Kirill Suvorov

> @Retribution98 I see your graphs above, but I don’t really understand what the axes mean. Please label them. @anmyachev Thanks, updated it.

> @Retribution98 do you have any performance numbers? @anmyachev This case is similar to the previous PR, so we can expect the same performance. Using 112 CPU: df.count | partitions...

> It's also a good idea to add tests for the new operators, which now work a little differently. Since the logic is at a lower level, I modified the...

@phofl, @fjetter, could you take a look at this PR? Is it ok if the test is down? I don't quite understand why this happened?

Hi @yx367563, Thanks for the details, I was able to reproduce your problem, but unfortunately I don't have a solution for you. First of all, "achieving performance as good as...

Hi @Liquidmasl Thanks for your attention to Modin. As I see from your reproducer in issue #7359 , you are trying to work with a large DataFrame that is bigger...

Hi @Liquidmasl Modin has these default values because it helps to achieve good performance in general. If you have a specific case and Modin's [configuration variables](https://modin.readthedocs.io/en/stable/flow/modin/config.html) don't help you, you...

Hi @Liquidmasl The number of files in the output depends on the number of partitions in the DataFrame. If you want to customize the number of files, you need to...

Hi @wanghaisheng Sorry, I'm not sure I understood you correctly. Modin is not responsible for the Ray parameter `RAY_memory_usage_threshold`. Your reproducer seems to be correct. Please contact Ray for more...