Here's the link to the spreadsheet with the list of Spark2 jobs still running in the Hadoop cluster.
https://docs.google.com/spreadsheets/d/1j1HzjebGU61mDRRMS8Lyx7DpYiqQrxaM09HL5QRPRfc

Thanks @mforns for creating the list. Would it be helpful to have the risk v complexity column similar to the Oozie migration spreadsheet both for our and other team's jobs?

@Miriam Could you please help Marcel review the inventory of all the remaining jobs still using spark 2 in your team? Thanks a lot!
https://docs.google.com/spreadsheets/d/1j1HzjebGU61mDRRMS8Lyx7DpYiqQrxaM09HL5QRPRfc

@mpopov Could you please help Marcel review the inventory of all the remaining jobs still using spark 2 in your team? Thanks a lot!
https://docs.google.com/spreadsheets/d/1j1HzjebGU61mDRRMS8Lyx7DpYiqQrxaM09HL5QRPRfc

@mforns: ✔ from Product Analytics

Thank you @mpopov!!

And thank you @Miriam as well! I saw your team added a couple jobs. Would that be all? If so I will close the list :-)

Thank you @mforns for the ping! We are almost there, could you give us another 24 hours?

Of course @Miriam! just wanted to know whether those were all. Let me know if I can help! Cheers

Spark 2 deprecation was announced via Slack and analytics-alerts:

Hi All, the Data Engineering is upgrading to Spark 3 and will no longer be supporting Spark 2 on our Hadoop cluster after March 31st, 2023. If your team owns Spark 2 jobs in production, please plan for the time needed to upgrade to Spark 3.

You can find more information about the upgrade on: https://wikitech.wikimedia.org/wiki/Analytics/Systems/Cluster/Spark/Migration_to_Spark_3. Please add any missing jobs to the migration list on that page. If you need help from the data engineering team you can reach out to
@Jackeline Argüello or join us for the data engineering office hours.

@Gehel putting this on your radar