Databricks Community

To write an ObjectId value using Spark Mongo Connector 10.2.2 in PySpark while updating records, you must convert the ObjectId string into a special format. The Spark Mongo Connector does not automatically recognize a string as an ObjectId; it will o...

You are seeing inflated cost numbers because your query groups by many columns—especially run_id, task_key, usage_start_time, and usage_end_time—without addressing possible duplicate row entries that arise from your joins, especially with the system....

A persistent "GC Allocation Failure" in Spark jobs, where processes are stuck in the RUNNING state even after attempts to clear cache and enforce GC, typically indicates ongoing memory pressure, possible data skew, or excessive memory use on the driv...

There is no built-in Spark or Databricks method to gracefully stop a Structured Streaming query specifically at the end of the current microbatch, but several community and expert discussions propose common strategies to achieve this: Official and Co...

It’s a smart move to raise this question before investing lots of time—because with the Databricks VSCode extension, there are indeed specific limitations when it comes to accessing shared workspace folders that weren't originally created by the exte...

The error you are seeing when using mapInPandas in serverless compute with Environment version 2 is due to an incompatibility in the environment's supported Spark features. Specifically, Environment version 2 on serverless compute does not support ma...

Frequent VNet gateway errors in Power BI related to “DM_GWPipeline_Gateway_MashupDataAccessError” and memory allocation issues often stem from resource limits, configuration problems, or inefficient modeling—even with simple DAX. No single “permanent...

The error occurs because Databricks (based on GEOS/OGC standards) expects coordinates in Well-Known Text (WKT) that fall into valid ranges: Longitude (XX or first coordinate): −180≤X≤180−180≤X≤180 Latitude (YY or second coordinate): −90≤Y≤90−90≤Y≤9...

As of now, my current approach is to manually copy/paste YAMLs across workspaces and version them using Git/Azure DevOps by saving them as DBFS files. The CD process is then handled using Databricks DBFS File Deployment by Data Thirst Ltd.While this ...

You are seeing two related errors during table migration with Databricks Labs UCX for Unity Catalog: For create-table-mapping:“ValueError: Please run as account-admin: databricks labs ucx sync-workspace-info” For sync-workspace-info:“Error: entrypo...

Your error is caused by a missing field or column (date_of_birth#1554) in your Spark SQL logical plan, which is needed during query optimization. This issue happens only when running the notebook in a Workflow job because of subtle differences betwee...

The core issue is that PySpark UDFs require their entire closure—including any helper functions they call, such as _get_greeting—to be serializable and available on the worker nodes. In Databricks Workspace, the module distribution and packaging are ...

Which actions should be used to clean up and maintain Iceberg metadata?expireSnapshots: Is it recommended to delete old snapshots using the same retention period as the Delta table?deleteOrphanFiles: This deletes unreferenced Iceberg metadata as well...

I would assume it is trying to read v899 because in you read up until v898 in the last [streaming]batch and stored the state in the streaming checkpoint. Now, if you run the code again and continue the stream, it tries to pick up from the first versi...