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Yaron Gvili commented on ARROW-15571: ------------------------------------- OK regarding power working on floating point values. This [SO|https://stackoverflow.com/questions/17417490/difference-between-sqrtx-and-powx-0-5] suggests sqrt(x) would be faster and a bit more accurate than pow(x, 0.5), so there is room for a sqrt operation. Regarding my goal, it is to apply the operations to a single column with best performance in Arrow. Here's an example for how I'm currently invoking the code in my PR: {code:java} ProjectNodeOptions( {call("minimum", {call("maximum", {call("square_root", {field_ref("column_0")}), literal(low_threshold)}), literal(high_threshold)})}, {"result_0"}){code} Note that the above is `using namespace arrow::compute` and that "column_0" is of type double. How should I achieve the same functionality with the existing operations? If the solution involves aggregate operations, do they provide best performance, as compared to (the missing) scalar operations? > [C++] Add min/max/sqrt scalar kernels to execution engine > --------------------------------------------------------- > > Key: ARROW-15571 > URL: https://issues.apache.org/jira/browse/ARROW-15571 > Project: Apache Arrow > Issue Type: Improvement > Components: C++ > Reporter: Yaron Gvili > Priority: Major > Labels: kernel, pull-request-available > Time Spent: 0.5h > Remaining Estimate: 0h > > The list of execution engine's scalar kernels currently available in > `cpp/src/arrow/compute/kernels/scalar_arithmetic.cc` does not cover the > common minimum, maximum, and square-root functions. -- This message was sent by Atlassian Jira (v8.20.1#820001)