AWS Glue：過濾日期字段

Question

我有一個非常基本的問題，我創建了一個 AWS Glue 作業，我需要在從 dynamodb 表中提取數據時創建一個過濾器。 我只需要使用名為“時間”的字段從前一天提取數據。

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 re

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 = "sampledb", table_name = "tablex", transformation_ctx = "DataSource0")

Transform1 = ApplyMapping.apply(frame = DataSource0, mappings = [("allresults.paymentCapabilityResult.paymentCapabilityCheckResult", "boolean", "allresults.paymentCapabilityResult.paymentCapabilityCheckResult", "boolean"), ("time", "string", "time", "timestamp")], transformation_ctx = "Transform1")

DataSink0 = glueContext.write_dynamic_frame.from_options(frame = Transform1, connection_type = "s3", format = "json", connection_options = {"path": "s3://xxxxx/output/", "partitionKeys": []}, transformation_ctx = "DataSink0")
job.commit()

Answer 1

一種用於過濾昨天在PySpark輕松完成，為討論在這里。 腳本如下所示：

from pyspark.sql import functions as F

df = Transform1.toDF()
df = df.where(F.col("time") == F.date_sub(F.current_date(), 1))
Transform2 = DynamicFrame.fromDF(df, glue_ctx=glueContext, name="df")