Repeated "Support for Synapse 3.4 ended on 31 March 2026" emails

Ross Lyons 20 Reputation points
2026-07-21T13:33:52.5266667+00:00

Hi,

I am repeatedly receiving emails regarding the end up support for Synapse Runtime for Apache Spark 3.4. Each email has a list of workspaces I assume is meant to be the affected resources.

I have checked these Synapse Workspaces and all associated Spark pools have version 3.5 as shown below, found via Azure Portal -> Synapse Workspace -> Apache Spark Pools -> Properties (for an individual Spark Pool):

User's image

Going off this, is no further action required despite the emails?

Azure Synapse Analytics
Azure Synapse Analytics

An Azure analytics service that brings together data integration, enterprise data warehousing, and big data analytics. Previously known as Azure SQL Data Warehouse.

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Answer accepted by question author

Jose Benjamin Solis Nolasco 9,891 Reputation points Volunteer Moderator
2026-07-21T16:40:01.0666667+00:00

Welcome to Microsoft Q&A

Hello @Ross Lyons , I hope you are doing well.

If all of your Synapse Spark pools are already running Apache Spark 3.5, as shown in your screenshot, then no further action should be required regarding the retirement of Spark 3.4.

It is possible that the notification is based on historical telemetry or inventory data that has not yet been updated. As a quick verification, I recommend checking that all Spark pools in every workspace listed in the email are using Spark 3.5 and that there are no remaining Spark 3.4 pools.

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  1. AI answer

    2026-07-21T13:34:20.7766667+00:00

    If all Spark pools in those Synapse workspaces are already on Apache Spark 3.5, the required migration action for Spark 3.4 is complete.

    Key points:

    1. Spark 3.4 is deprecated and reaches end of support on March 31, 2026.
    2. The recommended supported target runtime is Azure Synapse Runtime for Apache Spark 3.5 (GA).
    3. Spark pool runtime versions cannot be upgraded in place. The supported path is to create new 3.5 pools, validate workloads, update references, and then retire the old 3.4 pools.
    4. After the end-of-support date, retired runtime versions can no longer run pipelines, jobs, or notebooks.

    Based on the described portal check, no further runtime upgrade action is required for those pools if:

    • every Spark pool in each listed workspace is on 3.5
    • notebooks, pipelines, and jobs are using the 3.5 pools rather than any older pool definitions
    • no remaining Spark 3.4 pool definitions exist in those workspaces

    A practical validation path is:

    1. In each Synapse workspace, open Manage → Apache Spark pools and confirm every pool shows version 3.5.
    2. Check notebooks, pipelines, and batch jobs to ensure they reference the new 3.5 pools.
    3. Remove any leftover 3.4 pools after validation, so there are no stale pool definitions that could still be flagged.

    The repeated emails can still occur if the notification system is based on previously detected 3.4 usage or stale resource inventory. The supported state to aim for is that all active and referenced Spark pools are on 3.5.

    References:

    AI-generated content may be incorrect. Read our transparency notes for more information.

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