lance_encoding/encodings/physical/
fixed_size_list.rs

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The Lance Authors

use std::sync::Arc;

use arrow_schema::DataType;
use futures::{future::BoxFuture, FutureExt};
use lance_core::Result;
use log::trace;

use crate::{
    data::{DataBlock, FixedSizeListBlock},
    decoder::{PageScheduler, PrimitivePageDecoder},
    encoder::{ArrayEncoder, EncodedArray},
    format::ProtobufUtils,
    EncodingsIo,
};

/// A scheduler for fixed size lists of primitive values
///
/// This scheduler is, itself, primitive
#[derive(Debug)]
pub struct FixedListScheduler {
    items_scheduler: Box<dyn PageScheduler>,
    dimension: u32,
}

impl FixedListScheduler {
    pub fn new(items_scheduler: Box<dyn PageScheduler>, dimension: u32) -> Self {
        Self {
            items_scheduler,
            dimension,
        }
    }
}

impl PageScheduler for FixedListScheduler {
    fn schedule_ranges(
        &self,
        ranges: &[std::ops::Range<u64>],
        scheduler: &Arc<dyn EncodingsIo>,
        top_level_row: u64,
    ) -> BoxFuture<'static, Result<Box<dyn PrimitivePageDecoder>>> {
        let expanded_ranges = ranges
            .iter()
            .map(|range| (range.start * self.dimension as u64)..(range.end * self.dimension as u64))
            .collect::<Vec<_>>();
        trace!(
            "Expanding {} fsl ranges across {}..{} to item ranges across {}..{}",
            ranges.len(),
            ranges[0].start,
            ranges[ranges.len() - 1].end,
            expanded_ranges[0].start,
            expanded_ranges[expanded_ranges.len() - 1].end
        );
        let inner_page_decoder =
            self.items_scheduler
                .schedule_ranges(&expanded_ranges, scheduler, top_level_row);
        let dimension = self.dimension;
        async move {
            let items_decoder = inner_page_decoder.await?;
            Ok(Box::new(FixedListDecoder {
                items_decoder,
                dimension: dimension as u64,
            }) as Box<dyn PrimitivePageDecoder>)
        }
        .boxed()
    }
}

pub struct FixedListDecoder {
    items_decoder: Box<dyn PrimitivePageDecoder>,
    dimension: u64,
}

impl PrimitivePageDecoder for FixedListDecoder {
    fn decode(&self, rows_to_skip: u64, num_rows: u64) -> Result<DataBlock> {
        let rows_to_skip = rows_to_skip * self.dimension;
        let num_child_rows = num_rows * self.dimension;
        let child_data = self.items_decoder.decode(rows_to_skip, num_child_rows)?;
        Ok(DataBlock::FixedSizeList(FixedSizeListBlock {
            child: Box::new(child_data),
            dimension: self.dimension,
        }))
    }
}

#[derive(Debug)]
pub struct FslEncoder {
    items_encoder: Box<dyn ArrayEncoder>,
    dimension: u32,
}

impl FslEncoder {
    pub fn new(items_encoder: Box<dyn ArrayEncoder>, dimension: u32) -> Self {
        Self {
            items_encoder,
            dimension,
        }
    }
}

impl ArrayEncoder for FslEncoder {
    fn encode(
        &self,
        data: DataBlock,
        data_type: &DataType,
        buffer_index: &mut u32,
    ) -> Result<EncodedArray> {
        let inner_type = match data_type {
            DataType::FixedSizeList(inner_field, _) => inner_field.data_type().clone(),
            _ => panic!("Expected fixed size list data type and got {}", data_type),
        };
        let data = data.as_fixed_size_list().unwrap();
        let child = *data.child;

        let encoded_data = self
            .items_encoder
            .encode(child, &inner_type, buffer_index)?;

        let data = DataBlock::FixedSizeList(FixedSizeListBlock {
            child: Box::new(encoded_data.data),
            dimension: self.dimension as u64,
        });

        let encoding = ProtobufUtils::fixed_size_list(encoded_data.encoding, self.dimension as u64);
        Ok(EncodedArray { data, encoding })
    }
}

#[cfg(test)]
mod tests {
    use std::{collections::HashMap, sync::Arc};

    use arrow::datatypes::Int32Type;
    use arrow_array::{FixedSizeListArray, Int32Array};
    use arrow_buffer::{BooleanBuffer, NullBuffer};
    use arrow_schema::{DataType, Field};
    use lance_datagen::{array, gen_array, ArrayGeneratorExt, RowCount};
    use rstest::rstest;

    use crate::{
        testing::{check_round_trip_encoding_of_data, check_round_trip_encoding_random, TestCases},
        version::LanceFileVersion,
    };

    const PRIMITIVE_TYPES: &[DataType] = &[DataType::Int8, DataType::Float32, DataType::Float64];

    #[rstest]
    #[test_log::test(tokio::test)]
    async fn test_value_fsl_primitive(
        #[values(LanceFileVersion::V2_0, LanceFileVersion::V2_1)] version: LanceFileVersion,
    ) {
        for data_type in PRIMITIVE_TYPES {
            let inner_field = Field::new("item", data_type.clone(), true);
            let data_type = DataType::FixedSizeList(Arc::new(inner_field), 16);
            let field = Field::new("", data_type, false);
            check_round_trip_encoding_random(field, version).await;
        }
    }

    #[test_log::test(tokio::test)]
    async fn test_simple_fsl() {
        let items = Arc::new(Int32Array::from(vec![
            Some(0),
            None,
            Some(2),
            Some(3),
            Some(4),
            Some(5),
        ]));
        let items_field = Arc::new(Field::new("item", DataType::Int32, true));
        let list_nulls = NullBuffer::new(BooleanBuffer::from(vec![true, false, true]));
        let list = Arc::new(FixedSizeListArray::new(
            items_field,
            2,
            items,
            Some(list_nulls),
        ));

        let test_cases = TestCases::default()
            .with_range(0..3)
            .with_range(0..2)
            .with_range(1..3)
            .with_indices(vec![0, 1, 2])
            .with_indices(vec![1])
            .with_indices(vec![2])
            .with_file_version(LanceFileVersion::V2_1);

        check_round_trip_encoding_of_data(vec![list], &test_cases, HashMap::default()).await;
    }

    #[test_log::test(tokio::test)]
    #[ignore]
    async fn test_simple_wide_fsl() {
        let items = gen_array(array::rand::<Int32Type>().with_random_nulls(0.1))
            .into_array_rows(RowCount::from(4096))
            .unwrap();
        let items_field = Arc::new(Field::new("item", DataType::Int32, true));
        let list_nulls = NullBuffer::new(BooleanBuffer::from(vec![true, false, true, false]));
        let list = Arc::new(FixedSizeListArray::new(
            items_field,
            1024,
            items,
            Some(list_nulls),
        ));

        let test_cases = TestCases::default()
            .with_range(0..3)
            .with_range(0..2)
            .with_range(1..3)
            .with_indices(vec![0, 1, 2])
            .with_indices(vec![1])
            .with_indices(vec![2])
            .with_file_version(LanceFileVersion::V2_1);

        check_round_trip_encoding_of_data(vec![list], &test_cases, HashMap::default()).await;
    }

    #[test_log::test(tokio::test)]
    async fn test_nested_fsl() {
        // [[0, 1], NULL], NULL, [[8, 9], [NULL, 11]]
        let items = Arc::new(Int32Array::from(vec![
            Some(0),
            Some(1),
            None,
            None,
            None,
            None,
            None,
            None,
            Some(8),
            Some(9),
            None,
            Some(11),
        ]));
        let items_field = Arc::new(Field::new("item", DataType::Int32, true));
        let inner_list_nulls = NullBuffer::new(BooleanBuffer::from(vec![
            true, false, false, false, true, true,
        ]));
        let inner_list = Arc::new(FixedSizeListArray::new(
            items_field.clone(),
            2,
            items,
            Some(inner_list_nulls),
        ));
        let inner_list_field = Arc::new(Field::new(
            "item",
            DataType::FixedSizeList(items_field, 2),
            true,
        ));
        let outer_list_nulls = NullBuffer::new(BooleanBuffer::from(vec![true, false, true]));
        let outer_list = Arc::new(FixedSizeListArray::new(
            inner_list_field,
            2,
            inner_list,
            Some(outer_list_nulls),
        ));

        let test_cases = TestCases::default()
            .with_range(0..3)
            .with_range(0..2)
            .with_range(1..3)
            .with_indices(vec![0, 1, 2])
            .with_indices(vec![2])
            .with_file_version(LanceFileVersion::V2_1);

        check_round_trip_encoding_of_data(vec![outer_list], &test_cases, HashMap::default()).await;
    }
}