hi Jiunn-Yang Thanks for the KIP. It looks like this proposal enables testing on compacted topics. If so, would you mind updating the Motivation section to include this?
Best, Chia-Ping On 2026/05/26 11:46:16 黃竣陽 wrote: > Hello PoAn, > > Thanks for the feedback > > poan_00: In range mode, keys are generated by `recordIndex % keyRange`, > which is fully deterministic and not affected by `--random-seed`. The seed > only controls > the PRNG used for random payload generation in that case. The example is > misleading, > I will remove it. > > poan_01: According to the JDK documentation, `SplittableRandom` generates > uniformly > distributed pseudorandom values. With a sufficiently large number of records, > each key > in random mode appears roughly the same number of times, so the partition > distribution s > tatistically converges toward behavior similar to range mode. > > The main difference is that random mode introduces short-term burstiness, > where the same > key may appear consecutively for a period of time, while range mode produces > a perfectly > even round-robin pattern. However, neither mode inherently creates a truly > skewed (hot-partition) > distribution. > > I’ll update the motivation section to remove the hot-partition claim for > random mode. > > Best Regards, > Jiunn-Yang > > > PoAn Yang <[email protected]> 於 2026年5月26日 晚上7:18 寫道： > > > > Hi Jiunn, > > > > Thanks for the KIP. > > > > poan_00: In example usage, there is a case use --key-distribution range > > with --random-seed. > > In this case, does the --random-seed parameter take effect? If not, can we > > remove it? > > > > poan_01: In motivation, one use case of random distribution is > > hot-partition scenario. > > However, in JDK document, the SplittableRandom is a generator of uniform > > pseudorandom values [0]. > > If hot-partition scenario is just because small key range, can we do it > > with range key distribution directly? > > > > https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/SplittableRandom.html > > > > Best, > > PoAn > > > >> On May 20, 2026, at 8:56 PM, 黃竣陽 <[email protected]> wrote: > >> > >> Hi chia, > >> > >> Thanks for the feedback, > >> > >> chia_00: I have added a new optional argument --random-seed <SEED> > >> (default: 0) > >> to let users set the seed manually. The default value of 0 ensures > >> deterministic, reproducible > >> benchmark runs by default. > >> > >> chia_01: I have updated the Motivation section in the KIP to elaborate on > >> the practical > >> use cases for each key distribution mode. > >> > >> Best Regards, > >> Jiunn-Yang > >> > >>> Chia-Ping Tsai <[email protected]> 於 2026年5月20日 上午11:48 寫道： > >>> > >>> hi Jiunn > >>> > >>> thanks for this KIP! > >>> > >>> chia_00: Regarding the random seed, what are your thoughts on its > >>> initialization? > >>> > >>> chia_01: Could you elaborate on the practical use cases for each key > >>> distribution mode in the Motivation section? > >>> > >>> Best,Chia-Ping > >>> > >>> On 2026/03/30 13:06:05 黃竣陽 wrote: > >>>> Hello everyone, > >>>> > >>>> I would like to start a discussion on KIP-1299 Use key range in > >>>> ProducerPerformance > >>>> <https://cwiki.apache.org/confluence/x/XpQ8G> > >>>> > >>>> This proposal aims to add configurable key distribution support to > >>>> kafka-producer-perf-test. > >>>> Currently, the tool always produces records with null keys, which does > >>>> not reflect real-world > >>>> keyed workloads. This KIP introduces two new arguments — > >>>> --key-distribution and --message-key-range > >>>> — enabling engineers to benchmark with round-robin or random key > >>>> strategies over a bounded > >>>> key space, providing more realistic performance measurements. > >>>> > >>>> Best regards, > >>>> Jiunn-Yang > >> > > > >
