akar_processor/physical/write_ops/
unwind.rs1use crate::physical::common::store_value_in_vector;
3use crate::physical::types::{OperatorResult, PhysicalOperatorExec};
4use akar_common::types::{PhysicalTypeID, Value};
5use akar_common::vector::{DataChunk, ValueVector};
6
7pub struct PhysicalUnwind {
11 pub expression: akar_parser::ast::Expression,
12 pub variable: String,
13}
14
15impl PhysicalOperatorExec for PhysicalUnwind {
16 fn operator_type(&self) -> &str {
17 "unwind"
18 }
19
20 fn execute(&self, input: Vec<DataChunk>) -> OperatorResult {
21 let list_val = evaluate_unwind_expr(&self.expression);
23 let items = match &list_val {
24 akar_common::types::Value::List(items) => items.clone(),
25 _ => return Err("UNWIND expression must evaluate to a list".into()),
26 };
27
28 if items.is_empty() {
29 return Ok(Vec::new());
30 }
31
32 let first_type = items
34 .first()
35 .map(|v| v.physical_type())
36 .unwrap_or(PhysicalTypeID::Int64);
37
38 let mut result_chunks = Vec::new();
39 if let Some(chunk) = input.first() {
41 for row in 0..chunk.size {
42 let mut chunk_fields = Vec::new();
43 for (col_idx, _field) in chunk.fields.iter().enumerate() {
44 let val = chunk.get_value(col_idx, row).unwrap_or(Value::Null);
45 let mut v = ValueVector::new(chunk.field_types[col_idx], items.len());
46 v.resize(items.len());
47 for i in 0..items.len() {
48 store_value_in_vector(&mut v, i, &val)?;
49 }
50 chunk_fields.push(v);
51 }
52 let mut uw_v = ValueVector::new(first_type, items.len());
54 uw_v.resize(items.len());
55 for (i, item) in items.iter().enumerate() {
56 store_value_in_vector(&mut uw_v, i, item)?;
57 }
58 chunk_fields.push(uw_v);
59 let arrow_fields = chunk_fields
60 .iter()
61 .map(|v| akar_common::arrow_vector::ArrowVector::from_legacy(v).array)
62 .collect::<Vec<_>>();
63 let arrow_field_types = chunk_fields.iter().map(|v| v.physical_type()).collect::<Vec<_>>();
64 result_chunks.push(DataChunk::new(arrow_fields, arrow_field_types));
65 }
66 } else {
67 let mut uw_v = ValueVector::new(first_type, items.len());
69 uw_v.resize(items.len());
70 for (i, item) in items.iter().enumerate() {
71 store_value_in_vector(&mut uw_v, i, item)?;
72 }
73 let arr = akar_common::arrow_vector::ArrowVector::from_legacy(&uw_v).array;
74 result_chunks.push(DataChunk::new(vec![arr], vec![uw_v.physical_type()]));
75 }
76
77 Ok(result_chunks)
78 }
79}
80
81fn evaluate_unwind_expr(expr: &akar_parser::ast::Expression) -> Value {
83 match expr {
84 akar_parser::ast::Expression::List(items) => {
85 let values: Vec<Value> = items.iter().map(expr_to_value).collect();
86 Value::List(values)
87 }
88 _ => Value::List(Vec::new()),
89 }
90}
91
92fn expr_to_value(expr: &akar_parser::ast::Expression) -> Value {
94 match expr {
95 akar_parser::ast::Expression::Constant(c) => match c {
96 akar_parser::ast::Constant::Null => Value::Null,
97 akar_parser::ast::Constant::Bool(b) => Value::Bool(*b),
98 akar_parser::ast::Constant::Integer(i) => Value::Int64(*i),
99 akar_parser::ast::Constant::Float(f) => Value::Double(*f),
100 akar_parser::ast::Constant::String(s) => Value::String(s.clone()),
101 },
102 _ => Value::Null,
103 }
104}