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      • Introduction to Langstack
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      • Basics and essentials
        • What is an API gateway?
        • How to work with an API gateway
        • What is an Entity?
        • What is an Action box?
          • How to create and work with Action boxes
          • How to perform search in Actions
        • What is an Action?
          • How to create and work with Actions
          • Error propagation
          • Actions in Langstack applications
        • What is a Data type?
          • Simple Data types
        • What is a Variable?
          • Naming rules of a Variable
        • What is a Function?
          • Working with Functions
        • Navigating to a Variable or a Function
        • Implicit Type Conversion (ITC)
        • Explicit Type Conversion
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      • User management
        • What is a Privilege?
        • What are Groups?
        • What are Users?
      • Introduction to REST API
        • API Name
        • API Group name
        • Request and Response body
          • Request body
          • How to create and work with a Request body
          • Response body
          • How to create and work with a Response body
        • Query strings
          • How to create and work with Query strings
        • Headers
          • How to create and work with Headers
        • Path parameter
        • Create your first API: "Hello World!"
          • Working with API options
        • Exercise 1: GET REST API & Return Response Object
          • Step 1: Create API
          • Step 2: Test the API
        • Exercise 2: Delete a published API
        • Next Steps
      • Introduction to Entities
        • Fields
        • Records
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        • Options for an Entity
        • Exercise 1: Customer Accounts and Activities
          • Customer accounts
            • Step 1: Create the Customers Entity
            • Step 2: Create the API
            • Step 3: Update entity through API
          • Customer Activities
            • Step 1: Create the Activities entity
            • Step 2: Create a “1 to Many” relation
            • Step 3: Create the API
            • Step 4: Update entity through API
        • Exercise 2: Customer Records
          • Step 1: Create the API
          • Step 2: Test the API
        • Next Steps
      • Programming with Entities
        • Create
        • Read
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        • Delete
        • JXPResponse
        • Next Steps
      • Using Triggers
        • After Create Trigger
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        • After Delete Trigger
        • Exercise: Entity & Entity triggers
        • Step 1: Define “After Create” Trigger
        • Step 2: Define “After Update” Trigger
      • Connectors
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        • SFTP Connector
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        • Next Steps
      • Introduction to ETL pipeline
        • Create an ETL pipeline
        • Data Formats in ETL pipeline
          • Reader
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        • Shared variables for ETL pipeline
        • ETL functions execution sequences overview
        • Displaying Functions
        • How to perform Search in ETL pipeline
        • Exercise 1: Skip Customer records
          • Step 1: Create the ETL pipeline
          • Step 2: Skip records based on Customer_ID
          • Step 3: Store skipped records in a list
          • Step 4: Store the Skipped Customer record
        • Exercise 2: ETL pipeline, CSV source & FTP Connector
        • Exercise 3: ETL pipeline, Database Source & MySQL Connector
        • Exercise 4: ETL pipeline, CSV Source & FTP Connector using Sections
          • Step 1: Create the ETL pipeline
          • Step 2: Reformat the Join_Date Values and define added fields
      • Multiple Executions, Time Duration, Linked App and Execution Status
        • Skip execution while in progress
        • Time duration settings
        • Linked App
        • Options for Delay Types
        • Execution status
      • Validation pipeline
        • Sequence of Validation pipeline
        • Exercise: Customer Information
          • Step 1: Create a Validation pipeline
          • Step 2: Create the API gateway
          • Step 3: Test the Validation pipeline
      • Introduction to Process
        • Create a process
        • Shared variables for a process
        • Exercise: Customer Anniversary Email Activity
          • Step 1: Check if the join date matches the current date
          • Step 2: Test the Process
      • Introduction to Flows & Flow components
        • What is a Flow?
        • What is a Flow component?
          • What is a Flow component Event?
        • Exercise 1: Customer Anniversary Email
          • Step 1: Create the Flow component
          • Step 2: Create the Flow
          • Step 3: Trigger the Flow
          • Step 4: Check records in the target entity
        • Exercise 2: Store list of customers
          • Step 1: Create the Flow component
          • Step 2: Create the Flow
          • Step 3: Create the API
    • 🌍Tour of Langstack (coming soon)
  • 📘In depth learning
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    • 🔗Connectors
      • MS-SQL connector
        • Data type conversions between Langstack and MSSQL
        • Handling data loss in data type conversions
        • Setting up MS-SQL connector
        • MS-SQL connector as Reader and Writer
        • Using MS-SQL connector in ETL pipeline
          • MS-SQL connector as a source
          • MS-SQL connector as a destination
      • Google Drive connector
        • Set up Google Drive Connector
        • Adding Google Drive path in ETL pipeline Streams
        • Setting up GCP Account, GCP Project, API Enablement, and Credentials (Prerequisites)
          • OAuth 2.0 Client Credentials
          • Service Account Key Credentials
          • API Key Credentials
          • Authorization through Redirect URLs
        • Using Google Drive connector in ETL pipeline
          • Specifying file or folder paths
            • Direct file link
            • Folder link and file name
            • Folder path and file name
            • Folder path excluding file name
            • Folder path including file name
          • Google Drive connector as a source
          • Google Drive connector as a destination
      • AWS connector
        • Introduction
        • Set up AWS S3 Connector
          • OAuth 2.0 Client Type
          • Access Key
          • Public
        • Setting up AWS Account
          • Retrieve Client ID and Client Secret
        • Set up Amazon Web Services (Cognito) Console
          • Retrieve Identity Pool Id
          • Manage Permissions for Roles
          • Adding Redirect URL in Amazon Developer Console
          • User Consent for OAuth 2.0 Client through Login with Amazon
          • Retrieve Access Key Credentials
        • Creating a bucket in AWS
        • Using S3 connector in ETL pipeline
          • Specifying paths
          • Examples
            • AWS S3 connector as a source
            • AWS S3 connector as a destination
      • OneDrive connector
        • Set up OneDrive Connector
        • Setting up Microsoft Azure Account
        • Add URL to Authorized Redirect URLs
        • User Consent for Establishing OneDrive Connection
        • Usage of OneDrive Connector in ETL pipeline
          • Examples
          • OneDrive connector as a source
          • OneDrive connector as a destination
      • Dropbox connector
        • Set up Dropbox Connector
        • Setting up Dropbox Account
        • Add URL to Authorized Redirect URLs
        • User Consent for Establishing Dropbox Connection
        • Usage of Dropbox connector in ETL pipeline
          • Dropbox connector path settings
          • Examples
            • Dropbox connector as a source
            • Dropbox connector as destination
  • 🗃️Use Cases (Coming soon)
    • Use Case 1
    • Use Case 2
    • Use Case 3
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  • Columns in Execution Status
  • Changing Execution Status
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  3. Multiple Executions, Time Duration, Linked App and Execution Status

Execution status

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Last updated 2 years ago

  • When an ETL pipeline or Process is launched, a request is sent to the server to initiate the execution of the ETL pipeline or Process. Similarly, when the execution of an ETL pipeline or Process is canceled, a request is sent to the server to cancel the execution.

  • The Execution Status section contains a table that provides the details related to the ETL pipeline or Process when it is launched. These details get populated automatically.

Columns in Execution Status

The Execution Status consists of the following information displayed in relevant columns.

  • Launch Time: This is when the ETL pipeline or Process is launched, i.e., the request for execution of this ETL pipeline or Process is sent to the server.

  • Launched By: This detail explains how the execution of the ETL pipeline or Process was caused, i.e., whether the application was launched by the user manually, through the Scheduler, or any other application.

    • Manual: If the application is launched manually by the user by clicking the “Run” button, this field displays the detail as “Manual”.

    • Scheduler: If the application was scheduled to be launched, this field displays the detail as “Scheduler”.

  • Status and Description: The “Status” column states the current status of the ETL pipeline or Process and the “Description” column explains the status.

    • ETL pipeline or Process is Running: If the application is in execution state, the status is displayed as “Running” and the description is displayed as “App is started”.

    • ETL pipeline or Process is Queued: If the application is just launched and is not running, the status is displayed as “Queued” and the description is displayed as “App is queued for execution”.

    • ETL pipeline or Process is Canceled: If the application execution is canceled, the status is displayed as “Cancel Request” and the description is displayed as “App execution cancel request”.

  • Start Time: This detail states the actual day and time the ETL pipeline or Process execution started. This is displayed in the format YYYY-MM-DD hh:mm:ss.

  • Last heartbeat: This detail states the time of the last heartbeat of the ETL pipeline or Process, i.e., the day and time up to the very last second. This is displayed in the format YYYY-MM-DD hh:mm:ss.

  • Actions: Users can cancel the execution of the launched or scheduled ETL pipeline or Process by clicking the delete button.

Changing Execution Status

Users can change the execution status as follows:

  • If the ETL pipeline or Process is in progress and this button is clicked, the status of the application changes from “Running” to “Cancel Request”.

  • If the application is queued and this button is clicked, the status of the application changes from “Queued” to “Cancel Request”.

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