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|
structure Sqlcache :> SQLCACHE = struct
open Mono
structure IS = IntBinarySet
structure IM = IntBinaryMap
structure SK = struct type ord_key = string val compare = String.compare end
structure SS = BinarySetFn(SK)
structure SM = BinaryMapFn(SK)
structure SIMM = MultimapFn(structure KeyMap = SM structure ValSet = IS)
fun iterate f n x = if n < 0
then raise Fail "Can't iterate function negative number of times."
else if n = 0
then x
else iterate f (n-1) (f x)
(* Filled in by [cacheWrap] during [Sqlcache]. *)
val ffiInfo : {index : int, params : int} list ref = ref []
fun resetFfiInfo () = ffiInfo := []
fun getFfiInfo () = !ffiInfo
(* Some FFIs have writing as their only effect, which the caching records. *)
val ffiEffectful =
(* ASK: how can this be less hard-coded? *)
let
val okayWrites = SS.fromList ["htmlifyInt_w",
"htmlifyFloat_w",
"htmlifyString_w",
"htmlifyBool_w",
"htmlifyTime_w",
"attrifyInt_w",
"attrifyFloat_w",
"attrifyString_w",
"attrifyChar_w",
"urlifyInt_w",
"urlifyFloat_w",
"urlifyString_w",
"urlifyBool_w",
"urlifyChannel_w"]
in
fn (m, f) => Settings.isEffectful (m, f)
andalso not (m = "Basis" andalso SS.member (okayWrites, f))
end
val cache = ref LruCache.cache
fun setCache c = cache := c
fun getCache () = !cache
(* Used to have type context for local variables in MonoUtil functions. *)
val doBind =
fn (env, MonoUtil.Exp.RelE (s, t)) => MonoEnv.pushERel env s t NONE
| (env, _) => env
(*******************)
(* Effect Analysis *)
(*******************)
(* Makes an exception for [EWrite] (which is recorded when caching). *)
fun effectful (effs : IS.set) =
let
val isFunction =
fn (TFun _, _) => true
| _ => false
fun doExp (env, e) =
case e of
EPrim _ => false
(* For now: variables of function type might be effectful, but
others are fully evaluated and are therefore not effectful. *)
| ERel n => isFunction (#2 (MonoEnv.lookupERel env n))
| ENamed n => IS.member (effs, n)
| EFfi (m, f) => ffiEffectful (m, f)
| EFfiApp (m, f, _) => ffiEffectful (m, f)
(* These aren't effectful unless a subexpression is. *)
| ECon _ => false
| ENone _ => false
| ESome _ => false
| EApp _ => false
| EAbs _ => false
| EUnop _ => false
| EBinop _ => false
| ERecord _ => false
| EField _ => false
| ECase _ => false
| EStrcat _ => false
(* EWrite is a special exception because we record writes when caching. *)
| EWrite _ => false
| ESeq _ => false
| ELet _ => false
| EUnurlify _ => false
(* ASK: what should we do about closures? *)
(* Everything else is some sort of effect. We could flip this and
explicitly list bits of Mono that are effectful, but this is
conservatively robust to future changes (however unlikely). *)
| _ => true
in
MonoUtil.Exp.existsB {typ = fn _ => false, exp = doExp, bind = doBind}
end
(* TODO: test this. *)
fun effectfulDecls (decls, _) =
let
fun doVal ((_, name, _, e, _), effs) =
if effectful effs MonoEnv.empty e
then IS.add (effs, name)
else effs
val doDecl =
fn ((DVal v, _), effs) => doVal (v, effs)
(* Repeat the list of declarations a number of times equal to its size,
making sure effectfulness propagates everywhere it should. This is
analagous to the Bellman-Ford algorithm. *)
| ((DValRec vs, _), effs) =>
List.foldl doVal effs (List.concat (List.map (fn _ => vs) vs))
(* ASK: any other cases? *)
| (_, effs) => effs
in
List.foldl doDecl IS.empty decls
end
(*********************************)
(* Boolean Formula Normalization *)
(*********************************)
datatype junctionType = Conj | Disj
datatype 'atom formula =
Atom of 'atom
| Negate of 'atom formula
| Combo of junctionType * 'atom formula list
(* Guaranteed to have all negation pushed to the atoms. *)
datatype 'atom formula' =
Atom' of 'atom
| Combo' of junctionType * 'atom formula' list
val flipJt = fn Conj => Disj | Disj => Conj
fun concatMap f xs = List.concat (map f xs)
val rec cartesianProduct : 'a list list -> 'a list list =
fn [] => [[]]
| (xs :: xss) => concatMap (fn ys => concatMap (fn x => [x :: ys]) xs)
(cartesianProduct xss)
(* Pushes all negation to the atoms.*)
fun pushNegate (normalizeAtom : bool * 'atom -> 'atom) (negating : bool) =
fn Atom x => Atom' (normalizeAtom (negating, x))
| Negate f => pushNegate normalizeAtom (not negating) f
| Combo (j, fs) => Combo' (if negating then flipJt j else j,
map (pushNegate normalizeAtom negating) fs)
val rec flatten =
fn Combo' (_, [f]) => flatten f
| Combo' (j, fs) =>
Combo' (j, List.foldr (fn (f, acc) =>
case f of
Combo' (j', fs') =>
if j = j' orelse length fs' = 1
then fs' @ acc
else f :: acc
| _ => f :: acc)
[]
(map flatten fs))
| f => f
(* [simplify] operates on the desired normal form. E.g., if [junc] is [Disj],
consider the list of lists to be a disjunction of conjunctions. *)
fun normalize' (simplify : 'a list list -> 'a list list)
(junc : junctionType) =
let
fun norm junc =
simplify
o (fn Atom' x => [[x]]
| Combo' (j, fs) =>
let
val fss = map (norm junc) fs
in
if j = junc
then List.concat fss
else map List.concat (cartesianProduct fss)
end)
in
norm junc
end
fun normalize simplify normalizeAtom junc =
normalize' simplify junc
o flatten
o pushNegate normalizeAtom false
fun mapFormula mf =
fn Atom x => Atom (mf x)
| Negate f => Negate (mapFormula mf f)
| Combo (j, fs) => Combo (j, map (mapFormula mf) fs)
(****************)
(* SQL Analysis *)
(****************)
structure CmpKey = struct
type ord_key = Sql.cmp
val compare =
fn (Sql.Eq, Sql.Eq) => EQUAL
| (Sql.Eq, _) => LESS
| (_, Sql.Eq) => GREATER
| (Sql.Ne, Sql.Ne) => EQUAL
| (Sql.Ne, _) => LESS
| (_, Sql.Ne) => GREATER
| (Sql.Lt, Sql.Lt) => EQUAL
| (Sql.Lt, _) => LESS
| (_, Sql.Lt) => GREATER
| (Sql.Le, Sql.Le) => EQUAL
| (Sql.Le, _) => LESS
| (_, Sql.Le) => GREATER
| (Sql.Gt, Sql.Gt) => EQUAL
| (Sql.Gt, _) => LESS
| (_, Sql.Gt) => GREATER
| (Sql.Ge, Sql.Ge) => EQUAL
end
val rec chooseTwos : 'a list -> ('a * 'a) list =
fn [] => []
| x :: ys => map (fn y => (x, y)) ys @ chooseTwos ys
fun removeRedundant madeRedundantBy zs =
let
fun removeRedundant' (xs, ys) =
case xs of
[] => ys
| x :: xs' =>
removeRedundant' (xs',
if List.exists (fn y => madeRedundantBy (x, y)) (xs' @ ys)
then ys
else x :: ys)
in
removeRedundant' (zs, [])
end
datatype atomExp =
QueryArg of int
| DmlRel of int
| Prim of Prim.t
| Field of string * string
structure AtomExpKey : ORD_KEY = struct
type ord_key = atomExp
val compare =
fn (QueryArg n1, QueryArg n2) => Int.compare (n1, n2)
| (QueryArg _, _) => LESS
| (_, QueryArg _) => GREATER
| (DmlRel n1, DmlRel n2) => Int.compare (n1, n2)
| (DmlRel _, _) => LESS
| (_, DmlRel _) => GREATER
| (Prim p1, Prim p2) => Prim.compare (p1, p2)
| (Prim _, _) => LESS
| (_, Prim _) => GREATER
| (Field (t1, f1), Field (t2, f2)) =>
case String.compare (t1, t2) of
EQUAL => String.compare (f1, f2)
| ord => ord
end
structure AtomOptionKey = OptionKeyFn(AtomExpKey)
structure UF = UnionFindFn(AtomExpKey)
structure ConflictMaps = struct
structure TK = TripleKeyFn(structure I = CmpKey
structure J = AtomOptionKey
structure K = AtomOptionKey)
structure TS : ORD_SET = BinarySetFn(TK)
val toKnownEquality =
(* [NONE] here means unkown. Anything that isn't a comparison between two
knowns shouldn't be used, and simply dropping unused terms is okay in
disjunctive normal form. *)
fn (Sql.Eq, SOME e1, SOME e2) => SOME (e1, e2)
| _ => NONE
val equivClasses : (Sql.cmp * atomExp option * atomExp option) list -> atomExp list list =
UF.classes
o List.foldl UF.union' UF.empty
o List.mapPartial toKnownEquality
fun addToEqs (eqs, n, e) =
case IM.find (eqs, n) of
(* Comparing to a constant is probably better than comparing to a
variable? Checking that existing constants match a new ones is
handled by [accumulateEqs]. *)
SOME (Prim _) => eqs
| _ => IM.insert (eqs, n, e)
val accumulateEqs =
(* [NONE] means we have a contradiction. *)
fn (_, NONE) => NONE
| ((Prim p1, Prim p2), eqso) =>
(case Prim.compare (p1, p2) of
EQUAL => eqso
| _ => NONE)
| ((QueryArg n, Prim p), SOME eqs) => SOME (addToEqs (eqs, n, Prim p))
| ((QueryArg n, DmlRel r), SOME eqs) => SOME (addToEqs (eqs, n, DmlRel r))
| ((Prim p, QueryArg n), SOME eqs) => SOME (addToEqs (eqs, n, Prim p))
| ((DmlRel r, QueryArg n), SOME eqs) => SOME (addToEqs (eqs, n, DmlRel r))
(* TODO: deal with equalities between [DmlRel]s and [Prim]s.
This would involve guarding the invalidation with a check for the
relevant comparisons. *)
| (_, eqso) => eqso
val eqsOfClass : atomExp list -> atomExp IM.map option =
List.foldl accumulateEqs (SOME IM.empty)
o chooseTwos
fun toAtomExps rel (cmp, e1, e2) =
let
val qa =
(* Here [NONE] means unkown. *)
fn Sql.SqConst p => SOME (Prim p)
| Sql.Field tf => SOME (Field tf)
| Sql.Inj (EPrim p, _) => SOME (Prim p)
| Sql.Inj (ERel n, _) => SOME (rel n)
(* We can't deal with anything else, e.g., CURRENT_TIMESTAMP
becomes Sql.Unmodeled, which becomes NONE here. *)
| _ => NONE
in
(cmp, qa e1, qa e2)
end
val negateCmp =
fn Sql.Eq => Sql.Ne
| Sql.Ne => Sql.Eq
| Sql.Lt => Sql.Ge
| Sql.Le => Sql.Gt
| Sql.Gt => Sql.Le
| Sql.Ge => Sql.Lt
fun normalizeAtom (negating, (cmp, e1, e2)) =
(* Restricting to Le/Lt and sorting the expressions in Eq/Ne helps with
simplification, where we put the triples in sets. *)
case (if negating then negateCmp cmp else cmp) of
Sql.Eq => (case AtomOptionKey.compare (e1, e2) of
LESS => (Sql.Eq, e2, e1)
| _ => (Sql.Eq, e1, e2))
| Sql.Ne => (case AtomOptionKey.compare (e1, e2) of
LESS => (Sql.Ne, e2, e1)
| _ => (Sql.Ne, e1, e2))
| Sql.Lt => (Sql.Lt, e1, e2)
| Sql.Le => (Sql.Le, e1, e2)
| Sql.Gt => (Sql.Lt, e2, e1)
| Sql.Ge => (Sql.Le, e2, e1)
val markQuery : (Sql.cmp * Sql.sqexp * Sql.sqexp) formula ->
(Sql.cmp * atomExp option * atomExp option) formula =
mapFormula (toAtomExps QueryArg)
val markDml : (Sql.cmp * Sql.sqexp * Sql.sqexp) formula ->
(Sql.cmp * atomExp option * atomExp option) formula =
mapFormula (toAtomExps DmlRel)
(* No eqs should have key conflicts because no variable is in two
equivalence classes, so the [#1] could be [#2]. *)
val mergeEqs : (atomExp IntBinaryMap.map option list
-> atomExp IntBinaryMap.map option) =
List.foldr (fn (SOME eqs, SOME acc) => SOME (IM.unionWith #1 (eqs, acc)) | _ => NONE)
(SOME IM.empty)
val simplify =
map TS.listItems
o removeRedundant (fn (x, y) => TS.isSubset (y, x))
o map (fn xs => TS.addList (TS.empty, xs))
fun dnf (fQuery, fDml) =
normalize simplify normalizeAtom Disj (Combo (Conj, [markQuery fQuery, markDml fDml]))
val conflictMaps = List.mapPartial (mergeEqs o map eqsOfClass o equivClasses) o dnf
end
val conflictMaps = ConflictMaps.conflictMaps
val rec sqexpToFormula =
fn Sql.SqTrue => Combo (Conj, [])
| Sql.SqFalse => Combo (Disj, [])
| Sql.SqNot e => Negate (sqexpToFormula e)
| Sql.Binop (Sql.RCmp c, e1, e2) => Atom (c, e1, e2)
| Sql.Binop (Sql.RLop l, p1, p2) => Combo (case l of Sql.And => Conj | Sql.Or => Disj,
[sqexpToFormula p1, sqexpToFormula p2])
(* ASK: any other sqexps that can be props? *)
| _ => raise Match
fun renameTables tablePairs =
let
fun renameString table =
case List.find (fn (_, t) => table = t) tablePairs of
NONE => table
| SOME (realTable, _) => realTable
val renameSqexp =
fn Sql.Field (table, field) => Sql.Field (renameString table, field)
| e => e
fun renameAtom (cmp, e1, e2) = (cmp, renameSqexp e1, renameSqexp e2)
in
mapFormula renameAtom
end
val rec queryToFormula =
fn Sql.Query1 {Where = NONE, ...} => Combo (Conj, [])
| Sql.Query1 {From = tablePairs, Where = SOME e, ...} =>
renameTables tablePairs (sqexpToFormula e)
| Sql.Union (q1, q2) => Combo (Disj, [queryToFormula q1, queryToFormula q2])
fun valsToFormula (table, vals) =
Combo (Conj, map (fn (field, v) => Atom (Sql.Eq, Sql.Field (table, field), v)) vals)
val rec dmlToFormula =
fn Sql.Insert (table, vals) => valsToFormula (table, vals)
| Sql.Delete (table, wher) => renameTables [(table, "T")] (sqexpToFormula wher)
| Sql.Update (table, vals, wher) =>
let
val fWhere = sqexpToFormula wher
val fVals = valsToFormula (table, vals)
val modifiedFields = SS.addList (SS.empty, map #1 vals)
(* TODO: don't use field name hack. *)
val markField =
fn e as Sql.Field (t, v) => if SS.member (modifiedFields, v)
then Sql.Field (t, v ^ "'")
else e
| e => e
val mark = mapFormula (fn (cmp, e1, e2) => (cmp, markField e1, markField e2))
in
renameTables [(table, "T")]
(Combo (Disj, [Combo (Conj, [fVals, mark fWhere]),
Combo (Conj, [mark fVals, fWhere])]))
end
val rec tablesQuery =
fn Sql.Query1 {From = tablePairs, ...} => SS.fromList (map #1 tablePairs)
| Sql.Union (q1, q2) => SS.union (tablesQuery q1, tablesQuery q2)
val tableDml =
fn Sql.Insert (tab, _) => tab
| Sql.Delete (tab, _) => tab
| Sql.Update (tab, _, _) => tab
(***************************)
(* Program Instrumentation *)
(***************************)
val varName =
let
val varNumber = ref 0
in
fn s => (varNumber := !varNumber + 1; s ^ Int.toString (!varNumber))
end
val {check, store, flush, ...} = getCache ()
val dummyLoc = ErrorMsg.dummySpan
val dummyTyp = (TRecord [], dummyLoc)
fun stringExp s = (EPrim (Prim.String (Prim.Normal, s)), dummyLoc)
val stringTyp = (TFfi ("Basis", "string"), dummyLoc)
val sequence =
fn (exp :: exps) =>
let
val loc = dummyLoc
in
List.foldl (fn (e', seq) => ESeq ((seq, loc), (e', loc))) exp exps
end
| _ => raise Match
(* Always increments negative indices as a hack we use later. *)
fun incRels inc =
MonoUtil.Exp.mapB
{typ = fn t' => t',
exp = fn bound =>
(fn ERel n => ERel (if n >= bound orelse n < 0 then n + inc else n)
| e' => e'),
bind = fn (bound, MonoUtil.Exp.RelE _) => bound + 1 | (bound, _) => bound}
0
fun cacheWrap (env, exp, resultTyp, args, i) =
let
val loc = dummyLoc
val rel0 = (ERel 0, loc)
in
case MonoFooify.urlify env (rel0, resultTyp) of
NONE => NONE
| SOME urlified =>
let
val () = ffiInfo := {index = i, params = length args} :: !ffiInfo
(* We ensure before this step that all arguments aren't effectful.
by turning them into local variables as needed. *)
val argsInc = map (incRels 1) args
val check = (check (i, args), loc)
val store = (store (i, argsInc, urlified), loc)
in
SOME (ECase
(check,
[((PNone stringTyp, loc),
(ELet (varName "q", resultTyp, exp, (ESeq (store, rel0), loc)), loc)),
((PSome (stringTyp, (PVar (varName "hit", stringTyp), loc)), loc),
(* Boolean is false because we're not unurlifying from a cookie. *)
(EUnurlify (rel0, resultTyp, false), loc))],
{disc = (TOption stringTyp, loc), result = resultTyp}))
end
end
fun fileMapfoldB doExp file start =
case MonoUtil.File.mapfoldB
{typ = Search.return2,
exp = fn env => fn e' => fn s => Search.Continue (doExp env e' s),
decl = fn _ => Search.return2,
bind = doBind}
MonoEnv.empty file start of
Search.Continue x => x
| Search.Return _ => raise Match
fun fileMap doExp file = #1 (fileMapfoldB (fn _ => fn e => fn _ => (doExp e, ())) file ())
fun factorOutNontrivial text =
let
val loc = dummyLoc
fun strcat (e1, e2) = (EStrcat (e1, e2), loc)
val chunks = Sql.chunkify text
val (newText, newVariables) =
(* Important that this is foldr (to oppose foldl below). *)
List.foldr
(fn (chunk, (qText, newVars)) =>
(* Variable bound to the head of newBs will have the lowest index. *)
case chunk of
Sql.Exp (e as (EPrim _, _)) => (strcat (e, qText), newVars)
| Sql.Exp e =>
let
val n = length newVars
in
(* This is the (n+1)th new variable, so there are
already n new variables bound, so we increment
indices by n. *)
(strcat ((ERel (~(n+1)), loc), qText), incRels n e :: newVars)
end
| Sql.String s => (strcat (stringExp s, qText), newVars))
(stringExp "", [])
chunks
fun wrapLets e' =
(* Important that this is foldl (to oppose foldr above). *)
List.foldl (fn (v, e') => ELet (varName "sqlArg", stringTyp, v, (e', loc)))
e'
newVariables
val numArgs = length newVariables
in
(newText, wrapLets, numArgs)
end
fun addChecking file =
let
val effs = effectfulDecls file
fun doExp env (queryInfo as (tableToIndices, indexToQueryNumArgs, index)) =
fn e' as EQuery {query = origQueryText,
state = resultTyp,
initial, body, tables, exps} =>
let
val (newQueryText, wrapLets, numArgs) = factorOutNontrivial origQueryText
(* Increment once for each new variable just made. *)
val queryExp = incRels numArgs
(EQuery {query = newQueryText,
state = resultTyp,
initial = initial,
body = body,
tables = tables,
exps = exps},
dummyLoc)
val (EQuery {query = queryText, ...}, _) = queryExp
(* DEBUG *)
(* val () = Print.preface ("sqlcache> ", MonoPrint.p_exp MonoEnv.empty queryText) *)
val args = List.tabulate (numArgs, fn n => (ERel n, dummyLoc))
fun bind x f = Option.mapPartial f x
fun guard b x = if b then x else NONE
(* We use dummyTyp here. I think this is okay because databases
don't store (effectful) functions, but perhaps there's some
pathalogical corner case missing.... *)
fun safe bound =
not
o effectful effs
(iterate (fn env => MonoEnv.pushERel env "_" dummyTyp NONE)
bound
env)
val attempt =
(* Ziv misses Haskell's do notation.... *)
guard (safe 0 queryText andalso safe 0 initial andalso safe 2 body) (
bind (Sql.parse Sql.query queryText) (fn queryParsed =>
bind (cacheWrap (env, queryExp, resultTyp, args, index)) (fn cachedExp =>
SOME (wrapLets cachedExp,
(SS.foldr (fn (tab, qi) => SIMM.insert (qi, tab, index))
tableToIndices
(tablesQuery queryParsed),
IM.insert (indexToQueryNumArgs, index, (queryParsed, numArgs)),
index + 1)))))
in
case attempt of
SOME pair => pair
| NONE => (e', queryInfo)
end
| e' => (e', queryInfo)
in
(fileMapfoldB (fn env => fn exp => fn state => doExp env state exp)
file
(SIMM.empty, IM.empty, 0),
effs)
end
structure Invalidations = struct
val loc = dummyLoc
val optionAtomExpToExp =
fn NONE => (ENone stringTyp, loc)
| SOME e => (ESome (stringTyp,
(case e of
DmlRel n => ERel n
| Prim p => EPrim p
(* TODO: make new type containing only these two. *)
| _ => raise Match,
loc)),
loc)
fun eqsToInvalidation numArgs eqs =
let
fun inv n = if n < 0 then [] else IM.find (eqs, n) :: inv (n - 1)
in
inv (numArgs - 1)
end
(* Tests if [ys] makes [xs] a redundant cache invalidation. [NONE] here
represents unknown, which means a wider invalidation. *)
val rec madeRedundantBy : atomExp option list * atomExp option list -> bool =
fn ([], []) => true
| (_ :: xs, NONE :: ys) => madeRedundantBy (xs, ys)
| (SOME x :: xs, SOME y :: ys) => (case AtomExpKey.compare (x, y) of
EQUAL => madeRedundantBy (xs, ys)
| _ => false)
| _ => false
fun eqss (query, dml) = conflictMaps (queryToFormula query, dmlToFormula dml)
fun invalidations ((query, numArgs), dml) =
(map (map optionAtomExpToExp)
o removeRedundant madeRedundantBy
o map (eqsToInvalidation numArgs)
o eqss)
(query, dml)
end
val invalidations = Invalidations.invalidations
(* DEBUG *)
val gunk : ((Sql.query * int) * Sql.dml) list ref = ref []
fun addFlushing ((file, (tableToIndices, indexToQueryNumArgs, index)), effs) =
let
val flushes = List.concat
o map (fn (i, argss) => map (fn args => flush (i, args)) argss)
val doExp =
fn EDml (origDmlText, failureMode) =>
let
val (newDmlText, wrapLets, numArgs) = factorOutNontrivial origDmlText
val dmlText = incRels numArgs newDmlText
val dmlExp = EDml (dmlText, failureMode)
(* DEBUG *)
(* val () = Print.preface ("sqlcache> ", (MonoPrint.p_exp MonoEnv.empty dmlText)) *)
val invs =
case Sql.parse Sql.dml dmlText of
SOME dmlParsed =>
map (fn i => (case IM.find (indexToQueryNumArgs, i) of
SOME queryNumArgs =>
(* DEBUG *)
(gunk := (queryNumArgs, dmlParsed) :: !gunk;
(i, invalidations (queryNumArgs, dmlParsed)))
(* TODO: fail more gracefully. *)
| NONE => raise Match))
(SIMM.findList (tableToIndices, tableDml dmlParsed))
(* TODO: fail more gracefully. *)
| NONE => raise Match
in
wrapLets (sequence (flushes invs @ [dmlExp]))
end
| e' => e'
in
(* DEBUG *)
gunk := [];
(fileMap doExp file, index, effs)
end
val inlineSql =
let
val doExp =
(* TODO: EQuery, too? *)
(* ASK: should this live in [MonoOpt]? *)
fn EDml ((ECase (disc, cases, {disc = dTyp, ...}), loc), failureMode) =>
let
val newCases = map (fn (p, e) => (p, (EDml (e, failureMode), loc))) cases
in
ECase (disc, newCases, {disc = dTyp, result = (TRecord [], loc)})
end
| e => e
in
fileMap doExp
end
(**********************)
(* Mono Type Checking *)
(**********************)
fun typOfExp' (env : MonoEnv.env) : exp' -> typ option =
fn EPrim p => SOME (TFfi ("Basis", case p of
Prim.Int _ => "int"
| Prim.Float _ => "double"
| Prim.String _ => "string"
| Prim.Char _ => "char"),
dummyLoc)
| ERel n => SOME (#2 (MonoEnv.lookupERel env n))
| ENamed n => SOME (#2 (MonoEnv.lookupENamed env n))
(* ASK: okay to make a new [ref] each time? *)
| ECon (dk, PConVar nCon, _) =>
let
val (_, _, nData) = MonoEnv.lookupConstructor env nCon
val (_, cs) = MonoEnv.lookupDatatype env nData
in
SOME (TDatatype (nData, ref (dk, cs)), dummyLoc)
end
| ECon (_, PConFfi {mod = s, datatyp, ...}, _) => SOME (TFfi (s, datatyp), dummyLoc)
| ENone t => SOME (TOption t, dummyLoc)
| ESome (t, _) => SOME (TOption t, dummyLoc)
| EFfi _ => NONE
| EFfiApp _ => NONE
| EApp (e1, e2) => (case typOfExp env e1 of
SOME (TFun (_, t), _) => SOME t
| _ => NONE)
| EAbs (_, t1, t2, _) => SOME (TFun (t1, t2), dummyLoc)
(* ASK: is this right? *)
| EUnop (unop, e) => (case unop of
"!" => SOME (TFfi ("Basis", "bool"), dummyLoc)
| "-" => typOfExp env e
| _ => NONE)
(* ASK: how should this (and other "=> NONE" cases) work? *)
| EBinop _ => NONE
| ERecord fields => SOME (TRecord (map (fn (s, _, t) => (s, t)) fields), dummyLoc)
| EField (e, s) => (case typOfExp env e of
SOME (TRecord fields, _) =>
(case List.find (fn (s', _) => s = s') fields of
SOME (_, t) => SOME t
| _ => NONE)
| _ => NONE)
| ECase (_, _, {result, ...}) => SOME result
| EStrcat _ => SOME (TFfi ("Basis", "string"), dummyLoc)
| EWrite _ => SOME (TRecord [], dummyLoc)
| ESeq (_, e) => typOfExp env e
| ELet (s, t, e1, e2) => typOfExp (MonoEnv.pushERel env s t (SOME e1)) e2
| EClosure _ => NONE
| EUnurlify (_, t, _) => SOME t
| _ => NONE
and typOfExp env (e', loc) = typOfExp' env e'
(*******************************)
(* Caching Pure Subexpressions *)
(*******************************)
val freeVars =
IS.listItems
o MonoUtil.Exp.foldB
{typ = #2,
exp = fn (bound, ERel n, vars) => if n < bound
then vars
else IS.add (vars, n - bound)
| (_, _, vars) => vars,
bind = fn (bound, MonoUtil.Exp.RelE _) => bound + 1 | (bound, _) => bound}
0
IS.empty
val expSize = MonoUtil.Exp.fold {typ = #2, exp = fn (_, n) => n+1} 0
datatype subexp = Pure of unit -> exp | Impure of exp
val isImpure =
fn Pure _ => false
| Impure _ => true
val expOfSubexp =
fn Pure f => f ()
| Impure e => e
fun makeCache (env, exp', index) =
case typOfExp' env exp' of
NONE => NONE
| SOME (TFun _, _) => NONE
| SOME typ =>
if expSize (exp', dummyLoc) < 5 (* TODO: pick a number. *)
then NONE
else case List.foldr (fn ((_, _), NONE) => NONE
| ((n, typ), SOME args) =>
case MonoFooify.urlify env ((ERel n, dummyLoc), typ) of
NONE => NONE
| SOME arg => SOME (arg :: args))
(SOME [])
(map (fn n => (n, #2 (MonoEnv.lookupERel env n)))
(freeVars (exp', dummyLoc))) of
NONE => NONE
| SOME args => cacheWrap (env, (exp', dummyLoc), typ, args, index)
fun pureCache (effs : IS.set) ((env, exp as (exp', loc)), index) : subexp * int =
let
fun wrapBindN f (args : (MonoEnv.env * exp) list) =
let
val (subexps, index) = ListUtil.foldlMap (pureCache effs) index args
fun mkExp () = (f (map expOfSubexp subexps), loc)
in
if List.exists isImpure subexps
then (Impure (mkExp ()), index)
else (Pure (fn () => case makeCache (env, f (map #2 args), index) of
NONE => mkExp ()
| SOME e' => (e', loc)),
(* Conservatively increment index. *)
index + 1)
end
fun wrapBind1 f arg =
wrapBindN (fn [arg] => f arg | _ => raise Match) [arg]
fun wrapBind2 f (arg1, arg2) =
wrapBindN (fn [arg1, arg2] => f (arg1, arg2) | _ => raise Match) [arg1, arg2]
fun wrapN f es = wrapBindN f (map (fn e => (env, e)) es)
fun wrap1 f e = wrapBind1 f (env, e)
fun wrap2 f (e1, e2) = wrapBind2 f ((env, e1), (env, e2))
in
case exp' of
ECon (dk, pc, SOME e) => wrap1 (fn e => ECon (dk, pc, SOME e)) e
| ESome (t, e) => wrap1 (fn e => ESome (t, e)) e
| EFfiApp (s1, s2, args) =>
if ffiEffectful (s1, s2)
then (Impure exp, index)
else wrapN (fn es =>
EFfiApp (s1, s2, ListPair.map (fn (e, (_, t)) => (e, t)) (es, args)))
(map #1 args)
| EApp (e1, e2) => wrap2 EApp (e1, e2)
| EAbs (s, t1, t2, e) =>
wrapBind1 (fn e => EAbs (s, t1, t2, e))
(MonoEnv.pushERel env s t1 NONE, e)
| EUnop (s, e) => wrap1 (fn e => EUnop (s, e)) e
| EBinop (bi, s, e1, e2) => wrap2 (fn (e1, e2) => EBinop (bi, s, e1, e2)) (e1, e2)
| ERecord fields =>
wrapN (fn es => ERecord (ListPair.map (fn (e, (s, _, t)) => (s, e, t)) (es, fields)))
(map #2 fields)
| EField (e, s) => wrap1 (fn e => EField (e, s)) e
| ECase (e, cases, {disc, result}) =>
wrapBindN (fn (e::es) =>
ECase (e,
(ListPair.map (fn (e, (p, _)) => (p, e)) (es, cases)),
{disc = disc, result = result})
| _ => raise Match)
((env, e) :: map (fn (p, e) => (MonoEnv.patBinds env p, e)) cases)
| EStrcat (e1, e2) => wrap2 EStrcat (e1, e2)
(* We record page writes, so they're cachable. *)
| EWrite e => wrap1 EWrite e
| ESeq (e1, e2) => wrap2 ESeq (e1, e2)
| ELet (s, t, e1, e2) =>
wrapBind2 (fn (e1, e2) => ELet (s, t, e1, e2))
((env, e1), (MonoEnv.pushERel env s t (SOME e1), e2))
(* ASK: | EClosure (n, es) => ? *)
| EUnurlify (e, t, b) => wrap1 (fn e => EUnurlify (e, t, b)) e
| _ => if effectful effs env exp
then (Impure exp, index)
else (Pure (fn () => (case makeCache (env, exp', index) of
NONE => exp'
| SOME e' => e',
loc)),
index + 1)
end
fun addPure ((decls, sideInfo), index, effs) =
let
fun doVal ((x, n, t, exp, s), index) =
let
val (subexp, index) = pureCache effs ((MonoEnv.empty, exp), index)
in
((x, n, t, expOfSubexp subexp, s), index)
end
fun doDecl' (decl', index) =
case decl' of
DVal v =>
let
val (v, index) = (doVal (v, index))
in
(DVal v, index)
end
| DValRec vs =>
let
val (vs, index) = ListUtil.foldlMap doVal index vs
in
(DValRec vs, index)
end
| _ => (decl', index)
fun doDecl ((decl', loc), index) =
let
val (decl', index) = doDecl' (decl', index)
in
((decl', loc), index)
end
val decls = #1 (ListUtil.foldlMap doDecl index decls)
(* Important that this happens after the MonoFooify.urlify calls! *)
val fmDecls = MonoFooify.getNewFmDecls ()
in
(* ASK: fmDecls before or after? *)
(fmDecls @ decls, sideInfo)
end
val go' = addPure o addFlushing o addChecking o inlineSql
fun go file =
let
(* TODO: do something nicer than [Sql] being in one of two modes. *)
val () = (resetFfiInfo (); Sql.sqlcacheMode := true)
val file' = go' file
val () = Sql.sqlcacheMode := false
in
file'
end
end
|