serde_arrow 0.14.0

Convert sequences of Rust objects to Arrow arrays and back again
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

use marrow::datatypes::{DataType, Field};
use serde_json::json;

use crate::internal::{
    schema::{SchemaLike, SerdeArrowSchema},
    testing::assert_error_contains,
};

#[test]
fn extra_attributes_trailing() {
    let schema = SerdeArrowSchema::from_value(json!({
        "fields": [
            {"name": "foo", "data_type": "F32"},
        ],
        "trailing": null,
    }))
    .unwrap();
    assert_eq!(
        schema.fields,
        vec![Field {
            name: String::from("foo"),
            data_type: DataType::Float32,
            nullable: false,
            metadata: Default::default(),
        }]
    );
}

#[test]
fn extra_attributes_leading() {
    let schema = SerdeArrowSchema::from_value(json!({
        "leading": null,
        "fields": [
            {"name": "foo", "data_type": "F32"},
        ],
    }))
    .unwrap();
    assert_eq!(
        schema.fields,
        vec![Field {
            name: String::from("foo"),
            data_type: DataType::Float32,
            nullable: false,
            metadata: Default::default(),
        }]
    );
}

#[test]
fn invalid_top_level() {
    let err = SerdeArrowSchema::from_value(json!(true)).expect_err("Expected error");
    let err = err.to_string();

    println!("Actual error: {err}");
    assert!(err.contains("expected a sequence of fields or a struct with key"));
}

#[test]
fn list_missing_dat_tpye() {
    let err = SerdeArrowSchema::from_value(json!([
        {"name": "foo"},
    ]))
    .expect_err("Expected error");
    let err = err.to_string();

    println!("Actual error: {err}");
    assert!(err.contains("missing field `data_type"));
}

#[test]
fn struct_missing_fields() {
    let err = SerdeArrowSchema::from_value(json!({})).expect_err("Expected error");
    let err = err.to_string();

    println!("Actual error: {err}");
    assert!(err.contains("missing field `fields`"));
}

#[test]
fn struct_missing_data_type() {
    let err = SerdeArrowSchema::from_value(json!({
        "fields": [{"name": "foo"}]
    }))
    .expect_err("Expected error");
    let err = err.to_string();

    println!("Actual error: {err}");
    assert!(err.contains("missing field `data_type"));
}

#[test]
fn time64_type_invalid_units() {
    // Note: the arrow docs state: that the time unit "[m]ust be either
    // microseconds or nanoseconds."

    assert_error_contains(
        &SerdeArrowSchema::from_value(json!([{
            "name": "item",
            "data_type": "Time64(Millisecond)",
        }]))
        .unwrap_err(),
        "Error: Time64 field must have Microsecond or Nanosecond unit",
    );
    assert_error_contains(
        &SerdeArrowSchema::from_value(json!([{
            "name": "item",
            "data_type": "Time64(Second)",
        }]))
        .unwrap_err(),
        "Error: Time64 field must have Microsecond or Nanosecond unit",
    );

    assert_error_contains(
        &SerdeArrowSchema::from_value(json!([{
            "name": "item",
            "data_type": "Time32(Microsecond)",
        }]))
        .unwrap_err(),
        "Error: Time32 field must have Second or Millisecond unit",
    );
    assert_error_contains(
        &SerdeArrowSchema::from_value(json!([{
            "name": "item",
            "data_type": "Time32(Nanosecond)",
        }]))
        .unwrap_err(),
        "Error: Time32 field must have Second or Millisecond unit",
    );
}