Data Flow

• 1: Overview
• 2: How-to guides
• 2.1: Data Flow Services
• 2.2: Installing Ingress Controller
• 3: API Reference
• 4: CLI Reference
• 5: Release Note

1 - Overview

Service Overview

Data Flow is a data processing flow tool that extracts large amounts of data from various data sources and visually creates a processing flow for transformation/transmission of stream/batch data, providing open-source Apache NiFi. Data Flow can be used independently in the Kubernetes Engine cluster environment of the Samsung Cloud Platform or with other application software.

Provided Features

Data Flow provides the following functions.

• Easy installation and management: Data Flow can be easily installed through the web-based Samsung Cloud Platform Console in a standard Kubernetes cluster environment. Based on open-source Apache NiFi, it automatically configures the architecture required for extensible clustering, and automatically installs ZooKeeper, Registry, and management modules. Through Data Flow, you can set up and deploy the setting files, NiFi templates, etc. required for service connection.
• Easy Data Flow Management: The processing flow of stream/batch data can be easily written in a GUI-based manner tailored to the user environment, and efficient data extraction/transmission/processing between systems is possible with GUI-based data flow writing.
• NiFi Template Gallery: You can share/distribute reference NiFi templates. Data Flow provides a gallery of work files for data processing flows frequently used in the field, and users can share their own data processing flow tasks.

Component

Data Flow is composed of Manager and Service modules, and provides Apache NiFi as a package.

Data Flow Manager

Data Flow Manager provides various managing functions to utilize NiFi more efficiently.

• Through Data Flow Manager, customers can upload the Nar File they created and use it in the Processor, and upload setting files to share them.
• Among NiFi templates, high-frequency templates are assetized and provided as a gallery, and can be used immediately with just one click.
• Provides real-time monitoring and resource status monitoring for multiple services configured for Native NiFi Service.
• You can easily provision setting information for NiFi configuration components within the cluster.

Data Flow Service

• It provides a data flow management service based on Apache NiFi.
• It automatically configures the architecture required for extensible clustering based on Apache NiFi, and Nifi, ZooKeeper, Nifi Registry modules are automatically installed.
• When providing Nifi, you can set Description, resource size, access ID/PW, and Host Alias.
• After creating the service, you can modify the Description, necessary resource size, access password, Host Alias, etc. and reflect them in the service.

Server spec type

When creating a Data Flow service, please check the following contents.

• Recommended Service Installation Specifications: CPU 21 core, Memory 57 GB, storage 100 GB or more

Regional Provision Status

Data Flow is available in the following environments.

Preceding Service

This is a list of services that must be pre-configured before creating this service. Please refer to the guide provided for each service and prepare in advance.

2 - 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 version	required	Select 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 Name	Required	Select Cluster to Use
     Ingress Controller	Required	Select 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 name	required	Enter 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 Class	Required	Select the storage class used by the chosen cluster
     Description	Select	Enter additional information or description about the Data Flow within 150 characters
     Domain setting	Mandatory	Enter 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 Selector	Required	To 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
     Account	Required	Enter 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 Alias	Selection	Add 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
     Tag	Selection	Tag 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.

Detailed Information

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

Tag

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

Work History

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

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.

2.1 - Data Flow Services

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

Create Data Flow Services

The user can add a service by selecting the detailed options of the Data Flow service or entering the setting value.

To create Data Flow Services, follow these steps.

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

2. On the Service Home page, click Data Flow Services. It moves to the Data Flow Services list page.

3. On the Data Flow Services list page, click the Create Data Flow Services button. It moves to the Create Data Flow Services page.

4. Data Flow Services Creation page, enter the information required for service creation and select detailed options.

   • Enter Service Information Enter or select the required information in the area.

     Classification	Necessity	Detailed Description
     Data Flow name	required	Data Flow selection
     Flow Service name	Required	Enter Data Flow Services name Start with lowercase English letters and do not end with a special character (-), use lowercase letters, numbers, and special characters (-) to enter 3 to 30 characters
     Storage Class	Required	Select the storage class used by the selected cluster
     Description	Select	Enter additional information or description about Data Flow Services within 150 characters
     Domain Setting	Mandatory	Enter the Data Flow Services domain Start with lowercase English letters and do not end with a special character (-), use lowercase letters, numbers, and special characters (-) to input 3 ~ 50 characters {Data Flow Services name}.{set domain} will be the Data Flow Services access address.
     Node Selector	Required	To 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
     Service Workload	Required	Nifi: A module that provides Apache Nifi services and UI Nifi Registry: A module for setting and deploying Nifi templates Zookeeper: A module that supports distributed processing of Nifi in multiple nodes
     Account	Required	Enter Nifi account ID: Enter a value between 6 and 30 characters, starting with a lowercase letter and using lowercase letters and numbers Password: Enter a value of 8 to 50 characters, including uppercase letters (English), lowercase letters (English), numbers, and special characters (!@#$%^&*) Password Confirmation: Enter the password again, identical to the previous entry

     Fig. Data Flow Services Service Information Input Items

   • Additional Information Input area, please enter or select the required information.

     Classification	Necessity	Detailed Description
     Host Alias	Selection	Add host information to be connected to Data Flow (up to 20 can be created, including default) Use is selected and then + button is clicked Hostname: in the form of hostname or domain, using lowercase letters, numbers, and special characters (-) to enter 3 ~ 63 characters IP: enter in IP format click the X button to delete the firewall between the cluster and the corresponding server must be open to use the added host information
     Tag	Selection	Add tag Add tag button to create and add tags or add existing tags Up to 50 tags can be added Newly added tags are applied after service creation is completed

     Fig. Data Flow Additional Information Input Items

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

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

Data Flow Services detailed information check

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

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

1. 모든 서비스 > Data Analytics > Data Flow menu should be clicked. It moves to the Service Home page of Data Flow.
2. Service Home page, click the Data Flow Services menu. It moves to the Data Flow Services list page.
3. Data Flow Services list page, click on the resource to check the detailed information. Move to the Data Flow Services details page.
   • Data Flow Services Details page displays status information and additional features at the top.

Detailed Information

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

Tag

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

Work History

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

Cancel Data Flow Services

You can cancel unused Data Flow Services to reduce operating costs. However, when canceling a 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 or Data Flow Services, follow the procedure below.

1. Click All Services > Data Analytics > Data Flow menu. It moves to the Service Home page of Data Flow.
2. Service Home page, click the Data Flow Services menu. Move to the Data Flow Services list page.
3. Data Flow Services list page, select the resource to be canceled and click the Data Flow Services delete button.
4. Once the cancellation is complete, please check if the resource has been cancelled on the Data Flow Services list page.

2.2 - Installing Ingress Controller

The user must install the Ingress Controller before creating the Data Flow service. Only one Ingress Controller must be installed in a Kubernetes cluster.

Install Ingress Controller using Container Registry

To install Ingress Controller using Container Registry, follow the procedure below.

1. Prepare the SCR (Samsung Container Registry) to store the Ingress Controller image.
2. Push the Ingress Controller image to SCR(Samsung Container Registry).
3. Download the YAML file used for installation from Ingress GitHub and modify the following items.

kind: Deployment
...
spec:
  template:
    spec:
      containers:
        image: {SCR private endpoint}.{repository name}.{image name}:{tag}

kind: Deployment
...
spec:
  template:
    spec:
      containers:
        image: {SCR private endpoint}.{repository name}.{image name}:{tag}

kind: ConfigMap
...
metadata:
  labels:
    app: ingress-controller

kind: Service
...
metadata:
  labels:
    app: ingress-controller

kind: Deployment
...
metadata:
  labels:
    app: ingress-controller

kind: IngressClass
...
metadata:
  labels:
    app: ingress-controller

kind: ConfigMap
...
metadata:
  labels:
    app: ingress-controller

kind: Service
...
metadata:
  labels:
    app: ingress-controller

kind: Deployment
...
metadata:
  labels:
    app: ingress-controller

kind: IngressClass
...
metadata:
  labels:
    app: ingress-controller

4. You can install the Ingress Controller using the Create Object button in the Workloads > Deployments list in Kubernetes Engine using the modified YAML file.

3 - API Reference

4 - CLI Reference

5 - Release Note

Data Flow