AWS athena documentation change
Summary
Updated quota documentation to clarify default values, add a new 'On-Demand DPUs' quota entry, and adjust terminology from 'notebook APIs' to 'Spark APIs'.
Security assessment
Changes focus on service quota clarifications and terminology updates, with no direct security implications or security feature additions.
Diff
diff --git a/athena/latest/ug/notebooks-spark-quotas.md b/athena/latest/ug/notebooks-spark-quotas.md index ea565fbbf..2a1d84194 100644 --- a//athena/latest/ug/notebooks-spark-quotas.md +++ b//athena/latest/ug/notebooks-spark-quotas.md @@ -11 +11 @@ -New AWS accounts might have initial lower quotas that can increase over time. Amazon Athena for Apache Spark monitors account usage within each AWS Region, and then automatically increases the quotas based on your usage. If your requirements exceed the stated limits, contact customer support. +The default values are the initial quotas set by AWS, which are separate from the actual applied quota value and maximum possible service quota. New AWS accounts might have initial lower quotas that can increase over time. Amazon Athena for Apache Spark monitors account usage within each AWS Region, and then automatically increases the quotas based on your usage. If your requirements exceed the stated limits, contact customer support. @@ -15,4 +15,5 @@ The following table lists the service quotas for Amazon Athena for Apache Spark. -Name | Default | Adjustable | Description ----|---|---|--- -Apache Spark DPU concurrency | 160 | No | The maximum number of data processing units (DPUs) that you can consume concurrently for Apache Spark calculations for a single account in the current AWS Region. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. -Apache Spark session DPU concurrency | 60 | No | The maximum number of DPUs you can consume concurrently for an Apache Spark calculation within a session. +Name | Default | Adjustable | Version | Description +---|---|---|---|--- +Apache Spark DPU concurrency | 160 | No | PySpark Version 3 | The maximum number of data processing units (DPUs) that you can consume concurrently for Apache Spark calculations for a single account in the current AWS Region. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. +Apache Spark session DPU concurrency | 60 | No | PySpark Version 3 | The maximum number of DPUs you can consume concurrently for an Apache Spark calculation within a session. +On-Demand DPUs | 4 | No | Apache Spark Version 3.5 | The maximum number of data processing units (DPUs) that you can consume concurrently for Apache Spark interactive sessions in the current AWS Region. @@ -28 +29 @@ Cross-account catalog access -Athena notebook APIs +Athena Spark APIs