scaladevspark opened a new issue, #4646:
URL: https://github.com/apache/iceberg/issues/4646
I would like to create a bucketed table, e.g.
```
val df = dfToWrite
.writeTo(s"iceberg_catalog.$db.$table")
.partitionedBy(col(TIME_KEY_COL))
.bucketBy(200, "ANOTHER_COL")
.create()
```
Is this currently possible via writeTo?
https://iceberg.apache.org/docs/latest/spark-ddl/ shows creating buckets via
spark-sql
Also, I would like to create buckets on a col that is not a partition col.
This does not seem to be possible in iceberg currently as well? Thanks.
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