Hi, thanks a lot for your fast answers. I will try the timezone conversion in code to UTC and update here as soon as i have results. in the meantime i want to provide more info about the slowness of insertion of data with impala jdbc : with the java kudu client, i used the default flush mode. with impala jdbc, i tried out various things: single insert statements, which were doomed to be slow by the given explanation and also what i expected. batch insert statements with different batch sizes. i assumed and hoped the overhead of query planning beforehand will be armortized by the batch size, but unfortunately i could not observe such a behaviour and i ended up with a very similar rows/s throughput, no matter if batch size was 1K, 5K, 10K and 50K rows. but i have to admit, my test was quite opinionated since i would really prefer to use the kudu client directly, hence i haven't tried that many things with impala jdbc since my main goal was to overcome the timezone issue. Also, the environment in which i'm running this tests is very light resourcewise, but since i let the different approaches compete in the same environment, i think it still gives me a good idea.
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