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WALWorkspace

Learn how to create, update, and manage AWS EMR WALWorkspaces using Alchemy Cloud Control.

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}`);