package granary
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>
Pure-OCaml SQL engine
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.0.3.tar.gz
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doc/src/granary.sql/planner.ml.html
Source file planner.ml
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let plan_binop : Sema.binop -> Plan.binop = function | Sema.Eq -> Plan.Eq | Sema.Ne -> Plan.Ne | Sema.Lt -> Plan.Lt | Sema.Le -> Plan.Le | Sema.Gt -> Plan.Gt | Sema.Ge -> Plan.Ge | Sema.Add -> Plan.Add | Sema.Sub -> Plan.Sub | Sema.Mul -> Plan.Mul | Sema.Div -> Plan.Div | Sema.And -> Plan.And | Sema.Or -> Plan.Or | Sema.Concat -> Plan.Concat | Sema.Mod -> Plan.Mod | Sema.Bit_and -> Plan.Bit_and | Sema.Bit_or -> Plan.Bit_or | Sema.Lshift -> Plan.Lshift | Sema.Rshift -> Plan.Rshift | Sema.Like -> Plan.Like | Sema.Glob -> Plan.Glob ;; let rec plan_expr = function | Sema.BE_lit l -> Plan.P_lit l | Sema.BE_col i -> Plan.P_col i | Sema.BE_binop (op, a, b) -> Plan.P_binop (plan_binop op, plan_expr a, plan_expr b) | Sema.BE_not e -> Plan.P_not (plan_expr e) | Sema.BE_is_null e -> Plan.P_is_null (plan_expr e) | Sema.BE_is_not_null e -> Plan.P_is_not_null (plan_expr e) | Sema.BE_neg e -> Plan.P_neg (plan_expr e) | Sema.BE_bitnot e -> Plan.P_bitnot (plan_expr e) | Sema.BE_between (x, lo, hi) -> Plan.P_between (plan_expr x, plan_expr lo, plan_expr hi) | Sema.BE_in (x, vals) -> Plan.P_in (plan_expr x, List.map plan_expr vals) | Sema.BE_func (func, args) -> Plan.P_func (func, List.map plan_expr args) | Sema.BE_param i -> Plan.P_param i | Sema.BE_match _ -> failwith "plan_expr: BE_match should be handled at statement level, not as an expr" | Sema.BE_subquery inner -> Plan.P_subquery inner | Sema.BE_exists inner -> Plan.P_exists inner | Sema.BE_in_select (bx, inner) -> Plan.P_in_select (plan_expr bx, inner) | Sema.BE_case { scrutinee; branches; else_ } -> Plan.P_case { scrutinee = Option.map plan_expr scrutinee ; branches = List.map (fun (c, r) -> plan_expr c, plan_expr r) branches ; else_ = Option.map plan_expr else_ } | Sema.BE_cast (e, ty) -> Plan.P_cast (plan_expr e, ty) | Sema.BE_excluded_col i -> Plan.P_excluded_col i | Sema.BE_window_slot i -> Plan.P_window_slot i | Sema.BE_collate (be, c) -> Plan.P_collate (plan_expr be, c) ;; (** Try to recognise an equality predicate of the form [col = v] (or [v = col]) where [v] is a literal or a bound parameter, at the top level of the WHERE clause. Returns [Some (col_idx, value_expr)] if matched, [None] otherwise. A literal [col = NULL] is intentionally NOT matched: [WHERE col = NULL] "never matches", and falling back to [Op_filter] (which short-circuits on NULL) gives correct behaviour. A bound parameter ([col = ?]) IS matched — this is the common prepared-statement point lookup (#228) — but because the bound value is unknown at plan time and may be NULL at run time, [Op_index_lookup] execution must return no rows when the value evaluates to NULL (see [stream_index_lookup]). *) let recognise_eq_col_lit = function | Sema.BE_binop (Sema.Eq, Sema.BE_col i, (Sema.BE_lit l as e)) | Sema.BE_binop (Sema.Eq, (Sema.BE_lit l as e), Sema.BE_col i) -> (match l with | Ast.L_null -> None | _ -> Some (i, e)) | Sema.BE_binop (Sema.Eq, Sema.BE_col i, (Sema.BE_param _ as e)) | Sema.BE_binop (Sema.Eq, (Sema.BE_param _ as e), Sema.BE_col i) -> Some (i, e) | _ -> None ;; (** If the catalog has a single-column index on [(table, col_idx)], return the matching [index_info]. Multi-column indexes are not used for lookup optimization (deferred). Otherwise [None]. *) let find_index_on_col cat (meta : Cat.table_meta) col_idx = let col_name = (List.nth meta.columns col_idx).Row.name in let candidates = Cat.indexes_for_table cat ~table:meta.name in List.find_opt (fun (i : Cat.index_info) -> (* Partial indexes (with WHERE clause) are not safe to use for general query optimization: a row absent from the index may still satisfy the query's WHERE clause, so we must always fall back to a full scan. Expression indexes are also excluded from Op_index_lookup optimization: the optimizer cannot trivially match query predicates to expression index keys. *) let is_plain_cols = match i.Cat.idx_expr_flags with | [] -> true (* old format: no flags = all plain *) | flags -> not (List.exists Fun.id flags) (* no expression columns *) in is_plain_cols && i.Cat.idx_where_sql = None && match i.Cat.idx_columns with | [ col ] -> col = col_name | _ -> false (* multi-column indexes not used for lookup optimization *)) candidates ;; (** Detect [BE_col a = BE_col b] equality at the top level. *) let recognise_eq_col_col = function | Sema.BE_binop (Sema.Eq, Sema.BE_col a, Sema.BE_col b) -> Some (a, b) | _ -> None ;; (* Negative [tree_id]s are sentinels for synthesized scans with no real B-tree: -1 = CTE, -2 = sqlite_master, -3 = sqlite_sequence. Each is materialized by a dedicated plan op rather than a [Op_seq_scan] over a stored tree. *) let make_scan (meta : Cat.table_meta) : Plan.op = match meta.Cat.storage with | Cat.Columnar _ -> Plan.Op_col_seq_scan { table_meta = meta } | Cat.Row { tree_id = -1; _ } -> Plan.Op_cte_scan { cte_name = meta.Cat.name; n_cols = List.length meta.Cat.columns } | Cat.Row { tree_id = -2; _ } -> Plan.Op_sqlite_master | Cat.Row { tree_id = -3; _ } -> Plan.Op_sqlite_sequence | Cat.Row _ -> Plan.Op_seq_scan { table_meta = meta } ;; (** Plan a JOIN. [left_op] produces left-table rows; we wrap it with either Op_nested_loop_join (when the right join column has an index) or Op_hash_join (otherwise). If the ON predicate is not a simple equality between a left and a right column, fall back to a hash cartesian product wrapped in an Op_filter. *) let plan_join cat (bj : Sema.bound_join) (left_op : Plan.op) (n_left : int) : Plan.op = let join_kind = match bj.kind with | Ast.Inner -> `Inner | Ast.Left -> `Left in let right_offset = bj.right_col_offset in let n_right_cols = List.length bj.right_meta.Cat.columns in let mk_with_left_col_right_col left_col right_col : Plan.op = let idx_opt = find_index_on_col cat bj.right_meta right_col in match idx_opt with | Some idx -> Plan.Op_nested_loop_join { left = left_op ; right_meta = bj.right_meta ; idx_tree = idx.Cat.idx_tree_id ; right_col_idx = right_col ; left_col_idx = left_col ; join_kind ; right_col_offset = right_offset ; n_right_cols } | None -> Plan.Op_hash_join { left = left_op ; right = make_scan bj.right_meta ; left_key = left_col ; right_key = right_col ; join_kind ; right_col_offset = right_offset ; n_right_cols } in match recognise_eq_col_col bj.on with | Some (a, b) when a < n_left && b >= right_offset -> mk_with_left_col_right_col a (b - right_offset) | Some (a, b) when b < n_left && a >= right_offset -> mk_with_left_col_right_col b (a - right_offset) | _ -> (* General ON predicate: cartesian hash-join + post-filter. *) let cart = Plan.Op_hash_join { left = left_op ; right = make_scan bj.right_meta ; left_key = -1 ; right_key = -1 ; join_kind ; right_col_offset = right_offset ; n_right_cols } in Plan.Op_filter { pred = plan_expr bj.on; child = cart } ;; let sema_agg_to_plan (a : Sema.agg_spec) : Plan.agg_spec = { Plan.func = a.func; col_ord = a.col_ord } ;; let sema_agg_proj_to_plan : Sema.agg_proj_item -> Plan.proj_item = function | Sema.AP_group_col i -> Plan.PI_group_col i | Sema.AP_agg_slot i -> Plan.PI_agg_slot i | Sema.AP_window_slot i -> Plan.PI_window_slot i ;; let plan_window_item (ws : Sema.window_sema) : Plan.window_plan_item = { Plan.func = ws.Sema.func ; args = List.map plan_expr ws.Sema.args ; partition_by = List.map plan_expr ws.Sema.partition_by ; order_by = List.map (fun (bk : Sema.bound_order_key) -> let dir = match bk.Sema.dir with | Ast.Asc -> `Asc | Ast.Desc -> `Desc in let nulls = match bk.Sema.nulls with | Some `Nulls_first -> `Nulls_first | Some `Nulls_last -> `Nulls_last | None -> (match dir with | `Asc -> `Nulls_first | `Desc -> `Nulls_last) in plan_expr bk.Sema.key, dir, nulls) ws.Sema.order_by ; frame = ws.Sema.frame } ;; let rec substitute_window_slots ~n_input_cols (e : Plan.expr) : Plan.expr = let go = substitute_window_slots ~n_input_cols in match e with | Plan.P_window_slot i -> Plan.P_col (n_input_cols + i) | Plan.P_binop (op, a, b) -> Plan.P_binop (op, go a, go b) | Plan.P_not e -> Plan.P_not (go e) | Plan.P_is_null e -> Plan.P_is_null (go e) | Plan.P_is_not_null e -> Plan.P_is_not_null (go e) | Plan.P_neg e -> Plan.P_neg (go e) | Plan.P_bitnot e -> Plan.P_bitnot (go e) | Plan.P_between (x, lo, hi) -> Plan.P_between (go x, go lo, go hi) | Plan.P_in (x, vs) -> Plan.P_in (go x, List.map go vs) | Plan.P_func (f, args) -> Plan.P_func (f, List.map go args) | Plan.P_case { scrutinee; branches; else_ } -> Plan.P_case { scrutinee = Option.map go scrutinee ; branches = List.map (fun (c, r) -> go c, go r) branches ; else_ = Option.map go else_ } | Plan.P_cast (e, ty) -> Plan.P_cast (go e, ty) | Plan.P_collate (e, c) -> Plan.P_collate (go e, c) | e' -> e' ;; (* Choose the base access path for a single table: an index lookup when the WHERE clause is [col = literal] and an index covers the column, else a seq scan (optionally wrapped in a filter). With joins, always a seq scan. *) let plan_base cat ~table_meta ~where ~has_joins = if has_joins then make_scan table_meta else ( match where with | None -> make_scan table_meta | Some e -> (match recognise_eq_col_lit e with | Some (col_idx, lit_expr) when Cat.rowid_alias_col table_meta = Some col_idx -> (* #243 (T1): the alias column IS the table key — a single rowid seek, no index. *) Plan.Op_rowid_lookup { table_meta; lookup_val = plan_expr lit_expr } | Some (col_idx, lit_expr) -> (match find_index_on_col cat table_meta col_idx with | Some idx -> let col_type = (List.nth table_meta.columns col_idx).Row.ty in let tree_id_pl, _, _, _ = Cat.row_storage table_meta in Plan.Op_index_lookup { table_tree = tree_id_pl ; idx_tree = idx.idx_tree_id ; col_idx ; col_type ; lookup_val = plan_expr lit_expr ; table_meta } | None -> Plan.Op_filter { pred = plan_expr e; child = make_scan table_meta }) | None -> Plan.Op_filter { pred = plan_expr e; child = make_scan table_meta })) ;; (* Build ORDER BY sort keys, substituting window slots into the key expressions when window functions are present. *) let plan_sort_keys ~order ~windows ~n_input_cols = List.map (fun (bkey : Sema.bound_order_key) -> let dir = match bkey.dir with | Ast.Asc -> `Asc | Ast.Desc -> `Desc in let nulls = match bkey.nulls with | Some `Nulls_first -> `Nulls_first | Some `Nulls_last -> `Nulls_last | None -> (match dir with | `Asc -> `Nulls_first | `Desc -> `Nulls_last) in let e = plan_expr bkey.key in let e' = if windows = [] then e else substitute_window_slots ~n_input_cols e in e', dir, nulls) order ;; (* Build the projection operator: aggregate, expression-project (with window slot substitution), or plain ordinal project. *) let plan_projection ~is_aggregated ~after_sort ~group_by ~aggs ~having ~agg_proj ~agg_windows ~expr_proj ~proj ~windows ~n_input_cols = if is_aggregated then Plan.Op_aggregate { child = after_sort ; group_cols = group_by ; aggs = List.map sema_agg_to_plan aggs ; having = Option.map plan_expr having ; proj = List.map sema_agg_proj_to_plan agg_proj ; windows = List.map plan_window_item agg_windows } else if expr_proj <> [] then Plan.Op_expr_project { exprs = List.map (fun (be, alias) -> let e = plan_expr be in let e' = if windows = [] then e else substitute_window_slots ~n_input_cols e in e', alias) expr_proj ; child = after_sort } else Plan.Op_project { ordinals = proj; child = after_sort } ;; (* Post-aggregation ORDER BY: ORDER BY col indices are in pre-aggregation space, so remap each P_col to its position in the aggregated output. *) let plan_post_agg_sort ~group_by ~agg_proj ~order ~projected = let plan_proj = List.map sema_agg_proj_to_plan agg_proj in let find_idx pred lst = let rec go k = function | [] -> None | x :: rest -> if pred x then Some k else go (k + 1) rest in go 0 lst in let remap_e e = match e with | Plan.P_col i -> (match find_idx (( = ) i) group_by with | None -> e | Some gc_pos -> (match find_idx (function | Plan.PI_group_col k -> k = gc_pos | _ -> false) plan_proj with | Some out_pos -> Plan.P_col out_pos | None -> e)) | _ -> e in let keys = List.map (fun (bkey : Sema.bound_order_key) -> let dir = match bkey.dir with | Ast.Asc -> `Asc | Ast.Desc -> `Desc in let nulls = match bkey.nulls with | Some `Nulls_first -> `Nulls_first | Some `Nulls_last -> `Nulls_last | None -> (match dir with | `Asc -> `Nulls_first | `Desc -> `Nulls_last) in let e = plan_expr bkey.key in let e' = remap_e e in e', dir, nulls) order in if keys = [] then projected else Plan.Op_sort { keys; child = projected } ;; (* Apply DISTINCT then LIMIT/OFFSET to a planned SELECT body. *) let finalize_select ~distinct ~limit ~offset sorted = let after_distinct = if distinct then Plan.Op_distinct { child = sorted } else sorted in match limit with | None -> after_distinct | Some n -> let off = Option.value ~default:0 offset in Plan.Op_limit { limit = n; offset = off; child = after_distinct } ;; (* Catalog path: chain joins left-to-right via plan_join, then apply WHERE to the combined row (single-table WHERE is already folded into [base]). *) let chain_joins cat ~(table_meta : Cat.table_meta) ~base ~joins ~where = let after_joins, _ = List.fold_left (fun (op, n_left) (bj : Sema.bound_join) -> let joined = plan_join cat bj op n_left in joined, n_left + List.length bj.Sema.right_meta.Cat.columns) (base, List.length table_meta.Cat.columns) joins in if joins <> [] then ( match where with | None -> after_joins | Some e -> Plan.Op_filter { pred = plan_expr e; child = after_joins }) else after_joins ;; (* No-catalog path: chain joins as hash joins, recognising equi-join keys and falling back to a cartesian product + filter. *) let chain_joins_no_cat ~(table_meta : Cat.table_meta) ~joins = let base = make_scan table_meta in fst (List.fold_left (fun (op, n_left) (bj : Sema.bound_join) -> let n_right_cols = List.length bj.right_meta.Cat.columns in let right_offset = bj.right_col_offset in let join_kind = match bj.kind with | Ast.Inner -> `Inner | Ast.Left -> `Left in let joined = match recognise_eq_col_col bj.on with | Some (a, b) when a < n_left && b >= right_offset -> Plan.Op_hash_join { left = op ; right = make_scan bj.right_meta ; left_key = a ; right_key = b - right_offset ; join_kind ; right_col_offset = right_offset ; n_right_cols } | Some (a, b) when b < n_left && a >= right_offset -> Plan.Op_hash_join { left = op ; right = make_scan bj.right_meta ; left_key = b ; right_key = a - right_offset ; join_kind ; right_col_offset = right_offset ; n_right_cols } | _ -> let cart = Plan.Op_hash_join { left = op ; right = make_scan bj.right_meta ; left_key = -1 ; right_key = -1 ; join_kind ; right_col_offset = right_offset ; n_right_cols } in Plan.Op_filter { pred = plan_expr bj.on; child = cart } in joined, n_left + n_right_cols) (base, List.length table_meta.columns) joins) ;; let plan_select cat ~table_meta ~proj ~expr_proj ~where ~order ~limit ~offset ~joins ~group_by ~aggs ~having ~agg_proj ~distinct ~windows ~agg_windows = let has_joins = joins <> [] in let n_input_cols = List.length table_meta.Cat.columns + List.fold_left (fun acc (bj : Sema.bound_join) -> acc + List.length bj.Sema.right_meta.Cat.columns) 0 joins in let base = plan_base cat ~table_meta ~where ~has_joins in let after_where = chain_joins cat ~table_meta ~base ~joins ~where in let is_aggregated = aggs <> [] || group_by <> [] in (* Insert Op_window after scan+filter+joins when windows are present. *) let after_window = if windows = [] then after_where else Plan.Op_window { child = after_where; windows = List.map plan_window_item windows; n_input_cols } in (* For non-aggregate queries: sort BEFORE projection so col_idx correctly addresses the original table schema (pre-projection row layout). For aggregate queries: sort AFTER aggregation because ORDER BY refers to the aggregated output row layout. *) let make_sort child = let keys = plan_sort_keys ~order ~windows ~n_input_cols in if keys = [] then child else Plan.Op_sort { keys; child } in let after_sort = if is_aggregated then after_window else make_sort after_window in let projected = plan_projection ~is_aggregated ~after_sort ~group_by ~aggs ~having ~agg_proj ~agg_windows ~expr_proj ~proj ~windows ~n_input_cols in (* Post-aggregation sort (only for aggregated queries). *) let sorted = if is_aggregated then plan_post_agg_sort ~group_by ~agg_proj ~order ~projected else projected in finalize_select ~distinct ~limit ~offset sorted ;; (* ORDER BY sort keys without window-slot substitution (used by UPDATE, DELETE, compound queries, and the no-catalog SELECT path). *) let plan_order_keys order = List.map (fun (bk : Sema.bound_order_key) -> let dir = match bk.dir with | Ast.Asc -> `Asc | Ast.Desc -> `Desc in let nulls = match bk.nulls with | Some `Nulls_first -> `Nulls_first | Some `Nulls_last -> `Nulls_last | None -> (match dir with | `Asc -> `Nulls_first | `Desc -> `Nulls_last) in plan_expr bk.key, dir, nulls) order ;; (* Catalog indexes for a table, or [] when no catalog is available. *) let indexes_of cat (table_meta : Cat.table_meta) = match cat with | Some c -> Cat.indexes_for_table c ~table:table_meta.Cat.name | None -> [] ;; let plan_insert ~table_meta ~ordinals ~values ~on_conflict ~returning ~upsert_update = let plan_upsert = match upsert_update with | None -> None | Some (cols, assigns) -> Some (cols, List.map (fun (i, e) -> i, plan_expr e) assigns) in Plan.Op_insert { table_meta ; ordinals ; values = List.map (List.map plan_expr) values ; on_conflict ; returning = List.map plan_expr returning ; upsert_update = plan_upsert } ;; let plan_create_index ~name ~table_meta ~col_sqls ~col_expr_flags ~where_expr ~where_ast ~unique ~if_not_exists = let tree_id_ci, _, _, _ = Cat.row_storage table_meta in Plan.Op_create_index { name ; table = table_meta.Cat.name ; tree_id = tree_id_ci ; col_sqls ; col_expr_flags ; where_expr = Option.map plan_expr where_expr ; where_sql = Option.map Ast.expr_to_sql where_ast ; unique ; columns = table_meta.Cat.columns ; if_not_exists } ;; let plan_update cat ~table_meta ~assignments ~where ~order ~limit ~offset ~returning = Plan.Op_update { table_meta ; assignments = List.map (fun (i, e) -> i, plan_expr e) assignments ; where = Option.map plan_expr where ; order = plan_order_keys order ; limit ; offset ; indexes = indexes_of cat table_meta ; returning = List.map plan_expr returning } ;; let plan_delete cat ~table_meta ~where ~order ~limit ~offset ~returning = Plan.Op_delete { table_meta ; where = Option.map plan_expr where ; order = plan_order_keys order ; limit ; offset ; indexes = indexes_of cat table_meta ; returning = List.map plan_expr returning } ;; (* SELECT planning without a catalog: no index lookups and no index-based NLJ; builds a hash-join + filter chain manually. *) let plan_select_no_cat ~table_meta ~proj ~expr_proj ~where ~order ~limit ~offset ~joins ~group_by ~aggs ~having ~agg_proj ~distinct ~windows ~agg_windows = let after_joins = chain_joins_no_cat ~table_meta ~joins in let filtered = match where with | None -> after_joins | Some e -> Plan.Op_filter { pred = plan_expr e; child = after_joins } in let n_input_cols_no_cat = List.length table_meta.Cat.columns + List.fold_left (fun acc (bj : Sema.bound_join) -> acc + List.length bj.Sema.right_meta.Cat.columns) 0 joins in let after_window_no_cat = if windows = [] then filtered else Plan.Op_window { child = filtered ; windows = List.map plan_window_item windows ; n_input_cols = n_input_cols_no_cat } in let is_aggregated = aggs <> [] || group_by <> [] in let make_sort child = let keys = plan_order_keys order in if keys = [] then child else Plan.Op_sort { keys; child } in let after_sort = if is_aggregated then after_window_no_cat else make_sort after_window_no_cat in let projected = plan_projection ~is_aggregated ~after_sort ~group_by ~aggs ~having ~agg_proj ~agg_windows ~expr_proj ~proj ~windows ~n_input_cols:n_input_cols_no_cat in let sorted = if is_aggregated then make_sort projected else projected in finalize_select ~distinct ~limit ~offset sorted ;; (* PRAGMA table_info rows: one row per column (cid, name, type, notnull, dflt_value, pk). *) let pragma_table_info_rows cat table_name = match cat with | None -> [] | Some c -> (match Cat.find_table_cached c ~name:table_name with | None -> [] | Some meta -> List.mapi (fun i (col : Row.column) -> [| Row.V_int (Int64.of_int i) ; Row.V_text col.name ; Row.V_text (match col.ty with | Row.Integer -> "INTEGER" | Row.Text -> "TEXT" | Row.Real -> "REAL" | Row.Blob -> "BLOB") ; Row.V_int (if col.not_null then 1L else 0L) ; Row.V_null ; (* dflt_value — simplified *) Row.V_int (if col.primary_key then 1L else 0L) |]) meta.columns) ;; (* PRAGMA foreign_key_list rows, in SQLite column order: id, seq, table (parent), from (local), to (parent col), on_update, on_delete, match. *) let pragma_fk_list_rows cat table_name = let fks = match cat with | None -> [] | Some c -> (match Cat.find_table_cached c ~name:table_name with | None -> [] | Some meta -> meta.Cat.fk_constraints) in List.mapi (fun i (fk : Cat.fk_constraint) -> [| Row.V_int (Int64.of_int i) ; Row.V_int 0L ; (* seq: always 0 for single-col FKs *) Row.V_text fk.Cat.fk_parent_table ; Row.V_text (String.concat "," fk.Cat.fk_local_cols) ; Row.V_text (String.concat "," fk.Cat.fk_parent_cols) ; Row.V_text (fk_action_str fk.Cat.fk_on_update) ; Row.V_text (fk_action_str fk.Cat.fk_on_delete) ; Row.V_text "NONE" |] (* match: always NONE *)) fks ;; (* Rows for the result-producing PRAGMAs (those not handled as Op_pragma_* in [plan_pragma]). *) let plan_pragma_rows cat kind = match kind with | Ast.Pragma_table_info table_name -> pragma_table_info_rows cat table_name | Ast.Pragma_index_list table_name -> let idxs = match cat with | None -> [] | Some c -> Cat.indexes_for_table c ~table:table_name in List.mapi (fun i (idx : Cat.index_info) -> [| Row.V_int (Int64.of_int i) ; Row.V_text idx.idx_name ; Row.V_int (if idx.idx_unique then 1L else 0L) |]) idxs | Ast.Pragma_foreign_key_list table_name -> pragma_fk_list_rows cat table_name | Ast.Pragma_journal_mode -> [ [| Row.V_text "delete" |] ] | Ast.Pragma_set _ -> [] (* no-op setter: return empty result *) | Ast.Pragma_user_version | Ast.Pragma_user_version_set _ | Ast.Pragma_integrity_check | Ast.Pragma_foreign_keys | Ast.Pragma_foreign_keys_set _ | Ast.Pragma_recursive_triggers | Ast.Pragma_recursive_triggers_set _ | Ast.Pragma_defer_foreign_keys | Ast.Pragma_defer_foreign_keys_set _ | Ast.Pragma_wal_checkpoint | Ast.Pragma_wal_autocheckpoint | Ast.Pragma_wal_autocheckpoint_set _ | Ast.Pragma_synchronous | Ast.Pragma_synchronous_set _ | Ast.Pragma_wal_batch_commits | Ast.Pragma_wal_batch_commits_set _ | Ast.Pragma_wal_batch_interval_ms | Ast.Pragma_wal_batch_interval_ms_set _ | Ast.Pragma_database_list | Ast.Pragma_active_database | Ast.Pragma_active_database_set _ -> assert false (* handled by outer match in plan_pragma *) ;; let plan_pragma cat kind = match kind with | Ast.Pragma_user_version -> Plan.Op_pragma_get_user_version | Ast.Pragma_user_version_set v -> Plan.Op_pragma_set_user_version { version = v } | Ast.Pragma_integrity_check -> Plan.Op_pragma_integrity_check | Ast.Pragma_foreign_keys -> Plan.Op_pragma_get_fk | Ast.Pragma_foreign_keys_set on -> Plan.Op_pragma_set_fk { on } | Ast.Pragma_recursive_triggers -> Plan.Op_pragma_get_recursive_triggers | Ast.Pragma_recursive_triggers_set on -> Plan.Op_pragma_set_recursive_triggers { on } | Ast.Pragma_defer_foreign_keys -> Plan.Op_pragma_get_defer_fk | Ast.Pragma_defer_foreign_keys_set on -> Plan.Op_pragma_set_defer_fk { on } | Ast.Pragma_wal_checkpoint -> Plan.Op_pragma_wal_checkpoint | Ast.Pragma_wal_autocheckpoint -> Plan.Op_pragma_get_wal_autocheckpoint | Ast.Pragma_wal_autocheckpoint_set n -> Plan.Op_pragma_set_wal_autocheckpoint { n } | Ast.Pragma_synchronous -> Plan.Op_pragma_get_synchronous | Ast.Pragma_synchronous_set mode -> Plan.Op_pragma_set_synchronous { mode } | Ast.Pragma_wal_batch_commits -> Plan.Op_pragma_get_wal_batch_commits | Ast.Pragma_wal_batch_commits_set n -> Plan.Op_pragma_set_wal_batch_commits { n } | Ast.Pragma_wal_batch_interval_ms -> Plan.Op_pragma_get_wal_batch_interval_ms | Ast.Pragma_wal_batch_interval_ms_set n -> Plan.Op_pragma_set_wal_batch_interval_ms { n } | Ast.Pragma_database_list -> Plan.Op_database_list | Ast.Pragma_active_database -> Plan.Op_active_database_get | Ast.Pragma_active_database_set s -> Plan.Op_active_database_set { schema = s } | _ -> Plan.Op_pragma_rows { rows = plan_pragma_rows cat kind } ;; let rec plan ?cat = function | Sema.BS_col_create_table { name; columns; if_not_exists } -> Plan.Op_col_create_table { name; columns; if_not_exists } | Sema.BS_create_table { name ; columns ; uniq_idxs ; if_not_exists ; fk_constraints ; without_rowid ; autoincrement } -> Plan.Op_create_table { name ; columns ; uniq_idxs ; if_not_exists ; fk_constraints ; without_rowid ; autoincrement } | Sema.BS_insert_select { table_meta; ordinals; source; on_conflict } -> Plan.Op_insert_select { table_meta; ordinals; source = plan ?cat source; on_conflict } | Sema.BS_insert { table_meta; ordinals; values; on_conflict; returning; upsert_update } -> plan_insert ~table_meta ~ordinals ~values ~on_conflict ~returning ~upsert_update | Sema.BS_select { distinct ; table_meta ; proj ; expr_proj ; where ; order ; limit ; offset ; joins ; group_by ; aggs ; having ; agg_proj ; windows ; agg_windows } -> (match cat with | Some cat -> plan_select cat ~table_meta ~proj ~expr_proj ~where ~order ~limit ~offset ~joins ~group_by ~aggs ~having ~agg_proj ~distinct ~windows ~agg_windows | None -> (* Backwards-compatible path: no catalog → no index lookup, and (for JOIN) no index-based NLJ. *) plan_select_no_cat ~table_meta ~proj ~expr_proj ~where ~order ~limit ~offset ~joins ~group_by ~aggs ~having ~agg_proj ~distinct ~windows ~agg_windows) | Sema.BS_create_index { name ; table_meta ; col_sqls ; col_expr_flags ; where_expr ; where_ast ; unique ; if_not_exists } -> plan_create_index ~name ~table_meta ~col_sqls ~col_expr_flags ~where_expr ~where_ast ~unique ~if_not_exists | Sema.BS_update { table_meta; assignments; where; order; limit; offset; returning } -> plan_update cat ~table_meta ~assignments ~where ~order ~limit ~offset ~returning | Sema.BS_delete { table_meta; where; order; limit; offset; returning } -> plan_delete cat ~table_meta ~where ~order ~limit ~offset ~returning | Sema.BS_seq_write (Sema.Seq_set { table; seq }) -> Plan.Op_seq_set { table; seq } | Sema.BS_seq_write (Sema.Seq_reset { table }) -> Plan.Op_seq_reset { table } | Sema.BS_drop_table { table_meta; _ } -> Plan.Op_drop_table { table_meta; indexes = indexes_of cat table_meta } | Sema.BS_drop_index { idx_info; _ } -> Plan.Op_drop_index { idx_info } | Sema.BS_alter_table { table_meta; action } -> Plan.Op_alter_table { table_meta; action } | Sema.BS_begin -> Plan.Op_begin | Sema.BS_commit -> Plan.Op_commit | Sema.BS_rollback -> Plan.Op_rollback | Sema.BS_savepoint name -> Plan.Op_savepoint name | Sema.BS_release name -> Plan.Op_release name | Sema.BS_rollback_to name -> Plan.Op_rollback_to name | Sema.BS_create_fts_table { name; columns } -> Plan.Op_create_fts_table { name; columns } | Sema.BS_fts_insert { fts_meta; col_names; col_values; rowid_value } -> Plan.Op_fts_insert { fts_meta ; col_names ; col_values = List.map plan_expr col_values ; rowid_value = Option.map plan_expr rowid_value } | Sema.BS_fts_delete { fts_meta; where } -> Plan.Op_fts_delete { fts_meta; where = Option.map plan_expr where } | Sema.BS_fts_seq_scan { fts_meta; where } -> Plan.Op_fts_seq_scan { fts_meta; where = Option.map plan_expr where } | Sema.BS_fts_match_scan { fts_meta; query; proj; include_rank; snippets } -> Plan.Op_fts_match_scan { fts_meta; query; proj; include_rank; snippets } | Sema.BS_compound { op; left; right; order; limit; offset } -> plan_compound ?cat ~op ~left ~right ~order ~limit ~offset () | Sema.BS_const_select { exprs } -> (match exprs with | [ (Sema.BE_func (Ast.Fn_changes, []), _) ] -> Plan.Op_changes | [ (Sema.BE_func (Ast.Fn_last_insert_rowid, []), _) ] -> Plan.Op_last_insert_rowid | [ (Sema.BE_func (Ast.Fn_total_changes, []), _) ] -> Plan.Op_total_changes | _ -> Plan.Op_const_select { exprs = List.map (fun (e, alias) -> plan_expr e, alias) exprs }) | Sema.BS_pragma { kind } -> plan_pragma cat kind | Sema.BS_with_cte { name; def; query; recursive } -> Plan.Op_with_cte { cte_name = name; def = plan ?cat def; query = plan ?cat query; recursive } | Sema.BS_create_view { name; query } -> Plan.Op_create_view { name; query } | Sema.BS_create_reactive_view { name; query; refresh } -> Plan.Op_create_reactive_view { name; query; refresh } | Sema.BS_drop_view { name } -> Plan.Op_drop_view { name } | Sema.BS_create_trigger { name; timing; event; table; when_; body } -> Plan.Op_create_trigger { name; timing; event; table; when_; body } | Sema.BS_drop_trigger { name } -> Plan.Op_drop_trigger { name } | Sema.BS_no_op -> Plan.Op_no_op | Sema.BS_explain { analyze; inner } -> Plan.Op_explain { analyze; inner = plan ?cat inner } | Sema.BS_vacuum -> Plan.Op_vacuum | Sema.BS_attach { path; schema } -> Plan.Op_attach { path; schema } | Sema.BS_detach { schema } -> Plan.Op_detach { schema } (* Plan a set operation (UNION/INTERSECT/EXCEPT), recursively planning each side, then applying ORDER BY / LIMIT. Part of [plan]'s recursive group. *) and plan_compound ?cat ~op ~left ~right ~order ~limit ~offset () = let l = plan ?cat left in let r = plan ?cat right in let base = match op with | Ast.Union -> Plan.Op_union { all = false; left = l; right = r } | Ast.Union_all -> Plan.Op_union { all = true; left = l; right = r } | Ast.Intersect -> Plan.Op_intersect { left = l; right = r } | Ast.Except -> Plan.Op_except { left = l; right = r } in let sorted = if order = [] then base else Plan.Op_sort { keys = plan_order_keys order; child = base } in match limit with | None -> sorted | Some n -> let off = Option.value ~default:0 offset in Plan.Op_limit { limit = n; offset = off; child = sorted } ;; [@@@ai_disclosure "ai-generated"] [@@@ai_model "claude-opus-4-7"] [@@@ai_provider "Anthropic"]
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