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This is an attempt to implement a new `Value::LazyRecord` variant for performance reasons. `LazyRecord` is like a regular `Record`, but it's possible to access individual columns without evaluating other columns. I've implemented `LazyRecord` for the special `$nu` variable; accessing `$nu` is relatively slow because of all the information in `scope`, and [`$nu` accounts for about 2/3 of Nu's startup time on Linux](https://github.com/nushell/nushell/issues/6677#issuecomment-1364618122). ### Benchmarks I ran some benchmarks on my desktop (Linux, 12900K) and the results are very pleasing. Nu's time to start up and run a command (`cargo build --release; hyperfine 'target/release/nu -c "echo \"Hello, world!\""' --shell=none --warmup 10`) goes from **8.8ms to 3.2ms, about 2.8x faster**. Tests are also much faster! Running `cargo nextest` (with our very slow `proptest` tests disabled) goes from **7.2s to 4.4s (1.6x faster)**, because most tests involve launching a new instance of Nu. ### Design (updated) I've added a new `LazyRecord` trait and added a `Value` variant wrapping those trait objects, much like `CustomValue`. `LazyRecord` implementations must implement these 2 functions: ```rust // All column names fn column_names(&self) -> Vec<&'static str>; // Get 1 specific column value fn get_column_value(&self, column: &str) -> Result<Value, ShellError>; ``` ### Serializability `Value` variants must implement `Serializable` and `Deserializable`, which poses some problems because I want to use unserializable things like `EngineState` in `LazyRecord`s. To work around this, I basically lie to the type system: 1. Add `#[typetag::serde(tag = "type")]` to `LazyRecord` to make it serializable 2. Any unserializable fields in `LazyRecord` implementations get marked with `#[serde(skip)]` 3. At the point where a `LazyRecord` normally would get serialized and sent to a plugin, I instead collect it into a regular `Value::Record` (which can be serialized)
Nushell core libraries and plugins
These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.
Foundational libraries are split into two kinds of crates:
- Core crates - those crates that work together to build the Nushell language engine
- Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.
Plugins are likewise also split into two types:
- Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
- Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.