Hi Zhanghao Chen, thanks for sharing the link. This looks quite interesting!
Regards, Niklas > On 15. Apr 2024, at 12:43, Zhanghao Chen <zhanghao.c...@outlook.com> wrote: > > When it comes down to the actual runtime, what really matters is the plan > optimization and the operator impl & shuffling. You might be interested in > this > blog:https://flink.apache.org/2022/05/06/exploring-the-thread-mode-in-pyflink/, > which did a benchmark on the latter with the common the JSON processing > scenario with UDFs in Java/Python under thread mode/Python under process mode. > > > Best, > Zhanghao Chen > > From: Niklas Wilcke > Sent: Monday, April 15, 2024 15:17 > To: user > Subject: Pyflink Performance and Benchmark > > Hi Flink Community, > > I wanted to reach out to you to get some input about Pyflink performance. Are > there any resources available about Pyflink benchmarks and maybe a comparison > with the Java API? I wasn't able to find something valuable, but maybe I > missed something? > I am aware that benchmarking in this case is really dependent and that a > general statement is difficult. I'm rather looking for numbers to get a first > impression or maybe a framework to do some benchmarking on my own. Any help > is highly appreciated. Thank you! > > Kind regards, > Niklas
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