Error when upserting and updating dataframes with dictionary encoded columns

### 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

首先使用 pyarrow.read_table(read_dictionary=[string_columns]) 以及从 catalog.load_table(table_name) 加载的表重现该问题。比较 table.append(df)、table.upsert(df, join_cols=[primary_keys]) 和 table.update(df, join_cols=[primary_keys])；当 upsert 和 update 能够处理 dictionary 编码的列而不会出现报告的 Invalid Type Dictionary 错误时，即表示完成。

由索引模型根据 Issue 内容生成。