I want to have a table that’s partitioned by the following, in order:
* Low-cardinality identity * Day * Bucketed long ID, 16 buckets Is this possible? If so, how should I do the dataframe write? This is what I’ve tried so far: 1. df.orderBy(“identity”, “day”).sortWithinPartitions(expr(“iceberg_bucket16(id)”)) 2. df.orderBy(“identity”, “day”, expr(“iceberg_bucket16(id)”)) 3. df.repartition(“identity”, “day”).sortWithinPartitions(“identity”, “day”, expr(“iceberg_bucket16(id)”)) 4. df.repartition(“identity”, “day”, “id”).sortWithinPartitions(“identity”, “day”, expr(“iceberg_bucket16(id)”)) 5. df.repartitionByRange(“identity”, “day”).sortWithinPartitions(“identity”, “day”, expr(“iceberg_bucket16(id)”)) 6. df.repartitionByRange(“identity”, “day”, “id”).sortWithinPartitions(“identity”, “day”, expr(“iceberg_bucket16(id)”)) But I keep getting the error indicating that a partition has already been closed.
