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java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE #1548
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And this also can be reproduces just with any other big dataframe that could not fit into memory.
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Tried to reproduce a benchmark test made here:
https://dzone.com/articles/joining-a-billion-rows-20x-faster-than-apache-spar
Basically, it is 26x times slower (25.95 - 26.31 sec) than clean apache spark (0.97 - 0.98 sec) on my laptop:
I'm sure I have not tuned my environment well enough, but I though it is still important to post this issue, since it is not related to spark, but snappy spark distribution:
leads to the error:
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