AWS Glue

View catalogued assets within your AWS Glue, or leverage AWS Athena to add data observability capabilities.

Supported Capabilities

Data Quality	Capability
Freshness	✅ *
Volume	✅*
Schema Drift	✅*
Field Health	✅*
Custom SQL	✅*
Job Failure	✅

Catalog	Capability
Data Profiling	✅*
Data Preview	✅*

Data Recon	Capability
Add Recon	❌

*only available when AWS Athena compute is selected.

Minimum Requirement

To connect your AWS Glue to decube, we will need the following information:

• Create an IAM user for us with AWSGlueServiceRole

• IAM user's Access Key

• IAM user's Secret Key

• Glue Region

• Enable Athena (Optional) - Read more in this section. If Athena is enabled,

  • Workgroup

  • Bucket Name

AWS IAM User

1. Login to AWS Console and proceed to IAM > User > Create User

1. Click on attach policies directly and search for AWSGlueServiceRole

1. Review and create your user

1. Navigate to the newly created user and click on Create access key

1. Choose Application running outside AWS

1. Save the provided access key and secret access key. You will not be able to retrieve these keys again.

Enable Athena for Data Observability

This section is applicable if you intend to enable monitors on your AWS Glue source.

AWS Glue, by itself, does not provide native support for Data Quality Monitoring. To address this, we leverage AWS Athena, a serverless, interactive query service, to analyze and query the data that was produced by glue and stored in AWS S3. Because of that, Decube requires additional policies to be attached to the IAM user created in this step AWS Glue | Decube.

Configuring AWS Athena

You will need to set up these items:

1. Creating an s3 bucket to store Athena query results.

2. Creating an Athena Workgroup

3. Optional - Athena Data Source name

Athena saves the results of queries in an s3 bucket. The location of the bucket will then be attached in one of the policies of the next section. Athena Workgroup is required for some of the policies that we will attach to the IAM user as well.

Creating an s3 bucket

1. Go to S3 > Bucket and click on Create bucket

2. For bucket name, we suggest decube-athena-query-results.

3. For Object Ownership, select ACLs disabled.

4. Click on Create bucket.

5. Take note of the ARN for the bucket, we will refer it as decube-athena-query-results in the following sections when setting up Athena.

Creating an Athena Workgroup

1. Go to Amazon Athena > Administration > Workgroups

2. Click on Create Workgroup

Create workgroup details.

1. Fill in Workgroup name. Recommended name here is: decube-athena-workgroup.

2. Select Athena SQL as Analytics engine.

3. Select Manual for Upgrade query engine.

4. Select Athena engine version 3 as Query engine version.

Select AWS IAM and add location of query result.

1. For Authentication, select AWS Identity and Access Management (IAM).

2. For Query result configuration, specifically Location of query result , fill in the location of the bucket from the previous section, if you’re following the name convention it would be s3://decube-athena-query-results .

3. Click on Create workgroup.

4. Take note of the name of the workgroup.

Adding policies to IAM User

Ensure that step in previous section to set up IAM User has been completed first before this section.

1. Go to IAM > Users and search for the user previously created for Decube to ingest Glue and click on it.

2. On the Permissions tab, click on Add permissions > Create inline policy.

1. On the Policy editor tab, click on JSON.Click Next.

1. Copy and paste these policies onto the form provided, note to change the block on Resource accordingly.

{
	"Version": "2012-10-17",
	"Statement": [
		{
			"Sid": "DecubeAthenaS3Ingest",
			"Effect": "Allow",
			"Action": [
				"s3:GetObject",
				"s3:GetBucketLocation",
				"athena:GetTableMetadata",
				"athena:StartQueryExecution",
				"athena:GetQueryResults",
				"athena:GetDatabase",
				"athena:GetDataCatalog",
				"athena:ListQueryExecutions",
				"athena:GetWorkGroup",
				"athena:StopQueryExecution",
				"athena:GetQueryResultsStream",
				"athena:ListDatabases",
				"athena:GetQueryExecution",
				"athena:ListTableMetadata",
				"athena:BatchGetQueryExecution"
			],
			"Resource": [
				"arn:aws:athena:*:{account id}:datacatalog/{specify a data catalog or *}",
				"arn:aws:athena:*:{account id}:workgroup/{workgroup_name or *}",
			  // example
				// "arn:aws:athena:*:1234567:datacatalog/*",
				// "arn:aws:athena:*:1234567:workgroup/decube-athena-workgroup ",
				
				// example - all buckets to be monitored by Athena
				// "arn:aws:s3:::decube-glue_results/*",
				// "arn:aws:s3:::decube-glue_results"
			]
		},
		{
			"Sid": "DecubeS3AthenaOutput",
			"Effect": "Allow",
			"Action": [
				"s3:PutObject",
				"s3:GetObject",
				"s3:ListBucketMultipartUploads",
				"s3:AbortMultipartUpload",
				"s3:ListBucket",
				"s3:GetBucketLocation",
				"s3:ListMultipartUploadParts"
			],
			"Resource": [
				// example. ARN from athena input bucket
				// "arn:aws:s3:::decube-athena-query-results/*",
				// "arn:aws:s3:::decube-athena-query-results"
			]
		}
	]
}

1. Click Next . We recommend naming the policy decube-athena-s3. Finally click on Create policy.

OpenLineage with AWS Glue

This section is applicable if you intend to view lineages from your AWS Glue jobs. OpenLineage is an open framework for data lineage collection and analysis. At its core is an extensible specification that systems can use to interoperate with lineage metadata.

Follow below steps to enable OpenLineage on AWS Glue:

1. Specify the OpenLineage JAR URL

• In the Job details tab, navigate to Advanced properties → Libraries → Dependent Jars path

• Use the URL directly from Maven Central openlineage-spark

• Ensure you select the version for Scala 2.12, as Glue Spark is compiled with Scala 2.12, and version 2.13 won't be compatible.

• On the page, for the specific OpenLineage version for Scala 2.12, copy the URL of the jar file from the Files row and use it in Glue.

• Alternatively, upload the jar to an S3 bucket and use its URL. The URL should use the s3 scheme: s3://<your bucket>/path/to/openlineage-spark_2.12-<version>.jar

1. Add OpenLineage configuration in Job Parameters

   In the same Job details tab, add a new property under Job parameters:

   • Use the format param1=value1 --conf param2=value2 ... --conf paramN=valueN.

   • Make sure every parameter except the first has an extra -conf in front of it.

   • Example: spark.extraListeners=io.openlineage.spark.agent.OpenLineageSparkListener --conf spark.openlineage.transport.type=http --conf spark.openlineage.transport.url=https://integrations.decube.io --conf spark.openlineage.transport.endpoint=/integrations/apache_spark/webhook/<webhook-uuid> --conf spark.openlineage.transport.auth.type=api_key --conf spark.openlineage.transport.auth.apiKey=<webhook-key>

2. Set User Jars First Parameter

• Add the --user-jars-first parameter and set its value to true

Verification

• To confirm that OpenLineage registration has been successful, check the logs for the following entry:

INFO SparkContext: Registered listener io.openlineage.spark.agent.OpenLineage
SparkListener

• If you see this log message, it indicates that OpenLineage has been correctly registered with your AWS Glue job.

1. Insert the "access key" and "secret key" with "region" of the connection form, then test the connection. If it is successful, you can now add the name and connect to the data source.