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How-to guides

The user can enter the essential information of Data Flow through the Samsung Cloud Platform Console and create the service by selecting detailed options.

Creating Data Flow

You can create and use the Data Flow service in the Samsung Cloud Platform Console.

To create a Data Flow, follow the next procedure.

  1. Click on the menu for all services > Data Analytics > Data Flow. It moves to the Service Home page of Data Flow.

  2. On the Service Home page, click the Create Data Flow button. It moves to the Create Data Flow page.

  3. Data Flow Creation page where you enter the information needed to create a service and select detailed options.

    • Version Selection area, please select the necessary information.

      Division
      Necessity
      Detailed Description
      Data Flow versionrequiredSelect version of the selected image
      • Provide a list of versions of the server image provided
      Fig. Data Flow version selection items

    • Cluster Selection area, please enter or select the required information. To install Data Flow, creating nodes for the Kubernetes cluster and a workspace is required first.

      Classification
      Necessity
      Detailed Description
      Cluster NameRequiredSelect Cluster to Use
      Ingress ControllerRequiredSelect the Ingress Controller installed in the cluster
      • In the Details tab of the installed Ingress Controller, add the following information to the ConfigMap item:
        • Key: allow-snippet-annotations
        • Value: true
      Fig. Data Flow cluster selection items

    • Service Information Input area, please enter or select the necessary information.

      Classification
      Necessity
      Detailed Description
      Data Flow namerequiredEnter Data Flow name
      • Start with lowercase English letters and do not end with a special character (-), using lowercase English letters, numbers, and special characters (-) to input 3 ~ 30 characters
      Storage ClassRequiredSelect the storage class used by the chosen cluster
      DescriptionSelectEnter additional information or description about the Data Flow within 150 characters
      Domain settingMandatoryEnter Data Flow domain
      • Start with lowercase English letters and do not end with a special character (-), using lowercase letters, numbers, and special characters (-) to input 3 to 50 characters
      • {Data Flow name}.{set domain} will be the Data Flow access address.
      Node SelectorRequiredTo install on a specific node, enter a distinguishable label from the node’s labels
      • If the node label is entered incorrectly, an installation error may occur, so check the node label in advance
      • The node label can be checked in the yaml file of the corresponding node
      AccountRequiredEnter Data Flow Manager account
      • ID: Starts with lowercase English letters and uses lowercase letters and numbers to enter a value between 6 and 30
      • Password: Includes uppercase (English), lowercase (English), numbers, and special characters (!@#$%^&*) and enter 8 to 50 characters
      • Password Confirmation: Enter the password exactly once more
      Host AliasSelectionAdd host information to be connected to Data Flow (up to 20 can be created, including default)
      • Select “Use”, then click the + button
      • Hostname: Enter in hostname or domain format, using lowercase, numbers, and special characters (-) with 3-63 characters
      • IP: Enter in IP format
      • To delete, click the X button
      • The firewall between the cluster and the server must be open to use the added host information
      Fig. Data Flow service information input items

    • Enter Additional Information area, please enter or select the necessary information.

      Division
      Necessity
      Detailed Description
      TagSelectionTag addition
      • Tag addition button to create and add tags or add existing tags possible
      • Up to 50 tags can be added
      • Newly added tags are applied after service creation is complete
      Fig. Data Flow Additional Information Input Items

  4. In the Summary panel, review the detailed information and estimated charges, then click the Complete button.

    • Once creation is complete, check the created resource on the Data Flow list page.

Check Data Flow Detailed Information

You can check and modify the list of all resources and detailed information of Data Flow. The Data Flow details page consists of detailed information, tags, and work history tabs.

To check the detailed information of Data Flow, follow the next procedure.

  1. Click on the menu for all services > Data Analytics > Data Flow. It moves to the Service Home page of Data Flow.
  2. On the Service Home page, click the Data Flow menu. It moves to the Data Flow list page.
  3. Data Flow list page, click on the resource to check the detailed information. It moves to the Data Flow details page.
    • Data Flow Details page top shows status information and additional function information.
ClassificationDetailed Description
Status DisplayData Flow Status
  • Creating: being created
  • Running: operating, Data Flow Services can be created
  • Updating: settings are being updated
  • Terminating: service is being terminated
  • Error: error occurred during creation or service is in an abnormal state
Hosts file setting informationButton to check and copy host file information to access Data Flow
Service CancellationButton to cancel the service
Fig. Data Flow status information and additional functions

Detailed Information

On the Data Flow List page, you can check the detailed information of the selected resource and modify the information if necessary.

ClassificationDetailed Description
ServiceService Category
Resource TypeService Name
SRNSamsung Cloud Platform의 고유 자원 ID
  • 클러스터 SRN을 의미
Resource NameResource Name
  • Means cluster name
Resource IDUnique resource ID in the service
CreatorUser who created the service
Creation TimeTime when the service was created
ModifierUser who modified the service information
Revision TimeTime when service information was revised
Cluster NameServer cluster name composed of servers
Storage ClassStorage class used by the selected cluster
DescriptionAdditional information or description about Data Flow
Domain SettingData Flow Domain Name
Node SelectorNode Label
Web UrlData Flow URL
AccountData Flow Manager account
Host AliasHost information to be connected to Data Flow
Fig. Data Flow detailed information tab items

Tag

On the Data Flow List page, you can check the tag information of the selected resource, and add, change, or delete it.

ClassificationDetailed Description
Tag listTag list
  • Check Key, Value information of the tag
  • Up to 50 tags can be added per resource
  • When entering a tag, search and select from the existing Key and Value list
Fig. Data Flow tag tab items

Work History

You can check the work history of the selected resource on the Data Flow list page.

ClassificationDetailed Description
Work history listResource change history
  • Check work time, resource ID, resource name, work details, event topic, work result, and worker information
Fig. Data Flow job history tab detailed information items

Data Flow cancellation

You can cancel unused Data Flow to reduce operating costs. However, if you cancel the service, the operating service may be stopped immediately, so you should consider the impact of stopping the service sufficiently before proceeding with the cancellation work.

To cancel Data Flow, follow the next procedure.

  1. Click on the menu for all services > Data Analytics > Data Flow. It moves to the Service Home page of Data Flow.
  2. Service Home page, click the Data Flow menu. It moves to the Data Flow list page.
  3. Data Flow list page, select the resource to be canceled and click the Service Cancellation button.
  4. Once the cancellation is complete, check the Data Flow list page to see if the resource has been cancelled.
Notice
  • Data Flow You must first delete the connected Data Flow Services to cancel.
  • Data Flow will be cancelled, and the created namespace will also be deleted.
Overview
Data Flow Services