots. It doesn't support fetching data from operations such as `replace`, `overwrite`, or `delete`. Additionally, incremental read operations aren't supported in the Spark SQL syntax. @@ -257 +261 @@ Sample output: - +