Session error status code 430

[syl-ade]

Hi all, 

I keep getting the same error:

[TooManyRequestsForCapacity] This spark job can't be run because you have hit a spark compute or API rate limit. To run this spark job, cancel an active Spark job through the Monitoring hub, choose a larger capacity SKU, or try again later. HTTP status code: 430 {Learn more} HTTP status code: 430.

I have no active Spark jobs in my capacity. 

Diagnostics:

{
  "timestamp": "2025-10-20T11:04:02.439Z",
  "transientCorrelation": "87ea6ece-dcb8-4ff1-85e2-55054972e4b1",
  "aznb": {
    "version": "1.6.124"
  },
  "notebook": {
    "notebookName": "Notebook 3",
    "instanceId": "e63f1378-ab9f-4f2a-8c8a-c2820afbaaa7",
    "documentId": "trident-w-94f8beea-a952-4fe6-8a3d-3c08e04019c7-a-21cefa3b-fc8f-46c6-9b58-ea22fd13b105",
    "workspaceId": "94f8beea-a952-4fe6-8a3d-3c08e04019c7",
    "kernelId": "d3e0e33a-2beb-41ab-9bba-8ce45e7f49be",
    "clientSessionId": "1b0157ce-9d6e-4746-a42f-00f917513c60",
    "kernelState": "not connected",
    "computeUrl": "https://927aa90fa114475394349df55fe653be.pbidedicated.windows.net/webapi/capacities/927AA90F-A114-4753-9434-9DF55FE653BE/workloads/Notebook/Data/Direct/api/workspaces/94f8beea-a952-4fe6-8a3d-3c08e04019c7/artifacts/21cefa3b-fc8f-46c6-9b58-ea22fd13b105/jupyterApi/versions/1",
    "computeState": "connected",
    "collaborationStatus": "offline / joined",
    "isSaveLeader": false
  },
  "synapseController": {
    "id": "e63f1378-ab9f-4f2a-8c8a-c2820afbaaa7:snc1",
    "enabled": true,
    "activeKernelHandler": "sparkLivy",
    "kernelMetadata": {
      "kernel": "synapse_pyspark",
      "language": "python"
    },
    "state": "error",
    "sessionId": "0a4fabaf-f7f2-4529-aee5-6631cfb90971",
    "applicationId": null,
    "applicationName": "",
    "sessionErrors": [
      "[TooManyRequestsForCapacity] This spark job can't be run because you have hit a spark compute or API rate limit. To run this spark job, cancel an active Spark job through the Monitoring hub, choose a larger capacity SKU, or try again later. HTTP status code: 430 {Learn more} HTTP status code: 430."
    ]
  }
}

What can I do to succesfully start a session?

[tayloramy]

Hi @syl-ade, 

It appears that your capacity is at its limit. Check the Capacity Metrics App and see what is using all the capacity. If there's nothing that can be turned off or optimized, it may be time to upgrade your capacity. 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

[syl-ade]

Thanks, but Capacity Metrics does not work properly.

Anyway... I do not have any Spark Sessions currently running.

[tayloramy]

Hi @syl-ade, 

When the capacity reaches its limit, it usually has been over extended for a while and takes a while to burndown before it is usable again. 

see Understand your Fabric capacity throttling - Microsoft Fabric | Microsoft Learn

In capacity metrics app, ensure you have your capacity selected and the semantic model has refreshed. 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

[rohit1991 · Accepted solution]

Hi @syl-ade 

1. Check for active Spark sessions:

• Go to Monitoring Hub - Spark tab.

• End or cancel any running sessions. Even if you think none are active, check once - some sessions stay open in the background.

2. Wait a few minutes:

• After stopping sessions, wait 5–10 minutes.

• Spark sometimes keeps resources busy for a short time after a job ends.

3. Restart the notebook:

• Close your current notebook.

• Reopen it and run the first cell again - this starts a new, clean Spark session.

4. Check capacity limits:

• If the error still appears, your workspace is at its capacity limit (SKU).

• Contact your admin to increase Fabric capacity or use a higher SKU.

5. Try again later if needed:

• When other users’ Spark jobs finish, your capacity frees up automatically.

• Then you can start your session without issues.