LogoLogo
Back to OsmosDeveloper DocsOsmos BlogWhat's New
  • Welcome to Osmos
  • 👋Getting Started with Osmos
    • Terminology
  • 🎉What's New
  • 🧩Osmos API Reference
  • ⌨️Osmos Chat
  • 👩‍💻Developer Docs
    • Manage API Keys
    • Embedding an Osmos Uploader
    • Embedding Uploader Jobs Table
    • Turning on Advanced Mode Uploader
    • Customizing Uploader Styling
    • Passing Parameterized Fields
    • Configuring Uploader's "Recall" functionality
    • Optional Uploader Settings
    • Uploader Submission Callback
    • Configuring AutoClean for your Uploader
    • Uploader Client-Side Validation
      • Data Validators
      • Checking for Duplicate values in a field
      • Creating Dropdown-Controlled Fields
      • Dynamic Dropdown Options
      • Dropdown Interaction with Validation Functions
    • Validation and Transformation Webhooks
      • OpenAPI Validation Webhook Testing
    • Parser Webhook for file based connectors
  • 🔠Datasets
    • Osmos Datasets
      • Uploading Data to your Table
      • Creating Primary and Foreign keys
      • Osmos Dataset Destination Connector
      • Osmos Dataset Source Connector
      • Dataset Edits
    • Datasets Query Builder
      • Query Builder Metadata
    • Performing Look Ups
      • Performing Joins
        • Types of Joins
  • ⏏️Uploader
    • Creating an Osmos Uploader
      • Testing your Osmos Uploader
    • Uploader Validation Summary
    • Advanced Mode
      • Overview
      • Process
    • Standard Mode
      • Overview
      • AutoClean
      • Process
    • AI AutoMapping
    • Uploaders Page
    • Uploader Details Page
  • 🔀Pipelines
    • Step 1. Select the Source
    • Step 2. Select a Destination
    • Step 3. Map & Transform Data
    • Step 4. Schedule the Pipeline
    • Step 5. Review & Confirm
    • Pipelines Page
    • Pipeline Details Page
  • ⏩Data Transformations
    • AutoMap
    • Column Mapping & Data Cleanup Panel
    • QuickFixes
    • AI Value Mapping
    • AI AutoClean
    • Lookups
      • Performing Lookups
    • SmartFill
    • Formulas
      • Date & Time Formulas
        • DateTime Format Specifiers
        • Timezone specifiers
      • Math Formulas and Operators
      • Logical Formulas & Operators
        • True & False Casting
      • Text Formulas
      • Other Formulas
    • Deduplication
  • ↘️Source Connectors
    • Amazon S3
    • Azure Blob Storage
    • BigQuery
    • Email
    • FTP
    • Google Cloud Storage (GCS)
    • Google Drive
    • Google Sheets
    • HTTP API (Call an Osmos API)
    • HTTP API (Osmos Calls Your API)
    • Osmos Dataset
    • Snowflake
    • Accessing Sources behind firewall
  • ↖️Destination Connectors
    • Amazon S3
    • BigQuery
    • FTP
    • Google Cloud Storage (GCS)
    • Google Drive
    • Google Sheets
    • HTTP API (Call an Osmos API)
    • HTTP API (Osmos Calls Your API)
      • Passing Dynamic Tokens in the API Header
    • MySQL
    • Osmos Dataset
    • PostgreSQL
    • Snowflake
    • Accessing Destinations behind firewall
  • 🗂️Projects
  • ⚙️Administration
    • Email Notifications
  • 🔒Security
  • 📞Support
  • Back to Osmos.io
Powered by GitBook
On this page
  • Overview
  • Building an Osmos Uploader with Your Table
  • Uploading Table Data
  • Dataset Table Actions
  • View Table Schema
  • Download and View Data
  • Cloning Table Data

Was this helpful?

  1. Datasets
  2. Osmos Datasets

Uploading Data to your Table

In this section you will learn how to upload data into a table.

PreviousOsmos DatasetsNextCreating Primary and Foreign keys

Last updated 8 months ago

Was this helpful?

Overview

Once you have created your table, you will need to upload data. The easiest way to import data is through the Osmos Uploader. It is a one-step process to create an Osmos Uploader and an Osmos Dataset Destination Connector.

Building an Osmos Uploader with Your Table

Create an Uploader directly from your newly created Table.

Step 1: From the Table list select Create Uploader.

Your new Osmos Uploader is ready for use!

Uploading Table Data

Dataset Table Actions

From a Dataset Table, you can take three actions:

  1. View Table Schema

  2. Download data in the table

  3. Clone a Table.

View Table Schema

In the table schema, you can Clone the table, delete the table, view the schema, and view related connectors.

Default view displays the schema:

Selecting the Connectors tab displays the related connector(s).

Download and View Data

Clicking on the download icon under Actions downloads all of the data that resides in your Table. This will download your dataset into a CSV file format for review.

Other methods:

  1. Click on the Query Builder icon for the Dataset. This will launch the Query Builder for you to create the table or cross-table view.

  2. Click on the individual Table Name. This will launch table detail via the Query Builder.

  3. You can also view the imported data directly from the Uploader. You can link directly by clicking on the Uploader Status field or the Actions, on the right.

Cloning Table Data

Tables can be duplicated into existing Datasets or a different Dataset. Note, that this process will duplicate all of the data in addition to the schema. You can edit the schema before the completion of the cloning.

Step 1: From the Table list select the Clone Table icon.

Step 2: Select a Project ID.

Step 3: Select a Dataset Name.

Step 4: Provide a Table Name.

Step 5: Select Clone.

Step 6: Make any edits to the newly created table. These include adding/deleting/changing field names, field types, and required status', along with setting primary keys.

Step 7: Select Save.

Osmos automatically creates both the Uploader and a. When creating the Uploader directly from the Table, the name of both the Uploader and the Connector will be a combination of the dataset & table names.

You can use the Osmos Uploader within Osmos to import data into your table. All standard Osmos Uploader functionality applies. Click here to learn more about .

🔠
Osmos Uploaders
new Destination Connector