datafusion-catalog-listing 53.1.0

datafusion-catalog-listing
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
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// 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.

//! Helper functions for the table implementation

use std::mem;
use std::sync::Arc;

use datafusion_catalog::Session;
use datafusion_common::{HashMap, Result, ScalarValue, assert_or_internal_err};
use datafusion_datasource::ListingTableUrl;
use datafusion_datasource::PartitionedFile;
use datafusion_expr::{BinaryExpr, Operator, lit, utils};

use arrow::{
    array::AsArray,
    datatypes::{DataType, Field},
    record_batch::RecordBatch,
};
use datafusion_expr::execution_props::ExecutionProps;
use futures::stream::FuturesUnordered;
use futures::{StreamExt, TryStreamExt, stream::BoxStream};
use log::{debug, trace};

use datafusion_common::tree_node::{TreeNode, TreeNodeRecursion};
use datafusion_common::{Column, DFSchema};
use datafusion_expr::{Expr, Volatility};
use datafusion_physical_expr::create_physical_expr;
use object_store::path::Path;
use object_store::{ObjectMeta, ObjectStore};

/// Check whether the given expression can be resolved using only the columns `col_names`.
/// This means that if this function returns true:
/// - the table provider can filter the table partition values with this expression
/// - the expression can be marked as `TableProviderFilterPushDown::Exact` once this filtering
///   was performed
pub fn expr_applicable_for_cols(col_names: &[&str], expr: &Expr) -> bool {
    let mut is_applicable = true;
    expr.apply(|expr| match expr {
        Expr::Column(Column { name, .. }) => {
            is_applicable &= col_names.contains(&name.as_str());
            if is_applicable {
                Ok(TreeNodeRecursion::Jump)
            } else {
                Ok(TreeNodeRecursion::Stop)
            }
        }
        Expr::Literal(_, _)
        | Expr::Alias(_)
        | Expr::OuterReferenceColumn(_, _)
        | Expr::ScalarVariable(_, _)
        | Expr::Not(_)
        | Expr::IsNotNull(_)
        | Expr::IsNull(_)
        | Expr::IsTrue(_)
        | Expr::IsFalse(_)
        | Expr::IsUnknown(_)
        | Expr::IsNotTrue(_)
        | Expr::IsNotFalse(_)
        | Expr::IsNotUnknown(_)
        | Expr::Negative(_)
        | Expr::Cast(_)
        | Expr::TryCast(_)
        | Expr::BinaryExpr(_)
        | Expr::Between(_)
        | Expr::Like(_)
        | Expr::SimilarTo(_)
        | Expr::InList(_)
        | Expr::Exists(_)
        | Expr::InSubquery(_)
        | Expr::ScalarSubquery(_)
        | Expr::SetComparison(_)
        | Expr::GroupingSet(_)
        | Expr::Case(_) => Ok(TreeNodeRecursion::Continue),

        Expr::ScalarFunction(scalar_function) => {
            match scalar_function.func.signature().volatility {
                Volatility::Immutable => Ok(TreeNodeRecursion::Continue),
                // TODO: Stable functions could be `applicable`, but that would require access to the context
                Volatility::Stable | Volatility::Volatile => {
                    is_applicable = false;
                    Ok(TreeNodeRecursion::Stop)
                }
            }
        }

        // TODO other expressions are not handled yet:
        // - AGGREGATE and WINDOW should not end up in filter conditions, except maybe in some edge cases
        // - Can `Wildcard` be considered as a `Literal`?
        // - ScalarVariable could be `applicable`, but that would require access to the context
        // TODO: remove the next line after `Expr::Wildcard` is removed
        #[expect(deprecated)]
        Expr::AggregateFunction { .. }
        | Expr::WindowFunction { .. }
        | Expr::Wildcard { .. }
        | Expr::Unnest { .. }
        | Expr::Placeholder(_) => {
            is_applicable = false;
            Ok(TreeNodeRecursion::Stop)
        }
    })
    .unwrap();
    is_applicable
}

/// The maximum number of concurrent listing requests
const CONCURRENCY_LIMIT: usize = 100;

/// Partition the list of files into `n` groups
#[deprecated(since = "47.0.0", note = "use `FileGroup::split_files` instead")]
pub fn split_files(
    mut partitioned_files: Vec<PartitionedFile>,
    n: usize,
) -> Vec<Vec<PartitionedFile>> {
    if partitioned_files.is_empty() {
        return vec![];
    }

    // ObjectStore::list does not guarantee any consistent order and for some
    // implementations such as LocalFileSystem, it may be inconsistent. Thus
    // Sort files by path to ensure consistent plans when run more than once.
    partitioned_files.sort_by(|a, b| a.path().cmp(b.path()));

    // effectively this is div with rounding up instead of truncating
    let chunk_size = partitioned_files.len().div_ceil(n);
    let mut chunks = Vec::with_capacity(n);
    let mut current_chunk = Vec::with_capacity(chunk_size);
    for file in partitioned_files.drain(..) {
        current_chunk.push(file);
        if current_chunk.len() == chunk_size {
            let full_chunk =
                mem::replace(&mut current_chunk, Vec::with_capacity(chunk_size));
            chunks.push(full_chunk);
        }
    }

    if !current_chunk.is_empty() {
        chunks.push(current_chunk)
    }

    chunks
}

#[derive(Debug)]
pub struct Partition {
    /// The path to the partition, including the table prefix
    path: Path,
    /// How many path segments below the table prefix `path` contains
    /// or equivalently the number of partition values in `path`
    depth: usize,
    /// The files contained as direct children of this `Partition` if known
    files: Option<Vec<ObjectMeta>>,
}

impl Partition {
    /// List the direct children of this partition updating `self.files` with
    /// any child files, and returning a list of child "directories"
    async fn list(mut self, store: &dyn ObjectStore) -> Result<(Self, Vec<Path>)> {
        trace!("Listing partition {}", self.path);
        let prefix = Some(&self.path).filter(|p| !p.as_ref().is_empty());
        let result = store.list_with_delimiter(prefix).await?;
        self.files = Some(
            result
                .objects
                .into_iter()
                .filter(|object_meta| object_meta.size > 0)
                .collect(),
        );
        Ok((self, result.common_prefixes))
    }
}

/// Returns a recursive list of the partitions in `table_path` up to `max_depth`
pub async fn list_partitions(
    store: &dyn ObjectStore,
    table_path: &ListingTableUrl,
    max_depth: usize,
    partition_prefix: Option<Path>,
) -> Result<Vec<Partition>> {
    let partition = Partition {
        path: match partition_prefix {
            Some(prefix) => Path::from_iter(
                Path::from(table_path.prefix().as_ref())
                    .parts()
                    .chain(Path::from(prefix.as_ref()).parts()),
            ),
            None => table_path.prefix().clone(),
        },
        depth: 0,
        files: None,
    };

    let mut out = Vec::with_capacity(64);

    let mut pending = vec![];
    let mut futures = FuturesUnordered::new();
    futures.push(partition.list(store));

    while let Some((partition, paths)) = futures.next().await.transpose()? {
        // If pending contains a future it implies prior to this iteration
        // `futures.len == CONCURRENCY_LIMIT`. We can therefore add a single
        // future from `pending` to the working set
        if let Some(next) = pending.pop() {
            futures.push(next)
        }

        let depth = partition.depth;
        out.push(partition);
        for path in paths {
            let child = Partition {
                path,
                depth: depth + 1,
                files: None,
            };
            match depth < max_depth {
                true => match futures.len() < CONCURRENCY_LIMIT {
                    true => futures.push(child.list(store)),
                    false => pending.push(child.list(store)),
                },
                false => out.push(child),
            }
        }
    }
    Ok(out)
}

#[derive(Debug)]
enum PartitionValue {
    Single(String),
    Multi,
}

fn populate_partition_values<'a>(
    partition_values: &mut HashMap<&'a str, PartitionValue>,
    filter: &'a Expr,
) {
    if let Expr::BinaryExpr(BinaryExpr { left, op, right }) = filter {
        match op {
            Operator::Eq => match (left.as_ref(), right.as_ref()) {
                (Expr::Column(Column { name, .. }), Expr::Literal(val, _))
                | (Expr::Literal(val, _), Expr::Column(Column { name, .. })) => {
                    if partition_values
                        .insert(name, PartitionValue::Single(val.to_string()))
                        .is_some()
                    {
                        partition_values.insert(name, PartitionValue::Multi);
                    }
                }
                _ => {}
            },
            Operator::And => {
                populate_partition_values(partition_values, left);
                populate_partition_values(partition_values, right);
            }
            _ => {}
        }
    }
}

pub fn evaluate_partition_prefix<'a>(
    partition_cols: &'a [(String, DataType)],
    filters: &'a [Expr],
) -> Option<Path> {
    let mut partition_values = HashMap::new();
    for filter in filters {
        populate_partition_values(&mut partition_values, filter);
    }

    if partition_values.is_empty() {
        return None;
    }

    let mut parts = vec![];
    for (p, _) in partition_cols {
        match partition_values.get(p.as_str()) {
            Some(PartitionValue::Single(val)) => {
                // if a partition only has a single literal value, then it can be added to the
                // prefix
                parts.push(format!("{p}={val}"));
            }
            _ => {
                // break on the first unconstrainted partition to create a common prefix
                // for all covered partitions.
                break;
            }
        }
    }

    if parts.is_empty() {
        None
    } else {
        Some(Path::from_iter(parts))
    }
}

fn filter_partitions(
    pf: PartitionedFile,
    filters: &[Expr],
    df_schema: &DFSchema,
) -> Result<Option<PartitionedFile>> {
    if pf.partition_values.is_empty() && !filters.is_empty() {
        return Ok(None);
    } else if filters.is_empty() {
        return Ok(Some(pf));
    }

    let arrays = pf
        .partition_values
        .iter()
        .map(|v| v.to_array())
        .collect::<Result<_, _>>()?;

    let batch = RecordBatch::try_new(Arc::clone(df_schema.inner()), arrays)?;

    let filter = utils::conjunction(filters.iter().cloned()).unwrap_or_else(|| lit(true));
    let props = ExecutionProps::new();
    let expr = create_physical_expr(&filter, df_schema, &props)?;

    // Since we're only operating on a single file, our batch and resulting "array" holds only one
    // value indicating if the input file matches the provided filters
    let matches = expr.evaluate(&batch)?.into_array(1)?;
    if matches.as_boolean().value(0) {
        return Ok(Some(pf));
    }

    Ok(None)
}

fn try_into_partitioned_file(
    object_meta: ObjectMeta,
    partition_cols: &[(String, DataType)],
    table_path: &ListingTableUrl,
) -> Result<PartitionedFile> {
    let cols = partition_cols.iter().map(|(name, _)| name.as_str());
    let parsed = parse_partitions_for_path(table_path, &object_meta.location, cols);

    let partition_values = parsed
        .into_iter()
        .flatten()
        .zip(partition_cols)
        .map(|(parsed, (_, datatype))| {
            ScalarValue::try_from_string(parsed.to_string(), datatype)
        })
        .collect::<Result<Vec<_>>>()?;

    let mut pf: PartitionedFile = object_meta.into();
    pf.partition_values = partition_values;

    Ok(pf)
}

/// Discover the partitions on the given path and prune out files
/// that belong to irrelevant partitions using `filters` expressions.
/// `filters` should only contain expressions that can be evaluated
/// using only the partition columns.
pub async fn pruned_partition_list<'a>(
    ctx: &'a dyn Session,
    store: &'a dyn ObjectStore,
    table_path: &'a ListingTableUrl,
    filters: &'a [Expr],
    file_extension: &'a str,
    partition_cols: &'a [(String, DataType)],
) -> Result<BoxStream<'a, Result<PartitionedFile>>> {
    let prefix = if !partition_cols.is_empty() {
        evaluate_partition_prefix(partition_cols, filters)
    } else {
        None
    };

    let objects = table_path
        .list_prefixed_files(ctx, store, prefix, file_extension)
        .await?
        .try_filter(|object_meta| futures::future::ready(object_meta.size > 0));

    if partition_cols.is_empty() {
        assert_or_internal_err!(
            filters.is_empty(),
            "Got partition filters for unpartitioned table {}",
            table_path
        );

        // if no partition col => simply list all the files
        Ok(objects.map_ok(|object_meta| object_meta.into()).boxed())
    } else {
        let df_schema = DFSchema::from_unqualified_fields(
            partition_cols
                .iter()
                .map(|(n, d)| Field::new(n, d.clone(), true))
                .collect(),
            Default::default(),
        )?;

        Ok(objects
            .map_ok(|object_meta| {
                try_into_partitioned_file(object_meta, partition_cols, table_path)
            })
            .try_filter_map(move |pf| {
                futures::future::ready(
                    pf.and_then(|pf| filter_partitions(pf, filters, &df_schema)),
                )
            })
            .boxed())
    }
}

/// Extract the partition values for the given `file_path` (in the given `table_path`)
/// associated to the partitions defined by `table_partition_cols`
pub fn parse_partitions_for_path<'a, I>(
    table_path: &ListingTableUrl,
    file_path: &'a Path,
    table_partition_cols: I,
) -> Option<Vec<&'a str>>
where
    I: IntoIterator<Item = &'a str>,
{
    let subpath = table_path.strip_prefix(file_path)?;

    let mut part_values = vec![];
    for (part, expected_partition) in subpath.zip(table_partition_cols) {
        match part.split_once('=') {
            Some((name, val)) if name == expected_partition => part_values.push(val),
            _ => {
                debug!(
                    "Ignoring file: file_path='{file_path}', table_path='{table_path}', part='{part}', partition_col='{expected_partition}'",
                );
                return None;
            }
        }
    }
    Some(part_values)
}
/// Describe a partition as a (path, depth, files) tuple for easier assertions
pub fn describe_partition(partition: &Partition) -> (&str, usize, Vec<&str>) {
    (
        partition.path.as_ref(),
        partition.depth,
        partition
            .files
            .as_ref()
            .map(|f| f.iter().map(|f| f.location.filename().unwrap()).collect())
            .unwrap_or_default(),
    )
}

#[cfg(test)]
mod tests {
    use datafusion_datasource::file_groups::FileGroup;
    use std::ops::Not;

    use super::*;
    use datafusion_expr::{Expr, case, col, lit};

    #[test]
    fn test_split_files() {
        let new_partitioned_file = |path: &str| PartitionedFile::new(path.to_owned(), 10);
        let files = FileGroup::new(vec![
            new_partitioned_file("a"),
            new_partitioned_file("b"),
            new_partitioned_file("c"),
            new_partitioned_file("d"),
            new_partitioned_file("e"),
        ]);

        let chunks = files.clone().split_files(1);
        assert_eq!(1, chunks.len());
        assert_eq!(5, chunks[0].len());

        let chunks = files.clone().split_files(2);
        assert_eq!(2, chunks.len());
        assert_eq!(3, chunks[0].len());
        assert_eq!(2, chunks[1].len());

        let chunks = files.clone().split_files(5);
        assert_eq!(5, chunks.len());
        assert_eq!(1, chunks[0].len());
        assert_eq!(1, chunks[1].len());
        assert_eq!(1, chunks[2].len());
        assert_eq!(1, chunks[3].len());
        assert_eq!(1, chunks[4].len());

        let chunks = files.clone().split_files(123);
        assert_eq!(5, chunks.len());
        assert_eq!(1, chunks[0].len());
        assert_eq!(1, chunks[1].len());
        assert_eq!(1, chunks[2].len());
        assert_eq!(1, chunks[3].len());
        assert_eq!(1, chunks[4].len());

        let empty_group = FileGroup::default();
        let chunks = empty_group.split_files(2);
        assert_eq!(0, chunks.len());
    }

    #[test]
    fn test_parse_partitions_for_path() {
        assert_eq!(
            Some(vec![]),
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/file.csv"),
                vec![]
            )
        );
        assert_eq!(
            None,
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/othertable").unwrap(),
                &Path::from("bucket/mytable/file.csv"),
                vec![]
            )
        );
        assert_eq!(
            None,
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/file.csv"),
                vec!["mypartition"]
            )
        );
        assert_eq!(
            Some(vec!["v1"]),
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/mypartition=v1/file.csv"),
                vec!["mypartition"]
            )
        );
        assert_eq!(
            Some(vec!["v1"]),
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable/").unwrap(),
                &Path::from("bucket/mytable/mypartition=v1/file.csv"),
                vec!["mypartition"]
            )
        );
        // Only hive style partitioning supported for now:
        assert_eq!(
            None,
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/v1/file.csv"),
                vec!["mypartition"]
            )
        );
        assert_eq!(
            Some(vec!["v1", "v2"]),
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/mypartition=v1/otherpartition=v2/file.csv"),
                vec!["mypartition", "otherpartition"]
            )
        );
        assert_eq!(
            Some(vec!["v1"]),
            parse_partitions_for_path(
                &ListingTableUrl::parse("file:///bucket/mytable").unwrap(),
                &Path::from("bucket/mytable/mypartition=v1/otherpartition=v2/file.csv"),
                vec!["mypartition"]
            )
        );
    }

    #[test]
    fn test_expr_applicable_for_cols() {
        assert!(expr_applicable_for_cols(
            &["c1"],
            &Expr::eq(col("c1"), lit("value"))
        ));
        assert!(!expr_applicable_for_cols(
            &["c1"],
            &Expr::eq(col("c2"), lit("value"))
        ));
        assert!(!expr_applicable_for_cols(
            &["c1"],
            &Expr::eq(col("c1"), col("c2"))
        ));
        assert!(expr_applicable_for_cols(
            &["c1", "c2"],
            &Expr::eq(col("c1"), col("c2"))
        ));
        assert!(expr_applicable_for_cols(
            &["c1", "c2"],
            &(Expr::eq(col("c1"), col("c2").alias("c2_alias"))).not()
        ));
        assert!(expr_applicable_for_cols(
            &["c1", "c2"],
            &(case(col("c1"))
                .when(lit("v1"), lit(true))
                .otherwise(lit(false))
                .expect("valid case expr"))
        ));
        // static expression not relevant in this context but we
        // test it as an edge case anyway in case we want to generalize
        // this helper function
        assert!(expr_applicable_for_cols(&[], &lit(true)));
    }

    #[test]
    fn test_evaluate_partition_prefix() {
        let partitions = &[
            ("a".to_string(), DataType::Utf8),
            ("b".to_string(), DataType::Int16),
            ("c".to_string(), DataType::Boolean),
        ];

        assert_eq!(
            evaluate_partition_prefix(partitions, &[col("a").eq(lit("foo"))]),
            Some(Path::from("a=foo")),
        );

        assert_eq!(
            evaluate_partition_prefix(partitions, &[lit("foo").eq(col("a"))]),
            Some(Path::from("a=foo")),
        );

        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[col("a").eq(lit("foo")).and(col("b").eq(lit("bar")))],
            ),
            Some(Path::from("a=foo/b=bar")),
        );

        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                // list of filters should be evaluated as AND
                &[col("a").eq(lit("foo")), col("b").eq(lit("bar")),],
            ),
            Some(Path::from("a=foo/b=bar")),
        );

        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[col("a")
                    .eq(lit("foo"))
                    .and(col("b").eq(lit("1")))
                    .and(col("c").eq(lit("true")))],
            ),
            Some(Path::from("a=foo/b=1/c=true")),
        );

        // no prefix when filter is empty
        assert_eq!(evaluate_partition_prefix(partitions, &[]), None);

        // b=foo results in no prefix because a is not restricted
        assert_eq!(
            evaluate_partition_prefix(partitions, &[Expr::eq(col("b"), lit("foo"))]),
            None,
        );

        // a=foo and c=baz only results in preifx a=foo because b is not restricted
        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[col("a").eq(lit("foo")).and(col("c").eq(lit("baz")))],
            ),
            Some(Path::from("a=foo")),
        );

        // partition with multiple values results in no prefix
        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[Expr::and(col("a").eq(lit("foo")), col("a").eq(lit("bar")))],
            ),
            None,
        );

        // no prefix because partition a is not restricted to a single literal
        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[Expr::or(col("a").eq(lit("foo")), col("a").eq(lit("bar")))],
            ),
            None,
        );
        assert_eq!(
            evaluate_partition_prefix(partitions, &[col("b").lt(lit(5))],),
            None,
        );
    }

    #[test]
    fn test_evaluate_date_partition_prefix() {
        let partitions = &[("a".to_string(), DataType::Date32)];
        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[col("a").eq(Expr::Literal(ScalarValue::Date32(Some(3)), None))],
            ),
            Some(Path::from("a=1970-01-04")),
        );

        let partitions = &[("a".to_string(), DataType::Date64)];
        assert_eq!(
            evaluate_partition_prefix(
                partitions,
                &[col("a").eq(Expr::Literal(
                    ScalarValue::Date64(Some(4 * 24 * 60 * 60 * 1000)),
                    None
                )),],
            ),
            Some(Path::from("a=1970-01-05")),
        );
    }
}