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articles/synapse-analytics/spark/apache-spark-development-using-notebooks.md

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@@ -3,7 +3,7 @@ title: Create, develop, and maintain Synapse notebooks
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description: In this article, you learn how to create and develop Synapse notebooks to do data preparation and visualization.
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services: synapse analytics
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author: JeneZhang
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ms.service: synapse-analytics
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ms.service: azure-synapse-analytics
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ms.topic: conceptual
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ms.subservice: spark
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ms.date: 05/08/2021
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![Screenshot of the button for canceling all running or waiting cells in a Synapse notebook.](./media/apache-spark-development-using-notebooks/synapse-aznb-cancel-all.png)
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### Reference a notebook
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### <a name = "notebook-reference"></a>Reference a notebook
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To reference another notebook within the current notebook's context, use the `%run <notebook path>` magic command. All the variables defined in the reference notebook are available in the current notebook.
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![Screenshot of the Spark progress indicator in a Synapse notebook.](./media/apache-spark-development-using-notebooks/synapse-spark-progress-indicator.png)
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### Configure a Spark session
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### <a name = "spark-session-configuration"></a>Configure a Spark session
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On the **Configure session** pane, you can specify the timeout duration, the number, and the size of executors to give to the current Spark session. Restart the Spark session for configuration changes to take effect. All cached notebook variables are cleared.
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* You must use the standard Spark configuration properties in the `"conf"` body. We don't support first-level references for the Spark configuration properties.
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* Some special Spark properties won't take effect in `"conf"` body, including `"spark.driver.cores"`, `"spark.executor.cores"`, `"spark.driver.memory"`, `"spark.executor.memory"`, and `"spark.executor.instances"`.
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#### Parameterized session configuration from a pipeline
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#### <a name = "parameterized-session-configuration-from-pipeline"></a>Parameterized session configuration from a pipeline
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You can use parameterized session configuration to replace values in the `%%configure` magic command with pipeline run (notebook activity) parameters. When you're preparing a `%%configure` code cell, you can override default values by using an object like this:
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![Screenshot of Synapse notebook properties and the checkbox for including cell output when saving.](./media/apache-spark-development-using-notebooks/synapse-notebook-properties.png)
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## Use magic commands
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## <a name = "magic-commands"></a>Use magic commands
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You can use familiar Jupyter magic commands in Synapse notebooks. Review the following lists of currently available magic commands. Tell us [your use cases on GitHub](https://github.com/MicrosoftDocs/azure-docs/issues/new) so that we can continue to create more magic commands to meet your needs.
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articles/synapse-analytics/sql/author-sql-script.md

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title: SQL scripts in Synapse Studio
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description: Get an introduction to Synapse Studio SQL scripts in Azure Synapse Analytics.
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author: pimorano
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ms.service: synapse-analytics
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ms.service: azure-synapse-analytics
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ms.subservice: sql
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ms.topic: conceptual
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ms.date: 04/15/2020

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