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Lists Gather#

group lists_gather

Functions

std::unique_ptr<column> segmented_gather(lists_column_view const &source_column, lists_column_view const &gather_map_list, out_of_bounds_policy bounds_policy = out_of_bounds_policy::DONT_CHECK, rmm::cuda_stream_view stream = cudf::get_default_stream(), rmm::mr::device_memory_resource *mr = rmm::mr::get_current_device_resource())#

Segmented gather of the elements within a list element in each row of a list column.

source_column with any depth and gather_map_list with depth 1 are only supported.

source_column   : [{"a", "b", "c", "d"}, {"1", "2", "3", "4"}, {"x", "y", "z"}]
gather_map_list : [{0, 1, 3, 2}, {1, 3, 2}, {}]

result          : [{"a", "b", "d", "c"}, {"2", "4", "3"}, {}]

If indices in gather_map_list are outside the range [-n, n), where n is the number of elements in corresponding row of the source column, the behavior is as follows:

  1. If bounds_policy is set to DONT_CHECK, the behavior is undefined.

  2. If bounds_policy is set to NULLIFY, the corresponding element in the list row is set to null in the output column.

source_column       : [{"a", "b", "c", "d"}, {"1", "2", "3", "4"}, {"x", "y", "z"}]
gather_map_list     : [{0, -1, 4, -5}, {1, 3, 5}, {}]

result_with_nullify : [{"a", "d", null, null}, {"2", "4", null}, {}]
Throws:

  • cudf::logic_error – if gather_map_list size is not same as source_column size.

  • std::invalid_argument – if gather_map contains null values.

  • cudf::logic_error – if gather_map is not list column of an index type.

Parameters:

  • source_column – View into the list column to gather from

  • gather_map_list – View into a non-nullable list column of integral indices that maps the element in list of each row in the source columns to rows of lists in the destination columns.

  • bounds_policy – Can be DONT_CHECK or NULLIFY. Selects whether or not to nullify the output list row’s element, when the gather index falls outside the range [-n, n), where n is the number of elements in list row corresponding to the gather-map row.

  • stream – CUDA stream used for device memory operations and kernel launches.

  • mr – Device memory resource to allocate any returned objects

Returns:

column with elements in list of rows gathered based on gather_map_list

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