AWS Glue ETL Jobで新しくテーブルを作った後はメタデータが足りないかも？

...
# サンプルコードを一部改変
# https://docs.aws.amazon.com/glue/latest/dg/update-from-job.html
sink = glueContext.getSink(
    connection_type="s3",
    path="s3://path/to/data",
    enableUpdateCatalog=True,
    updateBehavior="UPDATE_IN_DATABASE",
    partitionKeys=["partition_key0", "partition_key1"]
)
sink.setFormat("glueparquet")
sink.setCatalogInfo(catalogDatabase="foo_db", catalogTableName="bar_table")
sink.writeFrame(last_transform)

Error running query:
Invalid DataCatalog response for external table "foo_db"."bar_table":
Cannot deserialize table.
Missing mandatory field:
Parameters in response from external catalog.

--- エラーが出るテーブルのメタデータ
+++ エラーが出ないテーブルのメタデータ
             "Compressed": false,
             "NumberOfBuckets": 0,
             "SerdeInfo": {
-                "SerializationLibrary": "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"
+                "SerializationLibrary": "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe",
+                "Parameters": {}
             },
             "SortColumns": [],
             "StoredAsSubDirectories": false

def _get_update_table_parameters(
    table_definition: dict,
) -> dict:
    table_input = table_definition.copy()
    database_name = table_input.pop("DatabaseName")
    for delete_key in (
        "CatalogId",
        "CreateTime",
        "UpdateTime",
        "CreatedBy",
        "IsRegisteredWithLakeFormation",
    ):
        if delete_key in table_input:
            del table_input[delete_key]
    return dict(
        DatabaseName=database_name,
        TableInput=table_input,
    )


def _finalize(table_name: str, database: str) -> None:
    glue = boto3.client("glue", "ap-northeast-1")
    table: dict = glue.get_table(
        DatabaseName=database, Name=table_name
    )["Table"]
    serde_info = table["StorageDescriptor"]["SerdeInfo"]
    if "Parameters" in serde_info:
        return
    serde_info["Parameters"] = {}
    update_table_parameters = _get_update_table_parameters(table)
    update_table_parameters[
        "TableInput"
    ]["StorageDescriptor"]["SerdeInfo"] = serde_info
    glue.update_table(**update_table_parameters)


...
sink = glueContext.getSink(
    connection_type="s3",
    path="s3://path/to/data",
    enableUpdateCatalog=True,
    updateBehavior="UPDATE_IN_DATABASE",
    partitionKeys=["partition_key0", "partition_key1"]
)
sink.setFormat("glueparquet")
sink.setCatalogInfo(
    catalogDatabase="foo_db", catalogTableName="bar_table"
)
sink.writeFrame(last_transform)
_finalize("bar_table", "foo_db")
...