How to override dynamoDB data using Glue job - amazon-web-services

Question

As I understand, Joob Bookmarks prevents the duplicated data. "Enable" updates the data based on the previous data, and "disable" process the entire dataset (does this mean it overrides it? I tried this, but the job took for too long and i'm not sure if it does what i think it does.)
But what if I want to override the Dynamodb Table in the job? I've seen examples where the output data is in S3, but I'm not sure about the DynamoDB.
For example I have a Glue job like this:
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
args = getResolvedOptions(sys.argv, ["JOB_NAME"])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args["JOB_NAME"], args)
# Script generated for node Redshift Cluster
RedshiftCluster_node1 = glueContext.create_dynamic_frame.from_catalog(
database="tr_bbd",
redshift_tmp_dir=args["TempDir"],
table_name="tr_bbd_vendor_info",
transformation_ctx="RedshiftCluster_node1",
)
# Script generated for node ApplyMapping
ApplyMapping_node2 = ApplyMapping.apply(
frame=RedshiftCluster_node1,
mappings=[
("vendor_code", "string", "vendor_code", "string"),
("vendor_group_id", "int", "vendor_group_id", "int"),
("vendor_group_status_name", "string", "vendor_group_status_name", "string")
],
transformation_ctx="ApplyMapping_node2",
)
# Script generated for node DynamoDB bucket
Datasink1 = glueContext.write_dynamic_frame_from_options(
frame=ApplyMapping_node2,
connection_type="dynamodb",
connection_options={
"dynamodb.output.tableName": "VENDOR_TABLE",
"dynamodb.throughput.write.percent": "1.0"
}
)
job.commit()
Thank you.