feat: Specialize pipeline types for performance

Introduces type specialization for reactive pipeline nodes and their
data buffers. This eliminates the overhead of generic `Value` enums and
`SharedValueSeries` when dealing with known scalar or record types.

The architecture shifts buffer instantiation from the VM to the runtime
(RTL), leveraging type information from the AST. A new `out_type` field
is added to `BoundKind::Pipe` to store the static type of the pipeline's
output, determined by the type checker.

This enables the creation of specialized `RingBuffer<T>` and
`SharedRecordSeries` (for Struct-of-Arrays layout) when the output type
is known, significantly improving memory usage and processing speed for
time-series data, especially in financial analysis.
This commit is contained in:
Michael Schimmel
2026-03-02 22:03:24 +01:00
parent a4af142719
commit f7cb6655af
14 changed files with 295 additions and 58 deletions
+2 -1
View File
@@ -237,7 +237,7 @@ impl<'a> Analyzer<'a> {
Purity::Impure,
)
}
BoundKind::Pipe { inputs, lambda } => {
BoundKind::Pipe { inputs, lambda, out_type } => {
let mut analyzed_inputs = Vec::with_capacity(inputs.len());
for input in inputs {
analyzed_inputs.push(self.visit(Rc::new(input.clone())));
@@ -247,6 +247,7 @@ impl<'a> Analyzer<'a> {
BoundKind::Pipe {
inputs: analyzed_inputs,
lambda: a_lambda,
out_type: out_type.clone(),
},
Purity::Impure,
)