Below is my PostgreSQL table: CREATE TABLE customer_data ( id SERIAL PRIMARY KEY, name VARCHAR(100) NOT NULL, email VARCHAR(100), age INT, registration_date DATE, last_login TIMESTAMP, account_balance DECIMAL(10, 2), is_active BOOLEAN, preferences JSONB, notes TEXT, rating FLOAT, binary_data BYTEA ); I am trying to read this table using Apache Beam and it fails for the boolean type whatever I do convert the boolean to string in PyArrow schema, explicitly cast it. Below is the sample code which I am using: schema = pa.schema([ pa.field("id", pa.int64(), nullable=False), pa.field("name", pa.string(), nullable=False), pa.field("email", pa.string(), nullable=True), pa.field("age", pa.int32(), nullable=True), pa.field("registration_date", pa.date32(), nullable=True), pa.field("last_login", pa.timestamp('us'), nullable=True), pa.field("account_balance", pa.decimal128(10, 2), nullable=True), pa.field("is_active", pa.bool_(), nullable=True), pa.field("preferences", pa.string(), nullable=True), pa.field("notes", pa.string(), nullable=True), pa.field("rating", pa.float32(), nullable=True), pa.field("binary_data", pa.binary(), nullable=True) with beam.Pipeline(options=options) as pipeline: ( pipeline | "Read from JDBC" >> ReadFromJdbc( table_name="customer_data", driver_class_name=driver_class_name, jdbc_url=jdbc_url, username=args.username, password=args.password ) | "Write to Parquet" >> beam.io.WriteToParquet( file_path_prefix=os.path.join(args.output_path, "customer_data"), schema=schema, file_name_suffix=".parquet" ) ) ERROR Error: ValueError: Failed to decode schema due to an issue with Field proto: name: "is_active" type { nullable: true logical_type { urn: "beam:logical_type:javasdk_bit:v1" representation { atomic_type: BOOLEAN } argument_type { atomic_type: STRING } argument { atomic_value { string: "" } } } } id: 7 encoding_position: 7 Continue reading...