AWS Glue- 作业运行没有错误，但不显示输出

Question

I have data in AWS MySQL RDS and the requirement is to grab data from a table to the csv file and place it in S3. To achieve that i am using AWS glue and have code as shown below. The job runs with no errors and the output is not displayed in S3 bucket. Please help.

 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
    import boto3

    ## @params: [JOB_NAME]
    args = getResolvedOptions(sys.argv, ['JOB_NAME'])

    aws_region = "your-aws-region-code"
    s3_path = "s3-prefix"
    glue_database = "glue-database-name"
    table="glue-table name"
    target_format = "csv"

    sc = SparkContext()
    glueContext = GlueContext(sc)
    spark = glueContext.spark_session
    job = Job(glueContext)
    job.init(args['JOB_NAME'], args)

    client = boto3.client(service_name='glue', region_name=aws_region)
    responseGetTables = client.get_tables(DatabaseName=glue_database)

    tableList = responseGetTables['TableList']
    tables = []
    for tableDict in tableList:
      tables.append(tableDict['Name'])

    for table in tables:
      datasource = glueContext.create_dynamic_frame.from_catalog(database = glue_database, table_name = table)
      datasink = glueContext.write_dynamic_frame.from_options(frame = datasource, connection_type = "s3", connection_options = {"path": s3Path + table}, format = target_format)

    job.commit()

Answer 1

replace 2nd last line with this , actually it should s3_path instead of s3path

datasink = glueContext.write_dynamic_frame.from_options(frame = datasource, connection_type = "s3", connection_options = {"path": s3_path + table}, format = target_format)