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· 4 min read
Sparsh Mishra


In this blog post, we'll delve into the world of data integration using the powerful Snowflake connectors on the IgniteConnex platform. We'll guide you through setting up three essential Snowflake connectors: Snowflake Client Config Connector, Snowflake: Execute Query Connector, and Snowflake: Bulk Insert Connector. By the end of this guide, you'll have the expertise to seamlessly connect, query, and insert data into Snowflake using IgniteConnex.


Before we start, ensure you have the following prerequisites:

  • Access to the IgniteConnex platform.
  • A Snowflake account with necessary credentials (account URL, username, password).
  • Basic familiarity with SQL and data warehousing concepts.

Section 1: Setting Up Snowflake Client Config Connector

Step 1: Access the IgniteConnex Platform

  1. Log in to your IgniteConnex account.
  2. Navigate to the Connectors section and locate the Snowflake Client Config Connector and import the connector.

Step 2: Configuration

  1. Fill in the required configuration parameters.

    Make sure to fill in the details correctly; these details of your Snowflake account are used to configure the connection. You can find the account name on the bottom left corner of your Snowflake Portal.

Note: Context is the unique identifier for the Snowflake connection. Multiple Connections are uniquely identified through their context.

Note : Account config is in the format of "Org-Account", and can be easily fetched from the snowflake portal.

Step 3: Establish Connection

  1. Save the configuration and establish the connection by hitting that deploy button.
  2. Your Connection details are cached in the global storage; you can view and verify the connection details of your Snowflake Account there.

Section 2: Utilizing Snowflake: Execute Query Connector

Phew!! We have successfully configured the snowflake connection; next, we will be using the Execute Query Connector to execute queries in Snowflake through the IgniteConnex Editor.

Step 1: Locate the Connector

  1. Import the Snowflake - Execute Query Connector.

Step 2: Configuration

  1. Provide the necessary details:

    • Context: The connection context created earlier.

    • Query: Enter the SQL query you want to execute.

    • Binds_Path: Specify the path to your binds (e.g.,

    • Output: Choose 'bulk' or 'stream' for the output mode.

Bulk: If the queried data output should be in one single object

Stream: If the queried data output should be in a stream of events (w.r.t rows)

Step 3: Executing Queries

  1. Configure the connector to execute queries using the provided settings.
  2. Utilize msg.config to pass parameters and override properties.
  3. Binds can be passed in to utilize the feature of binds.
  4. After executing the query, you can see the fetched results in the debug panel.

Section 3: Performing Bulk Inserts with Snowflake: Bulk Insert Connector

Since we have now learned about establishing connection to Snowflake and executing queries on Snowflake through our IgniteConnex, we will now utilize the functionalities of the Snowflake - Bulk Insert Connector.

Step 1: Locate the Connector

  1. In IgniteConnex, locate the Snowflake: Bulk Insert Connector and import it to your IgniteConnex Editor.

Step 2: Configuration

  1. Enter the configuration details:
    • Context: The connection context created earlier.
    • Database: Specify the target database.
    • Schema: Define the target schema.
    • Table: Choose the target table.
    • Binds_Path: Provide the path to your binds (e.g.,
    • Binds_Mapping: Map placeholders to data properties.
    • Output: Choose 'bulk' or 'stream' for the output mode.

Step 3: Bulk Insertions

  1. Configure the connector for bulk insertions based on your requirements.
  2. Use msg.config to customize your insertion process.
  3. Binds should be defined in, which should be an array of objects.
  4. Cross check with your Snowflake database that the data is successfully inserted and is being reflected there.

Advanced Use Cases and Insights

You can try these connectors build flows for some real time

  1. Real-time Analytics: Leverage Execute Query Connector with 'stream' output for real-time data analysis.
  2. Data Migration: Utilize Bulk Insert Connector for large-scale data migrations.
  3. Data Enrichment: Combine Execute Query and Bulk Insert Connectors for enriching data with external sources.


By following this comprehensive guide, you've successfully harnessed the power of Snowflake connectors on IgniteConnex. From setting up connections to executing queries and bulk insertions, you've gained the expertise to seamlessly integrate Snowflake into your data workflows. The connectors' flexibility allows you to explore a wide range of use cases, from real-time analytics to data migrations. With IgniteConnex and Snow

· 5 min read
Sparsh Mishra

Introduction to the Spec API Router

If you've ever struggled with integrating APIs into your projects or wished for a more streamlined process, the IgniteConnex Spec API Router is here to make your dreams come true. This innovative feature seamlessly integrates OpenAPI specifications, dynamically generating HTTP endpoints, and making API integration a breeze. In this blog, we'll take you through every step of the process, from adding the router to routing requests. Let's dive in and harness the power of the Spec API Router!

Step 1: Adding the Spec API Router

To get started with the Spec API Router, follow these simple steps:

  1. Access the Router: Launch your Ignite Editor and locate the Spec API Router in the node palette. It's usually under the "Integration" or "API" section.

  2. Drag and Drop: Drag the Spec API Router onto your workspace. It's that simple!

Step 2: Configuration and Loading

Now that you have the Spec API Router on your workspace, let's configure and load the specifications:

Scenario 1 - Loading API Spec with Public URL

  1. Router Configuration:

    • Name Your Router: Give your router a descriptive name, such as "MyOpenAPIRouter."
    • Choose Endpoint Type: Select the "Public URL" option. This indicates you'll be loading specifications from a URL.
    • Enter URL: Input the complete URL of your OpenAPI document.
  2. Fetching Specifications:

    • Load Specification: Click the "Load Specification" button. The router will fetch the OpenAPI document from the provided URL.
    • Dynamic Endpoints: Witness the magic as the router generates HTTP endpoints corresponding to API operations defined in the document.

Scenario 2 - Loading API Spec with Credentials

Let's now look at loading an API Spec that requires credentials:

  1. Router Configuration:

    • Name Your Router: Assign a name like "MyAPISpecRouter."
    • Choose Endpoint Type: Opt for "IgniteConnex API Spec" to indicate loading with credentials.
    • API Key & Spec ID: Enter your API Key and Spec Resource ID from your OpenAPI Spec on the IgniteConnex Dashboard.
  2. Fetching and Endpoint Generation:

    • Load Specification: Click the "Load Specification" button to fetch the API Spec using your provided credentials.
    • Endpoint Generation: Watch the router create HTTP endpoints dynamically based on the fetched specifications.

Demo Credentials : The provided credentials are for demonstration purposes and can be utilized within the Spec API Router node. This enables the creation of dynamic endpoints through the OpenAPI Spec defined on the IgniteConnex Dashboard.

   - IgniteConnex API Key: 2bdec47b4dc156429c105b037aa1a644553b65ec
- Spec Resource ID : a4504213-bb07-455c-9926-c89aa8646327
## Step 3: Harnessing the Power of `x-entry-node-id`

The Spec API Router introduces an advanced feature for routing requests using x-entry-node-id:

  1. Identify Path: In your OpenAPI specs, pinpoint the path where you want to route requests.

  2. Integrate x-entry-node-id: Insert the x-entry-node-id field into the path, specifying the target node's ID.

  3. Deploy and Enjoy: Deploy the updated specs. Incoming requests to the path will now be directed to your designated node.

Where to Find the Node ID?

The x-entry-node-id serves as the unique identifier for the node you wish to route your request to. You can locate this identifier by following these steps:

  1. Click on the node of interest within your Ignite Editor workspace.
  2. Proceed to the node's information section, which can usually be accessed through an "Info" or "Details" button.
  3. In this section, the specific node ID will be prominently displayed.

This identified node ID functions as your x-entry-node-id, guiding your request to the designated node for routing.

Step 4: Validations for Smoother Integrations

The Spec API Router doesn't just stop at integration. It empowers you with advanced validation capabilities, making sure your API calls are smooth and error-free.

The validations include:

  • x-entry-node-id Validation: Ensure incoming requests are routed to specific nodes based on x-entry-node-id defined in your OpenAPI specs.

    x-entry-node-id: target-node-id
    summary: Route request to a specific node
  • Payload Validation: Ensure that the data you send to your API matches the expected format. For instance, validate JSON payloads against your API's request schema.

    required: true
    $ref: "#/components/schemas/User"
  • Parameter Checks: Validate query parameters, path parameters, and headers against expected types and values.

    - name: userId
    in: path
    required: true
    type: integer
  • Response Validation: Verify that the API responses conform to the defined schema, ensuring consistency in data format.

    description: Successful response
    $ref: "#/components/schemas/User"
  • Security Key Validation: Implement security key validation to ensure only authorized requests are processed.

    - apiKey: []


Congratulations! You've successfully learned how to leverage the IgniteConnex Spec API Router to simplify API integration. From loading OpenAPI specs to generating endpoints, routing requests, and conducting validations, this tool is your key to building efficient and powerful workflows. Say goodbye to integration challenges and embrace the future of API integration with IgniteConnex!