How to update a value in a delta table column in Azure Databricks with Map of Struct datatype?

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I have a delta table in Databricks named prod.silver.control_table. It has a few columns including table_name with string data type and transform_options with below structure:

 |-- transform_options: map (nullable = true)
 |    |-- key: string
 |    |-- value: struct (valueContainsNull = true)
 |    |    |-- col_name_mappings: map (nullable = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: string (valueContainsNull = true)
 |    |    |-- type_mappings: map (nullable = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: string (valueContainsNull = true)
 |    |    |-- partition_duplicates_by: array (nullable = true)
 |    |    |    |-- element: string (containsNull = true)
 |    |    |-- order_duplicates_by: array (nullable = true)
 |    |    |    |-- element: string (containsNull = true)

For example, when table_name is prod.silver.weather, the transform_options is:

{
"prod.bronze.weather_source_a":{"col_name_mappings":{"col_a_old":"col_a_new","col_b_old":"col_b_new"},"type_mappings":{"col_a_new":"INT","col_b_new":"TIMESTAMP"},"partition_duplicates_by":["col_a_new"],"order_duplicates_by":["_commit_version"]},
"prod.bronze.weather_source_b":{"col_name_mappings":{"col_c_old":"col_c_new","col_d_old":"col_d_new"},"type_mappings":{"col_c_new":"INT","col_d_new":"TIMESTAMP"},"partition_duplicates_by":["col_c_new"],"order_duplicates_by":["ingestion_timestamp","_commit_version"]}
}

I need to update values in order_duplicates_by. I need to change _commit_version into commit_version by removing the initial underscore.

Any idea how to update table values? I prefer to use SQL language.

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