1. Versioning data schemas using AWS Glue Schema Registry

    TypeScript

    The AWS Glue Schema Registry is a feature of AWS Glue that allows you to create and manage schemas (data definitions) for your data streams. A schema defines the structure of your data—what fields it contains, and how those fields are to be data-typed. With the schema registry, you can ensure that your data is consistent and that all applications using the data can handle it correctly.

    Using Pulumi, we can define and manage these data schemas programmatically. We can also handle the versioning of these schemas, allowing us to evolve our data structures over time while maintaining compatibility with different versions of the schema.

    Below is a TypeScript program utilizing Pulumi's AWS provider that sets up an AWS Glue Schema Registry and a schema with versioning. Keep in mind that before you run this code, you need to have Pulumi CLI installed, and your AWS credentials configured.

    This program does the following:

    1. Creates a new AWS Glue Schema Registry named my-data-schemas.
    2. Defines a schema within the registry with a specified data format.
    3. Configures the versioning and compatibility mode for the schema.
    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; // Create an AWS Glue Schema Registry. const registry = new aws.glue.Registry("my-data-schemas", { description: "My Data Schemas Registry", registryName: "my-data-schemas-registry", }); // Create an AWS Glue Schema in the Registry. const myDataSchema = new aws.glue.Schema("my-data-schema", { // Specify the registry ID where the schema will live registryArn: registry.arn, // Identify the data format for the schema. For example, 'AVRO' or 'JSON'. dataFormat: "AVRO", // The name of the schema schemaName: "my-data-schema", // Description of the schema description: "An example schema that describes my data", // Compatibility setting allows to control schema evolution compatibility: "NONE", // NONE, DISABLED, BACKWARD, FORWARD, or FULL // Define schema definition in JSON format or as a reference to an existing file schemaDefinition: `{ "type": "record", "name": "Customer", "namespace": "com.example", "fields": [ {"name": "customer_id", "type": "string"}, {"name": "name", "type": "string"} ] }`, }); // Export the Registry ARN and Schema Name for reference. export const registryArn = registry.arn; export const schemaName = myDataSchema.schemaName;

    With this program, you've successfully created a framework for managing your data schemas using AWS Glue Schema Registry. The registry object represents the container for hosting multiple schemas. The myDataSchema resource is a specific schema within that registry which defines your data structure. The compatibility property ensures that as you update your schemas, they're either checked for compatibility with previous versions (BACKWARD, FORWARD, or FULL) or not (NONE, DISABLED). The schemaDefinition is the definition of the schema, which you will need to provide in a specific format, such as AVRO or JSON.

    To run this Pulumi program:

    1. Save the code to a file (e.g., index.ts).
    2. Run pulumi up from your terminal in the directory containing your code. This command will create the AWS resources as defined.

    For more information on the related AWS Glue Schema and Registry resources, you can visit Pulumi's AWS documentation:

    Make sure to replace the dataFormat and schemaDefinition with the format and schema specific to your use case. The registry and schema names ('my-data-schemas-registry' and 'my-data-schema') are examples, and you can change them to suit your naming conventions.


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