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WALWorkspace

The WALWorkspace resource allows you to manage AWS EMR WALWorkspaces for your data processing and analytics needs.

Create a basic WALWorkspace with a specified name:

import AWS from "alchemy/aws/control";
const basicWALWorkspace = await AWS.EMR.WALWorkspace("basic-walworkspace", {
WALWorkspaceName: "MyFirstWALWorkspace",
Tags: [
{ Key: "Environment", Value: "Development" },
{ Key: "Project", Value: "DataAnalytics" }
]
});

Configure a WALWorkspace with additional options, such as tags for better resource management:

const advancedWALWorkspace = await AWS.EMR.WALWorkspace("advanced-walworkspace", {
WALWorkspaceName: "AdvancedWALWorkspace",
Tags: [
{ Key: "Environment", Value: "Production" },
{ Key: "Project", Value: "MachineLearning" },
{ Key: "Owner", Value: "DataTeam" }
],
adopt: true // Enable resource adoption if it already exists
});

Create a WALWorkspace that utilizes tagging for organizational purposes:

const taggedWALWorkspace = await AWS.EMR.WALWorkspace("tagged-walworkspace", {
WALWorkspaceName: "TaggedWALWorkspace",
Tags: [
{ Key: "Department", Value: "Research" },
{ Key: "CostCenter", Value: "CC12345" }
]
});

Retrieve information about an existing WALWorkspace including its ARN and timestamps:

const existingWALWorkspace = await AWS.EMR.WALWorkspace("existing-walworkspace-info", {
WALWorkspaceName: "ExistingWALWorkspace"
});
// Assuming you have a method to log or handle resource information
console.log(`Workspace ARN: ${existingWALWorkspace.Arn}`);
console.log(`Created at: ${existingWALWorkspace.CreationTime}`);
console.log(`Last updated at: ${existingWALWorkspace.LastUpdateTime}`);