Error when upserting and updating dataframes with dictionary encoded columns

[sudharsansrini]

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
• I cannot contribute a fix for this bug at this time