Databricks Community

@Raeger Tay​ :The error message indicates that a schema change has been detected while changing the column mapping mode. It seems like you are trying to change the column mapping mode from the default (position) to the "name" mode, which maps columns...

@KVNARK .​ :One potential solution would be to use an open-source MDX library for Python that can connect to SSAS, such as OLAP-XMLA for Python. This library can be used to execute MDX queries against a SSAS server, including Power BI datasets.Here's...

@Indra Limena​ :There are several ways to improve transactional loading into Delta Lake:Use Delta Lake's native Delta JDBC/ODBC connector instead of a third-party ODBC driver like Simba. The native connector is optimized for Delta Lake and supports b...

@Istuti Gupta​ :There are several algorithms you can use to mask a column in Databricks in a way that is compatible with SQL Server. One commonly used algorithm is called pseudonymization or tokenization.Here's an example of how you can implement pse...

@Tim zhang​ :The issue is that the formatAccount function is defined as a Scala function, but SparkSQL is looking for a SQL function. You need to register the Scala function as a SQL function so that it can be called from SparkSQL. You can register t...

@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...

@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, ...