To address your issues with installing the PostgreSQL driver on your Google Cloud Data Fusion instance, it's important to clarify the process. The add-iam-policy-binding command in your script is only modifying IAM policies and not actually installing the driver. You need to upload the driver JAR file to a specific bucket in Google Cloud Storage, and then configure your Data Fusion instance to use this driver.
Below are the revised steps to correctly upload and install the PostgreSQL driver:
Step 1: Create Data Fusion Instance with Terraform
First, create the Data Fusion instance using Terraform as described earlier.
Step 2: Upload PostgreSQL Driver to Cloud Storage
Create a Python script to upload the PostgreSQL driver to a Cloud Storage bucket.
Python Script to Upload Driver:
import subprocess
# Configuration
instance_name = "my-data-fusion-instance"
region = "your-gcp-region"
bucket_name = f"{instance_name}-{region}-artifacts"
driver_path = "path/to/your/postgresql-driver.jar"
# Upload the driver to the bucket
upload_command = [
"gsutil", "cp", driver_path, f"gs://{bucket_name}/drivers/postgresql-driver.jar"
]
# Run the upload command
subprocess.run(upload_command, check=True)
print("Driver uploaded successfully.")
Step 3: Configure Data Fusion to Use the Uploaded Driver
After uploading the driver, configure the Data Fusion instance to use this driver. Unfortunately, this step cannot be directly done via Terraform or Python using gcloud. Instead, you need to manually add the driver through the Data Fusion UI or automate the process using the Data Fusion REST API.
Using the Data Fusion REST API to Configure the Driver
You can use the Google Cloud Data Fusion REST API to configure your instance to use the uploaded driver. Below is an example of how to achieve this.
Python Script to Configure Driver:
import requests
import google.auth
from google.auth.transport.requests import Request
# Configuration
project_id = "your-gcp-project"
region = "your-gcp-region"
instance_name = "my-data-fusion-instance"
bucket_name = f"{instance_name}-{region}-artifacts"
driver_path = "drivers/postgresql-driver.jar"
# Get credentials and initialize API client
credentials, project = google.auth.default()
credentials.refresh(Request())
headers = {
"Authorization": f"Bearer {credentials.token}",
"Content-Type": "application/json"
}
# Define the plugin configuration
plugin_config = {
"label": "PostgreSQL Driver",
"artifact": {
"scope": "SYSTEM",
"name": "postgresql",
"version": "1.0.0",
"type": "jdbc",
"properties": {
"path": f"gs://{bucket_name}/{driver_path}"
}
}
}
# Add the plugin to the Data Fusion instance
url = f"https://datafusion.googleapis.com/v1/projects/{project_id}/locations/{region}/instances/{instance_name}/namespaces/default/artifacts"
response = requests.post(url, headers=headers, json=plugin_config)
if response.status_code == 200:
print("PostgreSQL driver configured successfully.")
else:
print(f"Failed to configure driver: {response.content}")
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