Data Pipeline
  • Data Pipeline
    • About Data Pipeline
    • Design Philosophy
    • Low Code Visual Authoring
    • Real-time and Batch Orchestration
    • Event based Process Orchestration
    • ML and Data Ops
    • Distributed Compute
    • Fault Tolerant and Auto-recovery
    • Extensibility via Custom Scripting
  • Getting Started
    • Homepage
      • Create
        • Creating a New Pipeline
          • Adding Components to Canvas
          • Connecting Components
            • Events [Kafka and Data Sync]
          • Memory and CPU Allocations
        • Creating a New Job
          • Job Editor Page
          • Spark Job
            • Readers
              • HDFS Reader
              • MongoDB Reader
              • DB Reader
              • S3 Reader
              • Azure Blob Reader
              • ES Reader
              • Sandbox Reader
              • Athena Query Executer
            • Writers
              • HDFS Writer
              • Azure Writer
              • DB Writer
              • ES Writer
              • S3 Writer
              • Sandbox Writer
              • Mongodb Writer
              • Kafka Producer
            • Transformations
          • PySpark Job
          • Python Job
          • Python Job(On demand)
          • Script Executer Job
          • Job Alerts
        • Register as Job
        • Exporting a Script From Data Science Lab
        • Utility
        • Git Sync
      • Overview
        • Jobs
        • Pipeline
      • List Jobs
      • List Pipelines
      • Scheduler
      • Data Channel & Cluster Events
      • Trash
      • Settings
    • Pipeline Workflow Editor
      • Pipeline Toolbar
        • Pipeline Overview
        • Pipeline Testing
        • Search Component in Pipelines
        • Push & Pull Pipeline
        • Pull Pipeline
        • Full Screen
        • Log Panel
        • Event Panel
        • Activate/Deactivate Pipeline
        • Update Pipeline
        • Failure Analysis
        • Delete Pipeline
        • Pipeline Component Configuration
        • Pipeline Failure Alert History
        • Format Flowchart
        • Zoom In/Zoom Out
        • Update Component Version
      • Component Panel
      • Right-side Panel
    • Testing Suite
    • Activating Pipeline
    • Pipeline Monitoring
    • Job Monitoring
  • Components
    • Adding Components to Workflow
    • Component Architecture
    • Component Base Configuration
    • Resource Configuration
    • Intelligent Scaling
    • Connection Validation
    • Readers
      • GCS Reader
      • S3 Reader
      • HDFS Reader
      • DB Reader
      • ES Reader
      • SFTP Stream Reader
      • SFTP Reader
      • Mongo DB Reader
        • MongoDB Reader Lite (PyMongo Reader)
        • MongoDB Reader
      • Azure Blob Reader
      • Azure Metadata Reader
      • ClickHouse Reader (Docker)
      • Sandbox Reader
      • Azure Blob Reader (Docker)
      • Athena Query Executer
    • Writers
      • S3 Writer
      • DB Writer
      • HDFS Writer
      • ES Writer
      • Video Writer
      • Azure Writer
      • ClickHouse Writer (Docker)
      • Sandbox Writer
      • MongoDB Writers
        • MongoDB Writer
        • MongoDB Writer Lite (PyMongo Writer)
    • Machine Learning
      • DSLab Runner
      • AutoML Runner
    • Consumers
      • GCS Monitor
      • Sqoop Executer
      • OPC UA
      • SFTP Monitor
      • MQTT Consumer
      • Video Stream Consumer
      • Eventhub Subscriber
      • Twitter Scrapper
      • Mongo ChangeStream
      • Rabbit MQ Consumer
      • AWS SNS Monitor
      • Kafka Consumer
      • API Ingestion and Webhook Listener
    • Producers
      • WebSocket Producer
      • Eventhub Publisher
      • EventGrid Producer
      • RabbitMQ Producer
      • Kafka Producer
      • Synthetic Data Generator
    • Transformations
      • SQL Component
      • File Splitter
      • Rule Splitter
      • Stored Producer Runner
      • Flatten JSON
      • Pandas Query Component
      • Enrichment Component
      • Mongo Aggregation
      • Data Loss Protection
      • Data Preparation (Docker)
      • Rest Api Component
      • Schema Validator
    • Scripting
      • Script Runner
      • Python Script
        • Keeping Different Versions of the Python Script in VCS
    • Scheduler
    • Alerts
      • Alerts
      • Email Component
    • Job Trigger
  • Custom Components
  • Advance Configuration & Monitoring
    • Configuration
      • Default Component Configuration
      • Logger
    • Data Channel
    • Cluster Events
    • System Component Status
  • Version Control
  • Use Cases
Powered by GitBook
On this page
  • Basic Information Tab
  • Steps to configure the meta information of OPC UA
  1. Components
  2. Consumers

OPC UA

PreviousSqoop ExecuterNextSFTP Monitor

OPC UA (OPC Unified Architecture) is a communication protocol and standard used for collecting and transmitting data from industrial devices and systems to a data processing or analytics platform. OPC UA is commonly employed in data pipelines for handling data from industrial and manufacturing environments, making it an integral part of industrial data pipelines.

All component configurations are classified broadly into the following sections:

  • Meta Information

  • ​

Basic Information Tab

It is the default tab to open for the component while configuring it.

  • Invocation Type: Select an invocation mode out of ‘Real-Time’ or ‘Batch’ using the drop-down menu.

  • Deployment Type: It displays the deployment type for the reader component. This field comes pre-selected.

  • Container Image Version: It displays the image version for the docker container. This field comes pre-selected.

  • Failover Event: Select a failover Event from the drop-down menu.

  • Batch Size (min 10): Provide the maximum number of records to be processed in one execution cycle (Min limit for this field is 10).

Steps to configure the meta information of OPC UA

  • URL: Provide URL link. In OPC UA (OPC Unified Architecture), a URL (Uniform Resource Locator) is used to specify the address or location of an OPC UA server or endpoint. URLs in OPC UA are typically used to establish connections to servers and access the services provided by those servers.

  • Message Security Mode: Select a message security mode from the drop-down menu (The supported options are ‘Sign’ and ‘SignAndEncrypt’).

  • Security Policy: Select a policy using the drop-down menu. Three types of security policies are supported:

    • Basic256: Basic256 is a security profile that provides encryption and signature capabilities for OPC UA communication. It uses a 256-bit encryption key. All messages exchanged between clients and servers are encrypted using a 256-bit encryption key, providing data confidentiality. Messages are digitally signed to ensure data integrity and authenticity. Signature algorithms ensure that the message has not been tampered with during transmission. Basic256 uses symmetric encryption, meaning both parties share the same secret key for encryption and decryption.

    • Basic256Sha256: Basic256Sha256 is an enhanced security profile that builds upon the features of Basic256. It offers stronger security by using SHA-256 cryptographic algorithms for key generation and message digests.

    • Basic128Rsa15: Basic128Rsa15 is a security profile that uses 128-bit encryption and RSA-15 key exchange. It is considered less secure compared to Basic256 and Basic256Sha256. Basic128Rsa15 uses 128-bit encryption for data confidentiality. It relies on the RSA-15 key exchange mechanism, which is considered less secure than newer RSA and elliptic curve methods.

  • Certificate File Name: This name gets reflected based on the Choose File option provided for the Certificate file.

  • Choose File: Browse a certificate file by using this option.

  • PEM File Name: This name gets reflected based on the Choose File option provided for the PEM file.

  • Choose File: Browse a PEM file by using this option.

  • Source Node: Enter the source node. The "Source Node" refers to the entity or component within the OPC UA server that is the source or originator of an event or notification. It represents the object or node that generates an event when a specific condition or state change occurs.

  • Event Node: Enter the event node. The "Event Node" refers to the specific node in the OPC UA AddressSpace that represents an event or notification that can be subscribed to by OPC UA clients. It is a node that defines the structure and properties of the event, including the event's name, severity, and other attributes.

​Basic Information​
Resource Configuration​
Basic information tab
Meta information tab of OPC UA