|
| 1 | +use std::collections::hash_map::Entry; |
| 2 | +use std::collections::HashMap; |
| 3 | +use std::sync::Arc; |
| 4 | + |
| 5 | +use arrow_array::{ArrayRef, Float32Array, Float64Array, RecordBatch, StructArray}; |
| 6 | +use arrow_schema::DataType; |
| 7 | + |
| 8 | +use crate::arrow::ArrowArrayAccessor; |
| 9 | +use crate::spec::{ |
| 10 | + visit_struct_with_partner, ListType, MapType, NestedFieldRef, PrimitiveType, Schema, SchemaRef, |
| 11 | + SchemaWithPartnerVisitor, StructType, |
| 12 | +}; |
| 13 | +use crate::Result; |
| 14 | + |
| 15 | +macro_rules! cast_and_update_cnt_map { |
| 16 | + ($t:ty, $col:ident, $self:ident, $field_id:ident) => { |
| 17 | + let nan_val_cnt = $col |
| 18 | + .as_any() |
| 19 | + .downcast_ref::<$t>() |
| 20 | + .unwrap() |
| 21 | + .iter() |
| 22 | + .filter(|value| value.map_or(false, |v| v.is_nan())) |
| 23 | + .count() as u64; |
| 24 | + |
| 25 | + match $self.nan_value_counts.entry($field_id) { |
| 26 | + Entry::Occupied(mut ele) => { |
| 27 | + let total_nan_val_cnt = ele.get() + nan_val_cnt; |
| 28 | + ele.insert(total_nan_val_cnt); |
| 29 | + } |
| 30 | + Entry::Vacant(v) => { |
| 31 | + v.insert(nan_val_cnt); |
| 32 | + } |
| 33 | + }; |
| 34 | + }; |
| 35 | +} |
| 36 | + |
| 37 | +macro_rules! count_float_nans { |
| 38 | + ($col:ident, $self:ident, $field_id:ident) => { |
| 39 | + match $col.data_type() { |
| 40 | + DataType::Float32 => { |
| 41 | + cast_and_update_cnt_map!(Float32Array, $col, $self, $field_id); |
| 42 | + } |
| 43 | + DataType::Float64 => { |
| 44 | + cast_and_update_cnt_map!(Float64Array, $col, $self, $field_id); |
| 45 | + } |
| 46 | + _ => {} |
| 47 | + } |
| 48 | + }; |
| 49 | +} |
| 50 | + |
| 51 | +/// Visitor which counts and keeps track of NaN value counts in given record batch(s) |
| 52 | +pub struct NanValueCountVisitor { |
| 53 | + /// Stores field ID to NaN value count mapping |
| 54 | + pub nan_value_counts: HashMap<i32, u64>, |
| 55 | +} |
| 56 | + |
| 57 | +impl SchemaWithPartnerVisitor<ArrayRef> for NanValueCountVisitor { |
| 58 | + type T = (); |
| 59 | + |
| 60 | + fn schema( |
| 61 | + &mut self, |
| 62 | + _schema: &Schema, |
| 63 | + _partner: &ArrayRef, |
| 64 | + _value: Self::T, |
| 65 | + ) -> Result<Self::T> { |
| 66 | + Ok(()) |
| 67 | + } |
| 68 | + |
| 69 | + fn field( |
| 70 | + &mut self, |
| 71 | + _field: &NestedFieldRef, |
| 72 | + _partner: &ArrayRef, |
| 73 | + _value: Self::T, |
| 74 | + ) -> Result<Self::T> { |
| 75 | + Ok(()) |
| 76 | + } |
| 77 | + |
| 78 | + fn r#struct( |
| 79 | + &mut self, |
| 80 | + _struct: &StructType, |
| 81 | + _partner: &ArrayRef, |
| 82 | + _results: Vec<Self::T>, |
| 83 | + ) -> Result<Self::T> { |
| 84 | + Ok(()) |
| 85 | + } |
| 86 | + |
| 87 | + fn list(&mut self, _list: &ListType, _list_arr: &ArrayRef, _value: Self::T) -> Result<Self::T> { |
| 88 | + Ok(()) |
| 89 | + } |
| 90 | + |
| 91 | + fn map( |
| 92 | + &mut self, |
| 93 | + _map: &MapType, |
| 94 | + _partner: &ArrayRef, |
| 95 | + _key_value: Self::T, |
| 96 | + _value: Self::T, |
| 97 | + ) -> Result<Self::T> { |
| 98 | + Ok(()) |
| 99 | + } |
| 100 | + |
| 101 | + fn primitive(&mut self, _p: &PrimitiveType, _col: &ArrayRef) -> Result<Self::T> { |
| 102 | + Ok(()) |
| 103 | + } |
| 104 | + |
| 105 | + fn after_struct_field(&mut self, field: &NestedFieldRef, partner: &ArrayRef) -> Result<()> { |
| 106 | + let field_id = field.id; |
| 107 | + count_float_nans!(partner, self, field_id); |
| 108 | + Ok(()) |
| 109 | + } |
| 110 | + |
| 111 | + fn after_list_element(&mut self, field: &NestedFieldRef, partner: &ArrayRef) -> Result<()> { |
| 112 | + let field_id = field.id; |
| 113 | + count_float_nans!(partner, self, field_id); |
| 114 | + Ok(()) |
| 115 | + } |
| 116 | + |
| 117 | + fn after_map_key(&mut self, field: &NestedFieldRef, partner: &ArrayRef) -> Result<()> { |
| 118 | + let field_id = field.id; |
| 119 | + count_float_nans!(partner, self, field_id); |
| 120 | + Ok(()) |
| 121 | + } |
| 122 | + |
| 123 | + fn after_map_value(&mut self, field: &NestedFieldRef, partner: &ArrayRef) -> Result<()> { |
| 124 | + let field_id = field.id; |
| 125 | + count_float_nans!(partner, self, field_id); |
| 126 | + Ok(()) |
| 127 | + } |
| 128 | +} |
| 129 | + |
| 130 | +impl NanValueCountVisitor { |
| 131 | + /// Creates new instance of NanValueCountVisitor |
| 132 | + pub fn new() -> Self { |
| 133 | + Self { |
| 134 | + nan_value_counts: HashMap::new(), |
| 135 | + } |
| 136 | + } |
| 137 | + |
| 138 | + /// Compute nan value counts in given schema and record batch |
| 139 | + pub fn compute(&mut self, schema: SchemaRef, batch: RecordBatch) -> Result<()> { |
| 140 | + let arrow_arr_partner_accessor = ArrowArrayAccessor {}; |
| 141 | + |
| 142 | + let struct_arr = Arc::new(StructArray::from(batch)) as ArrayRef; |
| 143 | + visit_struct_with_partner( |
| 144 | + schema.as_struct(), |
| 145 | + &struct_arr, |
| 146 | + self, |
| 147 | + &arrow_arr_partner_accessor, |
| 148 | + )?; |
| 149 | + |
| 150 | + Ok(()) |
| 151 | + } |
| 152 | +} |
| 153 | + |
| 154 | +impl Default for NanValueCountVisitor { |
| 155 | + fn default() -> Self { |
| 156 | + Self::new() |
| 157 | + } |
| 158 | +} |
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