I'm currently working on a project with some colleagues and a colleague of mine linked a database created in her postgreSQL server to our visual studio project, but we don't know how she can share the database with the rest of us, or how can we modify the database without having it.
We're using postgreSQL 14.
One option is to create your database in a cloud provider such as AWS.
You can take a look at: https://aws.amazon.com/rds/postgresql/
This way all of you will be able to access the database.
Related
For simplicity and cost, we are starting our project using local MySQL running on our GCE instances. We will want to switch to CloudSQL some months down the road.
Any advice on avoiding MySQL version conflicts/challenges would be much appreciated!
The majority of the documentation is for MySQL 5.7 so as an advice I recommend you use this version and review migrating to cloudsql concept this is a guide that will guide you through how to migrate safely which migration methods exist and how to prepare you MySQL database.
Another advice which I can give you is make the tutorial migrating mysql to cloud using automated workflow tutorial this guide also says that the any MySQL database running version 5.6 or 5.7 allows you to take advantage of the Cloud SQL automated migration workflow this tutorial is important to know how works and how deploy a source MySQL database on Compute Engine. The sql page will give you more tutorials if you want to learn more.
Finally I suggest to you check de sql pricing to be aware about the billing and also I suggest to you create a workspace with this you can have more transparency and more control over your billing charges by identifying and tuning up the services that are producing more log entries.
I hope all the information that I'm giving you are helpful.
Trying to copy data from PostgreSQL DB on an Ubuntu box that needs IPs whitelisted to access it. With Azure Data Factory IPs changing all the time and since i cannot install Self-hosted integration runtime as its a Linux server, what other options are available to be able to copy data from this PostgreSQL DB into an Azure SQL DB without having to worry about the IP addresses. Any suggestions or known solutions for this please?
Based on the document,ADF Self-hosted integration runtime can't be installed on the linux server,only could be used on the windows server.
BTW,this feature will also not be supported recently,please follow this feedback link.
the latest comment:Currently we don't have any plan on this yet. Could
you share us your reasons why do you want Linux?
As workaround,i suggest you get an idea of Azure DMS(Database Migration Service). Please see more detail about it from this link and this video.
I am working on an application that has source code stored in GitHub, build and test is done by CodeShip, and hosting is done in Amazon Elastic Beanstalk.
I'm at a point where seed data is needed on the development database (PostgreSQL in Amazon RDS) and it is changing regularly in development.
I'd like to execute several SQL statements that are stored in GitHub when a deployment takes place. I haven't found a way to do this with the tools we're using, so I'm wondering if there are some alternatives.
If these are the same SQL statements, then you can simply create an .ebextension (see documentation) that will execute them after each deploy.
If the SQLs are dynamic per deploy, then I'd recommend a database migrations management tool. I'm familiar with rails that has that by default abut there's also a standalone migrations tool for non-rails projects. Google can suggest many other options.
I'm looking for the easiest way to import data from SQL Server to SQL Azure.
I'd like to work locally, would there be a way to synchronize my local database to SQL Azure all the time?
The thing is I wouldn't like to update each time I add a table in my local database to SQL Azure.
I HIGHLY recommend using the SQL Database Migration Wizard: http://sqlazuremw.codeplex.com/ it is the best free tool I've used so far. Simple and works much easier the the SSMS and VS built in tools. I think the Red-Gate tools now work well with SQL Azure too - but I haven't had a chance to use them.
Have you looked at SQL Data Sync? A new October update just came out today.
http://msdn.microsoft.com/en-us/library/hh456371
Microsoft SQL Server Data Tools (SSDT) was developed by Microsoft to make it easy to deploy your DB to Azure.
Here's a detailed explanation: http://msdn.microsoft.com/en-us/library/windowsazure/jj156163.aspx or http://blogs.msdn.com/b/ssdt/archive/2012/04/19/migrating-a-database-to-sql-azure-using-ssdt.aspx
and here's how to automate the process of publishing: http://www.anujchaudhary.com/2012/08/sqlpackageexe-automating-ssdt-deployment.html
To look: SQL Server Data Tools Team Blog
There are a few ways to migrate databases, I would recommend you to do it by using the generate scripts Wizard.
Here are the steps to follow
http://msdn.microsoft.com/en-us/library/windowsazure/ee621790.aspx
Also there are others tools like Microsoft Sync Framework.
Here you'll find more information about it
http://msdn.microsoft.com/en-us/library/windowsazure/ee730904.aspx
I have a local version of Strapi set up, and the codebase is pushing fine to Netlify for the frontend and Heroku for the backend.
However, I can't work out how to get the content held in the .tmp/data.db file into the mLab instance of the database on Heroku.
The structure is all in sync with my local version.
I've tried to export tables from SQL Lite to JSON files and then import them as collections using the CLI - which says it's imported the documents into Heroku (and I can see them in the mLab interface), but this was a last ditched attempt as I couldn't see a way of transferring the entire file.
However, this isn't working as the content types are still empty.
Make sure you well configured your ./config/environments/production/database.json with your mLab configs.
In development, you look using SQLite. This database is good for local development but can't be used in Heroku (see the storage system used by Heroku you will understand why.)
Be careful, you are using an SQL database in dev and a NoSQL database in production.
This looks special - depending on your data structure, you can have issues about the data migration. I don't suggest you to do that. Use the same type of database in dev and prod.