Files
nushell/crates/nu-cmd-dataframe/src/dataframe/eager/query_df.rs
Eric Hodel a95a4505ef Convert Shellerror::GenericError to named fields (#11230)
# Description

Replace `.to_string()` used in `GenericError` with `.into()` as
`.into()` seems more popular

Replace `Vec::new()` used in `GenericError` with `vec![]` as `vec![]`
seems more popular

(There are so, so many)
2023-12-07 00:40:03 +01:00

106 lines
3.0 KiB
Rust

use super::super::values::NuDataFrame;
use crate::dataframe::values::Column;
use crate::dataframe::{eager::SQLContext, values::NuLazyFrame};
use nu_engine::CallExt;
use nu_protocol::{
ast::Call,
engine::{Command, EngineState, Stack},
Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Type, Value,
};
// attribution:
// sql_context.rs, and sql_expr.rs were copied from polars-sql. thank you.
// maybe we should just use the crate at some point but it's not published yet.
// https://github.com/pola-rs/polars/tree/master/polars-sql
#[derive(Clone)]
pub struct QueryDf;
impl Command for QueryDf {
fn name(&self) -> &str {
"dfr query"
}
fn usage(&self) -> &str {
"Query dataframe using SQL. Note: The dataframe is always named 'df' in your query's from clause."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.required("sql", SyntaxShape::String, "sql query")
.input_output_type(
Type::Custom("dataframe".into()),
Type::Custom("dataframe".into()),
)
.category(Category::Custom("dataframe".into()))
}
fn search_terms(&self) -> Vec<&str> {
vec!["dataframe", "sql", "search"]
}
fn examples(&self) -> Vec<Example> {
vec![Example {
description: "Query dataframe using SQL",
example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr query 'select a from df'",
result: Some(
NuDataFrame::try_from_columns(vec![Column::new(
"a".to_string(),
vec![Value::test_int(1), Value::test_int(3)],
)])
.expect("simple 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> {
command(engine_state, stack, call, input)
}
}
fn command(
engine_state: &EngineState,
stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let sql_query: String = call.req(engine_state, stack, 0)?;
let df = NuDataFrame::try_from_pipeline(input, call.head)?;
let mut ctx = SQLContext::new();
ctx.register("df", &df.df);
let df_sql = ctx
.execute(&sql_query)
.map_err(|e| ShellError::GenericError {
error: "Dataframe Error".into(),
msg: e.to_string(),
span: Some(call.head),
help: None,
inner: vec![],
})?;
let lazy = NuLazyFrame::new(false, df_sql);
let eager = lazy.collect(call.head)?;
let value = Value::custom_value(Box::new(eager), call.head);
Ok(PipelineData::Value(value, None))
}
#[cfg(test)]
mod test {
use super::super::super::test_dataframe::test_dataframe;
use super::*;
#[test]
fn test_examples() {
test_dataframe(vec![Box::new(QueryDf {})])
}
}