Databricks Community

Hi @Saf4Databricks - Are you trying to use it from a standalone Databricks notebook? You should only use it from with Lakeflow Declarative Pipeline (LDP). The link you shared is about LDP. Here is an example where I used it.    

 May be there is internally some updates from databricks Can Check and Switch Your Pipeline Channel, In the DLT pipeline settings (under Advanced > Channel), confirm if it's set to "Preview". Switch to "Current" for a more stable engine version, then...

Hi @Upendra_Dwivedi , are you still facing this issue? The x-forwarded-access-token your app receives is the current user’s access token that Databricks forwards in HTTP headers for on‑behalf‑of‑user access. You should read it from the request on eac...

@databricksero  Explicit Schema Definition: When calling spark.createDataFrame(pdf_cleaned), explicitly provide the schema even if the DataFrame is empty. This helps Spark infer the types and prevents the “cannot infer schema from empty dataset” erro...

Hi @deng_dev ,Did you discover any way to raise this error gracefully? I'm facing the same error when running the kinesis stream. Although I'm aware of what the error is but my intent is to raise and log the error gracefully 

I like the core idea. You are mining signals the platform already emits.I would start rules first, track small files ratio and average file size trend, watch skew per partition and shuffle bytes per input gigabyte. Compare job time to input size to c...

Hello @Bhavana_Y! To be eligible for the incentives, you’ll need to complete one of the pathways mentioned in the Learning Festival post. Based on your screenshot, it looks like you’ve completed all four modules of LEARNING PATHWAY 7: APACHE SPARK DE...

This is a pretty common issue with PySpark when working on large DAGs with lots of joins and transformations. As the DAG grows, Spark has to maintain a huge execution plan, and performance can drop due to shuffling, serialization, and memory overhead...