Hi,

                The aws CLI already has your access key aid and secret access key when you initially configured it.

                Is your s3 bucket without any access restrictions?

 

 

Best regards / Mit freundlichen Grüßen / Sincères salutations

M. Lohith Samaga

 

 

From: Ashic Mahtab [mailto:ashic@live.com]
Sent: Monday, July 04, 2016 15.06
To: Apache Spark
Subject: RE: Cluster mode deployment from jar in S3

 

Sorry to do this...but... *bump*

 


From: ashic@live.com
To: user@spark.apache.org
Subject: Cluster mode deployment from jar in S3
Date: Fri, 1 Jul 2016 17:45:12 +0100

Hello,

I've got a Spark stand-alone cluster using EC2 instances. I can submit jobs using "--deploy-mode client", however using "--deploy-mode cluster" is proving to be a challenge. I've tries this:

 

spark-submit --class foo --master spark:://master-ip:7077 --deploy-mode cluster s3://bucket/dir/foo.jar

 

When I do this, I get:

16/07/01 16:23:16 ERROR ClientEndpoint: Exception from cluster was: java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access Key must be specified as the username or password (respectively) of a s3 URL, or by setting the fs.s3.awsAccessKeyId or fs.s3.awsSecretAccessKey properties (respectively).

java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access Key must be specified as the username or password (respectively) of a s3 URL, or by setting the fs.s3.awsAccessKeyId or fs.s3.awsSecretAccessKey properties (respectively).

        at org.apache.hadoop.fs.s3.S3Credentials.initialize(S3Credentials.java:66)

        at org.apache.hadoop.fs.s3.Jets3tFileSystemStore.initialize(Jets3tFileSystemStore.java:82)

        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)

        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

        at java.lang.reflect.Method.invoke(Method.java:498)

        at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)

        at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)

 

 

Now I'm not using any S3 or hadoop stuff within my code (it's just an sc.parallelize(1 to 100)). So, I imagine it's the driver trying to fetch the jar. I haven't set the AWS Access Key Id and Secret as mentioned, but the role the machine's are in allow them to copy the jar. In other words, this works:

 

aws s3 cp s3://bucket/dir/foo.jar /tmp/foo.jar

 

I'm using Spark 1.6.2, and can't really think of what I can do so that I can submit the jar from s3 using cluster deploy mode. I've also tried simply downloading the jar onto a node, and spark-submitting that... that works in client mode, but I get a not found error when using cluster mode.

 

Any help will be appreciated.

 

Thanks,

Ashic.


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