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
+1 -1
View File
@@ -152,7 +152,7 @@ impl UsageInfo {
BoundKind::Again { args } => {
self.collect(args);
}
BoundKind::Pipe { inputs, lambda } => {
BoundKind::Pipe { inputs, lambda, .. } => {
for input in inputs {
self.collect(input);
}