Regarding data ingestion into the databricks

Question

I pushed my dataset into Azure Event Hub, and I am trying to ingest that data into the Bronze layer that I created in Azure Database Zen2 using Databricks. However, I am unable to complete the ingestion. I keep encountering different errors during the streaming process, including:

ERROR: Some streams terminated before this command could finish

java.lang.IllegalArgumentException: Input byte array has wrong 4-byte ending unit

kafkashaded.org.apache.kafka.common.KafkaException: Failed to create new KafkaAdminClient

I am not sure whether the issue is related to the Event Hub configuration, connection string, or Databricks runtime compatibility. Any guidance on how to resolve these errors and properly ingest data from Event Hub into the Bronze layer would be greatly appreciated.

Answer 1

To resolve the issues you're encountering while ingesting data from Azure Event Hub into the Bronze layer in Azure Databricks, consider the following steps:

1. Check Event Hub Configuration: Ensure that your Event Hub is correctly configured. Verify that the connection string, including the Event Hub name, shared access key, and other parameters, are correct. Misconfigurations can lead to connection issues.
2. KafkaAdminClient Error: The error kafkashaded.org.apache.kafka.common.KafkaException: Failed to create new KafkaAdminClient might indicate that the authentication details (like Client ID, Tenant ID, or Event Hubs server) are incorrect. Double-check these values to ensure they are accurate.
3. Input Byte Array Error: The error java.lang.IllegalArgumentException: Input byte array has wrong 4-byte ending unit could suggest a problem with the data format being ingested. Ensure that the data being sent to Event Hub is in the expected format and that there are no corrupt records.
4. Stream Termination: The message Some streams terminated before this command could finish indicates that there may be issues with the streaming setup. Ensure that the streaming options are correctly configured and that the Databricks runtime supports the features you are using.
5. Databricks Runtime Compatibility: Make sure that the Databricks runtime version you are using is compatible with the features you are trying to implement. If necessary, consider upgrading to a newer version that may have better support for streaming from Event Hubs.
6. Error Handling: Implement error handling in your streaming logic to capture and log errors effectively. This can help you identify the specific conditions under which the errors occur.

By addressing these areas, you should be able to troubleshoot and resolve the errors you are facing during the data ingestion process into the Bronze layer.