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
@@ -48,7 +48,7 @@ impl TCO {
args: Box::new(Self::transform(Rc::new((**args).clone()), false)),
}
}
BoundKind::Pipe { inputs, lambda } => {
BoundKind::Pipe { inputs, lambda, out_type } => {
let mut t_inputs = Vec::with_capacity(inputs.len());
for input in inputs {
t_inputs.push(Self::transform(Rc::new(input.clone()), false));
@@ -56,6 +56,7 @@ impl TCO {
BoundKind::Pipe {
inputs: t_inputs,
lambda: Box::new(Self::transform(Rc::new((**lambda).clone()), false)),
out_type: out_type.clone(),
}
}