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file	search.hpp
	Column APIs for lower_bound, upper_bound, and contains.

Functions
std::unique_ptr< column >	cudf::lower_bound (table_view const &haystack, table_view const &needles, std::vector< order > const &column_order, std::vector< null_order > const &null_precedence, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Find smallest indices in a sorted table where values should be inserted to maintain order. More...
std::unique_ptr< column >	cudf::upper_bound (table_view const &haystack, table_view const &needles, std::vector< order > const &column_order, std::vector< null_order > const &null_precedence, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Find largest indices in a sorted table where values should be inserted to maintain order. More...
bool	cudf::contains (column_view const &haystack, scalar const &needle, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Check if the given needle value exists in the haystack column. More...
std::unique_ptr< column >	cudf::contains (column_view const &haystack, column_view const &needles, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Check if the given needles values exists in the haystack column. More...

Detailed Description

Function Documentation

contains() [1/2]

std::unique_ptr<column> cudf::contains	(	column_view const &	haystack,
		column_view const &	needles,
		rmm::cuda_stream_view	stream = cudf::get_default_stream(),
		rmm::device_async_resource_ref	mr = cudf::get_current_device_resource_ref()
	)

Check if the given needles values exists in the haystack column.

The new column will have type BOOL and have the same size and null mask as the input needles column. That is, any null row in the needles column will result in a nul row in the output column.

Exceptions

cudf::logic_error

If haystack.type() != needles.type()

haystack = { 10, 20, 30, 40, 50 }
needles  = { 20, 40, 60, 80 }
result   = { true, true, false, false }

Parameters

haystack	The column containing search space
needles	A column of values to check for existence in the search space
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns

A BOOL column indicating if each element in needles exists in the search space

contains() [2/2]

bool cudf::contains	(	column_view const &	haystack,
		scalar const &	needle,
		rmm::cuda_stream_view	stream = cudf::get_default_stream()
	)

Check if the given needle value exists in the haystack column.

Exceptions

cudf::logic_error

If haystack.type() != needle.type().

Single Column:
 idx           0   1   2   3   4
 haystack = { 10, 20, 20, 30, 50 }
 needle   = { 20 }
 result   = true

Parameters

haystack	The column containing search space
needle	A scalar value to check for existence in the search space
stream	CUDA stream used for device memory operations and kernel launches

Returns

true if the given needle value exists in the haystack column

lower_bound()

std::unique_ptr<column> cudf::lower_bound	(	table_view const &	haystack,
		table_view const &	needles,
		std::vector< order > const &	column_order,
		std::vector< null_order > const &	null_precedence,
		rmm::cuda_stream_view	stream = cudf::get_default_stream(),
		rmm::device_async_resource_ref	mr = cudf::get_current_device_resource_ref()
	)

Find smallest indices in a sorted table where values should be inserted to maintain order.

For each row in needles, find the first index in haystack where inserting the row still maintains its sort order.

Example:
 
 Single column:
     idx        0   1   2   3   4
  haystack = { 10, 20, 20, 30, 50 }
  needles  = { 20 }
  result   = {  1 }
 
 Multi Column:
     idx          0    1    2    3    4
  haystack = {{  10,  20,  20,  20,  20 },
              { 5.0,  .5,  .5,  .7,  .7 },
              {  90,  77,  78,  61,  61 }}
  needles  = {{ 20 },
              { .7 },
              { 61 }}
  result   = {   3 }

Parameters

haystack	The table containing search space
needles	Values for which to find the insert locations in the search space
column_order	Vector of column sort order
null_precedence	Vector of null_precedence enums needles
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns

A non-nullable column of elements containing the insertion points

upper_bound()

std::unique_ptr<column> cudf::upper_bound	(	table_view const &	haystack,
		table_view const &	needles,
		std::vector< order > const &	column_order,
		std::vector< null_order > const &	null_precedence,
		rmm::cuda_stream_view	stream = cudf::get_default_stream(),
		rmm::device_async_resource_ref	mr = cudf::get_current_device_resource_ref()
	)

Find largest indices in a sorted table where values should be inserted to maintain order.

For each row in needles, find the last index in haystack where inserting the row still maintains its sort order.

Example:
 
 Single Column:
     idx        0   1   2   3   4
  haystack = { 10, 20, 20, 30, 50 }
  needles  = { 20 }
  result   = {  3 }
 
 Multi Column:
     idx          0    1    2    3    4
  haystack = {{  10,  20,  20,  20,  20 },
              { 5.0,  .5,  .5,  .7,  .7 },
              {  90,  77,  78,  61,  61 }}
  needles  = {{ 20 },
              { .7 },
              { 61 }}
  result =     { 5 }

Parameters

haystack	The table containing search space
needles	Values for which to find the insert locations in the search space
column_order	Vector of column sort order
null_precedence	Vector of null_precedence enums needles
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns

A non-nullable column of elements containing the insertion points