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Hello! We are integrating with Databricks and we get the API key, workspace ID, and host from our users in order to connect to Databricks. We need the to validate the workspace ID because we do need it outside of the context of the API key (with webh...
Hi mates!I'n my company, we are moving our pipelines to Databricks bundles, our pipelines use a notebook that receives some parameters.This notebook uses a custom python package to apply the business logic based on the parameters that receive.The thi...
Hi All,I am trying to run commands with ipywidgets but it just says :Loading widget...Same error occurs even when I re run the cell.DataBricks version used : 14.2
Hi All,I have installed the following libraries on my cluster (11.3 LTS that includes Apache Spark 3.3.0, Scala 2.12):numpy==1.21.4flair==0.12 ‎on executing `from flair.models import TextClassifier`, I get the following error:"numpy.ndarray size chan...
You have changed the numpy version, and presumably that is not compatible with other libraries in the runtime. If flair requires later numpy, then use a later DBR runtime for best results, which already has later numpy versions
Dear Community Members -I am trying to deploy a workflow using DAB. After deploying if I am updating the same workflow with different bundle name it is creating a new workflow instead of updating the existing workflow. Also when I am trying to use sa...
I want to restore the committed changes (before and after view) in my branch. As this pull request was abandoned in Azure DevOps, then the branch was not merged. Therefore, the modified notebooks still exist but not the commits.How can I retrieve aga...
Along with Job aborted due to stage failure: if you see slave lost... then it is due to less memory allocated for executors, more cores per executor more memory required or the other possibility is you have used max cpu available in cluster and the d...
I'm using a shared access cluster and am getting this error while trying to upload to Qdrant. #embeddings_df = embeddings_df.limit(5)
options = {
"qdrant_url": QDRANT_GRPC_URL,
"api_key": QDRANT_API_KEY,
"collection_name": QDRANT_COLLEC...
We have a use case , where there may be chance of 200 jobs executing at once. But Few notebooks are failing with an issue "run failed with error message Too many execution contexts are open right now.(Limit set currently to 150)." Can anyone help how...
Hello, you can refer to the following KB article for information and best practices in regards the issue you are facing: https://kb.databricks.com/en_US/notebooks/too-many-execution-contexts-are-open-right-now
Best practices
Use a job cluster instea...