Annotations in Synapse Spark Configuration

[PKPublicCode]

Could you please describe on this page (or add link) what are the annotations in "spark configuration" and what are they used for? Thanks.

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• ID: ab637373-71e0-ef91-db1b-2f9d4141a93c
• Version Independent ID: fa643994-52c8-0c94-4438-05ad4b17e9d7
• Content: Manage Apache Spark configuration - Azure Synapse Analytics
• Content Source: articles/synapse-analytics/spark/apache-spark-azure-create-spark-configuration.md
• Service: synapse-analytics
• Sub-service: spark
• GitHub Login: @Jejiang
• Microsoft Alias: jejiang

[ManoharLakkoju-MSFT]

@PKPublicCode Thanks for your feedback! We will investigate and update as appropriate.

[RamanathanChinnappan-MSFT]

@PKPublicCode The annotations in Spark configuration are used to provide additional information about the configuration properties. They are used to help users understand the purpose of the configuration property and how it should be used.

For example, the spark.sql.shuffle.partitions configuration property specifies the number of partitions to use when shuffling data for joins or aggregations. The annotation for this property explains that the default value is 200, and that it should be set to a larger value for larger clusters or larger data sets.

You can find more information about Spark configuration properties and annotations in the official Apache Spark documentation: https://spark.apache.org/docs/latest/configuration.html We are going to close this thread .if there are any further questions regarding the documentation, please tag me in your reply and we will be happy to continue the conversation.