March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Goal:
Develop an end-to-end automated pipeline to extract data from an external source, transfer it to Microsoft Fabric Lakehouse,
perform data cleaning using a pre-designed PySpark notebook, save the cleaned data in a Lakehouse, and subsequently update
a data warehouse with the latest and cleaned data.
Implemented Steps:
1.Created a pipeline with a copy data activity to transfer data from Azure Blob to Fabric Lakehouse.
2.Integrated a notebook activity in the pipeline to execute a pre-designed PySpark notebook for data cleaning.
3.Added a copy data activity to move the cleaned data from the Lakehouse to the data warehouse for further data modeling.
Problems and Errors:
During the second run of the pipeline, schema mismatch errors occur when changes are made to the schema using the PySpark notebook.
Questions:
1.Is there any way to achive the automated pipeline even after the schema changes in a second run?
2.Does Microsoft Fabric Spports Dynamic Schema Handling and Schema Evaluation?
if possible give me reference links.
Thank You.
Solved! Go to Solution.
Hi @BhanuPrakash_K ,
Thanks for using Fabric Community.
At present schema drift is not available in Fabric.
Copy activity allows, if your destination table already exists, and the data you are writing has a column missing, it will be defaulted to null (default value) when writing to destination. If there is a new column, or if a column is not typecastable to the destination type, then this is treated as a bad row, and you can either skip writing this bad row (and log it into a temporary storage to be processed later), or fail the operation (the default).
Hi @BhanuPrakash_K ,
Thanks for using Fabric Community.
At present schema drift is not available in Fabric.
Copy activity allows, if your destination table already exists, and the data you are writing has a column missing, it will be defaulted to null (default value) when writing to destination. If there is a new column, or if a column is not typecastable to the destination type, then this is treated as a bad row, and you can either skip writing this bad row (and log it into a temporary storage to be processed later), or fail the operation (the default).
Hi @Anonymous
Thanks for your responce.
I recently intracted with Microsoft Development team regarding this issue. they concluded that the Schema drift and Auto refresh options are not available in Microsoft Fabric.
Hi @BhanuPrakash_K ,
Glad to know that your query got resolved.
Please continue using Fabric Community for your further queries.
Hi @BhanuPrakash_K ,
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet .
In case if you have any resolution please do share that same with the community as it can be helpful to others .
Otherwise, will respond back with the more details and we will try to help .
Hi @BhanuPrakash_K ,
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet .
In case if you have any resolution please do share that same with the community as it can be helpful to others .
Otherwise, will respond back with the more details and we will try to help .
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
8 | |
4 | |
3 | |
2 | |
1 |
User | Count |
---|---|
14 | |
10 | |
9 | |
5 | |
4 |