mentat_query_projector 1.17.2

Projects SQL rows back into Mentat query results
Documentation
// Copyright 2018 Mozilla
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use
// this file except in compliance with the License. You may obtain a copy of the
// License at http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.

use std::rc::Rc;

use crate::{
    Binding, CombinedProjection, Element, FindSpec, ProjectedElements, QueryOutput, QueryResults,
    RelResult, RowSource, Schema, SqlConn, SqlRow, TypedIndex,
};

use query_projector_traits::errors::Result;

use super::Projector;

pub(crate) struct ScalarProjector {
    spec: Rc<FindSpec>,
    template: TypedIndex,
}

impl ScalarProjector {
    fn with_template(spec: Rc<FindSpec>, template: TypedIndex) -> ScalarProjector {
        ScalarProjector { spec, template }
    }

    pub(crate) fn combine(
        spec: Rc<FindSpec>,
        mut elements: ProjectedElements,
    ) -> Result<CombinedProjection> {
        let template = elements
            .templates
            .pop()
            .expect("Expected a single template");
        let projector = Box::new(ScalarProjector::with_template(spec, template));
        let distinct = false;
        elements.combine(projector, distinct)
    }
}

impl Projector for ScalarProjector {
    fn project(
        &self,
        _schema: &Schema,
        _sqlite: &dyn SqlConn,
        rows: &mut dyn RowSource,
    ) -> Result<QueryOutput> {
        let results = if let Some(r) = rows.next_row()? {
            let row = r;
            let binding = self.template.lookup(row)?;
            QueryResults::Scalar(Some(binding))
        } else {
            QueryResults::Scalar(None)
        };
        Ok(QueryOutput {
            spec: self.spec.clone(),
            results,
        })
    }

    fn columns<'s>(&'s self) -> Box<dyn Iterator<Item = &'s Element> + 's> {
        self.spec.columns()
    }
}

/// A tuple projector produces a single vector. It's the single-result version of rel.
pub(crate) struct TupleProjector {
    spec: Rc<FindSpec>,
    len: usize,
    templates: Vec<TypedIndex>,
}

impl TupleProjector {
    fn with_templates(
        spec: Rc<FindSpec>,
        len: usize,
        templates: Vec<TypedIndex>,
    ) -> TupleProjector {
        TupleProjector {
            spec,
            len,
            templates,
        }
    }

    // This is just like we do for `rel`, but into a vec of its own.
    fn collect_bindings(&self, row: &dyn SqlRow) -> Result<Vec<Binding>> {
        // There will be at least as many SQL columns as Datalog columns.
        // gte 'cos we might be querying extra columns for ordering.
        // The templates will take care of ignoring columns.
        assert!(row.column_count() >= self.len);
        self.templates
            .iter()
            .map(|ti| ti.lookup(row))
            .collect::<Result<Vec<Binding>>>()
    }

    pub(crate) fn combine(
        spec: Rc<FindSpec>,
        column_count: usize,
        mut elements: ProjectedElements,
    ) -> Result<CombinedProjection> {
        let projector = Box::new(TupleProjector::with_templates(
            spec,
            column_count,
            elements.take_templates(),
        ));
        let distinct = false;
        elements.combine(projector, distinct)
    }
}

impl Projector for TupleProjector {
    fn project(
        &self,
        _schema: &Schema,
        _sqlite: &dyn SqlConn,
        rows: &mut dyn RowSource,
    ) -> Result<QueryOutput> {
        let results = if let Some(r) = rows.next_row()? {
            let row = r;
            let bindings = self.collect_bindings(row)?;
            QueryResults::Tuple(Some(bindings))
        } else {
            QueryResults::Tuple(None)
        };
        Ok(QueryOutput {
            spec: self.spec.clone(),
            results,
        })
    }

    fn columns<'s>(&'s self) -> Box<dyn Iterator<Item = &'s Element> + 's> {
        self.spec.columns()
    }
}

/// A rel projector produces a RelResult, which is a striding abstraction over a vector.
/// Each stride across the vector is the same size, and sourced from the same columns.
/// Each column in each stride is the result of taking one or two columns from
/// the `Row`: one for the value and optionally one for the type tag.
pub(crate) struct RelProjector {
    spec: Rc<FindSpec>,
    len: usize,
    templates: Vec<TypedIndex>,
}

impl RelProjector {
    fn with_templates(spec: Rc<FindSpec>, len: usize, templates: Vec<TypedIndex>) -> RelProjector {
        RelProjector {
            spec,
            len,
            templates,
        }
    }

    fn collect_bindings_into(&self, row: &dyn SqlRow, out: &mut Vec<Binding>) -> Result<()> {
        // There will be at least as many SQL columns as Datalog columns.
        // gte 'cos we might be querying extra columns for ordering.
        // The templates will take care of ignoring columns.
        assert!(row.column_count() >= self.len);
        let mut count = 0;
        for binding in self.templates.iter().map(|ti| ti.lookup(row)) {
            out.push(binding?);
            count += 1;
        }
        assert_eq!(self.len, count);
        Ok(())
    }

    pub(crate) fn combine(
        spec: Rc<FindSpec>,
        column_count: usize,
        mut elements: ProjectedElements,
    ) -> Result<CombinedProjection> {
        let projector = Box::new(RelProjector::with_templates(
            spec,
            column_count,
            elements.take_templates(),
        ));

        // If every column yields only one value, or if this is an aggregate query
        // (because by definition every column in an aggregate query is either
        // aggregated or is a variable _upon which we group_), then don't bother
        // with DISTINCT.
        let already_distinct =
            elements.pre_aggregate_projection.is_some() || projector.columns().all(|e| e.is_unit());
        elements.combine(projector, !already_distinct)
    }
}

impl Projector for RelProjector {
    fn project(
        &self,
        _schema: &Schema,
        _sqlite: &dyn SqlConn,
        rows: &mut dyn RowSource,
    ) -> Result<QueryOutput> {
        // Allocate space for five rows to start.
        // This is better than starting off by doubling the buffer a couple of times, and will
        // rapidly grow to support larger query results.
        let width = self.len;
        let mut values: Vec<_> = Vec::with_capacity(5 * width);

        while let Some(r) = rows.next_row()? {
            let row = r;
            self.collect_bindings_into(row, &mut values)?;
        }

        Ok(QueryOutput {
            spec: self.spec.clone(),
            results: QueryResults::Rel(RelResult { width, values }),
        })
    }

    fn columns<'s>(&'s self) -> Box<dyn Iterator<Item = &'s Element> + 's> {
        self.spec.columns()
    }
}

/// A coll projector produces a vector of values.
/// Each value is sourced from the same column.
pub(crate) struct CollProjector {
    spec: Rc<FindSpec>,
    template: TypedIndex,
}

impl CollProjector {
    fn with_template(spec: Rc<FindSpec>, template: TypedIndex) -> CollProjector {
        CollProjector { spec, template }
    }

    pub(crate) fn combine(
        spec: Rc<FindSpec>,
        mut elements: ProjectedElements,
    ) -> Result<CombinedProjection> {
        let template = elements
            .templates
            .pop()
            .expect("Expected a single template");
        let projector = Box::new(CollProjector::with_template(spec, template));

        // If every column yields only one value, or if this is an aggregate query
        // (because by definition every column in an aggregate query is either
        // aggregated or is a variable _upon which we group_), then don't bother
        // with DISTINCT.
        let already_distinct =
            elements.pre_aggregate_projection.is_some() || projector.columns().all(|e| e.is_unit());
        elements.combine(projector, !already_distinct)
    }
}

impl Projector for CollProjector {
    fn project(
        &self,
        _schema: &Schema,
        _sqlite: &dyn SqlConn,
        rows: &mut dyn RowSource,
    ) -> Result<QueryOutput> {
        let mut out: Vec<_> = vec![];
        while let Some(r) = rows.next_row()? {
            let row = r;
            let binding = self.template.lookup(row)?;
            out.push(binding);
        }
        Ok(QueryOutput {
            spec: self.spec.clone(),
            results: QueryResults::Coll(out),
        })
    }

    fn columns<'s>(&'s self) -> Box<dyn Iterator<Item = &'s Element> + 's> {
        self.spec.columns()
    }
}