Tailer Documentation
  • What is Tailer Platform?
  • Getting Started
    • Prepare your local environment for Tailer
    • Install Tailer SDK
    • Set up Google Cloud Platform
    • Encrypt your credentials
  • [Tutorial] Create a first data pipeline
    • Introduction
    • Prepare the demonstration environment
    • Copy files from one bucket to another
    • Load files into BigQuery tables
    • Prepare data
    • Build predictions
    • Export data
    • Congratulations!
    • [Video] Automatic Script
      • SQL script file
      • DDL script file
      • Tables to Tables script file
      • Launch configuration and furthermore
  • Data Pipeline Operations
    • Overview
    • Set constants with Context
      • Context configuration file
    • Move files with Storage to Storage
      • Storage to Storage configuration file
    • Load data with Storage to Tables
      • Storage to Tables configuration file
      • Storage to Tables DDL files
    • Stream incoming data with API To Storage
      • API To Storage configuration file
      • API To Storage usage examples
    • Transform data with Tables to Tables
      • Tables to Tables configuration file
      • Table to Table SQL and DDL files
    • Export data with Tables to Storage
      • [V3] Table to Storage configuration file
      • Table to Storage SQL file
      • [V1-V2: deprecated] Table to Storage configuration file
    • Orchestrate processings with Workflow
      • [V2] Workflow configuration file
      • [V1: deprecated] Workflow configuration file
    • Convert XML to CSV
      • Convert XML to CSV configuration file
    • Use advanced features with VM Launcher
      • Process code with VM Launcher
        • VM Launcher configuration file for code processing
      • Encrypt/Decrypt data with VM Launcher
        • VM Launcher configuration file for data encryption
        • VM Launcher configuration file for data decryption
    • Monitoring and Alerting
      • Monitoring and alerting parameters
    • Asserting Data quality with Expectations
      • List of Expectations
    • Modify files with File Utilities
      • Encrypt/Decrypt data with File Utilities
        • Configuration file for data encryption
        • Configuration file for data decryption
    • Transfer data with GBQ to Firestore
      • Table to Storage: configuration file
      • Table to Storage: SQL file
      • VM Launcher: configuration file
      • File-to-firestore python file
  • Tailer Studio
    • Overview
    • Check data operations' details
    • Monitor data operations' status
    • Execute data operations
    • Reset Workflow data operations
    • Archive data operations
    • Add notes to data operations and runs
    • View your data catalog
    • Time your data with freshness
  • Tailer API
    • Overview
    • Getting started
    • API features
  • Release Notes
    • Tailer SDK Stable Releases
    • Tailer Beta Releases
      • Beta features
      • Beta configuration
      • Tailer SDK API
    • Tailer Status
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  • Why reset a Workflow data operation
  • How to proceed

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  1. Tailer Studio

Reset Workflow data operations

Learn how to reset Workflow data operations from Tailer Studio.

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Last updated 3 years ago

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Why reset a Workflow data operation

Tailer Studio allows you to reset a Workflow data operation. The reset feature deletes all the triggered jobs so the workflow can start from scratch, as when the it was just deployed. (This feature is also available using the .)

Example of a case requiring a workflow reset

We have three jobs, named JA, JB, and JC which trigger a job named JT when they are all successfully executed.

If a situation happens where JA and JB are OK, but JC is not, JT is not triggered. You fix and relaunch JC, which becomes OK, and JT is triggered. The next morning, you launch JC again to make sure it works: you get JA(0), JB(0) and JC(1). When JA and JB are automatically started a few hours later, JC is already considered as OK, which creates an unbalanced situation. A reset is necessary.

How to proceed

To reset a Workflow data operation:

  1. Log in to .

  2. In the left navigation panel, in the Data workflows section, select Workflow.

  3. In the right panel, access the Status tab.

  4. Click the Configuration id link corresponding to the data operation of your choice.

  5. In the upper right corner of the Status tab, click the Reset button. The list of triggering jobs is emptied.

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