I have a Google Cloud SQL database that I can connect to with my SQL client. However, I have not been able to connect Google Data Studio to the Google Cloud SQL database with the Cloud SQL data source. I have the IP address and credentials from Google Cloud SQL.
My guess is that Google Data Studio cannot connect to Google Cloud SQL because I need to add an IP address to allow the traffic into Google Cloud SQL but Google Data Studio does not have or does not publicize an IP range.
Has anyone had success connecting to Google Cloud SQL using the Cloud SQL data source in Google Data Studio?
The following ranges need to be whitelisted for Data Studio to work:
https://developers.google.com/apps-script/guides/jdbc
Since August 2017, Google Data Studio connects natively to Google Cloud SQL databases:
The current version of the connector no longer requires whitelisting,
and it provides encryption; however, to use these features, you must
create a new data source using the Google Cloud SQL connector.
See Google Cloud SQL connector in help for detailed description on how to create a connector.
Related
I have been trying to connect the my Data Fusion instance with my Cloud SQL PostgreSQL server. I have ensured that both of them are in the same VPC and I am using the Socket-factory library 1.2. What should I do? I am new in Data Fusion.
Edit:
I forgot to mention the error. I am trying to connect through wrangler using the Database option and using the connection string:
jdbc:postgresql://google/DATABASE_NAME?cloudSqlInstance=INSTANCE_CONNECTION_NAME&socketFactory=com.google.cloud.sql.postgres.SocketFactory&useSSL=false
The error I receive is 403 Forbidden. I have given Cloud SQL client permissions to both the service account and Dataproc account. I am using the latest Data Fusion version 6.6.0.
I'm making a Flutter app with a login page, and I've been trying to query data from a Google Cloud MySQL server and serve it to my app. I was able to replicate the result I want in python using bigquery but I need something like that but in a dart/flutter version(any other ways work too as long as the result is the same)
Any help would be really appreciated!
It is not recommended to connect to the Cloud SQL databases directly over the internet from the client application. So one should avoid connecting to the Cloud SQL database directly from the Flutter Application. In this case, it would be a good idea to create an API endpoint to do the operations in Cloud SQL and hit that endpoint from the Flutter Application.
To achieve the above, we can follow these steps:
Deploy a Http Cloud Functions which connects to the Cloud SQL
database
In this step we have to deploy a Http Cloud Functions and from the Cloud Functions we can connect to the Cloud SQL database. Inside the Cloud Functions we can do the operations on the Cloud SQL database. This document explains how to connect to Cloud SQL from Cloud Functions.
Call the Http Cloud Functions URL from the Flutter Application
After deploying the Cloud Functions, we will get a unique URL for it, which looks like this https://GCP_REGION-PROJECT_ID.cloudfunctions.net/FUNCTION_NAME. We have to call this URL from the Flutter Application. This blog explains how to call the Cloud Functions URL from the Flutter Application.
I would like to build a Google Cloud PostgreSQL database using the instructions here
I was able to successfully create the Postgres databases with appropriate tables and views locally.
What do I need to do in order to get the data on Google Cloud PostgreSQL? My goal is to have remote access to this data.
You have 2 options, The first one is use the Cloud SQL proxy as is described here. As the shared links say, the Cloud SQL Proxy provides secure access to your instances without the need for Authorized networks or for configuring SSL.
On the other hand, the second option is only to configure access to your instance under Authorized networks using or not SSL. The complete steps are listed here
You could connect to Cloud SQL from a local test environment using cloud sql proxy. See quickstart-proxy-test.
The workflow is:
Your Application(Running Locally) => cloud sql proxy (Running locally) => GCP remote Cloud SQL service
Google Apps Script JDBC doesn't support a connection to PostgreSQL directly but Google Data Studio supports a connection to PostgreSQL to pull data and build reports. I've also heard they support a low-key export to .csv option. Is it then possible to exploit the Data Studio Service in Google Apps Script to populate Google Sheets with that data, effectively creating a workaround?
All I need is a one-way access from PostgreSQL into Google Sheets by means of Google Apps Script, I do NOT expect to import anything back into my database.
Looking at the reference documentation, the built-in Apps Script service for DataStudio does not allow you to pull data from a connected data source. It can be used to create connectors but its does not allow direct access to connected data sources.
However, you can try creating a custom API or server-less mirco-service in a language that supports PostgreSQL, and then expose that service as HTTP endpoints that you can call via URLFetchApp. You can leverage Google Cloud Functions to do this and write the mirco-service in either back-end Javascript(Node.js), Python or Go. This approach will take you well-outside the bounds of your typical GAS script, but it is a viable option.
I have created bucket in ibm cloud object storage and successfully able to upload file posting there. Now, I want to refine those files using ibm data connect. I am trying to create a connection in data connect and selected bluemix object storage.
Dont understand what details are asked under details. Am I selecting wrong connection type or what exactly details should i look for, in my cloud object storage.
Data Connect was deprecated in December 2017 and reached end-of-life 3/30/2018. Data Refinery is the successor, and does connect to IBM Cloud Object Storage natively. Information about migrating from Data Connect can be found here.