Thanks for your detail explanation.
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Hi, everyone. Now, Flink can't do with auto-scaling and we can realize this
by restart the savepoint with different parallelism. I wonder how flink
handle with state managerment. For example, for parallelism=3 to 4, how the
state of 3 deal with new parallelism? Can you explain the internal to me ?
Thanks Max and Timo for the explanation. :)
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;a, 'b, 'c)
val filterDs = ds.filter( 'a % 2 === 0 ).filter( 'a % 3 === 0 )
Would the filter condition be optimized to filter('a % 6 === 0) by the
calcite or by flink internal optimization rule?
Thanks,
gallenvara
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