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Dharma25

Hello,I am running strucutred streaming pipeline with 5 models loaded using pyfunc.spark_udf. Lately we have been noticing very strange issue of tasks getting hanged and batch is taking very long time finishing its execution.CPU utilization is around...

Dharma25 · 05-06-2025

Exception: mlflow.exceptions.MlflowException: An API request to https://canada.cloud.databricks.com/api/2.0/mlflow/model-versions/list-artifacts failed due to a timeout. The error message was: HTTPSConnectionPool(host='canada.cloud.databricks.com', p...

Dharma25 · 05-01-2025

Exception: mlflow.exceptions.MlflowException: An API request to https://canada.cloud.databricks.com/api/2.0/mlflow/model-versions/list-artifacts failed due to a timeout. The error message was: HTTPSConnectionPool(host='canada.cloud.databricks.com', p...

Dharma25

Thank you very much for your recommendations.Additionally, I noticed that each executor typically has 32 active tasks by default. However, when looking at the test execution summary tab under the DAG for various stages, it displays 300 tasks.Moreover...

Dharma25 · 05-16-2025

Thanks for the answer. I will try this solution 

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Task Hanging issue on DBR 15.4

workflow not pickingup correct host value (While working with MLflow model registry URI)

workflow not pickingup correct host value (While working with MLflow model registry URI)

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