Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
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 |
---|---|
19 | |
9 | |
8 | |
5 | |
4 |
User | Count |
---|---|
56 | |
27 | |
17 | |
17 | |
17 |