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accelerometer_landing_to_trusted_zone.py
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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
args = getResolvedOptions(sys.argv, ["JOB_NAME"])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args["JOB_NAME"], args)
# Script generated for node customer_trusted
customer_trusted_node1689563329110 = glueContext.create_dynamic_frame.from_catalog(
database="dend",
table_name="customer_trusted",
transformation_ctx="customer_trusted_node1689563329110",
)
# Script generated for node accelerometer_landing
accelerometer_landing_node1 = glueContext.create_dynamic_frame.from_catalog(
database="dend",
table_name="accelerometer_landing",
transformation_ctx="accelerometer_landing_node1",
)
# Script generated for node Customer Privacy Filter
CustomerPrivacyFilter_node1689563552518 = Join.apply(
frame1=accelerometer_landing_node1,
frame2=customer_trusted_node1689563329110,
keys1=["user"],
keys2=["email"],
transformation_ctx="CustomerPrivacyFilter_node1689563552518",
)
# Script generated for node Drop Fields
DropFields_node1689563733947 = DropFields.apply(
frame=CustomerPrivacyFilter_node1689563552518,
paths=[
"customername",
"email",
"phone",
"serialnumber",
"registrationdate",
"lastupdatedate",
"sharewithresearchasofdate",
"sharewithpublicasofdate",
"birthday",
"sharewithfriendsasofdate",
],
transformation_ctx="DropFields_node1689563733947",
)
# Script generated for node S3 bucket
S3bucket_node3 = glueContext.write_dynamic_frame.from_options(
frame=DropFields_node1689563733947,
connection_type="s3",
format="json",
connection_options={
"path": "s3://dend-lake-house/accelerometer/trusted/",
"partitionKeys": [],
},
transformation_ctx="S3bucket_node3",
)
job.commit()