I advise you to test and if your tests show any advantage. What happens if you still want to reuse the Synapse thread pool scripts in Fabric? Can you? Yes, you can. Here you have the Lakehouse and notebook code. In my Lakehouse example, I name it SQLDB_Synapse.įrom the Lakehouse create a new notebook by selecting New notebook. Next, let us create a Lakehouse and add a new notebook to run the code and fulfill the requirements. Considering the notable impact it has on execution time, it is strongly recommended to keep this setting enabled, as it is set to the default configuration.īack to our scenario solution. The difference in performance is significant, with the notebooks taking twice as long to execute when this setting is turned off. I tested the difference in execution with and without the setting. You just need to go Workspace > Workspace Settings and check that High Concurrency is set to On: Hence, you do not need the thread pool anymore, which is very cool! However, when working with Fabric, you already have a configuration in place that facilitates parallel execution of notebooks by reusing the same session and fairly distributing executors. Usually in Synapse, we recommend that customers use thread pool which is an abstract of the executor class and it enables them to reuse the same session across multiple notebooks in parallel. Assuming you already have at least one workspace created, let’s explore how to adapt notebook scripts originally developed for Synapse and seamlessly utilize them in the Fabric environment. These tutorials guide you through a scenario that covers the entire process, from data acquisition to data consumption in Fabric. Essential tips for exporting and cleaning data with SparkĬheck out End-to-end tutorials in Microsoft Fabric.MSSparkUtils is the Swiss Army knife inside Synapse Spark.I am reusing part of those 2 blogs scripts and adapting to the feature existing on Fabric. Data must be exported in parallel and saved in parquet format. Scenario: Export Data from Azure SQL Database into OneLake. The purpose of reusing these scripts is to demonstrate how easily you can implement the same logic you already have in your Synapse environment in various scenarios. As part of this series, I will incorporate some scripts that were initially developed for the Synapse experience on Fabric. I plan to develop a post series covering Fabric from an end-to-end perspective. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.” As defined by the learn doc, What is Microsoft Fabric: “Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. Fabric changed the game for analytics with more integration and enhancements for the analytics platform.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |