• Microsoft Fabric For Beginners
In this tutorial, I explain how to handle schema irregularities in Spark when ingesting into Fabric Lakehouse tables. I also explain how to implement schema evolution for Lakehouse tables.
Chapters:
00:00- Introduction
01:48- Preview
03:53- Preparing data
05:34- Demo 1: Default schema enforcement in Spark
07:14- Disabling schema enforcement
07:59- Demo 2: Handling corrupt values
10:05- Demo 3: Exploring Permissive mode
10:47- Demo 4: Exploring Dropmalformed mode
11:17- Demo 5: Exploring Failfast mode
11:42- Demo 6: Handling schema mismatches on Lakehouse write
13:20- Demo: Using mergeSchema option
14:15- Demo: Using schema.autoMerge configuration setting
You can download the demo artifacts here:
Notebook: https://github.com/fazizov/youtube/bl...
Data: https://github.com/fazizov/youtube/bl...
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Official Documentation:
https://learn.microsoft.com/en-us/fab...
Hashtags:
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