powdb-query 0.5.0

use crate::ast::{AggFunc, AlterAction, Assignment, Expr, JoinKind, WindowFunc};

/// A column definition carried by `PlanNode::CreateTable`. Replaces the
/// old `(name, type_name, required)` tuple so the `unique` modifier can
/// flow from the parser through to the executor's DDL arm.
#[derive(Debug, Clone)]
pub struct CreateField {
    pub name: String,
    pub type_name: String,
    pub required: bool,
    pub unique: bool,
}

/// Physical plan nodes — what the executor actually runs.
#[derive(Debug, Clone)]
pub enum PlanNode {
    SeqScan {
        table: String,
    },
    /// Mission E1.2: sequential scan that renames output columns to
    /// `alias.field`. Used exclusively as the leaves of a join plan so
    /// downstream `NestedLoopJoin` + `Filter` + `Project` nodes can resolve
    /// `Expr::QualifiedField` lookups by direct column-name match. Kept
    /// separate from `SeqScan` so the single-table fast paths (which match
    /// on `PlanNode::SeqScan { .. }` in many places) stay untouched.
    AliasScan {
        table: String,
        alias: String,
    },
    IndexScan {
        table: String,
        column: String,
        key: Expr,
    },
    /// B+tree range scan: returns rows where the indexed column falls within
    /// the given bounds. Generated by the planner when it detects inequality
    /// predicates (>, >=, <, <=, BETWEEN) on an indexed column. The executor
    /// falls back to SeqScan+Filter if no index exists on the column.
    RangeScan {
        table: String,
        column: String,
        /// Lower bound: (expr, inclusive). None = unbounded below.
        start: Option<(Expr, bool)>,
        /// Upper bound: (expr, inclusive). None = unbounded above.
        end: Option<(Expr, bool)>,
    },
    Filter {
        input: Box<PlanNode>,
        predicate: Expr,
    },
    Project {
        input: Box<PlanNode>,
        fields: Vec<ProjectField>,
    },
    Sort {
        input: Box<PlanNode>,
        keys: Vec<SortKey>,
    },
    Limit {
        input: Box<PlanNode>,
        count: Expr,
    },
    Offset {
        input: Box<PlanNode>,
        count: Expr,
    },
    Aggregate {
        input: Box<PlanNode>,
        function: AggFunc,
        field: Option<String>,
    },
    /// Mission E1.2: nested-loop join. Correctness-first implementation —
    /// O(L × R) scan for every join. E1.3 will add a hash-join fast path
    /// for equijoins (the common case). The executor handles `Inner`,
    /// `Cross`, and `LeftOuter`; `RightOuter` is rewritten by the planner
    /// into a `LeftOuter` with swapped inputs.
    NestedLoopJoin {
        left: Box<PlanNode>,
        right: Box<PlanNode>,
        /// Join predicate. `None` for `Cross` joins (emit every pair).
        on: Option<Expr>,
        kind: JoinKind,
    },
    Distinct {
        input: Box<PlanNode>,
    },
    /// Mission E2b: grouped aggregation. Output columns are
    /// `keys ++ [agg.output_name for agg in aggregates]`. The optional
    /// `having` predicate is evaluated against each output row *after*
    /// aggregation — it can reference both key columns and aggregate
    /// output names (the planner rewrites `FunctionCall` nodes in the
    /// HAVING expression into `Field("__agg_N")` references).
    GroupBy {
        input: Box<PlanNode>,
        keys: Vec<String>,
        aggregates: Vec<GroupAgg>,
        having: Option<Expr>,
    },
    AlterTable {
        table: String,
        action: AlterAction,
    },
    DropTable {
        name: String,
    },
    Insert {
        table: String,
        /// One assignment-block per row to insert. Always at least one.
        rows: Vec<Vec<Assignment>>,
    },
    /// UPSERT: probe index on `key_column` — if miss, insert; if hit, update.
    Upsert {
        table: String,
        key_column: String,
        assignments: Vec<Assignment>,
        on_conflict: Vec<Assignment>,
    },
    Update {
        input: Box<PlanNode>,
        table: String,
        assignments: Vec<Assignment>,
    },
    Delete {
        input: Box<PlanNode>,
        table: String,
    },
    CreateTable {
        name: String,
        fields: Vec<CreateField>,
    },
    /// Create a materialized view: execute query, store results, register.
    CreateView {
        name: String,
        query_text: String,
    },
    /// Explicitly refresh a materialized view.
    RefreshView {
        name: String,
    },
    /// Drop a materialized view (backing table + registry entry).
    DropView {
        name: String,
    },
    /// Window function computation layer.
    Window {
        input: Box<PlanNode>,
        windows: Vec<WindowDef>,
    },
    /// UNION [ALL]: execute both sides, concatenate (ALL) or deduplicate.
    Union {
        left: Box<PlanNode>,
        right: Box<PlanNode>,
        all: bool,
    },
    /// EXPLAIN: format the inner plan tree as a text result without executing.
    Explain {
        input: Box<PlanNode>,
    },
    Begin,
    Commit,
    Rollback,
}

#[derive(Debug, Clone)]
pub struct ProjectField {
    pub alias: Option<String>,
    pub expr: Expr,
}

#[derive(Debug, Clone)]
pub struct SortKey {
    pub field: String,
    pub descending: bool,
}

/// One aggregate computation inside a `PlanNode::GroupBy`.
#[derive(Debug, Clone)]
pub struct GroupAgg {
    pub function: AggFunc,
    /// Source column name to aggregate over.
    pub field: String,
    /// Synthetic output column name (`__agg_0`, `__agg_1`, …).
    pub output_name: String,
}

/// One window function definition inside a `PlanNode::Window`.
#[derive(Debug, Clone)]
pub struct WindowDef {
    pub function: WindowFunc,
    pub args: Vec<Expr>,
    pub partition_by: Vec<String>,
    pub order_by: Vec<SortKey>,
    pub output_name: String,
}