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Loop through a list using pySpark for your Azure Synapse Pipelines
Azure Analytics
Apr 22, 2023 8:00 PM

Loop through a list using pySpark for your Azure Synapse Pipelines

by HubSite 365 about Guy in a Cube

Data AnalyticsAzure AnalyticsM365 Hot News

Curious how to loop through files using pySpark? Patrick walks through how he did it for use within his Azure Synapse Analytics Pipelines and Notebooks.

Curious how to loop through files using pySpark? Patrick walks through how he did it for use within his Azure Synapse Analytics Pipelines and Notebooks.

Looping through a list using PySpark

Looping through a list using PySpark in Azure Synapse Pipelines is a great way to process large datasets. PySpark allows you to do so in a distributed manner, meaning that your dataset is split up and processed on multiple nodes in the Azure Synapse cluster. This makes processing more efficient and faster. To loop through a list using PySpark, you will need to use the for loop statement. This statement allows you to iterate through each item in the list and perform the necessary operations. Additionally, you can also use mappartitions, map, and flatMap to loop through the list and perform the necessary operations.

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