Airflow DAG: Coding your first DAG for Beginners

Airflow DAG, coding your first DAG for Beginners.
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Starting with Apache Airflow can be difficult.
What is a DAG? What is an Operator? How DAGs are scheduled? so many questions. Well, you've come to the right place!
In this video, you will discover how to code your first DAG, the core concepts to understand and how to schedule your DAG.
Ready? Go!
The Code
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How to run Airflow locally with Docker
• Running Airflow 2.0 wi...
All you need about XComs:
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[@MarcLamberti]

Thank you all for your warm feedback ❤ Here is another video to create a more advanced pipeline with AWS and Snowflake: kzbin.info/www/bejne/rYWZaJtvpqmfZ9E Enjoy ❤

[@TheMarlonfelix]

I can't express how grateful I am to you for sharing this content here with us on youtube. Thank you and keep doing this excellent job.

[@MarcLamberti]

Glad you enjoy it! :)

[@BD_warriors]

You are the best teacher I have ever seen before.

[@MarcLamberti]

Thank you 🙏

[@madhavkotha9797]

Superb Narration about Airflow, with one video and simple example you cleared all my basic doubts. Thanks a lot.

[@MarcLamberti]

Glad it was helpful!

[@alauddinm]

amazing explanation of the first DAG creation in airflow! Thanks a lot

[@umanageswari9159]

Clear explanation for the beginners. Thank you!

[@sewingwithcope]

Wow this was such a great tutorial! Very easy to understand and can’t wait to try it myself!

[@elitziri]

You are a killer instructor! Following your tutorials feels like drinking French vanilla. Thumbs up!

[@shivanshusharma8154]

best tutorial on airflow DAG ✌

[@wumbo2421]

this is very clear and insightful for me as a beginner, thank you! Can't wait to try it on my own

[@MarcLamberti]

Thank you 🙏

[@RobertAlexanderRM]

Marc you are incredibly good at explaining. Perfect balance between details and conciseness! Finished this exercise succesfully at the first try! One thing I still do not understand is how can I have a task launch some external python programs that are managed in their own virtual environments by Poetry? Thanks

[@Tech_world-bq3mw]

Simple, To-point and well explained. 🔥🔥

[@MarcLamberti]

Thank you 🙏

[@rajivjani8594]

Thank you for sharing! I learned something new today! I appreciate your time!

[@MarcLamberti]

Happy to help

[@Abdiaspeguero]

love it, great video to start getting hands on airflow! please keep making more videos like these using different and more complex scenarios.

[@MADAHAKO]

AMAZING EXPLANATION! !!!

[@JasonThorneMagicLAMP]

Simple, Practical, Useful

[@efrainpalaciosmosquera3283]

The best explanation, kudos to you

[@diegomedina2359]

thanks a lot! it really help me get going with dags

[@MarcLamberti]

Happy to help

[@Leonardo-jv1ls]

Amazing explanation. Fast and clear. Thank you a lot.

[@vasudevgupta9277]

Wow thanks man, that was a really good video. I learned a lot more than airflow.

[@MarcLamberti]

Happy to help 🫶

[@bhushankorg5606]

Thanks that was amazing explanation

[@MarcLamberti]

You’re welcome ❤️

[@shankashyap2120]

Excellent your way of teaching is - Thank you

[@sahilgandhi9156]

Thank you for the wonderful explanation

[@tanyuhkleck8368]

Thank you! I started to understand...

[@andrestricker4118]

That explanation is really good. Kudos!

[@TheFazilaashraf]

Thanks Marc. Very well explained.

[@marouaneghoulami4108]

Merci beaucoup Marc, bon courage. Thank you sir, i really enjoyed learning while watching your video. Its the first time I discover your channel, definitely I'll be sharing it with my colleagues

[@theartofswe7993]

This was incredible.. Thank you Mark

[@aarongonzalez8362]

Great explanation! I still wonder how the PythonOperator would be able to make an instance of a python class and call a specific method of that class. Most of the videos I have found only seem to showcase the use of functions for the python_callable param. 🤔

[@dataencode57]

u are amazing man. so clear !

[@SaimonAlam]

That was both informative and enjoyable. Thank you Marc!

[@subhendurana6457]

awesome explanation!

[@jordanmoore7340]

Very comprehensible. Thank you!

[@orpat007]

Wonderful explanation. Thank you very much for the video!

[@Hyper.Trades]

Really helpful! Thanks from Québec!

[@luislla3142]

Amazing work

[@akrabu8]

I'm new with airflow..... currently I have a server with jupyterhub+jupyterlab...I've installed airflow at the same server and I wanted to create this DAG from jupyterlab... but I don't have visibility of airflow modules within jupyter environmente despite of they are installed at the same server... How can i proceed?... and leads me to this question, where should I build one dag? what's your suggestion?

[@marcelomaia4274]

Awesome, man. Many thanks!

[@1UniverseGames]

How can I integrate those Deep learning model into spark or airflow, can you make a video about this like how we can integrate our ML or DL model into Airflow or spark for job scheduling

[@alexeykruglov8185]

Thank you vry much) I an working with my homework with your video

[@dtsleite]

Very useful tips! Thanks a lot!

[@aliizzetmetin6382]

really good content, thanks Marc!

[@anjanashetty482]

Awesome explaination!!

[@ShervinRad-b5y]

What's the difference between from airflow.models.dag import dag and from airflow import DAG?

[@ylchen5975]

Very useful ! Thank you for the sharing!

[@mayanksrivastava4121]

very well explained.. thanks

[@katacode]

Thank you. All simply and helpful

[@naveennoel9496]

Very clear. Thank you

[@prod.kashkari3075]

Great video! So helpful! Do a video on ETL airflow but loading into postgres or with sql operators

[@MarcLamberti]

The PostgresOperator is the way 😁

[@nastiahavriushenko9940]

brilliant and simple!

[@AcademyThakaa]

This is very informative

[@N28-h9m]

Thanks brother!

[@Arnob_111]

How did you submit your script to Airflow? Only then you'll be able to view it in Web UI right?

[@كيفتصنعللاطفال]

It will be great if you include in the tutorial how to open a file, save it and run it using airflow.

[@bhavikdudhrejiya852]

Awesome channel!!!

[@vitostamatti4792]

I think someone already asked. Do you also need to install apache-airflow locally with pip in order to get code completion? Thanks for the great content!

[@MarcLamberti]

Yes

[@christophermartinez5765]

This is great, thank you!

[@MarcLamberti]

happy to help! :)

[@usharoyal24]

I didn't find the link in description

[@muditkumar2737]

Awesome explanation

[@MarcLamberti]

Glad you liked it

[@pandeyabhishek8811]

Hello sir ,I have created dags successfully but it is not visible at airflow web interface what should we have to do ?

[@sharmaakarsh]

How to implement the condition where accurate should run only when training model A,B,C all 3 are successful executed?

[@bpalacio]

Great video! TY!

[@NeetuSingh-zd6ll]

Thank you so much for this vdo.. Really helpful

[@RajeshSamson]

How you are able to get suggestions in your VSC without installing the Airflow dependencies?

[@juneseif]

Great Tutorial

[@phuinh9716]

i have a question! How i can see result of pipeline. For example i have a function print('hello world') and i want to see it in screen

[@AdrienAranda]

how do you run locally the airflow UI? when I use airflow standalone command it tells me: 'airflow airflow Invalid login. Please try again.'

[@ashwinkumar5223]

How to call all snowflake stored procedures with one Task in another Python file , when corresponding Operators in declared in Main DAG File

[@shwetarawat4027]

Really helpful session :)

[@MarcLamberti]

🫶

[@danielpetrolio1804]

How can we put best_accuracy on output?

[@pandeyabhishek8811]

I have written code into Jupyter notebook it successfully executed over here ...

[@apewidc_nellore4547]

mannnnnnnnn you saved me today!!

[@MarcLamberti]

Well, that’s great news 🫶

[@bayuwiratmo2820]

Hi @marclamberti I want ask as a Data Engineer, I want to regularly clean up airflow log file that more than 2 months old. Is it possible?

[@KundanKumar-gk3kp]

Marc, I stuck with an issue. I am trying to create multiple dagRun with same execution time, but getting exception. To overcome this, i tried to create it with microsecond precision, but still dagRuns are using "seconds" and truncating the microseconds. I also tried "replace_microseconds"=false, but no success. Please help or if you know any doc, please share.

[@harshavardhanravipudi5225]

thank you

[@follygee4667]

how do i import a json config file that stores variables in another python script with airflow

[@chyldstudios]

Brilliant!

[@ShantoShanto]

very good tutorial

[@jayanthdolai6422]

Hi - I have passed this JSON {"Name" : "Jhonny"} in configuration JSON box before triggering manually. I want to print last two letters of the value which passed to the Name i.e. in this example "ny"..How do I print this in Airflow DAG..I am unable to print it

[@sanjusci]

I am running airflow on port 8002. How to get my_dag in the panel?

[@aeldoa]

Use list comprehension - e.g.: training_models = [ PythonOperator(task_id=f"training_model_{step}", python_callable=_training_model) for step in ['A','B','C'] ]

[@jsdegard3010]

amazing one-liner. Only improvement I can think of is to specify the model list globally so it can be specified in the task creation as well as the xcom call

[@davidsanchezplaza]

Really great content!

[@bcak611]

Nice instructor

[@payalpartude-t6u]

Hi Marc, please suggest me your Udemy coarse, as I am working in GCP composer

[@MrRustytrain]

Thanks!

[@imtiazahamed1632]

Hello, I am new at apache airflow. Your videos of airflow are awesome and helped me to understand it. I have a request to you, I don't know is it possible to use airflow for php application Cron task. If yes, then it would be a great help for us if you make a video on it step by step like other videos.

[@kirby900]

Marc, I reproduced the example you demonstrated, but I notice strange behavior: when the function fetches results from the training runs, the results are the same each time I run the DAG, so the same branch is always taken. It seems like the training function result gets cached and re-used. Any idea why?

[@kirby900]

Update: I added a call to random.seed() in the _training_model function, and it resolved the problem.

[@MMphego]

Great teaching skill. Thank you for the tut

[@iman6123]

Hey! Thanks for great videos. I am facing trouble while running a java jar file from airflow. Getting java command not found error message. P.s- tried with adding path in $PATH. Can not use docker.

[@PunitaOjha01]

I can see the dag in the airflow UI but it never runs for me.

[@alinerguio]

great content

[@alvinomota2845]

Hello, thanks for the content, but some probleme, when i run the dag , hava a error ERROR - name 'best_accuracy' is not defined

[@sanjusci]

I am running cmd airflow scheduler

[@demohub]

Wonderful 👏 👏 👏

[@yelenaaronzon9208]

Sorry, I did not find any video in description that explain how to install Airflow to my PC. Can you help me, please ?

[@starlord9109]

Maybe just find pip install apache-airflow

[@clikcspeed]

Thank you for the great content

[@dataaholic]

In Function, _choose_best_model return "accurate" . How does the python/airflow know that "accurate" is not a string but a task_id for BashOperator ?

[@BigJoenads]

It won't be python that "knows", it will be what airflow is doing behind the scenes. Since he's specified it as a python_callable, I imagine airflow will call the function and respond to it's return appropriately.

[@yonaabz8672]

Very useful ! But I 've got a problem: Airflow imports are not recognized in the my_dag file. I've done your video to install airflow so I am using WSL2 with VScode. I read that airflow is not recognized because Iam not connected to docker containers. If anyone have the same issue, please tell me how to solve it ...

[@nirshadnijam2291]

I am having the same issues.

[@raulnobrega5567]

Great video!

[@MarcLamberti]

Thank you Raul 😁

[@mrstudent1957]

Will training model A,B,C be executed in parallel ?

[@MarcLamberti]

Yes