Setting ACL in S3 objects written by an AWS Glue Job
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I came across the following issue:
I run a Glue job from account A to write into an S3 bucket in account B. This meant that the owner of the object is account A and I couldn't do anything with the objects from account B.
Is there a way to tell the Glue job to apply an ACL with full control for the bucket owner?
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You can use Hadoop java configurations in a spark job to update the S3 canned acls. I haven't tested this with Glue Dynamic Frames, but it works for native Spark DataFrames.
import sys
from pyspark import SparkConf
from pyspark.context import SparkContext
from pyspark.sql.functions import *
from pyspark.sql import SQLContext, Row
sc = SparkContext()
sc._jsc.hadoopConfiguration().set("fs.s3.canned.acl", "BucketOwnerFullControl")
已回答 5 年前
