nmukerje commented on issue #3321:
URL: https://github.com/apache/hudi/issues/3321#issuecomment-899117318
@umehrot2
Yes, that was exactly what was happening. Here is what I had to do to trick
Spark to make the column nullable.
```
from pyspark.sql.functions import
nmukerje commented on issue #3321:
URL: https://github.com/apache/hudi/issues/3321#issuecomment-898979181
@nsivabalan @codope Worked fine after I cast _hoodie_is_deleted to boolean.
```
df1=df1.withColumn("_hoodie_is_deleted",df1["_hoodie_is_deleted"].cast(BooleanType()))
```
nmukerje commented on issue #3321:
URL: https://github.com/apache/hudi/issues/3321#issuecomment-888485324
Interesting! Trying it...
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nmukerje commented on issue #3321:
URL: https://github.com/apache/hudi/issues/3321#issuecomment-886012008
I am not using bulk insert for the upsert/delete. I am just bulk insert for
Step 1 to stage some records.
The notebook is public so you can run the cells/oode. The schema is
