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From Jonhy Stack <>
Subject Spark is inventing its own AWS secret key
Date Wed, 08 Mar 2017 11:14:59 GMT

I'm trying to read a s3 bucket from Spark and up until today Spark always
complain that the request return 403

    hadoopConf = spark_context._jsc.hadoopConfiguration()
    hadoopConf.set("fs.s3a.access.key", "ACCESSKEY")
    hadoopConf.set("fs.s3a.secret.key", "SECRETKEY")
    hadoopConf.set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
    logs = spark_context.textFile("s3a://mybucket/logs/*)

Spark was saying .... Invalid Access key [ACCESSKEY]

However with the same ACCESSKEY and SECRETKEY this was working with aws-cli

    aws s3 ls mybucket/logs/

and in python boto3 this was working

    resource = boto3.resource("s3", region_name="us-east-1")
    resource.Object("mybucket", "logs/") \
                .put(Body=open("", "rb"),ContentType="text/x-py")

so my credentials ARE invalid and the problem is definitely something with

Today I decided to turn on the "DEBUG" log for the entire spark and to my
suprise... Spark is NOT using the [SECRETKEY] I have provided but
instead... add a random one???

17/03/08 10:40:04 DEBUG request: Sending Request: HEAD / Headers: (Authorization: AWS
ACCESSKEY:**[RANDON-SECRET-KEY]**, User-Agent: aws-sdk-java/1.7.4
Mac_OS_X/10.11.6 Java_HotSpot(TM)_64-Bit_Server_VM/25.65-b01/1.8.0_65,
Date: Wed, 08 Mar 2017 10:40:04 GMT, Content-Type:
application/x-www-form-urlencoded; charset=utf-8, )

This is why it still return 403! Spark is not using the key I provide with
fs.s3a.secret.key but instead invent a random one EACH time (everytime I
submit the job the random secret key is different)

For the record I'm running this locally on my machine (OSX) with this

    spark-submit --packages

Could some one enlighten me on this?

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