I have a Python script that pulls some data from an Azure Data Lake cluster, performs some simple compute, then stores it into a SQL Server DB on Azure. The whole shebang runs in about 20 seconds. It needs sqlalchemy, pandas, and some Azure data libraries. I need to run this script daily. We also have a Service Fabric cluster available to use.
What are my best options? I thought of containerizing it with Docker and making it into an http triggered API, but then how do I trigger it 1x per day? I'm not good with Azure or microservices design so this is where I need the help.
You can use Web Jobs in App Service. It has two types of Azure Web Jobs for you to choose: Continuous and Trigger. As I see you need the type Trigger
You could refer to the document here for more details.In addition, here shows how to run tasks in WebJobs.
Also, you can use Azure function timer-based on python which was made generally available in recent months.
Related
I have a python script which run 24 hours on my local system and my script uses different third party libraries that are installed using pip in python
Libraries
BeautifulSoup
requests
m3u8
My python script is recording some live stream videos from a website and is storing on system. How google cloud will help me to run this script 24/hours daily and 7days a week.I am very new to clouds. Please help me i want to host my script on google cloud so i want to make sure that my script will work there same as it is working on local system so my money will not lost .
Yes it can. I would recommend familiarizing yourself with this Quickstart: Deploy a Python Service to Cloud Run and What is Cloud Run. When you use Cloud Run, you can provide your own Docker image that uses Python, or select from preexisting images.
Once you have a Cloud Run instance running, you can tie it into other Cloud Run instances or Cloud Functions which are scalable functions that use Cloud Run under-the-hood and allow you to easily scale your app. Additionally, these instances spin down to 0 if nobody is using the app which saves costs greatly. This can be modified of course so that the app is always spun-up.
In general I highly recommend looking at Cloud Run but also other services can handle the task such as a Compute Engine.
If you want to run 24/7 application on the cloud, whatever the cloud, you must not use solution with timeout (like Cloud Run or Cloud Functions).
You can imagine using App Engine flex, but it won't be my best advice.
The most efficient for me (low maintenance, cost efficient), is to use GKE autopilot. A Kubernetes cluster managed for you, you pay only the CPU/Memory that your workloads use.
You have to containerize your app to do that.
I have connection between Google Sheets and python script that I read cells from a column then read these cells's data and then run the code to do its job.
So basically, what I want to do is setting up a webhook or anything that Make the code runs always and catching a new data in the google sheet.
I made some searches I got 3 Apps can do this but I don't know which one is suitable
1- Cloud Run
2- Cloud Build API
3-Cloud Deploy
and how to setup the the webhook, pretty appreciate
Cloud Scheduler is a fully managed cron job scheduler. It allows you to schedule virtually any job. You can automate everything, including retries in case of failure to reduce manual toil and intervention. Cloud Scheduler even acts as a single pane of glass, allowing you to manage all your automation tasks from one place.
I have a script that downloads larger amounts of data from an API. The script takes around two hours to run. I would like to run the script on GCP and schedule it to run once a week on Sundays, so that we have the newest data in our SQL database (also on GCP) by the next day.
I am aware of cronjobs, but would not like to run an entire server just for this single script. I have taken a look at cloud functions and cloud scheduler, but because the script takes so long to execute I cannot run it on cloud functions as the maximum execution time is 9 minutes (from here). Is there any other way how I could schedule the python script to run?
Thank you in advance!
For running a script more than 1h, you need to use a Compute Engine. (Cloud Run can live only 1h).
However, you can use Cloud Scheduler. Here how to do
Create a cloud scheduler with the frequency that you want
On this scheduler, use the Compute Engine Start API
In the advanced part, select a service account (create one or reuse one) which have the right to start a VM instance
Select OAuth token as authentication mode (not OIDC)
Create a compute engine (that you will start with the Cloud Scheduler)
Add a startup script that trigger your long job
At the end on the script, add a line to shutdown the VM (with Gcloud for example)
Note: the startup script is run as ROOT user. Take care of the default home directory and the permission of the created files.
I currently have a free Azure Notebook account on https://notebooks.azure.com/ and would like to execute a Python script (or Jupyter Notebook) hosted on Azure automatically once every 10 minutes.
Is there a way to do this within the free Azure notebook account?
I am aware of several approaches which are described on the web, such as using Azure WebJobs, Azure Functions, Azure IoT and so on. However, all these approaches require me to upgrade to the the "Free" account which actually is only free for the first 12 months, so I would like to avoid that if possible.
As I known, there is not any feature about job like WebJobs for Azure WebApp or Jobs for Azure Databricks in Microsoft Azure Notebooks. So I tried to trigger a Python script via crontab on Ubuntu of Azure Notebooks, but failed because the cron service default not started and Azure does not offer the nbuser password for using sudo to start cron service.
However, I also tried to write a Python script hello.py as below.
from datetime import datetime
import time
while(True):
print(f"{datetime.now()} => Hello, world! ")
time.sleep(10) // 10 seconds
And I ran it in Terminal of Azure Notebooks, as the figures below, then I closed the terminal page and ran !tail -f ~/hello.log, it seems not to be terminated by the closed event of terminal page.
You can try to this way. If it's not what you want, I think it's impossible on Azure Notebooks.
There are a number of 'always free' services that come with the free Azure account which includes Azure Functions.
As long as you stay within the free functions limit, which is currently 1,000,000 requests per month, you wouldn't have to pay anything.
https://azure.microsoft.com/en-us/free/free-account-faq/
I have build as application with REST API.
I have to send request from a cluster (of about 10 nodes) to get some information from this API.
Now if I run it on single system, it is expected that it may become a bottleneck and mapreduce job will take a lot of time to complete.
Is there any way or solution that I can run this service on multiple systems for load balancing?. I am using Linux OS. My service is built in Python and I am using Flash to get it via REST.