Databricks Community

@Hanan Shteingart​ :It looks like you're using the Azure Blob Storage connector for Spark to read data from Azure. The error message suggests that the credentials you provided are not being used by the connector.To specify the credentials, you can se...

@Bhagwan Chaubey​ :The error message suggests that the hostname for your Azure Storage account could not be resolved. This could happen if there is a network issue, or if the hostname is incorrect.Here are some steps you can try to resolve the issue:...

@Raymond Huang​ :The error message "ignore changes to true" typically occurs when you are trying to apply changes to a table using Delta Lake's change data capture (CDC) feature, but you have set the option ignoreChanges to true. This option tells De...

@bobbysidhartha​ :When merging data into a partitioned Delta table in parallel, it is important to ensure that each job only accesses and modifies the files in its own partition to avoid concurrency issues. One way to achieve this is to use partition...

@Thomaz Moreira​ :It sounds like there might be an issue with the network configuration of your Databricks cluster. Here are a few things you can check:Make sure that your Databricks cluster is in the same VPC as your service in the other AWS account...

@hr then​ :The approach taken by AutoML to classify features as numeric or categorical depends on the specific AutoML framework or library being used, as different implementations may use different methods or heuristics to make this determination.In ...

@Enric Llop​ :When using Delta Live Tables to perform a "rip and replace" operation, where you want to replace the existing data in a table with new data, there are a few things to keep in mind.First, the apply_changes function is used to apply chang...

@Rachel Cunningham​ :One possible reason for this issue could be a data type mismatch between the bronze and silver tables. It is possible that the column in the bronze table has a non-null value, but the data type of that column is different from th...

@Harsh Paliwal​ :The error message suggests that there might be a conflict with the xtables lock.One thing you could try is to add the -w option as suggested by the error message. You can add the following command to the beginning of your notebook t...

@Chris Konsur​ :The error message suggests that there is an issue with the standard output buffer when the Python interpreter is shutting down, which could be related to daemon threads. This error is not specific to Databricks or Azure ADO pipeline, ...

@hyunho lee​ : It sounds like you are encountering an issue with PySpark's serializer not being able to find the necessary modules during testing with Pytest. One solution you could try is to set the PYTHONPATH environment variable to include the pat...

@Roger Bieri​ :In Databricks, you can use the UserDefinedFunction (UDF) feature to create a custom function that will be applied to a DataFrame. You can use this feature to add a WHERE clause to a DataFrame based on the user context. Here's an exampl...

@Federico Trifoglio​ :If sc.getCheckpointDir() returns None, it means that no checkpoint directory is set in the SparkContext. In this case, the checkpointInterval argument will indeed be ignored. To set a checkpoint directory, you can use the SparkC...

@Janga Reddy​ :Certainly! Here are the steps for Hive metastore backup and restore on Databricks:Backup:Stop all running Hive services and jobs on the Databricks cluster.Create a backup directory in DBFS (Databricks File System) where the metadata fi...