Error when upserting and updating dataframes with dictionary encoded columns

還沒有人認領這個 Issue。

### Apache Iceberg version

0.9.1

### Please describe the bug 🐞

df = pyarrow.read_table(read_dictionary=[string_columns])

table = catalog.load_table(table_name)

table.append(df) -> 'append' casts dictionary columns into large string and table appended without any error

table.upsert(df, join_cols=[primary_keys]) -> Error (Invalid Type Dictionary)
table.update(df, join_cols=[primary_keys]) -> Error (Invalid Type Dictionary)

### Willingness to contribute

- [ ] I can contribute a fix for this bug independently
- [ ] I would be willing to contribute a fix for this bug with guidance from the Iceberg community
- [x] I cannot contribute a fix for this bug at this time

先使用 pyarrow.read_table(read_dictionary=[string_columns]) 以及從 catalog.load_table(table_name) 載入的表格重現問題。比較 table.append(df)、table.upsert(df, join_cols=[primary_keys]) 和 table.update(df, join_cols=[primary_keys])；當 upsert 和 update 能夠處理 dictionary 編碼的欄位而不會出現回報的 Invalid Type Dictionary 錯誤時，即表示完成。

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