ConeyLiu commented on issue #8175:
URL: https://github.com/apache/iceberg/issues/8175#issuecomment-1671588362
I mean what's the problem are you met. I could create a table on a struct
field:
```
scala> spark.sql("create table local.db.test_partition_struct(id long, data
struct<id: long, ts: timestamp>) using iceberg partitioned by
(years(data.ts))").show()
scala> spark.sql("insert into local.db.test_partition_struct values(1,
struct(2, timestamp('2023-01-01')))").show()
scala> spark.sql("select * from local.db.test_partition_struct").show()
+---+--------------------+
| id| data|
+---+--------------------+
| 1|{2, 2023-01-01 00...|
+---+--------------------+
scala> spark.sql("desc table local.db.test_partition_struct").show()
+--------------+--------------------+-------+
| col_name| data_type|comment|
+--------------+--------------------+-------+
| id| bigint| null|
| data|struct<id:bigint,...| null|
| | | |
|# Partitioning| | |
| Part 0| years(data.ts)| |
+--------------+--------------------+-------+
```
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