FirstPrimitiveGroupsAccumulator

Struct FirstPrimitiveGroupsAccumulator 

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struct FirstPrimitiveGroupsAccumulator<T>
where T: ArrowPrimitiveType + Send,
{ vals: Vec<T::Native>, orderings: Vec<Vec<ScalarValue>>, is_sets: BooleanBufferBuilder, null_builder: BooleanBufferBuilder, size_of_orderings: usize, min_of_each_group_buf: (Vec<usize>, BooleanBufferBuilder), ordering_req: LexOrdering, pick_first_in_group: bool, sort_options: Vec<SortOptions>, ignore_nulls: bool, data_type: DataType, default_orderings: Vec<ScalarValue>, }

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§vals: Vec<T::Native>§orderings: Vec<Vec<ScalarValue>>§is_sets: BooleanBufferBuilder§null_builder: BooleanBufferBuilder§size_of_orderings: usize§min_of_each_group_buf: (Vec<usize>, BooleanBufferBuilder)§ordering_req: LexOrdering§pick_first_in_group: bool§sort_options: Vec<SortOptions>§ignore_nulls: bool§data_type: DataType

The output type

§default_orderings: Vec<ScalarValue>

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impl<T> FirstPrimitiveGroupsAccumulator<T>
where T: ArrowPrimitiveType + Send,

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fn try_new( ordering_req: LexOrdering, ignore_nulls: bool, data_type: &DataType, ordering_dtypes: &[DataType], pick_first_in_group: bool, ) -> Result<Self>

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fn should_update_state( &self, group_idx: usize, new_ordering_values: &[ScalarValue], ) -> Result<bool>

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fn take_orderings(&mut self, emit_to: EmitTo) -> Vec<Vec<ScalarValue>>

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fn take_need( bool_buf_builder: &mut BooleanBufferBuilder, emit_to: EmitTo, ) -> BooleanBuffer

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fn resize_states(&mut self, new_size: usize)

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fn update_state( &mut self, group_idx: usize, orderings: &[ScalarValue], new_val: T::Native, is_null: bool, )

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fn take_state( &mut self, emit_to: EmitTo, ) -> (ArrayRef, Vec<Vec<ScalarValue>>, BooleanBuffer)

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fn get_filtered_min_of_each_group( &mut self, orderings: &[ArrayRef], group_indices: &[usize], opt_filter: Option<&BooleanArray>, vals: &PrimitiveArray<T>, is_set_arr: Option<&BooleanArray>, ) -> Result<Vec<(usize, usize)>>

Returns a vector of tuples (group_idx, idx_in_val) representing the index of the minimum value in orderings for each group, using lexicographical comparison. Values are filtered using opt_filter and is_set_arr if provided. TODO: rename to get_filtered_extreme_of_each_group

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fn take_vals_and_null_buf(&mut self, emit_to: EmitTo) -> ArrayRef

Trait Implementations§

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impl<T> GroupsAccumulator for FirstPrimitiveGroupsAccumulator<T>
where T: ArrowPrimitiveType + Send,

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fn update_batch( &mut self, values_and_order_cols: &[ArrayRef], group_indices: &[usize], opt_filter: Option<&BooleanArray>, total_num_groups: usize, ) -> Result<()>

Updates the accumulator’s state from its arguments, encoded as a vector of [ArrayRef]s. Read more
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fn evaluate(&mut self, emit_to: EmitTo) -> Result<ArrayRef>

Returns the final aggregate value for each group as a single RecordBatch, resetting the internal state. Read more
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fn state(&mut self, emit_to: EmitTo) -> Result<Vec<ArrayRef>>

Returns the intermediate aggregate state for this accumulator, used for multi-phase grouping, resetting its internal state. Read more
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fn merge_batch( &mut self, values: &[ArrayRef], group_indices: &[usize], opt_filter: Option<&BooleanArray>, total_num_groups: usize, ) -> Result<()>

Merges intermediate state (the output from [Self::state]) into this accumulator’s current state. Read more
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fn size(&self) -> usize

Amount of memory used to store the state of this accumulator, in bytes. Read more
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fn supports_convert_to_state(&self) -> bool

Returns true if [Self::convert_to_state] is implemented to support intermediate aggregate state conversion.
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fn convert_to_state( &self, values: &[ArrayRef], opt_filter: Option<&BooleanArray>, ) -> Result<Vec<ArrayRef>>

Converts an input batch directly to the intermediate aggregate state. Read more

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