Databricks Community

Current Approach Assessment Power BI Import Mode: Importing all table data results in full dataset refreshes, driving up compute and data transfer costs during each refresh. Delta Lake as Source: Databricks clusters are used for both ETL and respon...

Yes, the speed difference you are seeing when querying Delta Shared tables versus local Delta tables is expected due to the architectural nature of Delta Sharing and network constraints. Why Delta Sharing Is Slower When you query a standard Delta tab...

The core answer is: Many users encounter failures in structured streaming pipelines when switching from Databricks normal (classic) compute to Serverless, especially when using read streams on Unity Catalog Delta tables with Change Data Feed (CDF) en...

When chaining stateful operators like groupBy (aggregation) and join in Spark Structured Streaming, there are specific rules about the output mode required for the overall query and the behavior of each operator. Output Mode Requirements The groupBy...

All good in @mark_ott response. As a potential improvement, instead of using polling, I think it would be better to publish events to a Bus (i.e. Azure Event Hub) from notebooks so that consumers could launch queries when receiving, processing and fi...

Pre-partitioning of a Delta Table does not strictly determine the number of "default" DataFrame partitions when reading data with Spark Structured Streaming. Unlike Kafka, where each DataFrame partition maps one-to-one to a Kafka partition, Delta Lak...

The APPLY INTO function for SCD2 historization typically sets the __END_AT field of current records to NULL rather than a "highgate" like 9999-12-31. This is by design and reflects that the record is still current and has no defined end date yet. Cur...

When using PySpark or Databricks to perform a pivot operation with only a single aggregation, you may notice that the alias is not applied as expected, leading to inconsistencies, especially when trying to automate or apply metadata-driven frameworks...

The error you are encountering when running multiple simultaneous Databricks jobs using dbutils.jobs.taskValues.set(key, value) indicates a connection timeout issue to the Databricks backend API (connect timed out at ...us-central1.gcp.databricks.com...

Yes, you can move data from your HOT ADLS account to a COOL ADLS account while handling Delta Lake log issues, but this requires special techniques due to the nature of Delta Lake’s transaction log. The problem stems from Delta tables’ dependency on ...

The error where files and directories can be read at the root ADLS level but not at the blob/subdirectory level, combined with a "No file or directory exists on path" message, is frequently due to permission configuration, incorrect path usage, or ne...

Federated connections from Azure Databricks to Azure SQL DB via Lakehouse Federation currently only support read-only queries—meaning running update commands or executing stored procedures directly through the federated Unity Catalog interface is not...

Hi @pooja_bhumandla ,Updating any of two below options does not automatically recompute statistics for existing data. Rather, it impacts the behavior of future statistics collection when adding or updating data in the table.- delta.dataSkippingNumInd...

@vamsi_simbus  DLT captures data quality metrics in specialized system tables known as “event” and “metrics” tables. Specifically, look in the following table:LIVE.DLT_EVENT_LOG or LIVE.DLT_METRICS: These tables contain granular event logs and metric...