I'm currently working on a Flink job using version 1.16.0 of Apache Flink and I would like to know what are the best practices for handling exceptions in my application. I'm interested in learning about recommended approaches for handling exceptions in Flink, and how to ensure the robustness and reliability of my job.
In particular, I'm looking for information on best practices for handling exceptions in Apache flink. In addition, I would also like to know if there is a way to handle exceptions globally in Flink. I understand that operator-specific exception handlers are recommended, but I'm curious if there's a way to handle exceptions globally to provide a catch-all for unhandled exceptions. I'm using the Python version of the Flink API and my current version of the Flink cluster is 1.16.0. Any guidance or resources on these topics would be greatly appreciated. Thank you in advance for your help. -- SELISE Group Zürich: The Circle 37, 8058 Zürich-Airport, Switzerland Munich: Tal 44, 80331 München, Germany Dubai: Building 3, 3rd Floor, Dubai Design District, Dubai, United Arab Emirates Dhaka: Midas Center, Road 16, Dhanmondi, Dhaka 1209, Bangladesh Thimphu: Bhutan Innovation Tech Center, Babesa, P.O. Box 633, Thimphu, Bhutan Visit us: www.selisegroup.com <http://www.selisegroup.com> -- *Important Note: This e-mail and any attachment are confidential and may contain trade secrets and may well also be legally privileged or otherwise protected from disclosure. If you have received it in error, you are on notice of its status. Please notify us immediately by reply e-mail and then delete this e-mail and any attachment from your system. If you are not the intended recipient please understand that you must not copy this e-mail or any attachment or disclose the contents to any other person. Thank you for your cooperation.*
