Hi experts,
I have a datafusion instance created with terraform and it works fie, because the system can create and destroy instances on demand or scheduling to run many pipelines but I need to install an extra driver to use PostgreSQL.
The driver must be installed after create the instance with terraform or during creation. Is that possible using terraform or any kind of python script?.
Thks
While Terraform alone does not support installing custom drivers directly during the creation of a Data Fusion instance, it can be combined with post-creation scripts to achieve this. Begin by configuring the google provider in Terraform and defining the google_data_fusion_instance resource. This resource handles the creation of the Data Fusion instance. To install the PostgreSQL driver after the instance is created, use a null_resource in Terraform with a local-exec provisioner. This provisioner can run a Python script that uploads and installs the driver.
Installing a PostgreSQL driver in a Google Cloud Data Fusion instance can be achieved using Terraform or Python scripts. Below is a detailed, yet concise, guide on both approaches.
Using Terraform
Terraform is a preferred method for Infrastructure as Code (IaC). While Terraform alone does not support installing custom drivers directly during the creation of a Data Fusion instance, it can be combined with post-creation scripts to achieve this.
Provider and Resource Configuration: Begin by configuring the google provider in Terraform and defining the google_data_fusion_instance resource. This resource handles the creation of the Data Fusion instance.
Post-Creation Script Execution: To install the PostgreSQL driver after the instance is created, use a null_resource in Terraform with a local-exec provisioner. This provisioner can run a Python script that uploads and installs the driver.
Example Terraform Configuration:
provider "google" {
project = "your-gcp-project"
region = "your-gcp-region"
}
resource "google_data_fusion_instance" "data_fusion" {
name = "my-data-fusion-instance"
region = "your-gcp-region"
type = "BASIC"
}
resource "null_resource" "install_postgresql_driver" {
depends_on = [google_data_fusion_instance.data_fusion]
provisioner "local-exec" {
command = "python3 path/to/upload_driver.py"
}
}
Alternatively, a Python script can be used to interact with the Google Cloud Data Fusion API and manage the driver installation.
Driver Installation Process: First, configure the script to upload the PostgreSQL driver to a Google Cloud Storage bucket associated with your Data Fusion instance. Then, use gcloud commands to install the driver on the instance.
Example Python Script:
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/"
]
# Run the upload command
subprocess.run(upload_command, check=True)
# Install the driver using gcloud
install_command = [
"gcloud", "data-fusion", "instances", "add-iam-policy-binding",
instance_name,
"--region", region,
"--member", "allUsers",
"--role", "roles/datafusion.user"
]
# Run the install command
subprocess.run(install_command, check=True)
print("Driver uploaded and installed successfully.")
Important Considerations
Driver Compatibility: Ensure the PostgreSQL driver version is compatible with your Data Fusion environment.
Security: Manage SSH keys and permissions securely when using scripts to upload and install drivers.
Using Terraform, you can create a Data Fusion instance and employ a null_resource with a local-exec provisioner to run a Python script for the driver installation. Alternatively, a Python script alone can manage the upload and installation of the PostgreSQL driver. Both methods ensure that the PostgreSQL driver is effectively installed in your Data Fusion instance, leveraging the power of automation and Infrastructure as Code.
Hi,
Thanks for your answer. We are trying to do these steps and we are looking at some situations:
1- In Python Script under install command sentences is not possible to combine "
"gcloud", "data-fusion", "instances", "add-iam-policy-binding",
Because the system does not support this mix. If we try “gcloud”, “data-fusion”, “instances”, or “gcloud”, “beta”,“data-fusion”, “instances”, “add-iam-policy-binding”, it works but in the end the driver is not installed. The python script only provides access to multiple users to use data fusion with user role but the driver has not being installed.
Do you know how can we solve the parametrization issue without using beta data fusion sentence.
2- Thi script only provide access to he role but doesn’t execute or instal the driver, how can we include the final installation driver to this python script?.
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}")
Hi,
Thanks for your answer. We are doing all the steps but now we are having problems while trying to use the python code to configure the driver using the artifacts URL.
If we try to execute all code we receive an error 404 , the requested URL was not found. Thats all that we know.
It is weird because we are trying with other commands to text API (for example list instances or restart the instance and it works) and everything is working fine.
Do we need to do another extra Process to automate the process using API rest? maybe we need to install something additional or configure an extra topic?.
Maybe we need something like CDAP or another thing to obtain a success answer?
To address the issue of installing a PostgreSQL driver in a Data Fusion instance using the REST API, it is crucial to ensure all configurations and steps are correct to avoid a 404 error. Here’s are steps you can take:
Google Cloud SDK Installation: Ensure that the Google Cloud SDK is installed and configured properly. Authentication and usage of gcloud commands should work without issues.
API Endpoint and Authorization: Verify that the endpoint URL and authorization headers in your API request are correct. This ensures proper communication with the Data Fusion service.
Enable Required APIs: Ensure the Google Cloud Data Fusion API is enabled in your project via the Google Cloud Console.
Namespace Verification: Data Fusion uses namespaces, typically the default namespace. Confirm that the namespace specified in the URL is correct.
Below is an updated Python script designed to correctly upload and configure the PostgreSQL driver in your Data Fusion instance:
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 = {
"name": "PostgreSQL Driver",
"type": "jdbc",
"artifact": {
"scope": "SYSTEM",
"name": "postgresql",
"version": "1.0.0"
},
"properties": {
"path": f"gs://{bucket_name}/{driver_path}"
}
}
# Construct the API URL
url = f"https://datafusion.googleapis.com/v1/projects/{project_id}/locations/{region}/instances/{instance_name}/namespaces/default/artifacts:upload"
# Make the API request to upload the driver
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.status_code} {response.content}")
Additional Steps
Enable Data Fusion API: Enable the Data Fusion API for your project:
gcloud services enable datafusion.googleapis.com
Ensure Proper IAM Roles: Verify that the service account has the necessary IAM roles, such as roles/datafusion.admin and roles/storage.admin.
Validate API Endpoint: Confirm the correctness of the API endpoint and its accessibility. Testing the endpoint using tools like curl or Postman can help verify this.
import logging
import http.client as http_client
http_client.HTTPConnection.debuglevel = 1
logging.basicConfig(level=logging.DEBUG)
requests_log = logging.getLogger("requests.packages.urllib3")
requests_log.setLevel(logging.DEBUG)
requests_log.propagate = True