lance-encoding 4.0.0

Encoders and decoders for the Lance file format
Documentation
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
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The Lance Authors

use log::trace;

use crate::{
    Result,
    buffer::LanceBuffer,
    compression::MiniBlockDecompressor,
    data::DataBlock,
    encodings::{
        logical::primitive::miniblock::{MiniBlockCompressed, MiniBlockCompressor},
        physical::block::{CompressionConfig, GeneralBufferCompressor},
    },
    format::{ProtobufUtils21, pb21::CompressiveEncoding},
};

/// A miniblock compressor that wraps another miniblock compressor and applies
/// general-purpose compression (LZ4, Zstd) to the resulting buffers.
#[derive(Debug)]
pub struct GeneralMiniBlockCompressor {
    inner: Box<dyn MiniBlockCompressor>,
    compression: CompressionConfig,
}

impl GeneralMiniBlockCompressor {
    pub fn new(inner: Box<dyn MiniBlockCompressor>, compression: CompressionConfig) -> Self {
        Self { inner, compression }
    }
}

/// Minimum buffer size to consider for compression
const MIN_BUFFER_SIZE_FOR_COMPRESSION: usize = 4 * 1024;

use super::super::logical::primitive::miniblock::MiniBlockChunk;

impl MiniBlockCompressor for GeneralMiniBlockCompressor {
    fn compress(&self, page: DataBlock) -> Result<(MiniBlockCompressed, CompressiveEncoding)> {
        // First, compress with the inner compressor
        let (inner_compressed, inner_encoding) = self.inner.compress(page)?;

        // Return the original encoding without compression if there's no data or
        // the first buffer is not large enough
        if inner_compressed.data.is_empty()
            || inner_compressed.data[0].len() < MIN_BUFFER_SIZE_FOR_COMPRESSION
        {
            return Ok((inner_compressed, inner_encoding));
        }

        // We'll compress each chunk's portion of the first buffer independently
        let first_buffer = &inner_compressed.data[0];
        let mut compressed_first_buffer = Vec::new();
        let mut new_chunks = Vec::with_capacity(inner_compressed.chunks.iter().len());
        let mut offset = 0usize;
        let mut total_original_size = 0usize;

        let compressor = GeneralBufferCompressor::get_compressor(self.compression)?;

        for chunk in &inner_compressed.chunks {
            let chunk_first_buffer_size = chunk.buffer_sizes[0] as usize;

            let chunk_data = &first_buffer.as_ref()[offset..offset + chunk_first_buffer_size];
            total_original_size += chunk_first_buffer_size;

            let compressed_start = compressed_first_buffer.len();
            compressor.compress(chunk_data, &mut compressed_first_buffer)?;
            let compressed_size = compressed_first_buffer.len() - compressed_start;

            // Create new chunk with updated first buffer size
            let mut new_buffer_sizes = chunk.buffer_sizes.clone();
            new_buffer_sizes[0] = compressed_size as u32;

            new_chunks.push(MiniBlockChunk {
                buffer_sizes: new_buffer_sizes,
                log_num_values: chunk.log_num_values,
            });

            offset += chunk_first_buffer_size;
        }

        // Check if compression was effective
        let compressed_total_size = compressed_first_buffer.len();
        if compressed_total_size >= total_original_size {
            // Compression didn't help, return original
            return Ok((inner_compressed, inner_encoding));
        }

        trace!(
            "First buffer compressed from {} to {} bytes (ratio: {:.2})",
            total_original_size,
            compressed_total_size,
            compressed_total_size as f32 / total_original_size as f32
        );

        // Build final buffers: compressed first buffer + remaining original buffers
        let mut final_buffers = vec![LanceBuffer::from(compressed_first_buffer)];
        final_buffers.extend(inner_compressed.data.into_iter().skip(1));

        let compressed_result = MiniBlockCompressed {
            data: final_buffers,
            chunks: new_chunks,
            num_values: inner_compressed.num_values,
        };

        // Return compressed encoding
        let encoding = ProtobufUtils21::wrapped(self.compression, inner_encoding)?;
        Ok((compressed_result, encoding))
    }
}

/// A miniblock decompressor that first decompresses buffers using general-purpose
/// compression (LZ4, Zstd) and then delegates to an inner miniblock decompressor.
#[derive(Debug)]
pub struct GeneralMiniBlockDecompressor {
    inner: Box<dyn MiniBlockDecompressor>,
    compression: CompressionConfig,
}

impl GeneralMiniBlockDecompressor {
    pub fn new(inner: Box<dyn MiniBlockDecompressor>, compression: CompressionConfig) -> Self {
        Self { inner, compression }
    }
}

impl MiniBlockDecompressor for GeneralMiniBlockDecompressor {
    fn decompress(&self, mut data: Vec<LanceBuffer>, num_values: u64) -> Result<DataBlock> {
        let mut decompressed_buffer = Vec::new();

        let decompressor = GeneralBufferCompressor::get_compressor(self.compression)?;
        decompressor.decompress(&data[0], &mut decompressed_buffer)?;
        data[0] = LanceBuffer::from(decompressed_buffer);

        self.inner.decompress(data, num_values)
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::compression::{DecompressionStrategy, DefaultDecompressionStrategy};
    use crate::data::{BlockInfo, FixedWidthDataBlock};
    use crate::encodings::physical::block::CompressionScheme;
    use crate::encodings::physical::rle::RleEncoder;
    use crate::encodings::physical::value::ValueEncoder;
    use crate::format::pb21;
    use crate::format::pb21::compressive_encoding::Compression;
    use arrow_array::{Float64Array, Int32Array};

    #[derive(Debug)]
    struct TestCase {
        name: &'static str,
        inner_encoder: Box<dyn MiniBlockCompressor>,
        compression: CompressionConfig,
        data: DataBlock,
        expected_compressed: bool, // Whether we expect compression to be applied
        min_compression_ratio: f32, // Minimum compression ratio if compressed
    }

    fn create_test_cases() -> Vec<TestCase> {
        vec![
            // Small data with RLE - should not compress due to size threshold
            TestCase {
                name: "small_rle_data",
                inner_encoder: Box::new(RleEncoder),
                compression: CompressionConfig {
                    scheme: CompressionScheme::Lz4,
                    level: None,
                },
                data: create_repeated_i32_block(vec![1, 1, 1, 1, 2, 2, 2, 2]),
                expected_compressed: false,
                min_compression_ratio: 1.0,
            },
            // Large repeated data with RLE + LZ4
            TestCase {
                name: "large_rle_lz4",
                inner_encoder: Box::new(RleEncoder),
                compression: CompressionConfig {
                    scheme: CompressionScheme::Lz4,
                    level: None,
                },
                data: create_pattern_i32_block(2048, |i| (i / 8) as i32),
                expected_compressed: false, // RLE already compresses well, additional LZ4 may not help
                min_compression_ratio: 1.0,
            },
            // Large repeated data with RLE + Zstd
            TestCase {
                name: "large_rle_zstd",
                inner_encoder: Box::new(RleEncoder),
                compression: CompressionConfig {
                    scheme: CompressionScheme::Zstd,
                    level: Some(3),
                },
                data: create_pattern_i32_block(8192, |i| (i / 16) as i32),
                expected_compressed: true, // Zstd might provide additional compression
                min_compression_ratio: 0.9, // But not as much since RLE already compressed
            },
            // Sequential data with ValueEncoder + LZ4
            TestCase {
                name: "sequential_value_lz4",
                inner_encoder: Box::new(ValueEncoder {}),
                compression: CompressionConfig {
                    scheme: CompressionScheme::Lz4,
                    level: None,
                },
                data: create_pattern_i32_block(1024, |i| i as i32),
                expected_compressed: false, // Sequential data doesn't compress well
                min_compression_ratio: 1.0,
            },
            // Float data with ValueEncoder + Zstd
            TestCase {
                name: "float_value_zstd",
                inner_encoder: Box::new(ValueEncoder {}),
                compression: CompressionConfig {
                    scheme: CompressionScheme::Zstd,
                    level: Some(3),
                },
                data: create_pattern_f64_block(1024, |i| i as f64 * 0.1),
                expected_compressed: true,
                min_compression_ratio: 0.9,
            },
        ]
    }

    fn create_repeated_i32_block(values: Vec<i32>) -> DataBlock {
        let array = Int32Array::from(values);
        DataBlock::from_array(array)
    }

    fn create_pattern_i32_block<F>(size: usize, pattern: F) -> DataBlock
    where
        F: Fn(usize) -> i32,
    {
        let values: Vec<i32> = (0..size).map(pattern).collect();
        let array = Int32Array::from(values);
        DataBlock::from_array(array)
    }

    fn create_pattern_f64_block<F>(size: usize, pattern: F) -> DataBlock
    where
        F: Fn(usize) -> f64,
    {
        let values: Vec<f64> = (0..size).map(pattern).collect();
        let array = Float64Array::from(values);
        DataBlock::from_array(array)
    }

    fn run_round_trip_test(test_case: TestCase) {
        let compressor =
            GeneralMiniBlockCompressor::new(test_case.inner_encoder, test_case.compression);

        // Compress the data
        let (compressed, encoding) = compressor.compress(test_case.data).unwrap();

        // Check if compression was applied as expected
        match &encoding.compression {
            Some(Compression::General(cm)) => {
                assert!(
                    test_case.expected_compressed,
                    "{}: Expected compression to be applied",
                    test_case.name
                );
                assert_eq!(
                    CompressionScheme::try_from(cm.compression.as_ref().unwrap().scheme()).unwrap(),
                    test_case.compression.scheme
                );
            }
            _ => {
                // Could be RLE or other encoding if compression didn't help
                if test_case.expected_compressed {
                    // Check if it's RLE encoding (which means compression didn't help)
                    match &encoding.compression {
                        Some(Compression::Rle(_)) => {
                            // RLE encoding returned - compression didn't help
                        }
                        Some(Compression::Flat(_)) => {
                            // Flat encoding returned - compression didn't help
                        }
                        _ => {
                            panic!(
                                "{}: Expected GeneralMiniBlock but got {:?}",
                                test_case.name, encoding.compression
                            );
                        }
                    }
                }
            }
        }

        // Verify chunks are created correctly
        assert!(
            !compressed.chunks.is_empty(),
            "{}: No chunks created",
            test_case.name
        );

        // Test decompression by simulating the actual miniblock decoding process
        let decompressed_data = decompress_miniblock_chunks(&compressed, &encoding);

        // Verify round trip by checking data size
        // We expect the decompressed data to match the original number of values
        // The bytes per value depends on the test case
        let bytes_per_value = if test_case.name.contains("float") {
            8 // f64
        } else {
            4 // i32
        };
        let expected_bytes = compressed.num_values as usize * bytes_per_value;
        assert_eq!(
            expected_bytes,
            decompressed_data.len(),
            "{}: Data size mismatch",
            test_case.name
        );

        // Check compression ratio if applicable
        if test_case.expected_compressed {
            let compression_ratio = compressed.data[0].len() as f32 / expected_bytes as f32;
            assert!(
                compression_ratio <= test_case.min_compression_ratio,
                "{}: Compression ratio {} > expected {}",
                test_case.name,
                compression_ratio,
                test_case.min_compression_ratio
            );
        }
    }

    fn decompress_miniblock_chunks(
        compressed: &MiniBlockCompressed,
        encoding: &CompressiveEncoding,
    ) -> Vec<u8> {
        let mut decompressed_data = Vec::new();
        let mut offsets = vec![0usize; compressed.data.len()]; // Track offset for each buffer
        let decompression_strategy = DefaultDecompressionStrategy::default();

        for chunk in &compressed.chunks {
            let chunk_values = if chunk.log_num_values > 0 {
                1u64 << chunk.log_num_values
            } else {
                // Last chunk - calculate remaining values
                let decompressed_values =
                    decompressed_data.len() as u64 / get_bytes_per_value(compressed) as u64;
                compressed.num_values.saturating_sub(decompressed_values)
            };

            // Extract buffers for this chunk
            let mut chunk_buffers = Vec::new();
            for (i, &size) in chunk.buffer_sizes.iter().enumerate() {
                if i < compressed.data.len() {
                    let buffer_data =
                        compressed.data[i].slice_with_length(offsets[i], size as usize);
                    chunk_buffers.push(buffer_data);
                    offsets[i] += size as usize;
                }
            }

            // Create a decompressor for this chunk
            let decompressor = decompression_strategy
                .create_miniblock_decompressor(encoding, &decompression_strategy)
                .unwrap();

            // Decompress the chunk
            let chunk_decompressed = decompressor
                .decompress(chunk_buffers, chunk_values)
                .unwrap();

            match chunk_decompressed {
                DataBlock::FixedWidth(ref block) => {
                    decompressed_data.extend_from_slice(block.data.as_ref());
                }
                _ => panic!("Expected FixedWidth block"),
            }
        }

        decompressed_data
    }

    fn get_bytes_per_value(compressed: &MiniBlockCompressed) -> usize {
        // This is a simplification - in reality we'd need to know the data type
        // For our tests, we mostly use i32 (4 bytes) or f64 (8 bytes)
        // We can try to guess based on the data size
        if compressed.num_values == 0 {
            return 4; // Default to i32
        }

        // For float tests, the number is usually 1024 and we use f64
        if compressed.num_values == 1024 {
            return 8; // Likely f64
        }

        4 // Default to i32
    }

    #[test]
    fn test_compressed_mini_block_table_driven() {
        for test_case in create_test_cases() {
            run_round_trip_test(test_case);
        }
    }

    #[test]
    fn test_compressed_mini_block_threshold() {
        // Test that small buffers don't get compressed
        let small_test = TestCase {
            name: "small_buffer_no_compression",
            inner_encoder: Box::new(RleEncoder),
            compression: CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
            data: create_repeated_i32_block(vec![1, 1, 2, 2]),
            expected_compressed: false,
            min_compression_ratio: 1.0,
        };
        run_round_trip_test(small_test);
    }

    #[test]
    fn test_compressed_mini_block_with_doubles() {
        // Test with large sequential doubles that should compress well with Zstd
        // The test focuses on verifying that GeneralMiniBlock works correctly
        // when wrapping a simple ValueEncoder
        let test_case = TestCase {
            name: "float_values_with_zstd",
            inner_encoder: Box::new(ValueEncoder {}),
            compression: CompressionConfig {
                scheme: CompressionScheme::Zstd,
                level: Some(3),
            },
            // Create enough data to ensure compression is applied
            data: create_pattern_f64_block(1024, |i| (i / 10) as f64),
            expected_compressed: true,
            min_compression_ratio: 0.5, // Zstd should achieve good compression on repetitive data
        };

        run_round_trip_test(test_case);
    }

    #[test]
    fn test_compressed_mini_block_large_buffers() {
        // Use value encoding which doesn't compress data, ensuring large buffers
        // Create 1024 i32 values (4KB of data)
        let values: Vec<i32> = (0..1024).collect();
        let data = LanceBuffer::from_bytes(
            bytemuck::cast_slice(&values).to_vec().into(),
            std::mem::align_of::<i32>() as u64,
        );
        let block = DataBlock::FixedWidth(FixedWidthDataBlock {
            bits_per_value: 32,
            data,
            num_values: 1024,
            block_info: BlockInfo::new(),
        });

        // Create compressor with ValueEncoder (no compression) and Zstd wrapper
        let inner = Box::new(ValueEncoder {});
        let compression = CompressionConfig {
            scheme: CompressionScheme::Zstd,
            level: Some(3),
        };
        let compressor = GeneralMiniBlockCompressor::new(inner, compression);

        // Compress the data
        let (compressed, encoding) = compressor.compress(block).unwrap();

        // Should get GeneralMiniBlock encoding since buffer is 4KB
        match &encoding.compression {
            Some(Compression::General(cm)) => {
                assert!(cm.values.is_some());
                assert_eq!(
                    cm.compression.as_ref().unwrap().scheme(),
                    pb21::CompressionScheme::CompressionAlgorithmZstd
                );
                assert_eq!(cm.compression.as_ref().unwrap().level, Some(3));

                // Verify inner encoding is Flat (from ValueEncoder)
                match &cm.values.as_ref().unwrap().compression {
                    Some(Compression::Flat(flat)) => {
                        assert_eq!(flat.bits_per_value, 32);
                    }
                    _ => panic!("Expected Flat inner encoding"),
                }
            }
            _ => panic!("Expected GeneralMiniBlock encoding"),
        }

        assert_eq!(compressed.num_values, 1024);
        // ValueEncoder produces 1 buffer, so compressed result also has 1 buffer
        assert_eq!(compressed.data.len(), 1);
    }

    // Special test cases that don't fit the table-driven pattern

    #[test]
    fn test_compressed_mini_block_rle_multiple_buffers() {
        // RLE produces 2 buffers (values and lengths), test that both are handled correctly
        let data = create_repeated_i32_block(vec![1; 100]);
        let compressor = GeneralMiniBlockCompressor::new(
            Box::new(RleEncoder),
            CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
        );

        let (compressed, _) = compressor.compress(data).unwrap();
        // RLE produces 2 buffers, but only the first one is compressed
        assert_eq!(compressed.data.len(), 2);
    }

    #[test]
    fn test_rle_with_general_miniblock_wrapper() {
        // Test that RLE encoding with bits_per_value >= 32 is automatically wrapped
        // in GeneralMiniBlock with LZ4 compression

        // This test directly tests the RLE encoder behavior
        // When bits_per_value >= 32, RLE should be wrapped in GeneralMiniBlock with LZ4

        // Test case 1: 32-bit RLE data
        let test_32 = TestCase {
            name: "rle_32bit_with_general_wrapper",
            inner_encoder: Box::new(RleEncoder),
            compression: CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
            data: create_repeated_i32_block(vec![1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3]),
            expected_compressed: false, // RLE already compresses well, LZ4 might not help much
            min_compression_ratio: 1.0,
        };

        // For 32-bit RLE, the compression strategy should automatically wrap it
        // Let's directly test the compressor
        let compressor = GeneralMiniBlockCompressor::new(
            Box::new(RleEncoder),
            CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
        );

        let (_compressed, encoding) = compressor.compress(test_32.data).unwrap();

        // Verify the encoding structure
        match &encoding.compression {
            Some(Compression::General(cm)) => {
                // Check inner encoding is RLE
                match &cm.values.as_ref().unwrap().compression {
                    Some(Compression::Rle(rle)) => {
                        let Compression::Flat(values) =
                            rle.values.as_ref().unwrap().compression.as_ref().unwrap()
                        else {
                            panic!("Expected flat for RLE values")
                        };
                        let Compression::Flat(run_lengths) = rle
                            .run_lengths
                            .as_ref()
                            .unwrap()
                            .compression
                            .as_ref()
                            .unwrap()
                        else {
                            panic!("Expected flat for RLE run lengths")
                        };
                        assert_eq!(values.bits_per_value, 32);
                        assert_eq!(run_lengths.bits_per_value, 8);
                    }
                    _ => panic!("Expected RLE as inner encoding"),
                }
                // Check compression is LZ4
                assert_eq!(
                    cm.compression.as_ref().unwrap().scheme(),
                    pb21::CompressionScheme::CompressionAlgorithmLz4
                );
            }
            Some(Compression::Rle(_)) => {
                // Also acceptable if compression didn't help
            }
            _ => panic!("Expected GeneralMiniBlock or Rle encoding"),
        }

        // Test case 2: 64-bit RLE data
        let values_64: Vec<i64> = vec![100i64; 50]
            .into_iter()
            .chain(vec![200i64; 50])
            .chain(vec![300i64; 50])
            .collect();
        let array_64 = arrow_array::Int64Array::from(values_64);
        let block_64 = DataBlock::from_array(array_64);

        let compressor_64 = GeneralMiniBlockCompressor::new(
            Box::new(RleEncoder),
            CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
        );

        let (_compressed_64, encoding_64) = compressor_64.compress(block_64).unwrap();

        // Verify the encoding structure for 64-bit
        match &encoding_64.compression {
            Some(Compression::General(cm)) => {
                // Check inner encoding is RLE
                match &cm.values.as_ref().unwrap().compression {
                    Some(Compression::Rle(rle)) => {
                        let Compression::Flat(values) =
                            rle.values.as_ref().unwrap().compression.as_ref().unwrap()
                        else {
                            panic!("Expected flat for RLE values")
                        };
                        let Compression::Flat(run_lengths) = rle
                            .run_lengths
                            .as_ref()
                            .unwrap()
                            .compression
                            .as_ref()
                            .unwrap()
                        else {
                            panic!("Expected flat for RLE run lengths")
                        };
                        assert_eq!(values.bits_per_value, 64);
                        assert_eq!(run_lengths.bits_per_value, 8);
                    }
                    _ => panic!("Expected RLE as inner encoding for 64-bit"),
                }
                // Check compression is LZ4
                assert_eq!(
                    cm.compression.as_ref().unwrap().scheme(),
                    pb21::CompressionScheme::CompressionAlgorithmLz4
                );
            }
            Some(Compression::Rle(_)) => {
                // Also acceptable if compression didn't help
            }
            _ => panic!("Expected GeneralMiniBlock or Rle encoding for 64-bit"),
        }
    }

    #[test]
    fn test_compressed_mini_block_empty_data() {
        let empty_array = Int32Array::from(vec![] as Vec<i32>);
        let empty_block = DataBlock::from_array(empty_array);

        let compressor = GeneralMiniBlockCompressor::new(
            Box::new(ValueEncoder {}),
            CompressionConfig {
                scheme: CompressionScheme::Lz4,
                level: None,
            },
        );

        let result = compressor.compress(empty_block);
        match result {
            Ok((compressed, _)) => {
                assert_eq!(compressed.num_values, 0);
            }
            Err(_) => {
                // Empty data might not be supported by ValueEncoder
            }
        }
    }
}