Use the AmazonElasticMapReduceforEC2Role managed Specify a custom EC2 instance profile and permissions, you must configure theĪppropriate AWS Glue actions. TheĪmazonElasticMapReduceforEC2Role managed policy that is attached to theĮMR_EC2_DefaultRole allows all necessary AWS Glue actions. If you use the default EC2 instance profile for Amazon EMR, no action is required. InĪddition, if you enable encryption for AWS Glue Data Catalog objects, the role must also be allowed toĮncrypt, decrypt and generate the AWS KMS key used for encryption. The EC2 instance profile for a cluster must have IAM permissions for AWS Glue actions. ".class": ".metastore.AWSGlueDataCatalogHiveClientFactory", An object in the Data Catalog is a table, partition, or database. If you store more than a million objects, you are charged USD$1 for each 100,000 objects over a million. The Data Catalog allows you to store up to a million objects at no charge. There is a monthly rate for storing and accessing the metadata in the Data Catalog, an hourly rate billed per minute for AWS Glue ETL jobs and crawler runtime, and an hourly rate billed per minute for each provisioned development endpoint. For more information about the Data Catalog, see Populating the AWS Glue Data Catalog in the AWS Glue Developer Guide. AWS Glue crawlers can automatically infer schema from source data in Amazon S3 and store the associated metadata in the Data Catalog. The AWS Glue Data Catalog provides a unified metadata repository across a variety of data sources and data formats, integrating with Amazon EMR as well as Amazon RDS, Amazon Redshift, Redshift Spectrum, Athena, and any application compatible with the Apache Hive metastore. Metastore or a metastore shared by different clusters, services, applications, or AWSĪWS Glue is a fully managed extract, transform, and load (ETL) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. We recommend this configuration when you require a persistent Using Amazon EMR release 5.8.0 or later, you can configure Spark SQL to use the AWS Glue Data CatalogĪs its metastore.
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