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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  • 👁️‍🗨️ Example
  • Parameters

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  1. Data Pipeline Operations
  2. Load data with Storage to Tables

Storage to Tables DDL files

This is the description of the DDL files used for a Storage to Tables data operation.

You need to provide one DDL file for each database table that will be created. Each DDL file should be associated with a Markdown file for documentation purposes.

👁️‍🗨️ Example

{
  "schema": [
    {
      "name": "COMPANYCODE",
      "type": "STRING",
      "description": "Company code."
    },
    {
      "name": "STOREID",
      "type": "STRING",
      "description": "ID of the store. Foreign key to stores table."
    },
    {
      "name": "STOREDESC",
      "type": "STRING",
      "description": "Store name."
    },
    {
      "name": "STORETYPE",
      "type": "STRING",
      "description": "Store type."
    }
  ]
}
Parameter
Description

schema

type: array

mandatory

GBQ table schema. It contains a list of fields corresponding to the number of columns found in the CSV.

Each field described has three attributes:

  • name: Name of the field. Keep column names as in the input file.

  • type: Use only the STRING type at this stage to avoid cast errors. The type can modified with a transformation operation later on.

  • description: Text describing the meaning of the data.

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Last updated 1 year ago

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Parameters

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