The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
I cannot overwrite table schema using spark.write.mode("overwrite")
For example, create a table with 2 column: col1 as int and col2 as string
Then change col1 to data type int and use spark.write.mode("overwrite")
It return error
Solved! Go to Solution.
I think if you want to overwrite the schema while overwriting the data, you could write like this:
df\
.write\
.mode("overwrite")\
.option("overwriteSchema", "true")\
.saveAsTable("tableName")
So I think you only need to add .option("overwriteSchema", "true") in your code
I think if you want to overwrite the schema while overwriting the data, you could write like this:
df\
.write\
.mode("overwrite")\
.option("overwriteSchema", "true")\
.saveAsTable("tableName")
So I think you only need to add .option("overwriteSchema", "true") in your code
I tried and successed. Thank you very much.
User | Count |
---|---|
17 | |
9 | |
5 | |
3 | |
3 |
User | Count |
---|---|
46 | |
23 | |
17 | |
13 | |
12 |