schatterjee10 opened a new issue, #4849:
URL: https://github.com/apache/iceberg/issues/4849
We encountered an error while writing to iceberg table
`java.lang.IllegalArgumentException: Cannot change column type: myCol:
long->int
`
The table was created with long type for myCol. We are writing to Iceberg
table from Spark application like this :
`df.writeTo(icebergTable).
.option("mergeSchema", "true")
.overwritePartitions()`
Since we have datatype for myCol as int in the dataframe and we are using
'mergeSchema' option, I believe the writer is trying to downcast the column
type which is failing. Would it be better if we ignore the downcasting of
column types with 'mergeSchema' option?
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