polars-lazy 0.26.1

Lazy query engine for the Polars DataFrame library
Documentation
use super::*;

pub struct StackExec {
    pub(crate) input: Box<dyn Executor>,
    pub(crate) has_windows: bool,
    pub(crate) expr: Vec<Arc<dyn PhysicalExpr>>,
    pub(crate) input_schema: SchemaRef,
}

impl StackExec {
    fn execute_impl(
        &mut self,
        state: &mut ExecutionState,
        mut df: DataFrame,
    ) -> PolarsResult<DataFrame> {
        let res = if self.has_windows {
            // we have a different run here
            // to ensure the window functions run sequential and share caches
            execute_projection_cached_window_fns(&df, &self.expr, state)?
        } else {
            POOL.install(|| {
                self.expr
                    .par_iter()
                    .map(|expr| expr.evaluate(&df, state))
                    .collect::<PolarsResult<Vec<_>>>()
            })?
        };
        state.clear_expr_cache();

        let schema = &*self.input_schema;
        df._add_columns(res, schema)?;

        Ok(df)
    }
}

impl Executor for StackExec {
    fn execute(&mut self, state: &mut ExecutionState) -> PolarsResult<DataFrame> {
        #[cfg(debug_assertions)]
        {
            if state.verbose() {
                println!("run StackExec")
            }
        }
        let df = self.input.execute(state)?;

        let profile_name = if state.has_node_timer() {
            let by = self
                .expr
                .iter()
                .map(|s| Ok(s.to_field(&self.input_schema)?.name))
                .collect::<PolarsResult<Vec<_>>>()?;
            let name = column_delimited("with_column".to_string(), &by);
            Cow::Owned(name)
        } else {
            Cow::Borrowed("")
        };

        if state.has_node_timer() {
            let new_state = state.clone();
            new_state.record(|| self.execute_impl(state, df), profile_name)
        } else {
            self.execute_impl(state, df)
        }
    }
}