Connect and Query Live GMO MakeShop Data in Databricks with CData Connect Cloud

Databricks is a leading AI cloud-native platform that unifies data engineering, machine learning, and analytics at scale. Its powerful data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes. Integrating Databricks with CData Connect Cloud gives organizations live, real-time access to GMO MakeShop data without the need for complex ETL pipelines or data duplication—streamlining operations and reducing time-to-insights.

In this article, we'll walk through how to configure a secure, live connection from Databricks to GMO MakeShop using CData Connect Cloud. Once configured, you'll be able to access GMO MakeShop data directly from Databricks notebooks using standard SQL—enabling unified, real-time analytics across your data ecosystem.

Overview

Here is an overview of the simple steps:

1. Step 1 — Connect and Configure: In CData Connect Cloud, create a connection to your GMO MakeShop source, configure user permissions, and generate a Personal Access Token (PAT).
2. Step 2 — Query from Databricks: Install the CData JDBC driver in Databricks, configure your notebook with the connection details, and run SQL queries to access live GMO MakeShop data.

Prerequisites

Before you begin, make sure you have the following:

1. An active GMO MakeShop account.
2. A CData Connect Cloud account. You can log in or sign up for a free trial here.
3. A Databricks account. Sign up or log in here.

Step 1: Connect and Configure a GMO MakeShop Connection in CData Connect Cloud

1.1 Add a Connection to GMO MakeShop

CData Connect Cloud uses a straightforward, point-and-click interface to connect to available data sources.

1. Log into Connect Cloud, click Sources on the left, and then click Add Connection in the top-right.

2. Select "GMO MakeShop" from the Add Connection panel.

3. Enter the necessary authentication properties to connect to GMO MakeShop.

   Configuring Access to GMO MakeShop

   GMO MakeShop requires AccessCode for each API. To obtain MembersAccessCode, OrdersAccessCode, ProductsAccessCode, and ShopId, follow the steps below:

   • Log in to the GMO MakeShop Store Manager and click Create Shop.
   • Click any target connection setting from External System Connection in the left-hand navigation menu. If you cannot find it in the menu, please contact GMO Makeshop.
   • Product Data Connection Settings: Click Issue to retrieve the authentication code and ProductsAccessCode.
   • Order Data Connection Settings: First select Get Order Information > Change Order Information settings. Then click Issue to retrieve the authentication code and OrdersAccessCode.
   • Members Data Connection Settings: Select Get/Post/Update/Delete Members Information settings. Then click Issue to retrieve the authentication code and MembersAccessCode.
   < li>Members Authentication Connection Settings: Click Issue to retrieve the authentication code and ProductsAccessCode.

Authenticating to GMO MakeShop Account

Set the following connection properties to connect:

• ShopId: Set the GMO MakeShop Store ID of the connection destination. The GMO MakeShop Store ID is the same as the ID for login.
• OrdersAccessCode: Set the orders access code retrieved from Order Data Connection Settings. This property is required to access the Orders table.
• ProductsAccessCode: Set the products access code retrieved from Product Data Connection Settings. This property is required to access the Products table.
• MembersAccessCode: Set the members access code retrieved from Members Data Connection Settings. This property is required to access the Members table.
• MemberAuthenticationCode: Set the member authentication code retrieved from Members Authentication Connection Settings. This property is required to execute MemberAuthenticationConfirm.
• Password: Specify the password for the GMO MakeShop Store Manager login user. This property is required to execute ProductCategoryRegistrationOrModification, ProductMemberGroupPriceRegistrationOrModification, ProductOptionRegistrationOrModification, and ProductRegistrationOrModification.

4. Click Save & Test in the top-right.
5. Navigate to the Permissions tab on the GMO MakeShop Connection page and update the user-based permissions based on your preferences.

1.2 Generate a Personal Access Token (PAT)

When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. PAT functions as an alternative to your login credentials for secure, token-based authentication. It is a best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. Note: The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Step 2: Connect and Query GMO MakeShop Data in Databricks

Follow these steps to establish a connection from Databricks to GMO MakeShop. You'll install the CData JDBC Driver for Connect Cloud, add the JAR file to your cluster, configure your notebooks, and run SQL queries to access live GMO MakeShop data data.

2.1 Install the CData JDBC Driver for Connect Cloud

1. In CData Connect Cloud, click the Integrations page on the left. Search for JDBC or Databricks, click Download, and select the installer for your operating system.
2. Once downloaded, run the installer and follow the instructions:
   • For Windows: Run the setup file and follow the installation wizard.
   • For Mac/Linux: Unpack the archive and move the folder to /opt or /Applications. Make sure you have execute permissions.
3. After installation, locate the JAR file in the installation directory:
   • Windows:

     C:\Program Files\CData\CData JDBC Driver for Connect Cloud\lib\cdata.jdbc.connect.jar

   • Mac/Linux:

     /Applications/CData/CData JDBC Driver for Connect Cloud/lib/cdata.jdbc.connect.jar

2.2 Install the JAR File on Databricks

1. Log in to Databricks. In the navigation pane, click Compute on the left. Start or create a compute cluster.
2. Click on the running cluster, go to the Libraries tab, and click Install New at the top right.
3. In the Install Library dialog, select DBFS, and drag and drop the cdata.jdbc.connect.jar file. Click Install.

2.3 Query GMO MakeShop Data in a Databricks Notebook

Notebook Script 1 — Define JDBC Connection:

1. Paste the following script into the notebook cell:

driver = "cdata.jdbc.connect.ConnectDriver"
url = "jdbc:connect:AuthScheme=Basic;User=your_username;Password=your_pat;URL=https://cloud.cdata.com/api/;DefaultCatalog=Your_Connection_Name;"

2. Replace:
   • your_username - With your CData Connect Cloud username
   • your_pat - With your CData Connect Cloud Personal Access Token (PAT)
   • Your_Connection_Name - With the name of your Connect Cloud data source, from the Sources page
3. Run the script.

Notebook Script 2 — Load DataFrame from GMO MakeShop data:

1. Add a new cell for this second script. From the menu on the right side of your notebook, click Add cell below.
2. Paste the following script into the new cell:

remote_table = spark.read.format("jdbc") \
  .option("driver", "cdata.jdbc.connect.ConnectDriver") \
  .option("url", "jdbc:connect:AuthScheme=Basic;User=your_username;Password=your_pat;URL=https://cloud.cdata.com/api/;DefaultCatalog=Your_Connection_Name;") \
  .option("dbtable", "YOUR_SCHEMA.YOUR_TABLE") \
  .load()

3. Replace:
   • your_username - With your CData Connect Cloud username
   • your_pat - With your CData Connect Cloud Personal Access Token (PAT)
   • Your_Connection_Name - With the name of your Connect Cloud data source, from the Sources page
   • YOUR_SCHEMA.YOUR_TABLE - With your schema and table, for example, GMOMakeShop.Members
4. Run the script.

Notebook Script 3 — Preview Columns:

1. Similarly, add a new cell for this third script.
2. Paste the following script into the new cell:

display(remote_table.select("ColumnName1", "ColumnName2"))

3. Replace ColumnName1 and ColumnName2 with the actual columns from your GMO MakeShop structure (e.g. MemberId, MemberName, etc.).
4. Run the script.

You can now explore, join, and analyze live GMO MakeShop data directly within Databricks notebooks—without needing to know the complexities of the back-end API and without replicating GMO MakeShop data.

Try CData Connect Cloud Free for 14 Days

Ready to simplify real-time access to GMO MakeShop data? Start your free 14-day trial of CData Connect Cloud today and experience seamless, live connectivity from Databricks to GMO MakeShop.

Low code, zero infrastructure, zero replication — just seamless, secure access to your most critical data and insights.