1use std::sync::Arc;
19
20use common_macro::range_fn;
21use datafusion::arrow::array::{Float64Array, TimestampMillisecondArray};
22use datafusion::common::DataFusionError;
23use datafusion::logical_expr::{ScalarUDF, Volatility};
24use datafusion::physical_plan::ColumnarValue;
25use datatypes::arrow::array::Array;
26use datatypes::arrow::datatypes::DataType;
27
28use crate::functions::extract_array;
29use crate::range_array::RangeArray;
30
31#[range_fn(name = Changes, ret = Float64Array, display_name = prom_changes)]
33pub fn changes(_: &TimestampMillisecondArray, values: &Float64Array) -> Option<f64> {
34 if values.is_empty() {
35 None
36 } else {
37 let (first, rest) = values.values().split_first().unwrap();
38 let mut num_changes = 0;
39 let mut prev_element = first;
40 for cur_element in rest {
41 if cur_element != prev_element && !(cur_element.is_nan() && prev_element.is_nan()) {
42 num_changes += 1;
43 }
44 prev_element = cur_element;
45 }
46 Some(num_changes as f64)
47 }
48}
49
50#[cfg(test)]
51mod test {
52 use super::*;
53 use crate::functions::test_util::simple_range_udf_runner;
54
55 fn build_test_range_arrays(
57 timestamps: Vec<i64>,
58 values: Vec<f64>,
59 ranges: Vec<(u32, u32)>,
60 ) -> (RangeArray, RangeArray) {
61 let ts_array = Arc::new(TimestampMillisecondArray::from_iter(
62 timestamps.into_iter().map(Some),
63 ));
64 let values_array = Arc::new(Float64Array::from_iter(values));
65
66 let ts_range_array = RangeArray::from_ranges(ts_array, ranges.clone()).unwrap();
67 let value_range_array = RangeArray::from_ranges(values_array, ranges).unwrap();
68
69 (ts_range_array, value_range_array)
70 }
71
72 #[test]
73 fn calculate_changes() {
74 let timestamps = vec![
75 1000i64, 3000, 5000, 7000, 9000, 11000, 13000, 15000, 17000, 200000, 500000,
76 ];
77 let ranges = vec![
78 (0, 1),
79 (0, 4),
80 (0, 6),
81 (0, 10),
82 (0, 0), ];
84
85 let values_1 = vec![1.0, 2.0, 3.0, 0.0, 1.0, 0.0, 0.0, 1.0, 2.0, 0.0];
87 let (ts_array_1, value_array_1) =
88 build_test_range_arrays(timestamps.clone(), values_1, ranges.clone());
89 simple_range_udf_runner(
90 Changes::scalar_udf(),
91 ts_array_1,
92 value_array_1,
93 vec![],
94 vec![Some(0.0), Some(3.0), Some(5.0), Some(8.0), None],
95 );
96
97 let values_2 = vec![1.0, 2.0, 3.0, 4.0, 5.0, 1.0, 2.0, 3.0, 4.0, 5.0];
99 let (ts_array_2, value_array_2) =
100 build_test_range_arrays(timestamps.clone(), values_2, ranges.clone());
101 simple_range_udf_runner(
102 Changes::scalar_udf(),
103 ts_array_2,
104 value_array_2,
105 vec![],
106 vec![Some(0.0), Some(3.0), Some(5.0), Some(9.0), None],
107 );
108
109 let values_3 = vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0];
111 let (ts_array_3, value_array_3) = build_test_range_arrays(timestamps, values_3, ranges);
112 simple_range_udf_runner(
113 Changes::scalar_udf(),
114 ts_array_3,
115 value_array_3,
116 vec![],
117 vec![Some(0.0), Some(0.0), Some(1.0), Some(1.0), None],
118 );
119 }
120}