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## Apache Arrow Rust Compute Kernels | ||
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This module contains analytical kernels that process primarily Arrow | ||
columnar data; some kernels can process scalar or Arrow-based array | ||
inputs. These are intended for use inside query engines, data frame libraries, | ||
etc. | ||
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Many kernels have SQL-like semantics in that they perform elementwise or | ||
scalar operations on whole arrays at a time. Other kernels are not SQL-like | ||
and compute results that may be a different length or whose results depend on | ||
the order of the values. | ||
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We use the term "kernel" to refer to particular general operation that contains many different functions corresponding to different combinations of types or function behavior options. | ||
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Types of functions | ||
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* Scalar functions: elementwise functions that perform scalar operations in a | ||
vectorized manner. These functions are generally valid for SQL-like | ||
context. These are called "scalar" in that the functions executed consider | ||
each value in an array independently, and the output array or arrays have the | ||
same length as the input arrays. The result for each array cell is generally | ||
independent of its position in the array. | ||
* Vector functions, which produce a result whose output is generally dependent | ||
on the entire contents of the input arrays. These functions **are generally | ||
not valid** for SQL-like processing because the output size may be different | ||
than the input size, and the result may change based on the order of the | ||
values in the array. This includes things like array subselection, sorting, | ||
hashing, and more. | ||
* Scalar aggregate functions of which can be used in a SQL-like context |