我正在尝试在csv中的一个字段上创建一个分区，并使用Glue ETL（python）将其存储为镶木地板。问题是，这个字段是一个时间戳，所以在创建分区之前，我想从这个时间戳中提取日期并将其存储在一个字段中，然后使用这个新字段来创建一个分区。
这是我的代码如下。我想从verificationdatetime字段中提取日期到一个名为verificationdate的字段，然后在写入DynamicFrame时将其添加为partitionkey。有任何想法吗？
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)
datasource0 = glueContext.create_dynamic_frame.from_catalog(database
= "sample_database", table_name = "sample_table", transformation_ctx
= "datasource0")
applymapping1 = ApplyMapping.apply(frame = datasource0, mappings =
[("personid", "string", "personid", "string"),
("verificationdatetime", "string", "verificationdatetime"), ], transformation_ctx = "applymapping1")
resolvechoice2 = ResolveChoice.apply(frame = applymapping1, choice =
"make_struct", transformation_ctx = "resolvechoice2")
dropnullfields3 = DropNullFields.apply(frame = resolvechoice2,
transformation_ctx = "dropnullfields3")
datasink4 = glueContext.write_dynamic_frame.from_options(frame =
dropnullfields3, connection_type = "s3", connection_options =
{"path": "s3://samplebucket/samplefile/","partitionKeys":["type"]},
format = "parquet", transformation_ctx = "datasink4")
job.commit()
df = dropnullfields3.toDF（）
df = df.withColumn（'verificationdate'，to_date（'verificationdatetime'，'MM / dd / yyyy HH：mm：ss.SSSSSS'））
使用verificationdatetime中指定的日期格式