nushell/crates/nu-cmd-dataframe/src/dataframe/lazy/fill_nan.rs
Ian Manske 6fd854ed9f
Replace ExternalStream with new ByteStream type (#12774)
# Description
This PR introduces a `ByteStream` type which is a `Read`-able stream of
bytes. Internally, it has an enum over three different byte stream
sources:
```rust
pub enum ByteStreamSource {
    Read(Box<dyn Read + Send + 'static>),
    File(File),
    Child(ChildProcess),
}
```

This is in comparison to the current `RawStream` type, which is an
`Iterator<Item = Vec<u8>>` and has to allocate for each read chunk.

Currently, `PipelineData::ExternalStream` serves a weird dual role where
it is either external command output or a wrapper around `RawStream`.
`ByteStream` makes this distinction more clear (via `ByteStreamSource`)
and replaces `PipelineData::ExternalStream` in this PR:
```rust
pub enum PipelineData {
    Empty,
    Value(Value, Option<PipelineMetadata>),
    ListStream(ListStream, Option<PipelineMetadata>),
    ByteStream(ByteStream, Option<PipelineMetadata>),
}
```

The PR is relatively large, but a decent amount of it is just repetitive
changes.

This PR fixes #7017, fixes #10763, and fixes #12369.

This PR also improves performance when piping external commands. Nushell
should, in most cases, have competitive pipeline throughput compared to,
e.g., bash.
| Command | Before (MB/s) | After (MB/s) | Bash (MB/s) |
| -------------------------------------------------- | -------------:|
------------:| -----------:|
| `throughput \| rg 'x'` | 3059 | 3744 | 3739 |
| `throughput \| nu --testbin relay o> /dev/null` | 3508 | 8087 | 8136 |

# User-Facing Changes
- This is a breaking change for the plugin communication protocol,
because the `ExternalStreamInfo` was replaced with `ByteStreamInfo`.
Plugins now only have to deal with a single input stream, as opposed to
the previous three streams: stdout, stderr, and exit code.
- The output of `describe` has been changed for external/byte streams.
- Temporary breaking change: `bytes starts-with` no longer works with
byte streams. This is to keep the PR smaller, and `bytes ends-with`
already does not work on byte streams.
- If a process core dumped, then instead of having a `Value::Error` in
the `exit_code` column of the output returned from `complete`, it now is
a `Value::Int` with the negation of the signal number.

# After Submitting
- Update docs and book as necessary
- Release notes (e.g., plugin protocol changes)
- Adapt/convert commands to work with byte streams (high priority is
`str length`, `bytes starts-with`, and maybe `bytes ends-with`).
- Refactor the `tee` code, Devyn has already done some work on this.

---------

Co-authored-by: Devyn Cairns <devyn.cairns@gmail.com>
2024-05-16 07:11:18 -07:00

144 lines
4.9 KiB
Rust

use crate::dataframe::values::{Column, NuDataFrame, NuExpression};
use nu_engine::command_prelude::*;
#[derive(Clone)]
pub struct LazyFillNA;
impl Command for LazyFillNA {
fn name(&self) -> &str {
"dfr fill-nan"
}
fn usage(&self) -> &str {
"Replaces NaN values with the given expression."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.required(
"fill",
SyntaxShape::Any,
"Expression to use to fill the NAN values",
)
.input_output_type(
Type::Custom("dataframe".into()),
Type::Custom("dataframe".into()),
)
.category(Category::Custom("lazyframe".into()))
}
fn examples(&self) -> Vec<Example> {
vec![
Example {
description: "Fills the NaN values with 0",
example: "[1 2 NaN 3 NaN] | dfr into-df | dfr fill-nan 0",
result: Some(
NuDataFrame::try_from_columns(
vec![Column::new(
"0".to_string(),
vec![
Value::test_int(1),
Value::test_int(2),
Value::test_int(0),
Value::test_int(3),
Value::test_int(0),
],
)],
None,
)
.expect("Df for test should not fail")
.into_value(Span::test_data()),
),
},
Example {
description: "Fills the NaN values of a whole dataframe",
example: "[[a b]; [0.2 1] [0.1 NaN]] | dfr into-df | dfr fill-nan 0",
result: Some(
NuDataFrame::try_from_columns(
vec![
Column::new(
"a".to_string(),
vec![Value::test_float(0.2), Value::test_float(0.1)],
),
Column::new(
"b".to_string(),
vec![Value::test_int(1), Value::test_int(0)],
),
],
None,
)
.expect("Df for test should not fail")
.into_value(Span::test_data()),
),
},
]
}
fn run(
&self,
engine_state: &EngineState,
stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let fill: Value = call.req(engine_state, stack, 0)?;
let value = input.into_value(call.head)?;
if NuExpression::can_downcast(&value) {
let expr = NuExpression::try_from_value(value)?;
let fill = NuExpression::try_from_value(fill)?.into_polars();
let expr: NuExpression = expr.into_polars().fill_nan(fill).into();
Ok(PipelineData::Value(
NuExpression::into_value(expr, call.head),
None,
))
} else {
let val_span = value.span();
let frame = NuDataFrame::try_from_value(value)?;
let columns = frame.columns(val_span)?;
let dataframe = columns
.into_iter()
.map(|column| {
let column_name = column.name().to_string();
let values = column
.into_iter()
.map(|value| {
let span = value.span();
match value {
Value::Float { val, .. } => {
if val.is_nan() {
fill.clone()
} else {
value
}
}
Value::List { vals, .. } => {
NuDataFrame::fill_list_nan(vals, span, fill.clone())
}
_ => value,
}
})
.collect::<Vec<Value>>();
Column::new(column_name, values)
})
.collect::<Vec<Column>>();
Ok(PipelineData::Value(
NuDataFrame::try_from_columns(dataframe, None)?.into_value(call.head),
None,
))
}
}
}
#[cfg(test)]
mod test {
use super::super::super::test_dataframe::test_dataframe;
use super::*;
#[test]
fn test_examples() {
test_dataframe(vec![Box::new(LazyFillNA {})])
}
}