We created the same table structure in both the environments. Once created these EXTERNAL tables are stored in the AWS Glue Catalog. Basically what we’ve told Redshift is to create a new external table - read only table that contains the specified columns and has its data located in the provided S3 path as text files. The AWS Glue Data Catalog also provides out-of-box integration with Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. This job reads the data from the raw S3 bucket, writes to the Curated S3 bucket, and creates a Hudi table in the Data Catalog. I've crawled a file in glue and was successfully able to add the schema from the glue catalog into redshift. The S3 file structures are described as metadata tables in an AWS Glue Catalog database. If you know the schema of your data, you may want to use any Redshift client to define Redshift external tables directly in the Glue catalog using Redshift client. tables residing over s3 bucket or cold data. In certain cases, you can migrate your Athena Data Catalog to an AWS Glue Data Catalog. Solution 2: Declare the entire nested data as one string using varchar(max) and query it as non-nested structure Step 1: Update data in S3. Setting up Amazon Redshift Spectrum requires creating an external schema and tables. Create an Amazon Redshift cluster with or without an IAM role assigned to the cluster. I stored my data in an Amazon S3 bucket and used an AWS Glue crawler to make my data available in the AWS Glue data catalog. Create an AWS Glue Data Catalog with a database using data from the data lake in Amazon S3, with either an AWS Glue crawler, Amazon EMR, AWS Glue, or Athena.The database should have one or more tables pointing to different Amazon S3 paths. Use Amazon Redshift Spectrum to join to data that is older than 13 months. In order to use the data in Athena and Redshift, you will need to create the table schema in the AWS Glue Data Catalog. Note. You can create Amazon Redshift external tables by defining the structure for files and registering them as tables in the AWS Glue Data Catalog. HOW TO IMPORT TABLE METADATA FROM REDSHIFT TO GLUE USING CRAWLERS How to add redshift connection in GLUE? Create an AWS Glue Data Catalog with a database using data from the data lake in Amazon S3, with either an AWS Glue crawler, Amazon EMR, AWS Glue, or Athena.The database should have one or more tables pointing to different Amazon S3 paths. You can now start using Redshift Spectrum to execute SQL queries. The job also creates an Amazon Redshift external schema in the Amazon Redshift cluster created by the CloudFormation stack. That’s it. Create a daily job in AWS Glue to UNLOAD records older than 13 months to Amazon S3 and delete those records from Amazon Redshift. Select all remaining defaults. To do that you will need to login to the AWS Console as normal and click on the AWS Glue service. Two advantages here, still you can use the same table with Athena or use Redshift Spectrum to query this. Using this approach, the crawler creates the table entry in the external catalog on the user’s behalf after it determines the column data types. Once the crawler finished its crawling then you can see this table on the Glue catalog, Athena, and Spectrum schema as well. To access the data residing over S3 using spectrum we need to perform following steps: Create Glue catalog. CatalogId (string) -- The ID of the Data Catalog where the tables reside. If you created tables using Amazon Athena or Amazon Redshift Spectrum before August 14, 2017, databases and tables are stored in an Athena-managed catalog, which is separate from the AWS Glue Data Catalog. Once you add your table definitions to the Glue Data Catalog, they are available for ETL and also readily available for querying in Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum so that you can have a common view of your data between … You may need to start typing “glue” for the service to appear: Using the Glue Catalog as the metastore can potentially enable a shared metastore across AWS services, applications, or AWS accounts. AWS Redshift’s Query Processing engine works the same for both the internal tables i.e. Create a Glue ETL job that runs "A new script to be authored by you" and specify the connection created in step 3. For instructions, see Working with Crawlers on the AWS Glue Console. However, the identity and access management (IAM) role must have policies in place to access the AWS Glue Data Catalog. Run a crawler to create an external table in Glue Data Catalog. You can now query the Hudi table in Amazon Athena or Amazon Redshift. Crawler-Defined External Table – Amazon Redshift can access tables defined by a Glue Crawler through Spectrum as well. Querying the data lake in Athena. You can do this if your cluster is in an AWS Region where AWS Glue is supported and you have Redshift Spectrum external tables in the Athena Data Catalog. I’ve created a new database called geographic_units in the AWS Glue catalogue and have run the following commands in Redshift to create an external schema and an external table for the file in Redshift Spectrum:. Extract the data of tbl_syn_source_1_csv and tbl_syn_source_2_csv tables from the data catalog. Hewlett-Packard acquired Aruba in 2015, making … 3. Using the code above, a table called cloudfront_logs is created on Amazon S3, with a catalog structure registered in the shared Amazon Glue data catalog. In addition, you may consider using Glue API in your application to upload data into the AWS Glue Data Catalog. 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