datafusion-physical-plan 53.1.0

// Licensed to the Apache Software Foundation (ASF) under one
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// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

use crate::aggregates::group_values::GroupValues;
use arrow::array::{Array, ArrayRef};
use datafusion_expr::EmitTo;
use datafusion_physical_expr::binary_map::OutputType;
use datafusion_physical_expr_common::binary_view_map::ArrowBytesViewMap;
use std::mem::size_of;

/// A [`GroupValues`] storing single column of Utf8View/BinaryView values
///
/// This specialization is significantly faster than using the more general
/// purpose `Row`s format
pub struct GroupValuesBytesView {
    /// Map string/binary values to group index
    map: ArrowBytesViewMap<usize>,
    /// The total number of groups so far (used to assign group_index)
    num_groups: usize,
}

impl GroupValuesBytesView {
    pub fn new(output_type: OutputType) -> Self {
        Self {
            map: ArrowBytesViewMap::new(output_type),
            num_groups: 0,
        }
    }
}

impl GroupValues for GroupValuesBytesView {
    fn intern(
        &mut self,
        cols: &[ArrayRef],
        groups: &mut Vec<usize>,
    ) -> datafusion_common::Result<()> {
        assert_eq!(cols.len(), 1);

        // look up / add entries in the table
        let arr = &cols[0];

        groups.clear();
        self.map.insert_if_new(
            arr,
            // called for each new group
            |_value| {
                // assign new group index on each insert
                let group_idx = self.num_groups;
                self.num_groups += 1;
                group_idx
            },
            // called for each group
            |group_idx| {
                groups.push(group_idx);
            },
        );

        // ensure we assigned a group to for each row
        assert_eq!(groups.len(), arr.len());
        Ok(())
    }

    fn size(&self) -> usize {
        self.map.size() + size_of::<Self>()
    }

    fn is_empty(&self) -> bool {
        self.num_groups == 0
    }

    fn len(&self) -> usize {
        self.num_groups
    }

    fn emit(&mut self, emit_to: EmitTo) -> datafusion_common::Result<Vec<ArrayRef>> {
        // Reset the map to default, and convert it into a single array
        let map_contents = self.map.take().into_state();

        let group_values = match emit_to {
            EmitTo::All => {
                self.num_groups -= map_contents.len();
                map_contents
            }
            EmitTo::First(n) if n == self.len() => {
                self.num_groups -= map_contents.len();
                map_contents
            }
            EmitTo::First(n) => {
                // if we only wanted to take the first n, insert the rest back
                // into the map we could potentially avoid this reallocation, at
                // the expense of much more complex code.
                // see https://github.com/apache/datafusion/issues/9195
                let emit_group_values = map_contents.slice(0, n);
                let remaining_group_values =
                    map_contents.slice(n, map_contents.len() - n);

                self.num_groups = 0;
                let mut group_indexes = vec![];
                self.intern(&[remaining_group_values], &mut group_indexes)?;

                // Verify that the group indexes were assigned in the correct order
                assert_eq!(0, group_indexes[0]);

                emit_group_values
            }
        };

        Ok(vec![group_values])
    }

    fn clear_shrink(&mut self, _num_rows: usize) {
        // in theory we could potentially avoid this reallocation and clear the
        // contents of the maps, but for now we just reset the map from the beginning
        self.map.take();
    }
}