Select Language:
If you’re having trouble creating an HDInsight 5.1 cluster in the US EAST 2 region, you’re not alone. Many users encounter an error message that says “FailedToPrepareClusterDocumentsErrorCode,” and the deployment doesn’t go through. Here’s a simple guide to help you understand and fix the issue.
First, double-check your resource quotas in the region where you’re trying to deploy. Even if it looks like you have enough resources, it’s good to be sure. In your case, you have 16 out of 86 total regional vCPUs used, and no vCPUs allocated to HDInsight or the specific VM families you might need. This indicates enough capacity, but it’s worth confirming that your planned cluster won’t exceed these limits.
Next, review the instance types you’re selecting for your cluster nodes. Start with smaller, more common VM sizes like Standard Dv3 or Ev3, as these are usually easier to allocate. Also, make sure you’re choosing the correct instance types for different roles in your cluster, such as zookeeper nodes or worker nodes. Trying multiple configurations can sometimes help find one that fits within quotas.
Make sure your cluster isn’t connected to any existing virtual network unless it’s necessary for your setup. Sometimes, network configurations can lead to deployment errors that aren’t obvious at first glance.
Remember that your team has previously tried deploying HDInsight 4.0 successfully, but recent attempts with 5.1 have failed. If you’ve had similar issues in the past, it might be good to consider that regional capacity or other Azure service limitations could be affecting your deployment.
A good troubleshooting step is to keep an eye on the Azure portal and review any additional error details provided during deployment. Sometimes, trying to deploy during off-peak hours can also improve your chances if regional capacity is constrained.
If you continue to face issues, consider reaching out to support or checking online forums for specific insights related to HDInsight deployment errors in your region. Often, others have experienced similar problems and can offer practical solutions.
Remember, patience and careful resource planning are key. Adjust your VM types, verify quotas, and try again during different times. With a little troubleshooting, you should be able to deploy your HDInsight cluster successfully.
ChatGPT
Perplexity
Gemini AI
Grok AI
