fix(spark): change slug, filename, url MTA-7125

menu/changelogs.json

@@ -150,8 +150,8 @@
         "label": "Data Warehouse for ClickHouse®"
       },
       {
-        "category": "data-lab",
-        "label": "Data Lab for Apache Spark™"
+        "category": "apache-spark",
+        "label": "Clusters for Apache Spark™"
       },
       {
         "category": "nats",

menu/filters.json

@@ -115,8 +115,8 @@
   {
     "items": [
       {
-        "category": "data-lab",
-        "label": "Data Lab for Apache Spark™"
+        "category": "apache-spark",
+        "label": "Clusters for Apache Spark™"
       },
       {
         "category": "nats",

menu/navigation.ts

@@ -10,7 +10,7 @@ import { clustersForKafkaMenu } from "../pages/clusters-for-kafka/menu"
 import { cockpitMenu } from "../pages/cockpit/menu"
 import { containerRegistryMenu } from "../pages/container-registry/menu"
 import { cpanelHostingMenu } from "../pages/cpanel-hosting/menu"
-import { dataLabMenu } from "../pages/data-lab/menu"
+import { dataLabMenu } from "../pages/apache-spark/menu"
 import { dataOrchestratorMenu } from "../pages/data-orchestrator/menu"
 import { dataWarehouseMenu } from "../pages/data-warehouse/menu"
 import { dediboxMenu } from "../pages/dedibox/menu"

pages/data-lab/faq.mdx → pages/apache-spark/faq.mdx

@@ -59,7 +59,7 @@ Yes, you can run your cluster on either CPUs or GPUs. Scaleway leverages Nvidia'
 
 Yes, you can connect a different notebook via Private Networks.
 
-Refer to the [dedicated documentation](/data-lab/how-to/use-private-networks/) for comprehensive information on how to connect to an Apache Spark™ cluster over Private Networks.
+Refer to the [dedicated documentation](/apache-spark/how-to/use-private-networks/) for comprehensive information on how to connect to an Apache Spark™ cluster over Private Networks.
 
 ## Usage and management
 

pages/data-lab/how-to/access-notebook.mdx → pages/apache-spark/how-to/access-notebook.mdx

@@ -11,13 +11,13 @@ import Requirements from '@macros/iam/requirements.mdx'
 
 This page explains how to access and use the notebook environment of your Apache Spark™ cluster using the Scaleway console.
 
-You can also use your Apache Spark™ cluster using a separate notebook (JupyterLab, Zeppelin, etc.) running on a Scaleway Instance within the same Private Network as your cluster. Refer to the [dedicated documentation](/data-lab/how-to/use-private-networks/) for more information.
+You can also use your Apache Spark™ cluster using a separate notebook (JupyterLab, Zeppelin, etc.) running on a Scaleway Instance within the same Private Network as your cluster. Refer to the [dedicated documentation](/apache-spark/how-to/use-private-networks/) for more information.
 
 <Requirements />
 
 - A Scaleway account logged into the [console](https://console.scaleway.com)
 - [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
-- Created an [Apache Spark™ cluster](/data-lab/how-to/create-data-lab/) with a notebook
+- Created an [Apache Spark™ cluster](/apache-spark/how-to/create-spark-cluster/) with a notebook
 - Created an [IAM API key](/iam/how-to/create-api-keys/)
 
 ## How to access the notebook of your cluster

pages/data-lab/how-to/access-spark-ui.mdx → pages/apache-spark/how-to/access-spark-ui.mdx

@@ -15,7 +15,7 @@ This page explains how to access the Apache Spark™ UI of your Apache Spark™
 
 - A Scaleway account logged into the [console](https://console.scaleway.com)
 - [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
-- Created an [Apache Spark™ cluster](/data-lab/how-to/create-data-lab/)
+- Created an [Apache Spark™ cluster](/apache-spark/how-to/create-spark-cluster/)
 - Created an [IAM API key](/iam/how-to/create-api-keys/)
 
 1. Click **Apache Spark™** under **Data & Analytics** on the side menu. The **Clusters for Apache Spark™** page displays.

pages/data-lab/how-to/create-data-lab.mdx → pages/apache-spark/how-to/create-spark-cluster.mdx

@@ -29,7 +29,7 @@ Clusters for Apache Spark™ is a product designed to assist data scientists and
 
 6. Enter the desired number of worker nodes.
 
-7. Add a [persistent volume](/data-lab/concepts/#persistent-volume) if required, then enter a volume size according to your needs.
+7. Add a [persistent volume](/apache-spark/concepts/#persistent-volume) if required, then enter a volume size according to your needs.
 
     <Message type="note">
     Persistent volume usage depends on your workload, and only the actual usage will be billed, within the limit defined. A minimum of 1 GB is required to run the notebook.

pages/data-lab/how-to/manage-delete-data-lab.mdx → pages/apache-spark/how-to/manage-delete-spark-cluster.mdx

@@ -14,7 +14,7 @@ This page explains how to manage and delete your Apache Spark™ cluster.
 
 - A Scaleway account logged into the [console](https://console.scaleway.com)
 - [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
-- Created an [Apache Spark™ cluster](/data-lab/how-to/create-data-lab/)
+- Created an [Apache Spark™ cluster](/apache-spark/how-to/create-spark-cluster/)
 
 ## How to manage an Apache Spark™ cluster
 
@@ -23,8 +23,8 @@ This page explains how to manage and delete your Apache Spark™ cluster.
 2. Click the name of the cluster you want to manage. The **Overview** tab of the cluster displays. From this page, you can:
     - Consult the configuration of your cluster.
     - View the network information of your cluster.
-    - [Access the Apache Spark™ UI](/data-lab/how-to/access-spark-ui/) of your cluster.
-    - [Access the notebook environment](/data-lab/how-to/access-notebook/) of your cluster.
+    - [Access the Apache Spark™ UI](/apache-spark/how-to/access-spark-ui/) of your cluster.
+    - [Access the notebook environment](/apache-spark/how-to/access-notebook/) of your cluster.
 
 3. Click the **Settings** tab.
 
@@ -37,7 +37,7 @@ This page explains how to manage and delete your Apache Spark™ cluster.
     - [Delete your cluster](#how-to-delete-an-apache-sparktm-cluster).
 
 <Message type="note">
-Once you have created a cluster, you cannot edit the node type. You must [create a new cluster](/data-lab/how-to/create-data-lab/) instead.
+Once you have created a cluster, you cannot edit the node type. You must [create a new cluster](/apache-spark/how-to/create-spark-cluster/) instead.
 </Message>
 
 ## How to delete an Apache Spark™ cluster

pages/data-lab/how-to/use-private-networks.mdx → pages/apache-spark/how-to/use-private-networks.mdx

@@ -11,7 +11,7 @@ import Requirements from '@macros/iam/requirements.mdx'
 
 [Private Networks](/vpc/concepts/#private-networks) allow your Clusters for Apache Spark™ cluster to communicate in an isolated and secure network without needing to be connected to the public internet.
 
-At the moment, Apache Spark™ clusters can only be attached to a Private Network [during their creation](/data-lab/how-to/create-data-lab/), and cannot be detached and reattached to another Private Network afterward.
+At the moment, Apache Spark™ clusters can only be attached to a Private Network [during their creation](/apache-spark/how-to/create-spark-cluster/), and cannot be detached and reattached to another Private Network afterward.
 
 For full information about Scaleway Private Networks and VPC, see our [dedicated documentation](/vpc/) and [best practices guide](/vpc/reference-content/getting-most-private-networks/).
 
@@ -220,6 +220,6 @@ Your notebook hosted on an Instance is ready to be used over Private Networks.
     - `<INSTANCE_PN_IP>` can be found in the **Private Networks** tab of your Instance. Make sure to only copy the IP, and not the `/22` part.
     </Message>
 
-8. [Access the Apache Spark™ UI](/data-lab/how-to/access-spark-ui/) of your cluster. The list of completed applications displays. From here, you can inspect the jobs previously started using `spark-submit`.
+8. [Access the Apache Spark™ UI](/apache-spark/how-to/access-spark-ui/) of your cluster. The list of completed applications displays. From here, you can inspect the jobs previously started using `spark-submit`.
 
 You successfully run workloads on your cluster from an Instance over a Private Network.

pages/data-lab/index.mdx → pages/apache-spark/index.mdx

@@ -7,7 +7,7 @@ description: Dive into Scaleway Clusters for Apache Spark™ with our quickstart
    productName="Clusters for Apache Spark™"
    productLogo="dataLab"
    description="Clusters for Apache Spark™ is designed to assist data scientists and data engineers perform calculations on a remotely managed Apache Spark infrastructure."
-   url="/data-lab/quickstart"
+   url="/apache-spark/quickstart"
    label="Clusters for Apache Spark™ Quickstart"
 />
 
@@ -19,27 +19,27 @@ description: Dive into Scaleway Clusters for Apache Spark™ with our quickstart
         icon="rocket"
         description="Learn how to create, use, manage, and delete an Apache Spark™ cluster in a few steps."
         label="View Quickstart"
-        url="/data-lab/quickstart/"
+        url="/apache-spark/quickstart/"
     />
     <SummaryCard
         title="Concepts"
         icon="info"
         description="Core concepts that give you a better understanding of Scaleway Clusters for Apache Spark™."
         label="View Concepts"
-        url="/data-lab/concepts/"
+        url="/apache-spark/concepts/"
     />
     <SummaryCard
         title="How-tos"
         icon="help-circle-outline"
         description="Check our guides to creating, using, and managing Apache Spark™ clusters and their features."
         label="View How-tos"
-        url="/data-lab/how-to/"
+        url="/apache-spark/how-to/"
     />
 </Grid>
 
 ## Changelog
 
 <ChangelogList
-    productName="data-lab"
+    productName="apache-spark"
     numberOfChanges={3}
 />

pages/data-lab/menu.ts → pages/apache-spark/menu.ts

@@ -2,7 +2,7 @@ export const dataLabMenu = {
   items: [
     {
       label: 'Overview',
-      slug: '../data-lab',
+      slug: '../apache-spark',
     },
     {
       label: 'Concepts',
@@ -20,7 +20,7 @@ export const dataLabMenu = {
       items: [
         {
           label: 'Create a Spark™ cluster',
-          slug: 'create-data-lab',
+          slug: 'create-spark-cluster',
         },
         {
           label: 'Access the notebook',
@@ -36,7 +36,7 @@ export const dataLabMenu = {
         },
         {
           label: 'Manage and delete a cluster',
-          slug: 'manage-delete-data-lab',
+          slug: 'manage-delete-spark-cluster',
         },
       ],
       label: 'How to',
@@ -48,5 +48,5 @@ export const dataLabMenu = {
     },
   ],
   label: 'Clusters for Apache Spark™',
-  slug: 'data-lab',
+  slug: 'apache-spark',
 }

pages/data-lab/quickstart.mdx → pages/apache-spark/quickstart.mdx

@@ -46,7 +46,7 @@ This documentation explains how to quickly create an Apache Spark™ cluster, ac
 
 Once the cluster is created, you are directed to its **Overview** page.
 
-Refer to the [dedicated documentation](/data-lab/how-to/create-data-lab/) for detailed information on how to create a cluster.
+Refer to the [dedicated documentation](/apache-spark/how-to/create-spark-cluster/) for detailed information on how to create a cluster.
 
 ## How to connect to your cluster's notebook
 

pages/data-lab/troubleshooting/cannot-run-data-lab.mdx → pages/apache-spark/troubleshooting/cannot-run-spark-cluster.mdx

@@ -13,7 +13,7 @@ import Requirements from '@macros/iam/requirements.mdx'
 
 - A Scaleway account logged into the [console](https://console.scaleway.com)
 - [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
-- An [Apache Spark™ cluster](/data-lab/how-to/create-data-lab/)
+- An [Apache Spark™ cluster](/apache-spark/how-to/create-spark-cluster/)
 
 ## Timeout errors
 
@@ -27,7 +27,7 @@ The Apache Spark™ cluster has zero worker nodes provisioned and cannot raise a
 
 ### Solution
 
-[Edit your cluster configuration](/data-lab/how-to/manage-delete-data-lab/) by provisioning at least one worker node to be able to run calculations with it.
+[Edit your cluster configuration](/apache-spark/how-to/manage-delete-spark-cluster/) by provisioning at least one worker node to be able to run calculations with it.
 
 <Message type="note">
 You can provision zero worker nodes again to retain you cluster and notebook configurations while minimizing its cost.

pages/data-lab/troubleshooting/index.mdx → pages/apache-spark/troubleshooting/index.mdx

@@ -19,13 +19,13 @@ productIcon: DistributedDataLabProductIcon
     <Card
       title="Clusters for Apache Spark™ FAQ"
       description="General info on Clusters for Apache Spark™."
-      url="/data-lab/faq/"
+      url="/apache-spark/faq/"
       label="See more"
     />
 </Grid>
 
 ## Clusters for Apache Spark™ troubleshooting pages
 
 <LinksList>
-  - [Troubleshooting Clusters for Apache Spark™ execution issues](/data-lab/troubleshooting/cannot-run-data-lab)
+  - [Troubleshooting Clusters for Apache Spark™ execution issues](/apache-spark/troubleshooting/cannot-run-spark-cluster)
 </LinksList>