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gmangiante's avatar
gmangiante
Frequent Visitor
2 years ago
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Maintaining notebook Spark session within pipeline

Hello - I'm working on building a Fabric Pipeline that uses multiple PySpark notebooks within its flow. I'm noticing that, although the notebooks run pretty quickly on their own, they take at least a...
  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi gmangiante ,

    You are right. Each notebook step would start a new Spark session.

    We do have a plan to enable session sharing across pipeline steps with high concurrency for pipelines which would allow you to reuse sessions and avoid additional delays.

    The ETA for the deployment is planned for this semester and is currently in design phase . Stay tuned for more updates.

    Appreciate your patience.

     

    Hope this helps. Please let us know if you have any further questions. Glad to help.