使用AWS Glue的动态框架和Python语言，可以过滤数据源中的日期字段。以下是过滤年份为特定值的日期字段的代码示例：

import sys from awsglue.transforms import * from awsglue.utils import getResolvedOptions from awsglue.dynamicframe import DynamicFrame

args = getResolvedOptions(sys.argv, ['JOB_NAME'])

@params: [JOB_NAME]

job = Job(args['JOB_NAME']) job.init()

Getting the context from Glue

glueContext = GlueContext(SparkContext.getOrCreate())

Creating a dynamic frame from the source data

dataSource = glueContext.create_dynamic_frame.from_catalog(database = "myDatabase", table_name = "myTable")

Filtering the date column where year is 2021

filteredDF = Filter.apply(frame = dataSource, f = lambda x: x['date_field'].split("-")[0] == "2021")

Converting dynamic frame to data frame

filteredDF.toDF().show()

End job

job.commit()

上述代码将从myDatabase.myTable获取数据，过滤出日期字段中年份为2021的数据，并将其转换为dataframe进行输出。可以根据需要修改过滤条件。