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
      • List Pipelines
      • Creating a New Pipeline
        • Adding Components to Canvas
        • Connecting Components
          • Events [Kafka and Data Sync]
        • Memory and CPU Allocations
      • List Jobs
      • Create Job
        • Job Editor Page
        • Task Components
          • Readers
            • HDFS Reader
            • MongoDB Reader
            • DB Reader
            • S3 Reader
            • Azure Blob Reader
            • ES Reader
            • Sandbox Reader
          • Writers
            • HDFS Writer
            • Azure Writer
            • DB Writer
            • ES Writer
            • S3 Writer
            • Sandbox Writer
            • Mongodb Writer
            • Kafka Producer
          • Transformations
        • PySpark Job
        • Python Job
      • List Components
      • Delete Orphan Pods
      • Scheduler
      • Data Channel
      • Cluster Event
      • Trash
      • Settings
    • Pipeline Workflow Editor
      • Pipeline Toolbar
        • Pipeline Overview
        • Pipeline Testing
        • Search Component in Pipelines
        • Push Pipeline (to VCS/GIT)
        • Pull Pipeline
        • Full Screen
        • Log Panel
        • Event Panel
        • Activate/Deactivate Pipeline
        • Update Pipeline
        • Failure Analysis
        • Pipeline Monitoring
        • Delete Pipeline
      • Component Panel
      • Right-side Panel
    • Testing Suite
    • Activating Pipeline
    • Monitoring Pipeline
  • Components
    • Adding Components to Workflow
    • Component Architecture
    • Component Base Configuration
    • Resource Configuration
    • Intelligent Scaling
    • Connection Validation
    • Readers
      • 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
    • 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
      • 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
    • Transformations
      • SQL Component
      • Dateprep Script Runner
      • File Splitter
      • Rule Splitter
      • Stored Producer Runner
      • Flatten JSON
      • Email Component
      • 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
  • Custom Components
  • Advance Configuration & Monitoring
    • Configuration
      • Default Component Configuration
      • Logger
    • Data Channel
    • Cluster Events
    • System Component Status
  • Version Control
  • Use Cases
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On this page
  • Pushing a Pipeline into VCS
  • Pulling a Pipeline from GIT
  • View Pipeline
  • Searching a Pipeline
  • View Pipeline details from the list Pipeline page
  • Monitor Pipeline
  • Failure Analysis
  • Sharing a Pipeline
  • Activate/Deactivate Pipeline
  1. Getting Started
  2. Homepage

List Pipelines

PreviousHomepageNextCreating a New Pipeline

Last updated 1 year ago

The List Pipelines option opens the available Pipeline List for the logged-in user. All the saved pipelines by a user get listed on this page. The Details tab on the right side of the page displays the basic details of the selected pipeline.

Please Note: The Push to VCS and Pull Pipeline from GIT features are present on the List Pipeline page and as well as on the Pipeline Editor page.

Pushing a Pipeline into VCS

  • Navigate to the Pipeline List page.

  • Select a data pipeline from the displayed list.

  • Click the Push Pipeline icon for the selected data pipeline.

  • The Push into Version Controlling System dialog box appears.

  • Provide a Commit Message (required) for the data pipeline version.

  • Select a Push Type out of the below-given choices to push the pipeline:

    1. 1.Version Control: For versioning of the pipeline in the same environment.

    2. 2.GIT Export (Migration): This is for pipeline migration. The pushed pipeline can be migrated to the destination environment from the migration window in Admin Module.

  • Click the Ok option.

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  • A notification message appears to confirm the completion of the action.

Check out the below-given illustrations on how to attempt Version Control and Pipeline Migration.

Version Control:

Pipeline Migration:

Please Note:

  • The user also gets an option to Push the pipeline to GIT. This action will be considered as Pipeline Migration.

Pulling a Pipeline from GIT

This feature is for pulling the previously moved versions of a pipeline that are committed by the user. This can help a user significantly to recover the lost pipelines or avoid unwanted modifications made to the pipeline.

Check out the walk-through on how to pull a pipeline version from the GIT.

  • Navigate to the Pipeline List page.

  • Select a data pipeline from the displayed list.

  • Click the Pull from GIT icon for the selected data pipeline.

  • The Pull from GIT dialog box appears.

  • Select the data pipeline version by marking the given checkbox.

  • Click the Ok option.

  • A confirmation message appears to assure the users that the concerned pipeline workflow has been imported.

  • Another confirmation message appears to assure the user that the concerned pipeline workflow has been pulled.

Please Note: The pipeline that you pull will be changed to the selected version. Please make sure to manage the versions of the pipeline properly.

View Pipeline

Clicking on the View icon will direct the user to the pipeline workflow editor page.

  • Navigate to the Pipeline List page.

  • Select a Pipeline from the list.

  • Click the View icon.

  • The Pipeline Editor page opens for that pipeline.

Please Note: The user can open the Pipeline Editor for the selected pipeline from the list by clicking the View icon or the Pipeline Workflow Editor icon on the Pipeline List page.

Searching a Pipeline

The user can search for a specific pipeline by using the Search bar on the Pipeline List. By typing a common name all the existing pipelines having that word will list. E.g., By typing the sample all the existing pipelines with the words that contain 'Sam' like sample in it get listed in the following image:​​

View Pipeline details from the list Pipeline page

Click on the pipeline to view the information of the pipeline on the list pipeline page. Once clicked on the pipeline name, a menu will open in the right side of the screen showing all the details of the selected pipeline. Please go through the below demonstration:

  • By clicking on the pipeline name, the following details of that pipeline will be shown in the right side of the screen:

    1. Components: Number of components used in the pipeline.

    2. Created By: Owner name of the pipeline.

    3. Created Date: Pipeline created date.

    4. Updated By: Name of the person who has updated the pipeline recently.

    5. Updated Date: Date when the pipeline is updated.

Monitor Pipeline

Clicking on the monitor pipeline icon will direct the user to the pipeline monitoring page.

  • Navigate to the Pipeline List page.

  • Select a Pipeline from the list.

  • Click the Monitor icon.

  • The user gets redirected to the Pipeline Monitoring page of the selected Pipeline.

  • The Monitor tab opens by default.

  • The user can click the Data Metrics tab if wants to see depiction of the component specific data metrics.

Failure Analysis

Failure analysis is a central failure mechanism. Here, the user can identify the failure reason. Failures of any pipeline stored at a particular location(collection). From there you can query your failed data in the Failure Analysis UI. It displays the failed records along with cause, event time, and pipeline Id.

  • Navigate to the Pipeline List page.

  • Select a Pipeline from the list.

  • Click on the Failure Analysis icon as highlighted in the below image to get redirected to the Failure Analysis page.

Sharing a Pipeline

The user can share a pipeline with one or multiple users and user Groups using the Share Pipeline option.

  • Navigate to the Pipeline List page.

  • Select a Pipeline from the pipeline list.

  • Click on the Share Pipeline icon.

  • The Share Pipeline window opens.

  • Select an option out of the given choices: User (default tab) and User Group or Exclude User (the Exclude User option can be chosen, if the pipeline is already shared with a user/user group and you wish to exclude them from the privilege).

  • Select a user or user(s) from the displayed list of users (In case of the User Group(s) tab, it displays the names of the User Groups.

  • Click the arrow to move the selected User(s)/ User Group(s).

  • The selected user(s)/user group(s) get moved to the box given on the right (In case of the Exclude User option the selected user/ the user moved to the right-side box looses the access of the shared pipeline).

  • Click the Save option.

  • Privilege for the selected pipeline gets updated and the same gets communicated through a message.

  • By completing the steps mentioned above, the concerned pipeline gets successfully shared with the selected user/user group or the selected users can also be excluded from their privileges for the concerned pipeline.

Please Note: A non-admin user can Edit/Modify and View a pipeline but cannot Share it or Delete a shared pipeline.

Activate/Deactivate Pipeline

The user can activate/deactivate the pipeline by clicking on the Activate/ Deactivate icon.

  • Click the List Pipelines icon to open the Pipeline list.

  • Select a Pipeline from the pipeline list.

  • Click on the Activate Pipeline icon.

  • The Confirmation dialog box opens to get the confirmation for the action.

  • Click the YES option.

  • A confirmation message appears.

  • The pipeline gets activated. The Activate Pipeline icon turns into Deactivate Pipeline.

  • the same gets communicated through the Status icon color.

  • Click the Deactivate Pipeline icon.

  • The Confirmation dialog box opens to get the confirmation for the action.

  • Click the YES option.

  • A confirmation message appears.

  • The pipeline gets deactivated. The same gets communicated through the color of the Status icon.

The pipeline pushed to the VCS using the Version Control option, can be pulled directly from the Pull Pipeline from GITicon.

Please Note: Check out the page for the more details on this topic.

Please Note: Refer to the for more details on this.

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Monitoring Pipeline
Failure Analysis
Push For Pipeline Versioning
Pulling a pipeline version committed earlier
Pushing a Pipeline to VCS
Pulling a Pipeline version from the GIT
View icon for a Pipeline
Pipeline Editor page for the selected Pipeline
Monitor icon provided on the Pipeline List page
Monitor tab for a Data Pipeline
Failure Analysis
Accessing the Share icon from the List Pipeline page
Confirmation message after a Pipeline gets shared
Accessing the Deactivate icon
Deactivating a Pipeline from the Pipeline List