I need to expose snowflake table data as an API.
But snowflake doesn't provide REST API to achieve this.
How do I achieve this?
You will need to implement something yourself. A common approach an application that RESTfully listens for queries over HTTP, uses the Snowflake JDBC driver to retrieve the data, then encodes it into JSON and responds. Here is a generic example: https://github.com/hellofiremind/jdbc-sql-rest
As mentioned in the previous answer, you will have to connect snowflake using ODBC and implement APIs using a web framework.
There is also a new project Dozer that can instantly publish Snowflake as APIs.
https://github.com/getdozer/dozer
Disclaimer: I am one of the main contributors of Dozer.
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There is a AI based Web Application which needs to be connected to Azure SQL DB.
So I have to create a Rest API as an interface to connect the web app GUI to the Azure SQL DB.
Please suggest how can I achieve this. I searched other posts which suggest that we can expose the Azure SQL DB via ODATA service but not sure where to start from.
I followed the post
How to expose Azure Sql Server database using OData
Need some help from where to start.
I found this guide for you.
Even if it's not for Python you get the point, this is how to work with Azure SQL Database and create a GUI interface.
I'm looking for something like REST API which I've used for web applications using Django. How do I achieve similar functionality for a desktop application using REST or some other API where I don't have to type out SQL in plain text in the source files?
The use case is for user authentication and fetching certain messages from the SQL database.
I'm trying to write a code in python to get all the data from an api through an http request.
I am wondering if there is a way to use the _scroll_id and it's contents in python. If so, how do I implement it or could you share some documentation regarding it?
All the documentation regarding elasticsearch in python is using a localhost...
Any leads would be highly appreciated.
Elasticsearch has a Python library that helps with pinging the database.
You can use the scan() helper function. Internally, it calls the scroll API so you don't have to worry about any of that.
For the last part of your question, you'd have to follow the tutorial to see how to connect to different databases.
https://elasticsearch-py.readthedocs.io/en/v8.3.3/helpers.html#scan
I have a Webapp that writes the status of Azure VMs in a DB. I want to be able to have the DB update automatically every time a VM is started/stopped/restarted. How do I set up a trigger that POST to my Webapp when the VM is started/stopped/restarted? I'm using the Azure Python SDK. Thank you.
You don't need to write code to achieve this you could use EventGrids in Azure linked to a logic app which would write straight into your database. Here is an example of how to set up an EventGrid to send emails when linked to a logic app. This is an example in how to connect a Logic App to a database. The combination of these two examples will allow you to use Azure native technologies to achieve your goal.
Alternatively instead of writing straight to the database you could use the logic app to POST to your website using one of the connectors.
Hope that helps.
I am working on a webapp that interacts with data via XML-RPC rather than with a direct connection to a database. I can execute SQL queries via an XML-RPC methods.
I would like to interact with the data in an ORM framework fashion that has lazy/eager fetching, etc., although I can't seem to figure out how that would be possible with Python or even Django's libraries.
Check out XML Models. It's REST rather than XML-RPC, but much of it is probably reusable.
You would have to write your own database backend. Take a look at existing backends for how to do this.