aws glue:etl读取s3 csv文件

我想用ETL从S3读取数据。因为有了ETL作业,我可以设置DPU,希望能加快速度。

但我该怎么做呢?我试过了

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

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

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

inputGDF = glueContext.create_dynamic_frame_from_options(connection_type = "s3", connection_options = {"paths": ["s3://pinfare-glue/testing-csv"]}, format = "csv")
outputGDF = glueContext.write_dynamic_frame.from_options(frame = inputGDF, connection_type = "s3", connection_options = {"path": "s3://pinfare-glue/testing-output"}, format = "parquet")

但似乎没有写什么。我的文件夹如下:

什么不正确?我的输出S3只有一个类似以下的文件: testing_output_$folder$