Spark 是否允许使用 Amazon Assumed Role 和 STS 临时凭证在 EMR 上进行 Glue 跨账户访问

Question

We are trying to connect to the cross-account AWS Glue catalog with the EMR spark job. I did a study that AWS supports cross-account access for the Glue catalog in two ways.

1. IAM role-based. (This is not working for me)
2. Resource-based policy. (This worked for me)

So the problem scenario is, Account A creates EMR with its role role_Account_A . And role role_Account_A wants to access the glue catalog of Account B .

• Account A creates EMR cluster with role role_Account_A
• Account B has role role_Account_B which has access to glue and s3 with role_Account_A in trusted entities.
• role_Account_A has sts:AssumeRole policy for resource role_Account_B
• using sdk we are able to assume role role_Account_B from role_Account_A and getting temporary credentials.
• EMR has configurations[{"classification":"spark-hive-site","properties":{"hive.metastore.glue.catalogid":"Account_B", "hive.metastore.client.factory.class": "com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory"}}]

    SparkSession sparkSession=SparkSession.builder().appName("testing glue")
                .enableHiveSupport()
                .getOrCreate();
sparkSession.sparkContext().hadoopConfiguration().set("fs.s3a.aws.credentials.provider", "org.apache.hadoop.fs.s3a.TemporaryAWSCredentialsProvider");
sparkSession.sparkContext().hadoopConfiguration().set("fs.s3a.access.key", assumedcreds.getAccessKeyId());
sparkSession.sparkContext().hadoopConfiguration().set("fs.s3a.secret.key", assumedcreds.getSecretAccessKey());
sparkSession.sparkContext().hadoopConfiguration().set("fs.s3a.session.token", assumedcreds.getSessionToken());
sparkSession.sparkContext().conf().set("fs.s3a.access.key",  assumedcreds.getAccessKeyId());
sparkSession.sparkContext().conf().set("fs.s3a.secret.key",  assumedcreds.getSecretAccessKey());
sparkSession.sparkContext().conf().set("fs.s3a.session.token", assumedcreds.getSessionToken());
sparkSession.sql("show databases").show(10, false);

The error that we are getting is

    Caused by: MetaException(message:User: arn:aws:sts::Account_A:assumed-role/role_Account_A/i-xxxxxxxxxxxx is not authorized to perform: glue:GetDatabase on resource: arn:aws:glue:XX-XXXX-X:Account_B:catalog 
because no resource-based policy allows the glue:GetDatabase action (Service: AWSGlue; Status Code: 400; Error Code: AccessDeniedException; Request ID: X93Xbc64-0153-XXXX-XXX-XXXXXXX))

Questions:-

• Does spark supports glue-based authentication properties for example aws.glue.access.key?
• As per error spark is not using assumed role role_Account_B. It uses role_Account_A with which EMR was created. Can we make it use assumed role role_Account_B?

I will update the question details if I am missing something.

Answer 1

Did you find the solution? I'm facing the exact same issue ! Thank you

Answer 2

I believe you're having an EMR instance profile role in Account A. If so, you would have to follow these and cross-account access should work

In Account B,

1. Under Glue, go to settings and add the ( EMR instance profile role A ) as principal and provide access to Account B's glue and S3. It is recommended to provide only for the buckets you need to access
2. Go to the bucket policy of the bucket that the glue table will be using and add the ( EMR instance profile role A ) as principal and provide read/write access.

Now if you run the EMR job in account A, you'll see the job running with cross-account access

It works for our purpose. Try it out