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
// 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.

use std::fmt;

use serde_derive::{Deserialize, Serialize};
use serde_json::{json, Value, Value::String as VString};

use crate::error::{ArrowError, Result};

use super::Field;

/// The set of datatypes that are supported by this implementation of Apache Arrow.
///
/// The Arrow specification on data types includes some more types.
/// See also [`Schema.fbs`](https://github.com/apache/arrow/blob/master/format/Schema.fbs)
/// for Arrow's specification.
///
/// The variants of this enum include primitive fixed size types as well as parametric or
/// nested types.
/// Currently the Rust implementation supports the following  nested types:
///  - `List<T>`
///  - `Struct<T, U, V, ...>`
///
/// Nested types can themselves be nested within other arrays.
/// For more information on these types please see
/// [the physical memory layout of Apache Arrow](https://arrow.apache.org/docs/format/Columnar.html#physical-memory-layout).
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Ord)]
pub enum DataType {
    /// Null type
    Null,
    /// A boolean datatype representing the values `true` and `false`.
    Boolean,
    /// A signed 8-bit integer.
    Int8,
    /// A signed 16-bit integer.
    Int16,
    /// A signed 32-bit integer.
    Int32,
    /// A signed 64-bit integer.
    Int64,
    /// An unsigned 8-bit integer.
    UInt8,
    /// An unsigned 16-bit integer.
    UInt16,
    /// An unsigned 32-bit integer.
    UInt32,
    /// An unsigned 64-bit integer.
    UInt64,
    /// A 16-bit floating point number.
    Float16,
    /// A 32-bit floating point number.
    Float32,
    /// A 64-bit floating point number.
    Float64,
    /// A timestamp with an optional timezone.
    ///
    /// Time is measured as a Unix epoch, counting the seconds from
    /// 00:00:00.000 on 1 January 1970, excluding leap seconds,
    /// as a 64-bit integer.
    ///
    /// The time zone is a string indicating the name of a time zone, one of:
    ///
    /// * As used in the Olson time zone database (the "tz database" or
    ///   "tzdata"), such as "America/New_York"
    /// * An absolute time zone offset of the form +XX:XX or -XX:XX, such as +07:30
    Timestamp(TimeUnit, Option<String>),
    /// A 32-bit date representing the elapsed time since UNIX epoch (1970-01-01)
    /// in days (32 bits).
    Date32,
    /// A 64-bit date representing the elapsed time since UNIX epoch (1970-01-01)
    /// in milliseconds (64 bits). Values are evenly divisible by 86400000.
    Date64,
    /// A 32-bit time representing the elapsed time since midnight in the unit of `TimeUnit`.
    Time32(TimeUnit),
    /// A 64-bit time representing the elapsed time since midnight in the unit of `TimeUnit`.
    Time64(TimeUnit),
    /// Measure of elapsed time in either seconds, milliseconds, microseconds or nanoseconds.
    Duration(TimeUnit),
    /// A "calendar" interval which models types that don't necessarily
    /// have a precise duration without the context of a base timestamp (e.g.
    /// days can differ in length during day light savings time transitions).
    Interval(IntervalUnit),
    /// Opaque binary data of variable length.
    Binary,
    /// Opaque binary data of fixed size.
    /// Enum parameter specifies the number of bytes per value.
    FixedSizeBinary(i32),
    /// Opaque binary data of variable length and 64-bit offsets.
    LargeBinary,
    /// A variable-length string in Unicode with UTF-8 encoding.
    Utf8,
    /// A variable-length string in Unicode with UFT-8 encoding and 64-bit offsets.
    LargeUtf8,
    /// A list of some logical data type with variable length.
    List(Box<Field>),
    /// A list of some logical data type with fixed length.
    FixedSizeList(Box<Field>, i32),
    /// A list of some logical data type with variable length and 64-bit offsets.
    LargeList(Box<Field>),
    /// A nested datatype that contains a number of sub-fields.
    Struct(Vec<Field>),
    /// A nested datatype that can represent slots of differing types. Components:
    ///
    /// 1. [`Field`] for each possible child type the Union can hold
    /// 2. The corresponding `type_id` used to identify which Field
    /// 3. The type of union (Sparse or Dense)
    Union(Vec<Field>, Vec<i8>, UnionMode),
    /// A dictionary encoded array (`key_type`, `value_type`), where
    /// each array element is an index of `key_type` into an
    /// associated dictionary of `value_type`.
    ///
    /// Dictionary arrays are used to store columns of `value_type`
    /// that contain many repeated values using less memory, but with
    /// a higher CPU overhead for some operations.
    ///
    /// This type mostly used to represent low cardinality string
    /// arrays or a limited set of primitive types as integers.
    Dictionary(Box<DataType>, Box<DataType>),
    /// Exact decimal value with precision and scale
    ///
    /// * precision is the total number of digits
    /// * scale is the number of digits past the decimal
    ///
    /// For example the number 123.45 has precision 5 and scale 2.
    Decimal(usize, usize),
    /// A Map is a logical nested type that is represented as
    ///
    /// `List<entries: Struct<key: K, value: V>>`
    ///
    /// The keys and values are each respectively contiguous.
    /// The key and value types are not constrained, but keys should be
    /// hashable and unique.
    /// Whether the keys are sorted can be set in the `bool` after the `Field`.
    ///
    /// In a field with Map type, the field has a child Struct field, which then
    /// has two children: key type and the second the value type. The names of the
    /// child fields may be respectively "entries", "key", and "value", but this is
    /// not enforced.
    Map(Box<Field>, bool),
}

/// An absolute length of time in seconds, milliseconds, microseconds or nanoseconds.
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Ord)]
pub enum TimeUnit {
    /// Time in seconds.
    Second,
    /// Time in milliseconds.
    Millisecond,
    /// Time in microseconds.
    Microsecond,
    /// Time in nanoseconds.
    Nanosecond,
}

/// YEAR_MONTH, DAY_TIME, MONTH_DAY_NANO interval in SQL style.
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Ord)]
pub enum IntervalUnit {
    /// Indicates the number of elapsed whole months, stored as 4-byte integers.
    YearMonth,
    /// Indicates the number of elapsed days and milliseconds,
    /// stored as 2 contiguous 32-bit integers (days, milliseconds) (8-bytes in total).
    DayTime,
    /// A triple of the number of elapsed months, days, and nanoseconds.
    /// The values are stored contiguously in 16 byte blocks. Months and
    /// days are encoded as 32 bit integers and nanoseconds is encoded as a
    /// 64 bit integer. All integers are signed. Each field is independent
    /// (e.g. there is no constraint that nanoseconds have the same sign
    /// as days or that the quantity of nanoseconds represents less
    /// than a day's worth of time).
    MonthDayNano,
}

// Sparse or Dense union layouts
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Ord)]
pub enum UnionMode {
    Sparse,
    Dense,
}

impl fmt::Display for DataType {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        write!(f, "{:?}", self)
    }
}

/// `MAX_DECIMAL_FOR_EACH_PRECISION[p]` holds the maximum `i128` value
/// that can be stored in [DataType::Decimal] value of precision `p`
pub const MAX_DECIMAL_FOR_EACH_PRECISION: [i128; 38] = [
    9,
    99,
    999,
    9999,
    99999,
    999999,
    9999999,
    99999999,
    999999999,
    9999999999,
    99999999999,
    999999999999,
    9999999999999,
    99999999999999,
    999999999999999,
    9999999999999999,
    99999999999999999,
    999999999999999999,
    9999999999999999999,
    99999999999999999999,
    999999999999999999999,
    9999999999999999999999,
    99999999999999999999999,
    999999999999999999999999,
    9999999999999999999999999,
    99999999999999999999999999,
    999999999999999999999999999,
    9999999999999999999999999999,
    99999999999999999999999999999,
    999999999999999999999999999999,
    9999999999999999999999999999999,
    99999999999999999999999999999999,
    999999999999999999999999999999999,
    9999999999999999999999999999999999,
    99999999999999999999999999999999999,
    999999999999999999999999999999999999,
    9999999999999999999999999999999999999,
    99999999999999999999999999999999999999,
];

/// `MIN_DECIMAL_FOR_EACH_PRECISION[p]` holds the minimum `i128` value
/// that can be stored in a [DataType::Decimal] value of precision `p`
pub const MIN_DECIMAL_FOR_EACH_PRECISION: [i128; 38] = [
    -9,
    -99,
    -999,
    -9999,
    -99999,
    -999999,
    -9999999,
    -99999999,
    -999999999,
    -9999999999,
    -99999999999,
    -999999999999,
    -9999999999999,
    -99999999999999,
    -999999999999999,
    -9999999999999999,
    -99999999999999999,
    -999999999999999999,
    -9999999999999999999,
    -99999999999999999999,
    -999999999999999999999,
    -9999999999999999999999,
    -99999999999999999999999,
    -999999999999999999999999,
    -9999999999999999999999999,
    -99999999999999999999999999,
    -999999999999999999999999999,
    -9999999999999999999999999999,
    -99999999999999999999999999999,
    -999999999999999999999999999999,
    -9999999999999999999999999999999,
    -99999999999999999999999999999999,
    -999999999999999999999999999999999,
    -9999999999999999999999999999999999,
    -99999999999999999999999999999999999,
    -999999999999999999999999999999999999,
    -9999999999999999999999999999999999999,
    -99999999999999999999999999999999999999,
];

/// The maximum precision for [DataType::Decimal] values
pub const DECIMAL_MAX_PRECISION: usize = 38;

/// The maximum scale for [DataType::Decimal] values
pub const DECIMAL_MAX_SCALE: usize = 38;

/// The default scale for [DataType::Decimal] values
pub const DECIMAL_DEFAULT_SCALE: usize = 10;

/// Validates that the specified `i128` value can be properly
/// interpreted as a Decimal number with precision `precision`
#[inline]
pub(crate) fn validate_decimal_precision(value: i128, precision: usize) -> Result<i128> {
    let max = MAX_DECIMAL_FOR_EACH_PRECISION[precision - 1];
    let min = MIN_DECIMAL_FOR_EACH_PRECISION[precision - 1];

    if value > max {
        Err(ArrowError::InvalidArgumentError(format!(
            "{} is too large to store in a Decimal of precision {}. Max is {}",
            value, precision, max
        )))
    } else if value < min {
        Err(ArrowError::InvalidArgumentError(format!(
            "{} is too small to store in a Decimal of precision {}. Min is {}",
            value, precision, min
        )))
    } else {
        Ok(value)
    }
}

impl DataType {
    /// Parse a data type from a JSON representation.
    pub(crate) fn from(json: &Value) -> Result<DataType> {
        let default_field = Field::new("", DataType::Boolean, true);
        match *json {
            Value::Object(ref map) => match map.get("name") {
                Some(s) if s == "null" => Ok(DataType::Null),
                Some(s) if s == "bool" => Ok(DataType::Boolean),
                Some(s) if s == "binary" => Ok(DataType::Binary),
                Some(s) if s == "largebinary" => Ok(DataType::LargeBinary),
                Some(s) if s == "utf8" => Ok(DataType::Utf8),
                Some(s) if s == "largeutf8" => Ok(DataType::LargeUtf8),
                Some(s) if s == "fixedsizebinary" => {
                    // return a list with any type as its child isn't defined in the map
                    if let Some(Value::Number(size)) = map.get("byteWidth") {
                        Ok(DataType::FixedSizeBinary(size.as_i64().unwrap() as i32))
                    } else {
                        Err(ArrowError::ParseError(
                            "Expecting a byteWidth for fixedsizebinary".to_string(),
                        ))
                    }
                }
                Some(s) if s == "decimal" => {
                    // return a list with any type as its child isn't defined in the map
                    let precision = match map.get("precision") {
                        Some(p) => Ok(p.as_u64().unwrap() as usize),
                        None => Err(ArrowError::ParseError(
                            "Expecting a precision for decimal".to_string(),
                        )),
                    };
                    let scale = match map.get("scale") {
                        Some(s) => Ok(s.as_u64().unwrap() as usize),
                        _ => Err(ArrowError::ParseError(
                            "Expecting a scale for decimal".to_string(),
                        )),
                    };

                    Ok(DataType::Decimal(precision?, scale?))
                }
                Some(s) if s == "floatingpoint" => match map.get("precision") {
                    Some(p) if p == "HALF" => Ok(DataType::Float16),
                    Some(p) if p == "SINGLE" => Ok(DataType::Float32),
                    Some(p) if p == "DOUBLE" => Ok(DataType::Float64),
                    _ => Err(ArrowError::ParseError(
                        "floatingpoint precision missing or invalid".to_string(),
                    )),
                },
                Some(s) if s == "timestamp" => {
                    let unit = match map.get("unit") {
                        Some(p) if p == "SECOND" => Ok(TimeUnit::Second),
                        Some(p) if p == "MILLISECOND" => Ok(TimeUnit::Millisecond),
                        Some(p) if p == "MICROSECOND" => Ok(TimeUnit::Microsecond),
                        Some(p) if p == "NANOSECOND" => Ok(TimeUnit::Nanosecond),
                        _ => Err(ArrowError::ParseError(
                            "timestamp unit missing or invalid".to_string(),
                        )),
                    };
                    let tz = match map.get("timezone") {
                        None => Ok(None),
                        Some(VString(tz)) => Ok(Some(tz.clone())),
                        _ => Err(ArrowError::ParseError(
                            "timezone must be a string".to_string(),
                        )),
                    };
                    Ok(DataType::Timestamp(unit?, tz?))
                }
                Some(s) if s == "date" => match map.get("unit") {
                    Some(p) if p == "DAY" => Ok(DataType::Date32),
                    Some(p) if p == "MILLISECOND" => Ok(DataType::Date64),
                    _ => Err(ArrowError::ParseError(
                        "date unit missing or invalid".to_string(),
                    )),
                },
                Some(s) if s == "time" => {
                    let unit = match map.get("unit") {
                        Some(p) if p == "SECOND" => Ok(TimeUnit::Second),
                        Some(p) if p == "MILLISECOND" => Ok(TimeUnit::Millisecond),
                        Some(p) if p == "MICROSECOND" => Ok(TimeUnit::Microsecond),
                        Some(p) if p == "NANOSECOND" => Ok(TimeUnit::Nanosecond),
                        _ => Err(ArrowError::ParseError(
                            "time unit missing or invalid".to_string(),
                        )),
                    };
                    match map.get("bitWidth") {
                        Some(p) if p == 32 => Ok(DataType::Time32(unit?)),
                        Some(p) if p == 64 => Ok(DataType::Time64(unit?)),
                        _ => Err(ArrowError::ParseError(
                            "time bitWidth missing or invalid".to_string(),
                        )),
                    }
                }
                Some(s) if s == "duration" => match map.get("unit") {
                    Some(p) if p == "SECOND" => Ok(DataType::Duration(TimeUnit::Second)),
                    Some(p) if p == "MILLISECOND" => {
                        Ok(DataType::Duration(TimeUnit::Millisecond))
                    }
                    Some(p) if p == "MICROSECOND" => {
                        Ok(DataType::Duration(TimeUnit::Microsecond))
                    }
                    Some(p) if p == "NANOSECOND" => {
                        Ok(DataType::Duration(TimeUnit::Nanosecond))
                    }
                    _ => Err(ArrowError::ParseError(
                        "time unit missing or invalid".to_string(),
                    )),
                },
                Some(s) if s == "interval" => match map.get("unit") {
                    Some(p) if p == "DAY_TIME" => {
                        Ok(DataType::Interval(IntervalUnit::DayTime))
                    }
                    Some(p) if p == "YEAR_MONTH" => {
                        Ok(DataType::Interval(IntervalUnit::YearMonth))
                    }
                    Some(p) if p == "MONTH_DAY_NANO" => {
                        Ok(DataType::Interval(IntervalUnit::MonthDayNano))
                    }
                    _ => Err(ArrowError::ParseError(
                        "interval unit missing or invalid".to_string(),
                    )),
                },
                Some(s) if s == "int" => match map.get("isSigned") {
                    Some(&Value::Bool(true)) => match map.get("bitWidth") {
                        Some(&Value::Number(ref n)) => match n.as_u64() {
                            Some(8) => Ok(DataType::Int8),
                            Some(16) => Ok(DataType::Int16),
                            Some(32) => Ok(DataType::Int32),
                            Some(64) => Ok(DataType::Int64),
                            _ => Err(ArrowError::ParseError(
                                "int bitWidth missing or invalid".to_string(),
                            )),
                        },
                        _ => Err(ArrowError::ParseError(
                            "int bitWidth missing or invalid".to_string(),
                        )),
                    },
                    Some(&Value::Bool(false)) => match map.get("bitWidth") {
                        Some(&Value::Number(ref n)) => match n.as_u64() {
                            Some(8) => Ok(DataType::UInt8),
                            Some(16) => Ok(DataType::UInt16),
                            Some(32) => Ok(DataType::UInt32),
                            Some(64) => Ok(DataType::UInt64),
                            _ => Err(ArrowError::ParseError(
                                "int bitWidth missing or invalid".to_string(),
                            )),
                        },
                        _ => Err(ArrowError::ParseError(
                            "int bitWidth missing or invalid".to_string(),
                        )),
                    },
                    _ => Err(ArrowError::ParseError(
                        "int signed missing or invalid".to_string(),
                    )),
                },
                Some(s) if s == "list" => {
                    // return a list with any type as its child isn't defined in the map
                    Ok(DataType::List(Box::new(default_field)))
                }
                Some(s) if s == "largelist" => {
                    // return a largelist with any type as its child isn't defined in the map
                    Ok(DataType::LargeList(Box::new(default_field)))
                }
                Some(s) if s == "fixedsizelist" => {
                    // return a list with any type as its child isn't defined in the map
                    if let Some(Value::Number(size)) = map.get("listSize") {
                        Ok(DataType::FixedSizeList(
                            Box::new(default_field),
                            size.as_i64().unwrap() as i32,
                        ))
                    } else {
                        Err(ArrowError::ParseError(
                            "Expecting a listSize for fixedsizelist".to_string(),
                        ))
                    }
                }
                Some(s) if s == "struct" => {
                    // return an empty `struct` type as its children aren't defined in the map
                    Ok(DataType::Struct(vec![]))
                }
                Some(s) if s == "map" => {
                    if let Some(Value::Bool(keys_sorted)) = map.get("keysSorted") {
                        // Return a map with an empty type as its children aren't defined in the map
                        Ok(DataType::Map(Box::new(default_field), *keys_sorted))
                    } else {
                        Err(ArrowError::ParseError(
                            "Expecting a keysSorted for map".to_string(),
                        ))
                    }
                }
                Some(s) if s == "union" => {
                    if let Some(Value::String(mode)) = map.get("mode") {
                        let union_mode = if mode == "SPARSE" {
                            UnionMode::Sparse
                        } else if mode == "DENSE" {
                            UnionMode::Dense
                        } else {
                            return Err(ArrowError::ParseError(format!(
                                "Unknown union mode {:?} for union",
                                mode
                            )));
                        };
                        if let Some(type_ids) = map.get("typeIds") {
                            let type_ids = type_ids
                                .as_array()
                                .unwrap()
                                .iter()
                                .map(|t| t.as_i64().unwrap() as i8)
                                .collect::<Vec<_>>();

                            let default_fields = type_ids
                                .iter()
                                .map(|_| default_field.clone())
                                .collect::<Vec<_>>();

                            Ok(DataType::Union(default_fields, type_ids, union_mode))
                        } else {
                            Err(ArrowError::ParseError(
                                "Expecting a typeIds for union ".to_string(),
                            ))
                        }
                    } else {
                        Err(ArrowError::ParseError(
                            "Expecting a mode for union".to_string(),
                        ))
                    }
                }
                Some(other) => Err(ArrowError::ParseError(format!(
                    "invalid or unsupported type name: {} in {:?}",
                    other, json
                ))),
                None => Err(ArrowError::ParseError("type name missing".to_string())),
            },
            _ => Err(ArrowError::ParseError(
                "invalid json value type".to_string(),
            )),
        }
    }

    /// Generate a JSON representation of the data type.
    pub fn to_json(&self) -> Value {
        match self {
            DataType::Null => json!({"name": "null"}),
            DataType::Boolean => json!({"name": "bool"}),
            DataType::Int8 => json!({"name": "int", "bitWidth": 8, "isSigned": true}),
            DataType::Int16 => json!({"name": "int", "bitWidth": 16, "isSigned": true}),
            DataType::Int32 => json!({"name": "int", "bitWidth": 32, "isSigned": true}),
            DataType::Int64 => json!({"name": "int", "bitWidth": 64, "isSigned": true}),
            DataType::UInt8 => json!({"name": "int", "bitWidth": 8, "isSigned": false}),
            DataType::UInt16 => json!({"name": "int", "bitWidth": 16, "isSigned": false}),
            DataType::UInt32 => json!({"name": "int", "bitWidth": 32, "isSigned": false}),
            DataType::UInt64 => json!({"name": "int", "bitWidth": 64, "isSigned": false}),
            DataType::Float16 => json!({"name": "floatingpoint", "precision": "HALF"}),
            DataType::Float32 => json!({"name": "floatingpoint", "precision": "SINGLE"}),
            DataType::Float64 => json!({"name": "floatingpoint", "precision": "DOUBLE"}),
            DataType::Utf8 => json!({"name": "utf8"}),
            DataType::LargeUtf8 => json!({"name": "largeutf8"}),
            DataType::Binary => json!({"name": "binary"}),
            DataType::LargeBinary => json!({"name": "largebinary"}),
            DataType::FixedSizeBinary(byte_width) => {
                json!({"name": "fixedsizebinary", "byteWidth": byte_width})
            }
            DataType::Struct(_) => json!({"name": "struct"}),
            DataType::Union(_, _, _) => json!({"name": "union"}),
            DataType::List(_) => json!({ "name": "list"}),
            DataType::LargeList(_) => json!({ "name": "largelist"}),
            DataType::FixedSizeList(_, length) => {
                json!({"name":"fixedsizelist", "listSize": length})
            }
            DataType::Time32(unit) => {
                json!({"name": "time", "bitWidth": 32, "unit": match unit {
                    TimeUnit::Second => "SECOND",
                    TimeUnit::Millisecond => "MILLISECOND",
                    TimeUnit::Microsecond => "MICROSECOND",
                    TimeUnit::Nanosecond => "NANOSECOND",
                }})
            }
            DataType::Time64(unit) => {
                json!({"name": "time", "bitWidth": 64, "unit": match unit {
                    TimeUnit::Second => "SECOND",
                    TimeUnit::Millisecond => "MILLISECOND",
                    TimeUnit::Microsecond => "MICROSECOND",
                    TimeUnit::Nanosecond => "NANOSECOND",
                }})
            }
            DataType::Date32 => {
                json!({"name": "date", "unit": "DAY"})
            }
            DataType::Date64 => {
                json!({"name": "date", "unit": "MILLISECOND"})
            }
            DataType::Timestamp(unit, None) => {
                json!({"name": "timestamp", "unit": match unit {
                    TimeUnit::Second => "SECOND",
                    TimeUnit::Millisecond => "MILLISECOND",
                    TimeUnit::Microsecond => "MICROSECOND",
                    TimeUnit::Nanosecond => "NANOSECOND",
                }})
            }
            DataType::Timestamp(unit, Some(tz)) => {
                json!({"name": "timestamp", "unit": match unit {
                    TimeUnit::Second => "SECOND",
                    TimeUnit::Millisecond => "MILLISECOND",
                    TimeUnit::Microsecond => "MICROSECOND",
                    TimeUnit::Nanosecond => "NANOSECOND",
                }, "timezone": tz})
            }
            DataType::Interval(unit) => json!({"name": "interval", "unit": match unit {
                IntervalUnit::YearMonth => "YEAR_MONTH",
                IntervalUnit::DayTime => "DAY_TIME",
                IntervalUnit::MonthDayNano => "MONTH_DAY_NANO",
            }}),
            DataType::Duration(unit) => json!({"name": "duration", "unit": match unit {
                TimeUnit::Second => "SECOND",
                TimeUnit::Millisecond => "MILLISECOND",
                TimeUnit::Microsecond => "MICROSECOND",
                TimeUnit::Nanosecond => "NANOSECOND",
            }}),
            DataType::Dictionary(_, _) => json!({ "name": "dictionary"}),
            DataType::Decimal(precision, scale) => {
                json!({"name": "decimal", "precision": precision, "scale": scale})
            }
            DataType::Map(_, keys_sorted) => {
                json!({"name": "map", "keysSorted": keys_sorted})
            }
        }
    }

    /// Returns true if this type is numeric: (UInt*, Unit*, or Float*).
    pub fn is_numeric(t: &DataType) -> bool {
        use DataType::*;
        matches!(
            t,
            UInt8
                | UInt16
                | UInt32
                | UInt64
                | Int8
                | Int16
                | Int32
                | Int64
                | Float32
                | Float64
        )
    }

    /// Returns true if this type is valid as a dictionary key
    /// (e.g. [`super::ArrowDictionaryKeyType`]
    pub fn is_dictionary_key_type(t: &DataType) -> bool {
        use DataType::*;
        matches!(
            t,
            UInt8 | UInt16 | UInt32 | UInt64 | Int8 | Int16 | Int32 | Int64
        )
    }

    /// Compares the datatype with another, ignoring nested field names
    /// and metadata.
    pub fn equals_datatype(&self, other: &DataType) -> bool {
        match (&self, other) {
            (DataType::List(a), DataType::List(b))
            | (DataType::LargeList(a), DataType::LargeList(b)) => {
                a.is_nullable() == b.is_nullable()
                    && a.data_type().equals_datatype(b.data_type())
            }
            (DataType::FixedSizeList(a, a_size), DataType::FixedSizeList(b, b_size)) => {
                a_size == b_size
                    && a.is_nullable() == b.is_nullable()
                    && a.data_type().equals_datatype(b.data_type())
            }
            (DataType::Struct(a), DataType::Struct(b)) => {
                a.len() == b.len()
                    && a.iter().zip(b).all(|(a, b)| {
                        a.is_nullable() == b.is_nullable()
                            && a.data_type().equals_datatype(b.data_type())
                    })
            }
            (
                DataType::Map(a_field, a_is_sorted),
                DataType::Map(b_field, b_is_sorted),
            ) => a_field == b_field && a_is_sorted == b_is_sorted,
            _ => self == other,
        }
    }
}