Implement fulltext. (#477) r=nalexander
This commit is contained in:
commit
dd39f6df5b
19 changed files with 1475 additions and 567 deletions
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@ -57,3 +57,32 @@ impl<T> OptionEffect<T> for Option<T> {
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self
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self
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}
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}
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}
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}
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#[derive(Clone, Debug, Eq, Hash, Ord, PartialOrd, PartialEq)]
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pub enum Either<L, R> {
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Left(L),
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Right(R),
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}
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// Cribbed from https://github.com/bluss/either/blob/f793721f3fdeb694f009e731b23a2858286bc0d6/src/lib.rs#L219-L259.
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impl<L, R> Either<L, R> {
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pub fn map_left<F, M>(self, f: F) -> Either<M, R>
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where F: FnOnce(L) -> M
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{
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use self::Either::*;
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match self {
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Left(l) => Left(f(l)),
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Right(r) => Right(r),
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}
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}
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pub fn map_right<F, S>(self, f: F) -> Either<L, S>
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where F: FnOnce(R) -> S
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{
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use self::Either::*;
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match self {
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Left(l) => Left(l),
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Right(r) => Right(f(r)),
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}
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}
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}
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@ -15,6 +15,8 @@
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use std::collections::HashMap;
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use std::collections::HashMap;
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use std::rc::Rc;
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use std::rc::Rc;
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use mentat_core::util::Either;
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use errors;
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use errors;
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use errors::ErrorKind;
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use errors::ErrorKind;
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use types::{
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use types::{
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@ -33,33 +35,6 @@ pub enum Term<E, V> {
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AddOrRetract(OpType, E, Entid, V),
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AddOrRetract(OpType, E, Entid, V),
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}
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}
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#[derive(Clone, Debug, Eq, Hash, Ord, PartialOrd, PartialEq)]
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pub enum Either<L, R> {
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Left(L),
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Right(R),
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}
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// Cribbed from https://github.com/bluss/either/blob/f793721f3fdeb694f009e731b23a2858286bc0d6/src/lib.rs#L219-L259.
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impl<L, R> Either<L, R> {
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pub fn map_left<F, M>(self, f: F) -> Either<M, R>
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where F: FnOnce(L) -> M
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{
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match self {
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Left(l) => Left(f(l)),
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Right(r) => Right(r),
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}
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}
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pub fn map_right<F, S>(self, f: F) -> Either<L, S>
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where F: FnOnce(R) -> S
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{
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match self {
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Left(l) => Left(l),
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Right(r) => Right(f(r)),
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}
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}
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}
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use self::Either::*;
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use self::Either::*;
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/// An entid that's either already in the store, or newly allocated to a tempid.
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/// An entid that's either already in the store, or newly allocated to a tempid.
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@ -64,7 +64,6 @@ use edn::{
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use entids;
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use entids;
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use errors::{ErrorKind, Result};
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use errors::{ErrorKind, Result};
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use internal_types::{
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use internal_types::{
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Either,
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KnownEntid,
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KnownEntid,
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KnownEntidOr,
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KnownEntidOr,
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LookupRef,
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LookupRef,
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@ -76,7 +75,10 @@ use internal_types::{
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TermWithTempIdsAndLookupRefs,
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TermWithTempIdsAndLookupRefs,
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TermWithoutTempIds,
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TermWithoutTempIds,
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TypedValueOr,
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TypedValueOr,
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replace_lookup_ref};
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replace_lookup_ref,
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};
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use mentat_core::util::Either;
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use mentat_core::{
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use mentat_core::{
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DateTime,
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DateTime,
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@ -28,7 +28,9 @@ use internal_types::{
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TermWithoutTempIds,
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TermWithoutTempIds,
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TermWithTempIds,
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TermWithTempIds,
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};
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};
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use internal_types::Either::*;
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use mentat_core::util::Either::*;
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use mentat_core::{
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use mentat_core::{
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attribute,
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attribute,
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Attribute,
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Attribute,
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185
query-algebrizer/src/clauses/convert.rs
Normal file
185
query-algebrizer/src/clauses/convert.rs
Normal file
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@ -0,0 +1,185 @@
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// Copyright 2016 Mozilla
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//
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// Licensed under the Apache License, Version 2.0 (the "License"); you may not use
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// this file except in compliance with the License. You may obtain a copy of the
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// License at http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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use std::rc::Rc;
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use mentat_core::{
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Schema,
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SQLValueType,
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TypedValue,
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ValueType,
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};
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use mentat_query::{
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FnArg,
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NonIntegerConstant,
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Variable,
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};
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use clauses::{
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ConjoiningClauses,
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};
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use errors::{
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ErrorKind,
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Result,
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};
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use types::{
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EmptyBecause,
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ValueTypeSet,
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};
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macro_rules! coerce_to_typed_value {
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($var: ident, $val: ident, $types: expr, $type: path, $constructor: path) => { {
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Ok(if !$types.contains($type) {
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Impossible(EmptyBecause::TypeMismatch {
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var: $var.clone(),
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existing: $types,
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desired: ValueTypeSet::of_one($type),
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})
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} else {
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Val($constructor($val).into())
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})
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} }
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}
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pub enum ValueConversion {
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Val(TypedValue),
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Impossible(EmptyBecause),
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}
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/// Conversion of FnArgs to TypedValues.
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impl ConjoiningClauses {
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/// Convert the provided `FnArg` to a `TypedValue`.
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/// The conversion depends on, and can fail because of:
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/// - Existing known types of a variable to which this arg will be bound.
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/// - Existing bindings of a variable `FnArg`.
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pub fn typed_value_from_arg<'s>(&self, schema: &'s Schema, var: &Variable, arg: FnArg, known_types: ValueTypeSet) -> Result<ValueConversion> {
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use self::ValueConversion::*;
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if known_types.is_empty() {
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// If this happens, it likely means the pattern has already failed!
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return Ok(Impossible(EmptyBecause::TypeMismatch {
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var: var.clone(),
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existing: known_types,
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desired: ValueTypeSet::any(),
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}));
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}
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match arg {
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// Longs are potentially ambiguous: they might be longs or entids.
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FnArg::EntidOrInteger(x) => {
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match (ValueType::Ref.accommodates_integer(x),
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known_types.contains(ValueType::Ref),
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known_types.contains(ValueType::Long)) {
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(true, true, true) => {
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// Ambiguous: this arg could be an entid or a long.
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// We default to long.
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Ok(Val(TypedValue::Long(x)))
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},
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(true, true, false) => {
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// This can only be a ref.
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Ok(Val(TypedValue::Ref(x)))
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},
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(_, false, true) => {
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// This can only be a long.
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Ok(Val(TypedValue::Long(x)))
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},
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(false, true, _) => {
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// This isn't a valid ref, but that's the type to which this must conform!
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Ok(Impossible(EmptyBecause::TypeMismatch {
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var: var.clone(),
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existing: known_types,
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desired: ValueTypeSet::of_longs(),
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}))
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},
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(_, false, false) => {
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// Non-overlapping type sets.
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Ok(Impossible(EmptyBecause::TypeMismatch {
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var: var.clone(),
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existing: known_types,
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desired: ValueTypeSet::of_longs(),
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}))
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},
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}
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},
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// If you definitely want to look up an ident, do it before running the query.
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FnArg::IdentOrKeyword(x) => {
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match (known_types.contains(ValueType::Ref),
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known_types.contains(ValueType::Keyword)) {
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(true, true) => {
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// Ambiguous: this could be a keyword or an ident.
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// Default to keyword.
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Ok(Val(TypedValue::Keyword(Rc::new(x))))
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},
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(true, false) => {
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// This can only be an ident. Look it up!
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match schema.get_entid(&x).map(TypedValue::Ref) {
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Some(e) => Ok(Val(e)),
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None => Ok(Impossible(EmptyBecause::UnresolvedIdent(x.clone()))),
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}
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},
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(false, true) => {
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Ok(Val(TypedValue::Keyword(Rc::new(x))))
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},
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(false, false) => {
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Ok(Impossible(EmptyBecause::TypeMismatch {
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var: var.clone(),
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existing: known_types,
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desired: ValueTypeSet::of_keywords(),
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}))
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},
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}
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},
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FnArg::Variable(in_var) => {
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// TODO: technically you could ground an existing variable inside the query….
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if !self.input_variables.contains(&in_var) {
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bail!(ErrorKind::UnboundVariable((*in_var.0).clone()));
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}
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match self.bound_value(&in_var) {
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// The type is already known if it's a bound variable….
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Some(ref in_value) => Ok(Val(in_value.clone())),
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None => {
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// The variable is present in `:in`, but it hasn't yet been provided.
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// This is a restriction we will eventually relax: we don't yet have a way
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// to collect variables as part of a computed table or substitution.
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bail!(ErrorKind::UnboundVariable((*in_var.0).clone()))
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},
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}
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},
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// This isn't implemented yet.
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FnArg::Constant(NonIntegerConstant::BigInteger(_)) => unimplemented!(),
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// These don't make sense here.
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FnArg::Vector(_) |
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FnArg::SrcVar(_) => bail!(ErrorKind::InvalidGroundConstant),
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// These are all straightforward.
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FnArg::Constant(NonIntegerConstant::Boolean(x)) => {
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coerce_to_typed_value!(var, x, known_types, ValueType::Boolean, TypedValue::Boolean)
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},
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FnArg::Constant(NonIntegerConstant::Instant(x)) => {
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coerce_to_typed_value!(var, x, known_types, ValueType::Instant, TypedValue::Instant)
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},
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FnArg::Constant(NonIntegerConstant::Uuid(x)) => {
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coerce_to_typed_value!(var, x, known_types, ValueType::Uuid, TypedValue::Uuid)
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},
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FnArg::Constant(NonIntegerConstant::Float(x)) => {
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coerce_to_typed_value!(var, x, known_types, ValueType::Double, TypedValue::Double)
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},
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FnArg::Constant(NonIntegerConstant::Text(x)) => {
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coerce_to_typed_value!(var, x, known_types, ValueType::String, TypedValue::String)
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},
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}
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}
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}
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348
query-algebrizer/src/clauses/fulltext.rs
Normal file
348
query-algebrizer/src/clauses/fulltext.rs
Normal file
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@ -0,0 +1,348 @@
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// Copyright 2016 Mozilla
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|
//
|
||||||
|
// 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 mentat_core::{
|
||||||
|
Schema,
|
||||||
|
TypedValue,
|
||||||
|
ValueType,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query::{
|
||||||
|
Binding,
|
||||||
|
FnArg,
|
||||||
|
NonIntegerConstant,
|
||||||
|
SrcVar,
|
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|
VariableOrPlaceholder,
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||||||
|
WhereFn,
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||||||
|
};
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|
|
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use clauses::{
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||||||
|
ConjoiningClauses,
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||||||
|
};
|
||||||
|
|
||||||
|
use errors::{
|
||||||
|
BindingError,
|
||||||
|
ErrorKind,
|
||||||
|
Result,
|
||||||
|
};
|
||||||
|
|
||||||
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use types::{
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||||||
|
Column,
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||||||
|
ColumnConstraint,
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||||||
|
DatomsColumn,
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||||||
|
DatomsTable,
|
||||||
|
EmptyBecause,
|
||||||
|
FulltextColumn,
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||||||
|
QualifiedAlias,
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||||||
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QueryValue,
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||||||
|
SourceAlias,
|
||||||
|
};
|
||||||
|
|
||||||
|
impl ConjoiningClauses {
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||||||
|
#[allow(unused_variables)]
|
||||||
|
pub fn apply_fulltext<'s>(&mut self, schema: &'s Schema, where_fn: WhereFn) -> Result<()> {
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||||||
|
if where_fn.args.len() != 3 {
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|
bail!(ErrorKind::InvalidNumberOfArguments(where_fn.operator.clone(), where_fn.args.len(), 3));
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||||||
|
}
|
||||||
|
|
||||||
|
if where_fn.binding.is_empty() {
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||||||
|
// The binding must introduce at least one bound variable.
|
||||||
|
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::NoBoundVariable));
|
||||||
|
}
|
||||||
|
|
||||||
|
if !where_fn.binding.is_valid() {
|
||||||
|
// The binding must not duplicate bound variables.
|
||||||
|
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::RepeatedBoundVariable));
|
||||||
|
}
|
||||||
|
|
||||||
|
// We should have exactly four bindings. Destructure them now.
|
||||||
|
let bindings = match where_fn.binding {
|
||||||
|
Binding::BindRel(bindings) => {
|
||||||
|
let bindings_count = bindings.len();
|
||||||
|
if bindings_count < 1 || bindings_count > 4 {
|
||||||
|
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(),
|
||||||
|
BindingError::InvalidNumberOfBindings {
|
||||||
|
number: bindings.len(),
|
||||||
|
expected: 4,
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
bindings
|
||||||
|
},
|
||||||
|
Binding::BindScalar(_) |
|
||||||
|
Binding::BindTuple(_) |
|
||||||
|
Binding::BindColl(_) => bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::ExpectedBindRel)),
|
||||||
|
};
|
||||||
|
let mut bindings = bindings.into_iter();
|
||||||
|
let b_entity = bindings.next().unwrap();
|
||||||
|
let b_value = bindings.next().unwrap_or(VariableOrPlaceholder::Placeholder);
|
||||||
|
let b_tx = bindings.next().unwrap_or(VariableOrPlaceholder::Placeholder);
|
||||||
|
let b_score = bindings.next().unwrap_or(VariableOrPlaceholder::Placeholder);
|
||||||
|
|
||||||
|
let mut args = where_fn.args.into_iter();
|
||||||
|
|
||||||
|
// TODO: process source variables.
|
||||||
|
match args.next().unwrap() {
|
||||||
|
FnArg::SrcVar(SrcVar::DefaultSrc) => {},
|
||||||
|
_ => bail!(ErrorKind::InvalidArgument(where_fn.operator.clone(), "source variable".into(), 0)),
|
||||||
|
}
|
||||||
|
|
||||||
|
// TODO: accept placeholder and set of attributes. Alternately, consider putting the search
|
||||||
|
// term before the attribute arguments and collect the (variadic) attributes into a set.
|
||||||
|
// let a: Entid = self.resolve_attribute_argument(&where_fn.operator, 1, args.next().unwrap())?;
|
||||||
|
//
|
||||||
|
// TODO: improve the expression of this matching, possibly by using attribute_for_* uniformly.
|
||||||
|
let a = match args.next().unwrap() {
|
||||||
|
FnArg::IdentOrKeyword(i) => schema.get_entid(&i),
|
||||||
|
// Must be an entid.
|
||||||
|
FnArg::EntidOrInteger(e) => Some(e),
|
||||||
|
FnArg::Variable(v) => {
|
||||||
|
// If it's already bound, then let's expand the variable.
|
||||||
|
// TODO: allow non-constant attributes.
|
||||||
|
match self.bound_value(&v) {
|
||||||
|
Some(TypedValue::Ref(entid)) => Some(entid),
|
||||||
|
Some(tv) => {
|
||||||
|
bail!(ErrorKind::InputTypeDisagreement(v.name().clone(), ValueType::Ref, tv.value_type()));
|
||||||
|
},
|
||||||
|
None => {
|
||||||
|
bail!(ErrorKind::UnboundVariable((*v.0).clone()));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
_ => None,
|
||||||
|
};
|
||||||
|
|
||||||
|
// An unknown ident, or an entity that isn't present in the store, or isn't a fulltext
|
||||||
|
// attribute, is likely enough to be a coding error that we choose to bail instead of
|
||||||
|
// marking the pattern as known-empty.
|
||||||
|
let a = a.ok_or(ErrorKind::InvalidArgument(where_fn.operator.clone(), "attribute".into(), 1))?;
|
||||||
|
let attribute = schema.attribute_for_entid(a).cloned().ok_or(ErrorKind::InvalidArgument(where_fn.operator.clone(), "attribute".into(), 1))?;
|
||||||
|
|
||||||
|
if !attribute.fulltext {
|
||||||
|
// We can never get results from a non-fulltext attribute!
|
||||||
|
println!("Can't run fulltext on non-fulltext attribute {}.", a);
|
||||||
|
self.mark_known_empty(EmptyBecause::InvalidAttributeEntid(a));
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
let fulltext_values_alias = self.next_alias_for_table(DatomsTable::FulltextValues);
|
||||||
|
let datoms_table_alias = self.next_alias_for_table(DatomsTable::Datoms);
|
||||||
|
|
||||||
|
// We do a fulltext lookup by joining the fulltext values table against datoms -- just
|
||||||
|
// like applying a pattern, but two tables contribute instead of one.
|
||||||
|
self.from.push(SourceAlias(DatomsTable::FulltextValues, fulltext_values_alias.clone()));
|
||||||
|
self.from.push(SourceAlias(DatomsTable::Datoms, datoms_table_alias.clone()));
|
||||||
|
|
||||||
|
// TODO: constrain the type in the more general cases (e.g., `a` is a var).
|
||||||
|
self.constrain_attribute(datoms_table_alias.clone(), a);
|
||||||
|
|
||||||
|
// Join the datoms table to the fulltext values table.
|
||||||
|
self.wheres.add_intersection(ColumnConstraint::Equals(
|
||||||
|
QualifiedAlias(datoms_table_alias.clone(), Column::Fixed(DatomsColumn::Value)),
|
||||||
|
QueryValue::Column(QualifiedAlias(fulltext_values_alias.clone(), Column::Fulltext(FulltextColumn::Rowid)))));
|
||||||
|
|
||||||
|
// `search` is either text or a variable.
|
||||||
|
// If it's simple text, great.
|
||||||
|
// If it's a variable, it'll be in one of three states:
|
||||||
|
// - It's already bound, either by input or by a previous pattern like `ground`.
|
||||||
|
// - It's not already bound, but it's a defined input of type Text. Not yet implemented: TODO.
|
||||||
|
// - It's not bound. The query cannot be algebrized.
|
||||||
|
let search: TypedValue = match args.next().unwrap() {
|
||||||
|
FnArg::Constant(NonIntegerConstant::Text(s)) => {
|
||||||
|
TypedValue::String(s)
|
||||||
|
},
|
||||||
|
FnArg::Variable(in_var) => {
|
||||||
|
match self.bound_value(&in_var) {
|
||||||
|
Some(t @ TypedValue::String(_)) => t,
|
||||||
|
Some(_) => bail!(ErrorKind::InvalidArgument(where_fn.operator.clone(), "string".into(), 2)),
|
||||||
|
None => {
|
||||||
|
if self.input_variables.contains(&in_var) &&
|
||||||
|
self.known_type(&in_var) == Some(ValueType::String) {
|
||||||
|
// Sorry, we haven't implemented late binding.
|
||||||
|
}
|
||||||
|
bail!(ErrorKind::UnboundVariable((*in_var.0).clone()));
|
||||||
|
},
|
||||||
|
}
|
||||||
|
},
|
||||||
|
_ => bail!(ErrorKind::InvalidArgument(where_fn.operator.clone(), "string".into(), 2)),
|
||||||
|
};
|
||||||
|
|
||||||
|
let constraint = ColumnConstraint::Matches(QualifiedAlias(fulltext_values_alias.clone(),
|
||||||
|
Column::Fulltext(FulltextColumn::Text)),
|
||||||
|
QueryValue::TypedValue(search));
|
||||||
|
self.wheres.add_intersection(constraint);
|
||||||
|
|
||||||
|
if let VariableOrPlaceholder::Variable(ref var) = b_entity {
|
||||||
|
// It must be a ref.
|
||||||
|
self.constrain_var_to_type(var.clone(), ValueType::Ref);
|
||||||
|
if self.is_known_empty() {
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
self.bind_column_to_var(schema, datoms_table_alias.clone(), DatomsColumn::Entity, var.clone());
|
||||||
|
}
|
||||||
|
|
||||||
|
if let VariableOrPlaceholder::Variable(ref var) = b_value {
|
||||||
|
// This'll be bound to strings.
|
||||||
|
self.constrain_var_to_type(var.clone(), ValueType::String);
|
||||||
|
if self.is_known_empty() {
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
self.bind_column_to_var(schema, fulltext_values_alias.clone(), Column::Fulltext(FulltextColumn::Text), var.clone());
|
||||||
|
}
|
||||||
|
|
||||||
|
if let VariableOrPlaceholder::Variable(ref var) = b_tx {
|
||||||
|
// Txs must be refs.
|
||||||
|
self.constrain_var_to_type(var.clone(), ValueType::Ref);
|
||||||
|
if self.is_known_empty() {
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
self.bind_column_to_var(schema, datoms_table_alias.clone(), DatomsColumn::Tx, var.clone());
|
||||||
|
}
|
||||||
|
|
||||||
|
if let VariableOrPlaceholder::Variable(ref var) = b_score {
|
||||||
|
// Scores are doubles.
|
||||||
|
self.constrain_var_to_type(var.clone(), ValueType::Double);
|
||||||
|
|
||||||
|
// We do not allow the score to be bound.
|
||||||
|
if self.value_bindings.contains_key(var) || self.input_variables.contains(var) {
|
||||||
|
bail!(ErrorKind::InvalidBinding(var.name(), BindingError::UnexpectedBinding));
|
||||||
|
}
|
||||||
|
|
||||||
|
// We bind the value ourselves. This handily takes care of substituting into existing uses.
|
||||||
|
// TODO: produce real scores using SQLite's matchinfo.
|
||||||
|
self.bind_value(var, TypedValue::Double(0.0.into()));
|
||||||
|
}
|
||||||
|
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
#[cfg(test)]
|
||||||
|
mod testing {
|
||||||
|
use super::*;
|
||||||
|
|
||||||
|
use std::rc::Rc;
|
||||||
|
|
||||||
|
use mentat_core::{
|
||||||
|
Attribute,
|
||||||
|
ValueType,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query::{
|
||||||
|
Binding,
|
||||||
|
FnArg,
|
||||||
|
NamespacedKeyword,
|
||||||
|
PlainSymbol,
|
||||||
|
Variable,
|
||||||
|
};
|
||||||
|
|
||||||
|
use clauses::{
|
||||||
|
add_attribute,
|
||||||
|
associate_ident,
|
||||||
|
};
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_apply_fulltext() {
|
||||||
|
let mut cc = ConjoiningClauses::default();
|
||||||
|
let mut schema = Schema::default();
|
||||||
|
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "bar"), 101);
|
||||||
|
add_attribute(&mut schema, 101, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
fulltext: false,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "fts"), 100);
|
||||||
|
add_attribute(&mut schema, 100, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
index: true,
|
||||||
|
fulltext: true,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
|
||||||
|
let op = PlainSymbol::new("fulltext");
|
||||||
|
cc.apply_fulltext(&schema, WhereFn {
|
||||||
|
operator: op,
|
||||||
|
args: vec![
|
||||||
|
FnArg::SrcVar(SrcVar::DefaultSrc),
|
||||||
|
FnArg::IdentOrKeyword(NamespacedKeyword::new("foo", "fts")),
|
||||||
|
FnArg::Constant(NonIntegerConstant::Text(Rc::new("needle".into()))),
|
||||||
|
],
|
||||||
|
binding: Binding::BindRel(vec![VariableOrPlaceholder::Variable(Variable::from_valid_name("?entity")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?value")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?tx")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?score"))]),
|
||||||
|
}).expect("to be able to apply_fulltext");
|
||||||
|
|
||||||
|
assert!(!cc.is_known_empty());
|
||||||
|
|
||||||
|
// Finally, expand column bindings.
|
||||||
|
cc.expand_column_bindings();
|
||||||
|
assert!(!cc.is_known_empty());
|
||||||
|
|
||||||
|
let clauses = cc.wheres;
|
||||||
|
assert_eq!(clauses.len(), 3);
|
||||||
|
|
||||||
|
assert_eq!(clauses.0[0], ColumnConstraint::Equals(QualifiedAlias("datoms01".to_string(), Column::Fixed(DatomsColumn::Attribute)),
|
||||||
|
QueryValue::Entid(100)).into());
|
||||||
|
assert_eq!(clauses.0[1], ColumnConstraint::Equals(QualifiedAlias("datoms01".to_string(), Column::Fixed(DatomsColumn::Value)),
|
||||||
|
QueryValue::Column(QualifiedAlias("fulltext_values00".to_string(), Column::Fulltext(FulltextColumn::Rowid)))).into());
|
||||||
|
assert_eq!(clauses.0[2], ColumnConstraint::Matches(QualifiedAlias("fulltext_values00".to_string(), Column::Fulltext(FulltextColumn::Text)),
|
||||||
|
QueryValue::TypedValue(TypedValue::String(Rc::new("needle".into())))).into());
|
||||||
|
|
||||||
|
let bindings = cc.column_bindings;
|
||||||
|
assert_eq!(bindings.len(), 3);
|
||||||
|
|
||||||
|
assert_eq!(bindings.get(&Variable::from_valid_name("?entity")).expect("column binding for ?entity").clone(),
|
||||||
|
vec![QualifiedAlias("datoms01".to_string(), Column::Fixed(DatomsColumn::Entity))]);
|
||||||
|
assert_eq!(bindings.get(&Variable::from_valid_name("?value")).expect("column binding for ?value").clone(),
|
||||||
|
vec![QualifiedAlias("fulltext_values00".to_string(), Column::Fulltext(FulltextColumn::Text))]);
|
||||||
|
assert_eq!(bindings.get(&Variable::from_valid_name("?tx")).expect("column binding for ?tx").clone(),
|
||||||
|
vec![QualifiedAlias("datoms01".to_string(), Column::Fixed(DatomsColumn::Tx))]);
|
||||||
|
|
||||||
|
// Score is a value binding.
|
||||||
|
let values = cc.value_bindings;
|
||||||
|
assert_eq!(values.get(&Variable::from_valid_name("?score")).expect("column binding for ?score").clone(),
|
||||||
|
TypedValue::Double(0.0.into()));
|
||||||
|
|
||||||
|
let known_types = cc.known_types;
|
||||||
|
assert_eq!(known_types.len(), 4);
|
||||||
|
|
||||||
|
assert_eq!(known_types.get(&Variable::from_valid_name("?entity")).expect("known types for ?entity").clone(),
|
||||||
|
vec![ValueType::Ref].into_iter().collect());
|
||||||
|
assert_eq!(known_types.get(&Variable::from_valid_name("?value")).expect("known types for ?value").clone(),
|
||||||
|
vec![ValueType::String].into_iter().collect());
|
||||||
|
assert_eq!(known_types.get(&Variable::from_valid_name("?tx")).expect("known types for ?tx").clone(),
|
||||||
|
vec![ValueType::Ref].into_iter().collect());
|
||||||
|
assert_eq!(known_types.get(&Variable::from_valid_name("?score")).expect("known types for ?score").clone(),
|
||||||
|
vec![ValueType::Double].into_iter().collect());
|
||||||
|
|
||||||
|
let mut cc = ConjoiningClauses::default();
|
||||||
|
let op = PlainSymbol::new("fulltext");
|
||||||
|
cc.apply_fulltext(&schema, WhereFn {
|
||||||
|
operator: op,
|
||||||
|
args: vec![
|
||||||
|
FnArg::SrcVar(SrcVar::DefaultSrc),
|
||||||
|
FnArg::IdentOrKeyword(NamespacedKeyword::new("foo", "bar")),
|
||||||
|
FnArg::Constant(NonIntegerConstant::Text(Rc::new("needle".into()))),
|
||||||
|
],
|
||||||
|
binding: Binding::BindRel(vec![VariableOrPlaceholder::Variable(Variable::from_valid_name("?entity")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?value")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?tx")),
|
||||||
|
VariableOrPlaceholder::Variable(Variable::from_valid_name("?score"))]),
|
||||||
|
}).expect("to be able to apply_fulltext");
|
||||||
|
|
||||||
|
// It's not a fulltext attribute, so the CC cannot yield results.
|
||||||
|
assert!(cc.is_known_empty());
|
||||||
|
}
|
||||||
|
}
|
390
query-algebrizer/src/clauses/ground.rs
Normal file
390
query-algebrizer/src/clauses/ground.rs
Normal file
|
@ -0,0 +1,390 @@
|
||||||
|
// Copyright 2016 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 mentat_core::{
|
||||||
|
Schema,
|
||||||
|
TypedValue,
|
||||||
|
ValueType,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query::{
|
||||||
|
Binding,
|
||||||
|
FnArg,
|
||||||
|
Variable,
|
||||||
|
VariableOrPlaceholder,
|
||||||
|
WhereFn,
|
||||||
|
};
|
||||||
|
|
||||||
|
use clauses::{
|
||||||
|
ConjoiningClauses,
|
||||||
|
PushComputed,
|
||||||
|
};
|
||||||
|
|
||||||
|
use clauses::convert::ValueConversion;
|
||||||
|
|
||||||
|
use errors::{
|
||||||
|
BindingError,
|
||||||
|
ErrorKind,
|
||||||
|
Result,
|
||||||
|
};
|
||||||
|
|
||||||
|
use types::{
|
||||||
|
ComputedTable,
|
||||||
|
EmptyBecause,
|
||||||
|
SourceAlias,
|
||||||
|
ValueTypeSet,
|
||||||
|
VariableColumn,
|
||||||
|
};
|
||||||
|
|
||||||
|
impl ConjoiningClauses {
|
||||||
|
/// Take a relation: a matrix of values which will successively bind to named variables of
|
||||||
|
/// the provided types.
|
||||||
|
/// Construct a computed table to yield this relation.
|
||||||
|
/// This function will panic if some invariants are not met.
|
||||||
|
fn collect_named_bindings<'s>(&mut self, schema: &'s Schema, names: Vec<Variable>, types: Vec<ValueType>, values: Vec<TypedValue>) {
|
||||||
|
if values.is_empty() {
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
assert!(!names.is_empty());
|
||||||
|
assert_eq!(names.len(), types.len());
|
||||||
|
assert!(values.len() >= names.len());
|
||||||
|
assert_eq!(values.len() % names.len(), 0); // It's an exact multiple.
|
||||||
|
|
||||||
|
let named_values = ComputedTable::NamedValues {
|
||||||
|
names: names.clone(),
|
||||||
|
values: values,
|
||||||
|
};
|
||||||
|
|
||||||
|
let table = self.computed_tables.push_computed(named_values);
|
||||||
|
let alias = self.next_alias_for_table(table);
|
||||||
|
|
||||||
|
// Stitch the computed table into column_bindings, so we get cross-linking.
|
||||||
|
for (name, ty) in names.iter().zip(types.into_iter()) {
|
||||||
|
self.constrain_var_to_type(name.clone(), ty);
|
||||||
|
self.bind_column_to_var(schema, alias.clone(), VariableColumn::Variable(name.clone()), name.clone());
|
||||||
|
}
|
||||||
|
|
||||||
|
self.from.push(SourceAlias(table, alias));
|
||||||
|
}
|
||||||
|
|
||||||
|
fn apply_ground_place<'s>(&mut self, schema: &'s Schema, var: VariableOrPlaceholder, arg: FnArg) -> Result<()> {
|
||||||
|
match var {
|
||||||
|
VariableOrPlaceholder::Placeholder => Ok(()),
|
||||||
|
VariableOrPlaceholder::Variable(var) => self.apply_ground_var(schema, var, arg),
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/// Constrain the CC to associate the given var with the given ground argument.
|
||||||
|
/// Marks known-empty on failure.
|
||||||
|
fn apply_ground_var<'s>(&mut self, schema: &'s Schema, var: Variable, arg: FnArg) -> Result<()> {
|
||||||
|
let known_types = self.known_type_set(&var);
|
||||||
|
match self.typed_value_from_arg(schema, &var, arg, known_types)? {
|
||||||
|
ValueConversion::Val(value) => self.apply_ground_value(var, value),
|
||||||
|
ValueConversion::Impossible(because) => {
|
||||||
|
self.mark_known_empty(because);
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/// Marks known-empty on failure.
|
||||||
|
fn apply_ground_value(&mut self, var: Variable, value: TypedValue) -> Result<()> {
|
||||||
|
if let Some(existing) = self.bound_value(&var) {
|
||||||
|
if existing != value {
|
||||||
|
self.mark_known_empty(EmptyBecause::ConflictingBindings {
|
||||||
|
var: var.clone(),
|
||||||
|
existing: existing.clone(),
|
||||||
|
desired: value,
|
||||||
|
});
|
||||||
|
return Ok(())
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
self.bind_value(&var, value.clone());
|
||||||
|
}
|
||||||
|
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
|
||||||
|
pub fn apply_ground<'s>(&mut self, schema: &'s Schema, where_fn: WhereFn) -> Result<()> {
|
||||||
|
if where_fn.args.len() != 1 {
|
||||||
|
bail!(ErrorKind::InvalidNumberOfArguments(where_fn.operator.clone(), where_fn.args.len(), 1));
|
||||||
|
}
|
||||||
|
|
||||||
|
let mut args = where_fn.args.into_iter();
|
||||||
|
|
||||||
|
if where_fn.binding.is_empty() {
|
||||||
|
// The binding must introduce at least one bound variable.
|
||||||
|
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::NoBoundVariable));
|
||||||
|
}
|
||||||
|
|
||||||
|
if !where_fn.binding.is_valid() {
|
||||||
|
// The binding must not duplicate bound variables.
|
||||||
|
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::RepeatedBoundVariable));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Scalar and tuple bindings are a little special: because there's only one value,
|
||||||
|
// we can immediately substitute the value as a known value in the CC, additionally
|
||||||
|
// generating a WHERE clause if columns have already been bound.
|
||||||
|
match (where_fn.binding, args.next().unwrap()) {
|
||||||
|
(Binding::BindScalar(var), constant) =>
|
||||||
|
self.apply_ground_var(schema, var, constant),
|
||||||
|
|
||||||
|
(Binding::BindTuple(places), FnArg::Vector(children)) => {
|
||||||
|
// Just the same, but we bind more than one column at a time.
|
||||||
|
if children.len() != places.len() {
|
||||||
|
// Number of arguments don't match the number of values. TODO: better error message.
|
||||||
|
bail!(ErrorKind::GroundBindingsMismatch);
|
||||||
|
}
|
||||||
|
for (place, arg) in places.into_iter().zip(children.into_iter()) {
|
||||||
|
self.apply_ground_place(schema, place, arg)? // TODO: short-circuit on impossible.
|
||||||
|
}
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
|
|
||||||
|
// Collection bindings and rel bindings are similar in that they are both
|
||||||
|
// implemented as a subquery with a projection list and a set of values.
|
||||||
|
// The difference is that BindColl has only a single variable, and its values
|
||||||
|
// are all in a single structure. That makes it substantially simpler!
|
||||||
|
(Binding::BindColl(var), FnArg::Vector(children)) => {
|
||||||
|
if children.is_empty() {
|
||||||
|
bail!(ErrorKind::InvalidGroundConstant);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Turn a collection of arguments into a Vec of `TypedValue`s of the same type.
|
||||||
|
let known_types = self.known_type_set(&var);
|
||||||
|
// Check that every value has the same type.
|
||||||
|
let mut accumulated_types = ValueTypeSet::none();
|
||||||
|
let mut skip: Option<EmptyBecause> = None;
|
||||||
|
let values = children.into_iter()
|
||||||
|
.filter_map(|arg| -> Option<Result<TypedValue>> {
|
||||||
|
// We need to get conversion errors out.
|
||||||
|
// We also want to mark known-empty on impossibilty, but
|
||||||
|
// still detect serious errors.
|
||||||
|
match self.typed_value_from_arg(schema, &var, arg, known_types) {
|
||||||
|
Ok(ValueConversion::Val(tv)) => {
|
||||||
|
if accumulated_types.insert(tv.value_type()) &&
|
||||||
|
!accumulated_types.is_unit() {
|
||||||
|
// Values not all of the same type.
|
||||||
|
Some(Err(ErrorKind::InvalidGroundConstant.into()))
|
||||||
|
} else {
|
||||||
|
Some(Ok(tv))
|
||||||
|
}
|
||||||
|
},
|
||||||
|
Ok(ValueConversion::Impossible(because)) => {
|
||||||
|
// Skip this value.
|
||||||
|
skip = Some(because);
|
||||||
|
None
|
||||||
|
},
|
||||||
|
Err(e) => Some(Err(e.into())),
|
||||||
|
}
|
||||||
|
})
|
||||||
|
.collect::<Result<Vec<TypedValue>>>()?;
|
||||||
|
|
||||||
|
if values.is_empty() {
|
||||||
|
let because = skip.expect("we skipped all rows for a reason");
|
||||||
|
self.mark_known_empty(because);
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
// Otherwise, we now have the values and the type.
|
||||||
|
let types = vec![accumulated_types.exemplar().unwrap()];
|
||||||
|
let names = vec![var.clone()];
|
||||||
|
|
||||||
|
self.collect_named_bindings(schema, names, types, values);
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
|
|
||||||
|
(Binding::BindRel(places), FnArg::Vector(rows)) => {
|
||||||
|
if rows.is_empty() {
|
||||||
|
bail!(ErrorKind::InvalidGroundConstant);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Grab the known types to which these args must conform, and track
|
||||||
|
// the places that won't be bound in the output.
|
||||||
|
let template: Vec<Option<(Variable, ValueTypeSet)>> =
|
||||||
|
places.iter()
|
||||||
|
.map(|x| match x {
|
||||||
|
&VariableOrPlaceholder::Placeholder => None,
|
||||||
|
&VariableOrPlaceholder::Variable(ref v) => Some((v.clone(), self.known_type_set(v))),
|
||||||
|
})
|
||||||
|
.collect();
|
||||||
|
|
||||||
|
// The expected 'width' of the matrix is the number of named variables.
|
||||||
|
let full_width = places.len();
|
||||||
|
let names: Vec<Variable> = places.into_iter().filter_map(|x| x.into_var()).collect();
|
||||||
|
let expected_width = names.len();
|
||||||
|
let expected_rows = rows.len();
|
||||||
|
|
||||||
|
if expected_width == 0 {
|
||||||
|
// They can't all be placeholders.
|
||||||
|
bail!(ErrorKind::InvalidGroundConstant);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Accumulate values into `matrix` and types into `a_t_f_c`.
|
||||||
|
// This representation of a rectangular matrix is more efficient than one composed
|
||||||
|
// of N separate vectors.
|
||||||
|
let mut matrix = Vec::with_capacity(expected_width * expected_rows);
|
||||||
|
let mut accumulated_types_for_columns = vec![ValueTypeSet::none(); expected_width];
|
||||||
|
|
||||||
|
// Loop so we can bail out.
|
||||||
|
let mut skipped_all: Option<EmptyBecause> = None;
|
||||||
|
for row in rows.into_iter() {
|
||||||
|
match row {
|
||||||
|
FnArg::Vector(cols) => {
|
||||||
|
// Make sure that every row is the same length.
|
||||||
|
if cols.len() != full_width {
|
||||||
|
bail!(ErrorKind::InvalidGroundConstant);
|
||||||
|
}
|
||||||
|
|
||||||
|
// TODO: don't accumulate twice.
|
||||||
|
let mut vals = Vec::with_capacity(expected_width);
|
||||||
|
let mut skip: Option<EmptyBecause> = None;
|
||||||
|
for (col, pair) in cols.into_iter().zip(template.iter()) {
|
||||||
|
// Now we have (val, Option<(name, known_types)>). Silly,
|
||||||
|
// but this is how we iter!
|
||||||
|
// Convert each item in the row.
|
||||||
|
// If any value in the row is impossible, then skip the row.
|
||||||
|
// If all rows are impossible, fail the entire CC.
|
||||||
|
if let &Some(ref pair) = pair {
|
||||||
|
match self.typed_value_from_arg(schema, &pair.0, col, pair.1)? {
|
||||||
|
ValueConversion::Val(tv) => vals.push(tv),
|
||||||
|
ValueConversion::Impossible(because) => {
|
||||||
|
// Skip this row. It cannot produce bindings.
|
||||||
|
skip = Some(because);
|
||||||
|
break;
|
||||||
|
},
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
if skip.is_some() {
|
||||||
|
// Skip this row and record why, in case we skip all.
|
||||||
|
skipped_all = skip;
|
||||||
|
continue;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Accumulate the values into the matrix and the types into the type set.
|
||||||
|
for (val, acc) in vals.into_iter().zip(accumulated_types_for_columns.iter_mut()) {
|
||||||
|
let inserted = acc.insert(val.value_type());
|
||||||
|
if inserted && !acc.is_unit() {
|
||||||
|
// Heterogeneous types.
|
||||||
|
bail!(ErrorKind::InvalidGroundConstant);
|
||||||
|
}
|
||||||
|
matrix.push(val);
|
||||||
|
}
|
||||||
|
|
||||||
|
},
|
||||||
|
_ => bail!(ErrorKind::InvalidGroundConstant),
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Do we have rows? If not, the CC cannot succeed.
|
||||||
|
if matrix.is_empty() {
|
||||||
|
// We will either have bailed or will have accumulated *something* into the matrix,
|
||||||
|
// so we can safely unwrap here.
|
||||||
|
self.mark_known_empty(skipped_all.expect("we skipped for a reason"));
|
||||||
|
return Ok(());
|
||||||
|
}
|
||||||
|
|
||||||
|
// Take the single type from each set. We know there's only one: we got at least one
|
||||||
|
// type, 'cos we bailed out for zero rows, and we also bailed out each time we
|
||||||
|
// inserted a second type.
|
||||||
|
// By restricting to homogeneous columns, we greatly simplify projection. In the
|
||||||
|
// future, we could loosen this restriction, at the cost of projecting (some) value
|
||||||
|
// type tags. If and when we want to algebrize in two phases and allow for
|
||||||
|
// late-binding input variables, we'll probably be able to loosen this restriction
|
||||||
|
// with little penalty.
|
||||||
|
let types = accumulated_types_for_columns.into_iter()
|
||||||
|
.map(|x| x.exemplar().unwrap())
|
||||||
|
.collect();
|
||||||
|
self.collect_named_bindings(schema, names, types, matrix);
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
|
(_, _) => bail!(ErrorKind::InvalidGroundConstant),
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
#[cfg(test)]
|
||||||
|
mod testing {
|
||||||
|
use super::*;
|
||||||
|
|
||||||
|
use mentat_core::{
|
||||||
|
Attribute,
|
||||||
|
ValueType,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query::{
|
||||||
|
Binding,
|
||||||
|
FnArg,
|
||||||
|
NamespacedKeyword,
|
||||||
|
PlainSymbol,
|
||||||
|
Variable,
|
||||||
|
};
|
||||||
|
|
||||||
|
use clauses::{
|
||||||
|
add_attribute,
|
||||||
|
associate_ident,
|
||||||
|
};
|
||||||
|
|
||||||
|
use types::{
|
||||||
|
ValueTypeSet,
|
||||||
|
};
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_apply_ground() {
|
||||||
|
let vz = Variable::from_valid_name("?z");
|
||||||
|
|
||||||
|
let mut cc = ConjoiningClauses::default();
|
||||||
|
let mut schema = Schema::default();
|
||||||
|
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "fts"), 100);
|
||||||
|
add_attribute(&mut schema, 100, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
index: true,
|
||||||
|
fulltext: true,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
|
||||||
|
// It's awkward enough to write these expansions that we give the details for the simplest
|
||||||
|
// case only. See the tests of the translator for more extensive (albeit looser) coverage.
|
||||||
|
let op = PlainSymbol::new("ground");
|
||||||
|
cc.apply_ground(&schema, WhereFn {
|
||||||
|
operator: op,
|
||||||
|
args: vec![
|
||||||
|
FnArg::EntidOrInteger(10),
|
||||||
|
],
|
||||||
|
binding: Binding::BindScalar(vz.clone()),
|
||||||
|
}).expect("to be able to apply_ground");
|
||||||
|
|
||||||
|
assert!(!cc.is_known_empty());
|
||||||
|
|
||||||
|
// Finally, expand column bindings.
|
||||||
|
cc.expand_column_bindings();
|
||||||
|
assert!(!cc.is_known_empty());
|
||||||
|
|
||||||
|
let clauses = cc.wheres;
|
||||||
|
assert_eq!(clauses.len(), 0);
|
||||||
|
|
||||||
|
let column_bindings = cc.column_bindings;
|
||||||
|
assert_eq!(column_bindings.len(), 0); // Scalar doesn't need this.
|
||||||
|
|
||||||
|
let known_types = cc.known_types;
|
||||||
|
assert_eq!(known_types.len(), 1);
|
||||||
|
assert_eq!(known_types.get(&vz).expect("to know the type of ?z"),
|
||||||
|
&ValueTypeSet::of_one(ValueType::Long));
|
||||||
|
|
||||||
|
let value_bindings = cc.value_bindings;
|
||||||
|
assert_eq!(value_bindings.len(), 1);
|
||||||
|
assert_eq!(value_bindings.get(&vz).expect("to have a value for ?z"),
|
||||||
|
&TypedValue::Long(10)); // We default to Long instead of entid.
|
||||||
|
}
|
||||||
|
}
|
|
@ -54,6 +54,7 @@ use types::{
|
||||||
DatomsColumn,
|
DatomsColumn,
|
||||||
DatomsTable,
|
DatomsTable,
|
||||||
EmptyBecause,
|
EmptyBecause,
|
||||||
|
FulltextColumn,
|
||||||
QualifiedAlias,
|
QualifiedAlias,
|
||||||
QueryValue,
|
QueryValue,
|
||||||
SourceAlias,
|
SourceAlias,
|
||||||
|
@ -61,12 +62,16 @@ use types::{
|
||||||
ValueTypeSet,
|
ValueTypeSet,
|
||||||
};
|
};
|
||||||
|
|
||||||
|
mod convert; // Converting args to values.
|
||||||
mod inputs;
|
mod inputs;
|
||||||
mod or;
|
mod or;
|
||||||
mod not;
|
mod not;
|
||||||
mod pattern;
|
mod pattern;
|
||||||
mod predicate;
|
mod predicate;
|
||||||
mod resolve;
|
mod resolve;
|
||||||
|
|
||||||
|
mod ground;
|
||||||
|
mod fulltext;
|
||||||
mod where_fn;
|
mod where_fn;
|
||||||
|
|
||||||
use validate::{
|
use validate::{
|
||||||
|
@ -335,7 +340,24 @@ impl ConjoiningClauses {
|
||||||
impl ConjoiningClauses {
|
impl ConjoiningClauses {
|
||||||
/// Be careful with this. It'll overwrite existing bindings.
|
/// Be careful with this. It'll overwrite existing bindings.
|
||||||
pub fn bind_value(&mut self, var: &Variable, value: TypedValue) {
|
pub fn bind_value(&mut self, var: &Variable, value: TypedValue) {
|
||||||
self.constrain_var_to_type(var.clone(), value.value_type());
|
let vt = value.value_type();
|
||||||
|
self.constrain_var_to_type(var.clone(), vt);
|
||||||
|
|
||||||
|
// Are there any existing column bindings for this variable?
|
||||||
|
// If so, generate a constraint against the primary column.
|
||||||
|
if let Some(vec) = self.column_bindings.get(var) {
|
||||||
|
if let Some(col) = vec.first() {
|
||||||
|
self.wheres.add_intersection(ColumnConstraint::Equals(col.clone(), QueryValue::TypedValue(value.clone())));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Are we also trying to figure out the type of the value when the query runs?
|
||||||
|
// If so, constrain that!
|
||||||
|
if let Some(qa) = self.extracted_types.get(&var) {
|
||||||
|
self.wheres.add_intersection(ColumnConstraint::HasType(qa.0.clone(), vt));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Finally, store the binding for future use.
|
||||||
self.value_bindings.insert(var.clone(), value);
|
self.value_bindings.insert(var.clone(), value);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -377,6 +399,13 @@ impl ConjoiningClauses {
|
||||||
self.constrain_column_to_constant(table, column, bound_val);
|
self.constrain_column_to_constant(table, column, bound_val);
|
||||||
},
|
},
|
||||||
|
|
||||||
|
Column::Fulltext(FulltextColumn::Rowid) |
|
||||||
|
Column::Fulltext(FulltextColumn::Text) => {
|
||||||
|
// We never expose `rowid` via queries. We do expose `text`, but only
|
||||||
|
// indirectly, by joining against `datoms`. Therefore, these are meaningless.
|
||||||
|
unimplemented!()
|
||||||
|
},
|
||||||
|
|
||||||
Column::Fixed(DatomsColumn::ValueTypeTag) => {
|
Column::Fixed(DatomsColumn::ValueTypeTag) => {
|
||||||
// I'm pretty sure this is meaningless right now, because we will never bind
|
// I'm pretty sure this is meaningless right now, because we will never bind
|
||||||
// a type tag to a variable -- there's no syntax for doing so.
|
// a type tag to a variable -- there's no syntax for doing so.
|
||||||
|
@ -450,8 +479,14 @@ impl ConjoiningClauses {
|
||||||
}
|
}
|
||||||
|
|
||||||
pub fn constrain_column_to_constant<C: Into<Column>>(&mut self, table: TableAlias, column: C, constant: TypedValue) {
|
pub fn constrain_column_to_constant<C: Into<Column>>(&mut self, table: TableAlias, column: C, constant: TypedValue) {
|
||||||
let column = column.into();
|
match constant {
|
||||||
self.wheres.add_intersection(ColumnConstraint::Equals(QualifiedAlias(table, column), QueryValue::TypedValue(constant)))
|
// Be a little more explicit.
|
||||||
|
TypedValue::Ref(entid) => self.constrain_column_to_entity(table, column, entid),
|
||||||
|
_ => {
|
||||||
|
let column = column.into();
|
||||||
|
self.wheres.add_intersection(ColumnConstraint::Equals(QualifiedAlias(table, column), QueryValue::TypedValue(constant)))
|
||||||
|
},
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
pub fn constrain_column_to_entity<C: Into<Column>>(&mut self, table: TableAlias, column: C, entity: Entid) {
|
pub fn constrain_column_to_entity<C: Into<Column>>(&mut self, table: TableAlias, column: C, entity: Entid) {
|
||||||
|
|
|
@ -8,188 +8,23 @@
|
||||||
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
||||||
// specific language governing permissions and limitations under the License.
|
// specific language governing permissions and limitations under the License.
|
||||||
|
|
||||||
use std::rc::Rc;
|
|
||||||
|
|
||||||
use mentat_core::{
|
use mentat_core::{
|
||||||
Schema,
|
Schema,
|
||||||
SQLValueType,
|
|
||||||
TypedValue,
|
|
||||||
ValueType,
|
|
||||||
};
|
};
|
||||||
|
|
||||||
use mentat_query::{
|
use mentat_query::{
|
||||||
Binding,
|
|
||||||
FnArg,
|
|
||||||
NonIntegerConstant,
|
|
||||||
Variable,
|
|
||||||
VariableOrPlaceholder,
|
|
||||||
WhereFn,
|
WhereFn,
|
||||||
};
|
};
|
||||||
|
|
||||||
use clauses::{
|
use clauses::{
|
||||||
ConjoiningClauses,
|
ConjoiningClauses,
|
||||||
PushComputed,
|
|
||||||
};
|
};
|
||||||
|
|
||||||
use errors::{
|
use errors::{
|
||||||
BindingError,
|
|
||||||
ErrorKind,
|
ErrorKind,
|
||||||
Result,
|
Result,
|
||||||
};
|
};
|
||||||
|
|
||||||
use super::QualifiedAlias;
|
|
||||||
|
|
||||||
use types::{
|
|
||||||
ColumnConstraint,
|
|
||||||
ComputedTable,
|
|
||||||
EmptyBecause,
|
|
||||||
SourceAlias,
|
|
||||||
ValueTypeSet,
|
|
||||||
VariableColumn,
|
|
||||||
};
|
|
||||||
|
|
||||||
macro_rules! coerce_to_typed_value {
|
|
||||||
($var: ident, $val: ident, $types: expr, $type: path, $constructor: path) => { {
|
|
||||||
Ok(if !$types.contains($type) {
|
|
||||||
Impossible(EmptyBecause::TypeMismatch {
|
|
||||||
var: $var.clone(),
|
|
||||||
existing: $types,
|
|
||||||
desired: ValueTypeSet::of_one($type),
|
|
||||||
})
|
|
||||||
} else {
|
|
||||||
Val($constructor($val).into())
|
|
||||||
})
|
|
||||||
} }
|
|
||||||
}
|
|
||||||
|
|
||||||
enum ValueConversion {
|
|
||||||
Val(TypedValue),
|
|
||||||
Impossible(EmptyBecause),
|
|
||||||
}
|
|
||||||
|
|
||||||
/// Conversion of FnArgs to TypedValues.
|
|
||||||
impl ConjoiningClauses {
|
|
||||||
/// Convert the provided `FnArg` to a `TypedValue`.
|
|
||||||
/// The conversion depends on, and can fail because of:
|
|
||||||
/// - Existing known types of a variable to which this arg will be bound.
|
|
||||||
/// - Existing bindings of a variable `FnArg`.
|
|
||||||
fn typed_value_from_arg<'s>(&self, schema: &'s Schema, var: &Variable, arg: FnArg, known_types: ValueTypeSet) -> Result<ValueConversion> {
|
|
||||||
use self::ValueConversion::*;
|
|
||||||
if known_types.is_empty() {
|
|
||||||
// If this happens, it likely means the pattern has already failed!
|
|
||||||
return Ok(Impossible(EmptyBecause::TypeMismatch {
|
|
||||||
var: var.clone(),
|
|
||||||
existing: known_types,
|
|
||||||
desired: ValueTypeSet::any(),
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
match arg {
|
|
||||||
// Longs are potentially ambiguous: they might be longs or entids.
|
|
||||||
FnArg::EntidOrInteger(x) => {
|
|
||||||
match (ValueType::Ref.accommodates_integer(x),
|
|
||||||
known_types.contains(ValueType::Ref),
|
|
||||||
known_types.contains(ValueType::Long)) {
|
|
||||||
(true, true, true) => {
|
|
||||||
// Ambiguous: this arg could be an entid or a long.
|
|
||||||
// We default to long.
|
|
||||||
Ok(Val(TypedValue::Long(x)))
|
|
||||||
},
|
|
||||||
(true, true, false) => {
|
|
||||||
// This can only be a ref.
|
|
||||||
Ok(Val(TypedValue::Ref(x)))
|
|
||||||
},
|
|
||||||
(_, false, true) => {
|
|
||||||
// This can only be a long.
|
|
||||||
Ok(Val(TypedValue::Long(x)))
|
|
||||||
},
|
|
||||||
(false, true, _) => {
|
|
||||||
// This isn't a valid ref, but that's the type to which this must conform!
|
|
||||||
Ok(Impossible(EmptyBecause::TypeMismatch {
|
|
||||||
var: var.clone(),
|
|
||||||
existing: known_types,
|
|
||||||
desired: ValueTypeSet::of_longs(),
|
|
||||||
}))
|
|
||||||
},
|
|
||||||
(_, false, false) => {
|
|
||||||
// Non-overlapping type sets.
|
|
||||||
Ok(Impossible(EmptyBecause::TypeMismatch {
|
|
||||||
var: var.clone(),
|
|
||||||
existing: known_types,
|
|
||||||
desired: ValueTypeSet::of_longs(),
|
|
||||||
}))
|
|
||||||
},
|
|
||||||
}
|
|
||||||
},
|
|
||||||
|
|
||||||
// If you definitely want to look up an ident, do it before running the query.
|
|
||||||
FnArg::IdentOrKeyword(x) => {
|
|
||||||
match (known_types.contains(ValueType::Ref),
|
|
||||||
known_types.contains(ValueType::Keyword)) {
|
|
||||||
(true, true) => {
|
|
||||||
// Ambiguous: this could be a keyword or an ident.
|
|
||||||
// Default to keyword.
|
|
||||||
Ok(Val(TypedValue::Keyword(Rc::new(x))))
|
|
||||||
},
|
|
||||||
(true, false) => {
|
|
||||||
// This can only be an ident. Look it up!
|
|
||||||
match schema.get_entid(&x).map(TypedValue::Ref) {
|
|
||||||
Some(e) => Ok(Val(e)),
|
|
||||||
None => Ok(Impossible(EmptyBecause::UnresolvedIdent(x.clone()))),
|
|
||||||
}
|
|
||||||
},
|
|
||||||
(false, true) => {
|
|
||||||
Ok(Val(TypedValue::Keyword(Rc::new(x))))
|
|
||||||
},
|
|
||||||
(false, false) => {
|
|
||||||
Ok(Impossible(EmptyBecause::TypeMismatch {
|
|
||||||
var: var.clone(),
|
|
||||||
existing: known_types,
|
|
||||||
desired: ValueTypeSet::of_keywords(),
|
|
||||||
}))
|
|
||||||
},
|
|
||||||
}
|
|
||||||
},
|
|
||||||
|
|
||||||
FnArg::Variable(in_var) => {
|
|
||||||
// TODO: technically you could ground an existing variable inside the query….
|
|
||||||
if !self.input_variables.contains(&in_var) {
|
|
||||||
bail!(ErrorKind::UnboundVariable((*in_var.0).clone()));
|
|
||||||
}
|
|
||||||
match self.bound_value(&in_var) {
|
|
||||||
// The type is already known if it's a bound variable….
|
|
||||||
Some(ref in_value) => Ok(Val(in_value.clone())),
|
|
||||||
None => bail!(ErrorKind::UnboundVariable((*in_var.0).clone())),
|
|
||||||
}
|
|
||||||
},
|
|
||||||
|
|
||||||
// This isn't implemented yet.
|
|
||||||
FnArg::Constant(NonIntegerConstant::BigInteger(_)) => unimplemented!(),
|
|
||||||
|
|
||||||
// These don't make sense here.
|
|
||||||
FnArg::Vector(_) |
|
|
||||||
FnArg::SrcVar(_) => bail!(ErrorKind::InvalidGroundConstant),
|
|
||||||
|
|
||||||
// These are all straightforward.
|
|
||||||
FnArg::Constant(NonIntegerConstant::Boolean(x)) => {
|
|
||||||
coerce_to_typed_value!(var, x, known_types, ValueType::Boolean, TypedValue::Boolean)
|
|
||||||
},
|
|
||||||
FnArg::Constant(NonIntegerConstant::Instant(x)) => {
|
|
||||||
coerce_to_typed_value!(var, x, known_types, ValueType::Instant, TypedValue::Instant)
|
|
||||||
},
|
|
||||||
FnArg::Constant(NonIntegerConstant::Uuid(x)) => {
|
|
||||||
coerce_to_typed_value!(var, x, known_types, ValueType::Uuid, TypedValue::Uuid)
|
|
||||||
},
|
|
||||||
FnArg::Constant(NonIntegerConstant::Float(x)) => {
|
|
||||||
coerce_to_typed_value!(var, x, known_types, ValueType::Double, TypedValue::Double)
|
|
||||||
},
|
|
||||||
FnArg::Constant(NonIntegerConstant::Text(x)) => {
|
|
||||||
coerce_to_typed_value!(var, x, known_types, ValueType::String, TypedValue::String)
|
|
||||||
},
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/// Application of `where` functions.
|
/// Application of `where` functions.
|
||||||
impl ConjoiningClauses {
|
impl ConjoiningClauses {
|
||||||
/// There are several kinds of functions binding variables in our Datalog:
|
/// There are several kinds of functions binding variables in our Datalog:
|
||||||
|
@ -202,369 +37,9 @@ impl ConjoiningClauses {
|
||||||
// Because we'll be growing the set of built-in functions, handling each differently, and
|
// Because we'll be growing the set of built-in functions, handling each differently, and
|
||||||
// ultimately allowing user-specified functions, we match on the function name first.
|
// ultimately allowing user-specified functions, we match on the function name first.
|
||||||
match where_fn.operator.0.as_str() {
|
match where_fn.operator.0.as_str() {
|
||||||
|
"fulltext" => self.apply_fulltext(schema, where_fn),
|
||||||
"ground" => self.apply_ground(schema, where_fn),
|
"ground" => self.apply_ground(schema, where_fn),
|
||||||
_ => bail!(ErrorKind::UnknownFunction(where_fn.operator.clone())),
|
_ => bail!(ErrorKind::UnknownFunction(where_fn.operator.clone())),
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
fn apply_ground_place<'s>(&mut self, schema: &'s Schema, var: VariableOrPlaceholder, arg: FnArg) -> Result<()> {
|
|
||||||
match var {
|
|
||||||
VariableOrPlaceholder::Placeholder => Ok(()),
|
|
||||||
VariableOrPlaceholder::Variable(var) => self.apply_ground_var(schema, var, arg),
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/// Constrain the CC to associate the given var with the given ground argument.
|
|
||||||
/// Marks known-empty on failure.
|
|
||||||
fn apply_ground_var<'s>(&mut self, schema: &'s Schema, var: Variable, arg: FnArg) -> Result<()> {
|
|
||||||
let known_types = self.known_type_set(&var);
|
|
||||||
match self.typed_value_from_arg(schema, &var, arg, known_types)? {
|
|
||||||
ValueConversion::Val(value) => self.apply_ground_value(var, value),
|
|
||||||
ValueConversion::Impossible(because) => {
|
|
||||||
self.mark_known_empty(because);
|
|
||||||
Ok(())
|
|
||||||
},
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/// Marks known-empty on failure.
|
|
||||||
fn apply_ground_value(&mut self, var: Variable, value: TypedValue) -> Result<()> {
|
|
||||||
if let Some(existing) = self.bound_value(&var) {
|
|
||||||
if existing != value {
|
|
||||||
self.mark_known_empty(EmptyBecause::ConflictingBindings {
|
|
||||||
var: var.clone(),
|
|
||||||
existing: existing.clone(),
|
|
||||||
desired: value,
|
|
||||||
});
|
|
||||||
return Ok(())
|
|
||||||
}
|
|
||||||
} else {
|
|
||||||
self.bind_value(&var, value.clone());
|
|
||||||
}
|
|
||||||
|
|
||||||
let vt = value.value_type();
|
|
||||||
|
|
||||||
// Check to see whether this variable is already associated to a column.
|
|
||||||
// If so, we want to add an equality filter (or, in the future, redo the existing patterns).
|
|
||||||
if let Some(QualifiedAlias(table, column)) = self.column_bindings
|
|
||||||
.get(&var)
|
|
||||||
.and_then(|vec| vec.get(0).cloned()) {
|
|
||||||
self.constrain_column_to_constant(table, column, value);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Are we also trying to figure out the type of the value when the query runs?
|
|
||||||
// If so, constrain that!
|
|
||||||
if let Some(table) = self.extracted_types.get(&var)
|
|
||||||
.map(|qa| qa.0.clone()) {
|
|
||||||
self.wheres.add_intersection(ColumnConstraint::HasType(table, vt));
|
|
||||||
}
|
|
||||||
|
|
||||||
Ok(())
|
|
||||||
}
|
|
||||||
|
|
||||||
/// Take a relation: a matrix of values which will successively bind to named variables of
|
|
||||||
/// the provided types.
|
|
||||||
/// Construct a computed table to yield this relation.
|
|
||||||
/// This function will panic if some invariants are not met.
|
|
||||||
fn collect_named_bindings<'s>(&mut self, schema: &'s Schema, names: Vec<Variable>, types: Vec<ValueType>, values: Vec<TypedValue>) {
|
|
||||||
if values.is_empty() {
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
|
|
||||||
assert!(!names.is_empty());
|
|
||||||
assert_eq!(names.len(), types.len());
|
|
||||||
assert!(values.len() >= names.len());
|
|
||||||
assert_eq!(values.len() % names.len(), 0); // It's an exact multiple.
|
|
||||||
|
|
||||||
let named_values = ComputedTable::NamedValues {
|
|
||||||
names: names.clone(),
|
|
||||||
values: values,
|
|
||||||
};
|
|
||||||
|
|
||||||
let table = self.computed_tables.push_computed(named_values);
|
|
||||||
let alias = self.next_alias_for_table(table);
|
|
||||||
|
|
||||||
// Stitch the computed table into column_bindings, so we get cross-linking.
|
|
||||||
for (name, ty) in names.iter().zip(types.into_iter()) {
|
|
||||||
self.constrain_var_to_type(name.clone(), ty);
|
|
||||||
self.bind_column_to_var(schema, alias.clone(), VariableColumn::Variable(name.clone()), name.clone());
|
|
||||||
}
|
|
||||||
|
|
||||||
self.from.push(SourceAlias(table, alias));
|
|
||||||
}
|
|
||||||
|
|
||||||
pub fn apply_ground<'s>(&mut self, schema: &'s Schema, where_fn: WhereFn) -> Result<()> {
|
|
||||||
if where_fn.args.len() != 1 {
|
|
||||||
bail!(ErrorKind::InvalidNumberOfArguments(where_fn.operator.clone(), where_fn.args.len(), 1));
|
|
||||||
}
|
|
||||||
|
|
||||||
let mut args = where_fn.args.into_iter();
|
|
||||||
|
|
||||||
if where_fn.binding.is_empty() {
|
|
||||||
// The binding must introduce at least one bound variable.
|
|
||||||
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::NoBoundVariable));
|
|
||||||
}
|
|
||||||
|
|
||||||
if !where_fn.binding.is_valid() {
|
|
||||||
// The binding must not duplicate bound variables.
|
|
||||||
bail!(ErrorKind::InvalidBinding(where_fn.operator.clone(), BindingError::RepeatedBoundVariable));
|
|
||||||
}
|
|
||||||
|
|
||||||
// Scalar and tuple bindings are a little special: because there's only one value,
|
|
||||||
// we can immediately substitute the value as a known value in the CC, additionally
|
|
||||||
// generating a WHERE clause if columns have already been bound.
|
|
||||||
match (where_fn.binding, args.next().unwrap()) {
|
|
||||||
(Binding::BindScalar(var), constant) =>
|
|
||||||
self.apply_ground_var(schema, var, constant),
|
|
||||||
|
|
||||||
(Binding::BindTuple(places), FnArg::Vector(children)) => {
|
|
||||||
// Just the same, but we bind more than one column at a time.
|
|
||||||
if children.len() != places.len() {
|
|
||||||
// Number of arguments don't match the number of values. TODO: better error message.
|
|
||||||
bail!(ErrorKind::GroundBindingsMismatch);
|
|
||||||
}
|
|
||||||
for (place, arg) in places.into_iter().zip(children.into_iter()) {
|
|
||||||
self.apply_ground_place(schema, place, arg)? // TODO: short-circuit on impossible.
|
|
||||||
}
|
|
||||||
Ok(())
|
|
||||||
},
|
|
||||||
|
|
||||||
// Collection bindings and rel bindings are similar in that they are both
|
|
||||||
// implemented as a subquery with a projection list and a set of values.
|
|
||||||
// The difference is that BindColl has only a single variable, and its values
|
|
||||||
// are all in a single structure. That makes it substantially simpler!
|
|
||||||
(Binding::BindColl(var), FnArg::Vector(children)) => {
|
|
||||||
if children.is_empty() {
|
|
||||||
bail!(ErrorKind::InvalidGroundConstant);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Turn a collection of arguments into a Vec of `TypedValue`s of the same type.
|
|
||||||
let known_types = self.known_type_set(&var);
|
|
||||||
// Check that every value has the same type.
|
|
||||||
let mut accumulated_types = ValueTypeSet::none();
|
|
||||||
let mut skip: Option<EmptyBecause> = None;
|
|
||||||
let values = children.into_iter()
|
|
||||||
.filter_map(|arg| -> Option<Result<TypedValue>> {
|
|
||||||
// We need to get conversion errors out.
|
|
||||||
// We also want to mark known-empty on impossibilty, but
|
|
||||||
// still detect serious errors.
|
|
||||||
match self.typed_value_from_arg(schema, &var, arg, known_types) {
|
|
||||||
Ok(ValueConversion::Val(tv)) => {
|
|
||||||
if accumulated_types.insert(tv.value_type()) &&
|
|
||||||
!accumulated_types.is_unit() {
|
|
||||||
// Values not all of the same type.
|
|
||||||
Some(Err(ErrorKind::InvalidGroundConstant.into()))
|
|
||||||
} else {
|
|
||||||
Some(Ok(tv))
|
|
||||||
}
|
|
||||||
},
|
|
||||||
Ok(ValueConversion::Impossible(because)) => {
|
|
||||||
// Skip this value.
|
|
||||||
skip = Some(because);
|
|
||||||
None
|
|
||||||
},
|
|
||||||
Err(e) => Some(Err(e.into())),
|
|
||||||
}
|
|
||||||
})
|
|
||||||
.collect::<Result<Vec<TypedValue>>>()?;
|
|
||||||
|
|
||||||
if values.is_empty() {
|
|
||||||
let because = skip.expect("we skipped all rows for a reason");
|
|
||||||
self.mark_known_empty(because);
|
|
||||||
return Ok(());
|
|
||||||
}
|
|
||||||
|
|
||||||
// Otherwise, we now have the values and the type.
|
|
||||||
let types = vec![accumulated_types.exemplar().unwrap()];
|
|
||||||
let names = vec![var.clone()];
|
|
||||||
|
|
||||||
self.collect_named_bindings(schema, names, types, values);
|
|
||||||
Ok(())
|
|
||||||
},
|
|
||||||
|
|
||||||
(Binding::BindRel(places), FnArg::Vector(rows)) => {
|
|
||||||
if rows.is_empty() {
|
|
||||||
bail!(ErrorKind::InvalidGroundConstant);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Grab the known types to which these args must conform, and track
|
|
||||||
// the places that won't be bound in the output.
|
|
||||||
let template: Vec<Option<(Variable, ValueTypeSet)>> =
|
|
||||||
places.iter()
|
|
||||||
.map(|x| match x {
|
|
||||||
&VariableOrPlaceholder::Placeholder => None,
|
|
||||||
&VariableOrPlaceholder::Variable(ref v) => Some((v.clone(), self.known_type_set(v))),
|
|
||||||
})
|
|
||||||
.collect();
|
|
||||||
|
|
||||||
// The expected 'width' of the matrix is the number of named variables.
|
|
||||||
let full_width = places.len();
|
|
||||||
let names: Vec<Variable> = places.into_iter().filter_map(|x| x.into_var()).collect();
|
|
||||||
let expected_width = names.len();
|
|
||||||
let expected_rows = rows.len();
|
|
||||||
|
|
||||||
if expected_width == 0 {
|
|
||||||
// They can't all be placeholders.
|
|
||||||
bail!(ErrorKind::InvalidGroundConstant);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Accumulate values into `matrix` and types into `a_t_f_c`.
|
|
||||||
// This representation of a rectangular matrix is more efficient than one composed
|
|
||||||
// of N separate vectors.
|
|
||||||
let mut matrix = Vec::with_capacity(expected_width * expected_rows);
|
|
||||||
let mut accumulated_types_for_columns = vec![ValueTypeSet::none(); expected_width];
|
|
||||||
|
|
||||||
// Loop so we can bail out.
|
|
||||||
let mut skipped_all: Option<EmptyBecause> = None;
|
|
||||||
for row in rows.into_iter() {
|
|
||||||
match row {
|
|
||||||
FnArg::Vector(cols) => {
|
|
||||||
// Make sure that every row is the same length.
|
|
||||||
if cols.len() != full_width {
|
|
||||||
bail!(ErrorKind::InvalidGroundConstant);
|
|
||||||
}
|
|
||||||
|
|
||||||
// TODO: don't accumulate twice.
|
|
||||||
let mut vals = Vec::with_capacity(expected_width);
|
|
||||||
let mut skip: Option<EmptyBecause> = None;
|
|
||||||
for (col, pair) in cols.into_iter().zip(template.iter()) {
|
|
||||||
// Now we have (val, Option<(name, known_types)>). Silly,
|
|
||||||
// but this is how we iter!
|
|
||||||
// Convert each item in the row.
|
|
||||||
// If any value in the row is impossible, then skip the row.
|
|
||||||
// If all rows are impossible, fail the entire CC.
|
|
||||||
if let &Some(ref pair) = pair {
|
|
||||||
match self.typed_value_from_arg(schema, &pair.0, col, pair.1)? {
|
|
||||||
ValueConversion::Val(tv) => vals.push(tv),
|
|
||||||
ValueConversion::Impossible(because) => {
|
|
||||||
// Skip this row. It cannot produce bindings.
|
|
||||||
skip = Some(because);
|
|
||||||
break;
|
|
||||||
},
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
if skip.is_some() {
|
|
||||||
// Skip this row and record why, in case we skip all.
|
|
||||||
skipped_all = skip;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
// Accumulate the values into the matrix and the types into the type set.
|
|
||||||
for (val, acc) in vals.into_iter().zip(accumulated_types_for_columns.iter_mut()) {
|
|
||||||
let inserted = acc.insert(val.value_type());
|
|
||||||
if inserted && !acc.is_unit() {
|
|
||||||
// Heterogeneous types.
|
|
||||||
bail!(ErrorKind::InvalidGroundConstant);
|
|
||||||
}
|
|
||||||
matrix.push(val);
|
|
||||||
}
|
|
||||||
|
|
||||||
},
|
|
||||||
_ => bail!(ErrorKind::InvalidGroundConstant),
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
// Do we have rows? If not, the CC cannot succeed.
|
|
||||||
if matrix.is_empty() {
|
|
||||||
// We will either have bailed or will have accumulated *something* into the matrix,
|
|
||||||
// so we can safely unwrap here.
|
|
||||||
self.mark_known_empty(skipped_all.expect("we skipped for a reason"));
|
|
||||||
return Ok(());
|
|
||||||
}
|
|
||||||
|
|
||||||
// Take the single type from each set. We know there's only one: we got at least one
|
|
||||||
// type, 'cos we bailed out for zero rows, and we also bailed out each time we
|
|
||||||
// inserted a second type.
|
|
||||||
// By restricting to homogeneous columns, we greatly simplify projection. In the
|
|
||||||
// future, we could loosen this restriction, at the cost of projecting (some) value
|
|
||||||
// type tags. If and when we want to algebrize in two phases and allow for
|
|
||||||
// late-binding input variables, we'll probably be able to loosen this restriction
|
|
||||||
// with little penalty.
|
|
||||||
let types = accumulated_types_for_columns.into_iter()
|
|
||||||
.map(|x| x.exemplar().unwrap())
|
|
||||||
.collect();
|
|
||||||
self.collect_named_bindings(schema, names, types, matrix);
|
|
||||||
Ok(())
|
|
||||||
},
|
|
||||||
(_, _) => bail!(ErrorKind::InvalidGroundConstant),
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
#[cfg(test)]
|
|
||||||
mod testing {
|
|
||||||
use super::*;
|
|
||||||
|
|
||||||
use mentat_core::{
|
|
||||||
Attribute,
|
|
||||||
ValueType,
|
|
||||||
};
|
|
||||||
|
|
||||||
use mentat_query::{
|
|
||||||
Binding,
|
|
||||||
FnArg,
|
|
||||||
NamespacedKeyword,
|
|
||||||
PlainSymbol,
|
|
||||||
Variable,
|
|
||||||
};
|
|
||||||
|
|
||||||
use clauses::{
|
|
||||||
add_attribute,
|
|
||||||
associate_ident,
|
|
||||||
};
|
|
||||||
|
|
||||||
use types::{
|
|
||||||
ValueTypeSet,
|
|
||||||
};
|
|
||||||
|
|
||||||
#[test]
|
|
||||||
fn test_apply_ground() {
|
|
||||||
let vz = Variable::from_valid_name("?z");
|
|
||||||
|
|
||||||
let mut cc = ConjoiningClauses::default();
|
|
||||||
let mut schema = Schema::default();
|
|
||||||
|
|
||||||
associate_ident(&mut schema, NamespacedKeyword::new("foo", "fts"), 100);
|
|
||||||
add_attribute(&mut schema, 100, Attribute {
|
|
||||||
value_type: ValueType::String,
|
|
||||||
index: true,
|
|
||||||
fulltext: true,
|
|
||||||
..Default::default()
|
|
||||||
});
|
|
||||||
|
|
||||||
// It's awkward enough to write these expansions that we give the details for the simplest
|
|
||||||
// case only. See the tests of the translator for more extensive (albeit looser) coverage.
|
|
||||||
let op = PlainSymbol::new("ground");
|
|
||||||
cc.apply_ground(&schema, WhereFn {
|
|
||||||
operator: op,
|
|
||||||
args: vec![
|
|
||||||
FnArg::EntidOrInteger(10),
|
|
||||||
],
|
|
||||||
binding: Binding::BindScalar(vz.clone()),
|
|
||||||
}).expect("to be able to apply_ground");
|
|
||||||
|
|
||||||
assert!(!cc.is_known_empty());
|
|
||||||
|
|
||||||
// Finally, expand column bindings.
|
|
||||||
cc.expand_column_bindings();
|
|
||||||
assert!(!cc.is_known_empty());
|
|
||||||
|
|
||||||
let clauses = cc.wheres;
|
|
||||||
assert_eq!(clauses.len(), 0);
|
|
||||||
|
|
||||||
let column_bindings = cc.column_bindings;
|
|
||||||
assert_eq!(column_bindings.len(), 0); // Scalar doesn't need this.
|
|
||||||
|
|
||||||
let known_types = cc.known_types;
|
|
||||||
assert_eq!(known_types.len(), 1);
|
|
||||||
assert_eq!(known_types.get(&vz).expect("to know the type of ?z"),
|
|
||||||
&ValueTypeSet::of_one(ValueType::Long));
|
|
||||||
|
|
||||||
let value_bindings = cc.value_bindings;
|
|
||||||
assert_eq!(value_bindings.len(), 1);
|
|
||||||
assert_eq!(value_bindings.get(&vz).expect("to have a value for ?z"),
|
|
||||||
&TypedValue::Long(10)); // We default to Long instead of entid.
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -21,7 +21,16 @@ use self::mentat_query::{
|
||||||
#[derive(Clone, Debug, Eq, PartialEq)]
|
#[derive(Clone, Debug, Eq, PartialEq)]
|
||||||
pub enum BindingError {
|
pub enum BindingError {
|
||||||
NoBoundVariable,
|
NoBoundVariable,
|
||||||
|
UnexpectedBinding,
|
||||||
RepeatedBoundVariable, // TODO: include repeated variable(s).
|
RepeatedBoundVariable, // TODO: include repeated variable(s).
|
||||||
|
|
||||||
|
/// Expected `[[?x ?y]]` but got some other type of binding. Mentat is deliberately more strict
|
||||||
|
/// than Datomic: we won't try to make sense of non-obvious (and potentially erroneous) bindings.
|
||||||
|
ExpectedBindRel,
|
||||||
|
|
||||||
|
/// Expected `[?x1 … ?xN]` or `[[?x1 … ?xN]]` but got some other number of bindings. Mentat is
|
||||||
|
/// deliberately more strict than Datomic: we prefer placeholders to omission.
|
||||||
|
InvalidNumberOfBindings { number: usize, expected: usize },
|
||||||
}
|
}
|
||||||
|
|
||||||
error_chain! {
|
error_chain! {
|
||||||
|
|
|
@ -217,6 +217,7 @@ pub use types::{
|
||||||
ComputedTable,
|
ComputedTable,
|
||||||
DatomsColumn,
|
DatomsColumn,
|
||||||
DatomsTable,
|
DatomsTable,
|
||||||
|
FulltextColumn,
|
||||||
OrderBy,
|
OrderBy,
|
||||||
QualifiedAlias,
|
QualifiedAlias,
|
||||||
QueryValue,
|
QueryValue,
|
||||||
|
|
|
@ -85,6 +85,13 @@ pub enum DatomsColumn {
|
||||||
ValueTypeTag,
|
ValueTypeTag,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/// One of the named columns of our fulltext values table.
|
||||||
|
#[derive(PartialEq, Eq, Clone)]
|
||||||
|
pub enum FulltextColumn {
|
||||||
|
Rowid,
|
||||||
|
Text,
|
||||||
|
}
|
||||||
|
|
||||||
#[derive(PartialEq, Eq, Clone)]
|
#[derive(PartialEq, Eq, Clone)]
|
||||||
pub enum VariableColumn {
|
pub enum VariableColumn {
|
||||||
Variable(Variable),
|
Variable(Variable),
|
||||||
|
@ -94,6 +101,7 @@ pub enum VariableColumn {
|
||||||
#[derive(PartialEq, Eq, Clone)]
|
#[derive(PartialEq, Eq, Clone)]
|
||||||
pub enum Column {
|
pub enum Column {
|
||||||
Fixed(DatomsColumn),
|
Fixed(DatomsColumn),
|
||||||
|
Fulltext(FulltextColumn),
|
||||||
Variable(VariableColumn),
|
Variable(VariableColumn),
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -157,11 +165,34 @@ impl Debug for Column {
|
||||||
fn fmt(&self, f: &mut Formatter) -> Result {
|
fn fmt(&self, f: &mut Formatter) -> Result {
|
||||||
match self {
|
match self {
|
||||||
&Column::Fixed(ref c) => c.fmt(f),
|
&Column::Fixed(ref c) => c.fmt(f),
|
||||||
|
&Column::Fulltext(ref c) => c.fmt(f),
|
||||||
&Column::Variable(ref v) => v.fmt(f),
|
&Column::Variable(ref v) => v.fmt(f),
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
impl FulltextColumn {
|
||||||
|
pub fn as_str(&self) -> &'static str {
|
||||||
|
use self::FulltextColumn::*;
|
||||||
|
match *self {
|
||||||
|
Rowid => "rowid",
|
||||||
|
Text => "text",
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
impl ColumnName for FulltextColumn {
|
||||||
|
fn column_name(&self) -> String {
|
||||||
|
self.as_str().to_string()
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
impl Debug for FulltextColumn {
|
||||||
|
fn fmt(&self, f: &mut Formatter) -> Result {
|
||||||
|
write!(f, "{}", self.as_str())
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
/// A specific instance of a table within a query. E.g., "datoms123".
|
/// A specific instance of a table within a query. E.g., "datoms123".
|
||||||
pub type TableAlias = String;
|
pub type TableAlias = String;
|
||||||
|
|
||||||
|
@ -301,6 +332,9 @@ pub enum ColumnConstraint {
|
||||||
},
|
},
|
||||||
HasType(TableAlias, ValueType),
|
HasType(TableAlias, ValueType),
|
||||||
NotExists(ComputedTable),
|
NotExists(ComputedTable),
|
||||||
|
// TODO: Merge this with NumericInequality? I expect the fine-grained information to be
|
||||||
|
// valuable when optimizing.
|
||||||
|
Matches(QualifiedAlias, QueryValue),
|
||||||
}
|
}
|
||||||
|
|
||||||
#[derive(PartialEq, Eq, Debug)]
|
#[derive(PartialEq, Eq, Debug)]
|
||||||
|
@ -411,6 +445,10 @@ impl Debug for ColumnConstraint {
|
||||||
write!(f, "{:?} {:?} {:?}", left, operator, right)
|
write!(f, "{:?} {:?} {:?}", left, operator, right)
|
||||||
},
|
},
|
||||||
|
|
||||||
|
&Matches(ref qa, ref thing) => {
|
||||||
|
write!(f, "{:?} MATCHES {:?}", qa, thing)
|
||||||
|
},
|
||||||
|
|
||||||
&HasType(ref qa, value_type) => {
|
&HasType(ref qa, value_type) => {
|
||||||
write!(f, "{:?}.value_type_tag = {:?}", qa, value_type)
|
write!(f, "{:?}.value_type_tag = {:?}", qa, value_type)
|
||||||
},
|
},
|
||||||
|
@ -426,6 +464,7 @@ pub enum EmptyBecause {
|
||||||
ConflictingBindings { var: Variable, existing: TypedValue, desired: TypedValue },
|
ConflictingBindings { var: Variable, existing: TypedValue, desired: TypedValue },
|
||||||
TypeMismatch { var: Variable, existing: ValueTypeSet, desired: ValueTypeSet },
|
TypeMismatch { var: Variable, existing: ValueTypeSet, desired: ValueTypeSet },
|
||||||
NoValidTypes(Variable),
|
NoValidTypes(Variable),
|
||||||
|
NonAttributeArgument,
|
||||||
NonNumericArgument,
|
NonNumericArgument,
|
||||||
NonStringFulltextValue,
|
NonStringFulltextValue,
|
||||||
UnresolvedIdent(NamespacedKeyword),
|
UnresolvedIdent(NamespacedKeyword),
|
||||||
|
@ -451,6 +490,9 @@ impl Debug for EmptyBecause {
|
||||||
&NoValidTypes(ref var) => {
|
&NoValidTypes(ref var) => {
|
||||||
write!(f, "Type mismatch: {:?} has no valid types", var)
|
write!(f, "Type mismatch: {:?} has no valid types", var)
|
||||||
},
|
},
|
||||||
|
&NonAttributeArgument => {
|
||||||
|
write!(f, "Non-attribute argument in attribute place")
|
||||||
|
},
|
||||||
&NonNumericArgument => {
|
&NonNumericArgument => {
|
||||||
write!(f, "Non-numeric argument in numeric place")
|
write!(f, "Non-numeric argument in numeric place")
|
||||||
},
|
},
|
||||||
|
@ -582,3 +624,28 @@ impl ValueTypeSet {
|
||||||
self.0.len() == 1
|
self.0.len() == 1
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
impl IntoIterator for ValueTypeSet {
|
||||||
|
type Item = ValueType;
|
||||||
|
type IntoIter = ::enum_set::Iter<ValueType>;
|
||||||
|
|
||||||
|
fn into_iter(self) -> Self::IntoIter {
|
||||||
|
self.0.into_iter()
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
impl ::std::iter::FromIterator<ValueType> for ValueTypeSet {
|
||||||
|
fn from_iter<I: IntoIterator<Item = ValueType>>(iterator: I) -> Self {
|
||||||
|
let mut ret = Self::none();
|
||||||
|
ret.0.extend(iterator);
|
||||||
|
ret
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
impl ::std::iter::Extend<ValueType> for ValueTypeSet {
|
||||||
|
fn extend<I: IntoIterator<Item = ValueType>>(&mut self, iter: I) {
|
||||||
|
for element in iter {
|
||||||
|
self.0.insert(element);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
102
query-algebrizer/tests/fulltext.rs
Normal file
102
query-algebrizer/tests/fulltext.rs
Normal file
|
@ -0,0 +1,102 @@
|
||||||
|
// Copyright 2016 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.
|
||||||
|
|
||||||
|
extern crate mentat_core;
|
||||||
|
extern crate mentat_query;
|
||||||
|
extern crate mentat_query_algebrizer;
|
||||||
|
extern crate mentat_query_parser;
|
||||||
|
|
||||||
|
use mentat_core::{
|
||||||
|
Attribute,
|
||||||
|
Entid,
|
||||||
|
Schema,
|
||||||
|
ValueType,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query_parser::{
|
||||||
|
parse_find_string,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query::{
|
||||||
|
NamespacedKeyword,
|
||||||
|
};
|
||||||
|
|
||||||
|
use mentat_query_algebrizer::{
|
||||||
|
ConjoiningClauses,
|
||||||
|
algebrize,
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
|
// These are helpers that tests use to build Schema instances.
|
||||||
|
fn associate_ident(schema: &mut Schema, i: NamespacedKeyword, e: Entid) {
|
||||||
|
schema.entid_map.insert(e, i.clone());
|
||||||
|
schema.ident_map.insert(i.clone(), e);
|
||||||
|
}
|
||||||
|
|
||||||
|
fn add_attribute(schema: &mut Schema, e: Entid, a: Attribute) {
|
||||||
|
schema.schema_map.insert(e, a);
|
||||||
|
}
|
||||||
|
|
||||||
|
fn prepopulated_schema() -> Schema {
|
||||||
|
let mut schema = Schema::default();
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "name"), 65);
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "description"), 66);
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "parent"), 67);
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "age"), 68);
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "height"), 69);
|
||||||
|
add_attribute(&mut schema, 65, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
multival: false,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
add_attribute(&mut schema, 66, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
fulltext: true,
|
||||||
|
multival: true,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
add_attribute(&mut schema, 67, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
multival: true,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
add_attribute(&mut schema, 68, Attribute {
|
||||||
|
value_type: ValueType::Long,
|
||||||
|
multival: false,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
add_attribute(&mut schema, 69, Attribute {
|
||||||
|
value_type: ValueType::Long,
|
||||||
|
multival: false,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
|
schema
|
||||||
|
}
|
||||||
|
|
||||||
|
fn alg(schema: &Schema, input: &str) -> ConjoiningClauses {
|
||||||
|
let parsed = parse_find_string(input).expect("query input to have parsed");
|
||||||
|
algebrize(schema.into(), parsed).expect("algebrizing to have succeeded").cc
|
||||||
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_apply_fulltext() {
|
||||||
|
let schema = prepopulated_schema();
|
||||||
|
|
||||||
|
// If you use a non-FTS attribute, we will short-circuit.
|
||||||
|
let query = r#"[:find ?val
|
||||||
|
:where [(fulltext $ :foo/name "hello") [[?entity ?val _ _]]]]"#;
|
||||||
|
assert!(alg(&schema, query).is_known_empty());
|
||||||
|
|
||||||
|
// If you get a type mismatch, we will short-circuit.
|
||||||
|
let query = r#"[:find ?val
|
||||||
|
:where [(fulltext $ :foo/description "hello") [[?entity ?val ?tx ?score]]]
|
||||||
|
[?score :foo/bar _]]"#;
|
||||||
|
assert!(alg(&schema, query).is_known_empty());
|
||||||
|
}
|
|
@ -13,6 +13,8 @@ extern crate mentat_query;
|
||||||
extern crate mentat_query_algebrizer;
|
extern crate mentat_query_algebrizer;
|
||||||
extern crate mentat_query_parser;
|
extern crate mentat_query_parser;
|
||||||
|
|
||||||
|
use std::collections::BTreeMap;
|
||||||
|
|
||||||
use mentat_core::{
|
use mentat_core::{
|
||||||
Attribute,
|
Attribute,
|
||||||
Entid,
|
Entid,
|
||||||
|
@ -37,7 +39,9 @@ use mentat_query_algebrizer::{
|
||||||
ComputedTable,
|
ComputedTable,
|
||||||
Error,
|
Error,
|
||||||
ErrorKind,
|
ErrorKind,
|
||||||
|
QueryInputs,
|
||||||
algebrize,
|
algebrize,
|
||||||
|
algebrize_with_inputs,
|
||||||
};
|
};
|
||||||
|
|
||||||
// These are helpers that tests use to build Schema instances.
|
// These are helpers that tests use to build Schema instances.
|
||||||
|
@ -92,6 +96,11 @@ fn bails(schema: &Schema, input: &str) -> Error {
|
||||||
algebrize(schema.into(), parsed).expect_err("algebrize to have failed")
|
algebrize(schema.into(), parsed).expect_err("algebrize to have failed")
|
||||||
}
|
}
|
||||||
|
|
||||||
|
fn bails_with_inputs(schema: &Schema, input: &str, inputs: QueryInputs) -> Error {
|
||||||
|
let parsed = parse_find_string(input).expect("query input to have parsed");
|
||||||
|
algebrize_with_inputs(schema, parsed, 0, inputs).expect_err("algebrize to have failed")
|
||||||
|
}
|
||||||
|
|
||||||
fn alg(schema: &Schema, input: &str) -> ConjoiningClauses {
|
fn alg(schema: &Schema, input: &str) -> ConjoiningClauses {
|
||||||
let parsed = parse_find_string(input).expect("query input to have parsed");
|
let parsed = parse_find_string(input).expect("query input to have parsed");
|
||||||
algebrize(schema.into(), parsed).expect("algebrizing to have succeeded").cc
|
algebrize(schema.into(), parsed).expect("algebrizing to have succeeded").cc
|
||||||
|
@ -313,3 +322,26 @@ fn test_ground_nonexistent_variable_invalid() {
|
||||||
},
|
},
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_unbound_input_variable_invalid() {
|
||||||
|
let schema = prepopulated_schema();
|
||||||
|
let q = r#"[:find ?y ?age :in ?x :where [(ground [?x]) [?y ...]] [?y :foo/age ?age]]"#;
|
||||||
|
|
||||||
|
// This fails even if we know the type: we don't support grounding bindings
|
||||||
|
// that aren't known at algebrizing time.
|
||||||
|
let mut types = BTreeMap::default();
|
||||||
|
types.insert(Variable::from_valid_name("?x"), ValueType::Ref);
|
||||||
|
|
||||||
|
let i = QueryInputs::new(types, BTreeMap::default()).expect("valid QueryInputs");
|
||||||
|
|
||||||
|
let e = bails_with_inputs(&schema, &q, i);
|
||||||
|
match e {
|
||||||
|
Error(ErrorKind::UnboundVariable(v), _) => {
|
||||||
|
assert_eq!(v.0, "?x");
|
||||||
|
},
|
||||||
|
_ => {
|
||||||
|
panic!();
|
||||||
|
},
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
|
@ -124,6 +124,14 @@ impl Constraint {
|
||||||
right: right,
|
right: right,
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
pub fn fulltext_match(left: ColumnOrExpression, right: ColumnOrExpression) -> Constraint {
|
||||||
|
Constraint::Infix {
|
||||||
|
op: Op("MATCH"), // SQLite specific!
|
||||||
|
left: left,
|
||||||
|
right: right,
|
||||||
|
}
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
#[allow(dead_code)]
|
#[allow(dead_code)]
|
||||||
|
@ -198,6 +206,10 @@ fn push_column(qb: &mut QueryBuilder, col: &Column) -> BuildQueryResult {
|
||||||
qb.push_sql(d.as_str());
|
qb.push_sql(d.as_str());
|
||||||
Ok(())
|
Ok(())
|
||||||
},
|
},
|
||||||
|
&Column::Fulltext(ref d) => {
|
||||||
|
qb.push_sql(d.as_str());
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
&Column::Variable(ref vc) => push_variable_column(qb, vc),
|
&Column::Variable(ref vc) => push_variable_column(qb, vc),
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
@ -555,22 +567,30 @@ impl SelectQuery {
|
||||||
#[cfg(test)]
|
#[cfg(test)]
|
||||||
mod tests {
|
mod tests {
|
||||||
use super::*;
|
use super::*;
|
||||||
|
use std::rc::Rc;
|
||||||
|
|
||||||
use mentat_query_algebrizer::{
|
use mentat_query_algebrizer::{
|
||||||
|
Column,
|
||||||
DatomsColumn,
|
DatomsColumn,
|
||||||
DatomsTable,
|
DatomsTable,
|
||||||
|
FulltextColumn,
|
||||||
};
|
};
|
||||||
|
|
||||||
fn build(c: &QueryFragment) -> String {
|
fn build_query(c: &QueryFragment) -> SQLQuery {
|
||||||
let mut builder = SQLiteQueryBuilder::new();
|
let mut builder = SQLiteQueryBuilder::new();
|
||||||
c.push_sql(&mut builder)
|
c.push_sql(&mut builder)
|
||||||
.map(|_| builder.finish())
|
.map(|_| builder.finish())
|
||||||
.unwrap().sql
|
.expect("to produce a query for the given constraint")
|
||||||
|
}
|
||||||
|
|
||||||
|
fn build(c: &QueryFragment) -> String {
|
||||||
|
build_query(c).sql
|
||||||
}
|
}
|
||||||
|
|
||||||
#[test]
|
#[test]
|
||||||
fn test_in_constraint() {
|
fn test_in_constraint() {
|
||||||
let none = Constraint::In {
|
let none = Constraint::In {
|
||||||
left: ColumnOrExpression::Column(QualifiedAlias::new("datoms01".to_string(), DatomsColumn::Value)),
|
left: ColumnOrExpression::Column(QualifiedAlias::new("datoms01".to_string(), Column::Fixed(DatomsColumn::Value))),
|
||||||
list: vec![],
|
list: vec![],
|
||||||
};
|
};
|
||||||
|
|
||||||
|
@ -651,6 +671,25 @@ mod tests {
|
||||||
"SELECT 0 AS `?a`, 0 AS `?b` WHERE 0 UNION ALL VALUES (0, 1), (1, 2)");
|
"SELECT 0 AS `?a`, 0 AS `?b` WHERE 0 UNION ALL VALUES (0, 1), (1, 2)");
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_matches_constraint() {
|
||||||
|
let c = Constraint::Infix {
|
||||||
|
op: Op("MATCHES"),
|
||||||
|
left: ColumnOrExpression::Column(QualifiedAlias("fulltext01".to_string(), Column::Fulltext(FulltextColumn::Text))),
|
||||||
|
right: ColumnOrExpression::Value(TypedValue::String(Rc::new("needle".to_string()))),
|
||||||
|
};
|
||||||
|
let q = build_query(&c);
|
||||||
|
assert_eq!("`fulltext01`.text MATCHES $v0", q.sql);
|
||||||
|
assert_eq!(vec![("$v0".to_string(), Rc::new(mentat_sql::Value::Text("needle".to_string())))], q.args);
|
||||||
|
|
||||||
|
let c = Constraint::Infix {
|
||||||
|
op: Op("="),
|
||||||
|
left: ColumnOrExpression::Column(QualifiedAlias("fulltext01".to_string(), Column::Fulltext(FulltextColumn::Rowid))),
|
||||||
|
right: ColumnOrExpression::Column(QualifiedAlias("datoms02".to_string(), Column::Fixed(DatomsColumn::Value))),
|
||||||
|
};
|
||||||
|
assert_eq!("`fulltext01`.rowid = `datoms02`.v", build(&c));
|
||||||
|
}
|
||||||
|
|
||||||
#[test]
|
#[test]
|
||||||
fn test_end_to_end() {
|
fn test_end_to_end() {
|
||||||
// [:find ?x :where [?x 65537 ?v] [?x 65536 ?v]]
|
// [:find ?x :where [?x 65537 ?v] [?x 65536 ?v]]
|
||||||
|
|
|
@ -148,6 +148,14 @@ impl ToConstraint for ColumnConstraint {
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
|
||||||
|
Matches(left, right) => {
|
||||||
|
Constraint::Infix {
|
||||||
|
op: Op("MATCH"),
|
||||||
|
left: ColumnOrExpression::Column(left),
|
||||||
|
right: right.into(),
|
||||||
|
}
|
||||||
|
},
|
||||||
|
|
||||||
HasType(table, value_type) => {
|
HasType(table, value_type) => {
|
||||||
let column = QualifiedAlias::new(table, DatomsColumn::ValueTypeTag).to_column();
|
let column = QualifiedAlias::new(table, DatomsColumn::ValueTypeTag).to_column();
|
||||||
Constraint::equal(column, ColumnOrExpression::Integer(value_type.value_type_tag()))
|
Constraint::equal(column, ColumnOrExpression::Integer(value_type.value_type_tag()))
|
||||||
|
|
|
@ -15,6 +15,8 @@ extern crate mentat_query_parser;
|
||||||
extern crate mentat_query_translator;
|
extern crate mentat_query_translator;
|
||||||
extern crate mentat_sql;
|
extern crate mentat_sql;
|
||||||
|
|
||||||
|
use std::collections::BTreeMap;
|
||||||
|
|
||||||
use std::rc::Rc;
|
use std::rc::Rc;
|
||||||
|
|
||||||
use mentat_query::{
|
use mentat_query::{
|
||||||
|
@ -69,6 +71,13 @@ fn prepopulated_typed_schema(foo_type: ValueType) -> Schema {
|
||||||
value_type: foo_type,
|
value_type: foo_type,
|
||||||
..Default::default()
|
..Default::default()
|
||||||
});
|
});
|
||||||
|
associate_ident(&mut schema, NamespacedKeyword::new("foo", "fts"), 100);
|
||||||
|
add_attribute(&mut schema, 100, Attribute {
|
||||||
|
value_type: ValueType::String,
|
||||||
|
index: true,
|
||||||
|
fulltext: true,
|
||||||
|
..Default::default()
|
||||||
|
});
|
||||||
schema
|
schema
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -226,7 +235,7 @@ fn test_unknown_attribute_double_value() {
|
||||||
|
|
||||||
// In general, doubles _could_ be 1.0, which might match a boolean or a ref. Set tag = 5 to
|
// In general, doubles _could_ be 1.0, which might match a boolean or a ref. Set tag = 5 to
|
||||||
// make sure we only match numbers.
|
// make sure we only match numbers.
|
||||||
assert_eq!(sql, "SELECT DISTINCT `datoms00`.e AS `?x` FROM `datoms` AS `datoms00` WHERE `datoms00`.v = 9.95 AND `datoms00`.value_type_tag = 5");
|
assert_eq!(sql, "SELECT DISTINCT `datoms00`.e AS `?x` FROM `datoms` AS `datoms00` WHERE `datoms00`.v = 9.95e0 AND `datoms00`.value_type_tag = 5");
|
||||||
assert_eq!(args, vec![]);
|
assert_eq!(args, vec![]);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -295,7 +304,7 @@ fn test_numeric_gte_known_attribute() {
|
||||||
let schema = prepopulated_typed_schema(ValueType::Double);
|
let schema = prepopulated_typed_schema(ValueType::Double);
|
||||||
let query = r#"[:find ?x :where [?x :foo/bar ?y] [(>= ?y 12.9)]]"#;
|
let query = r#"[:find ?x :where [?x :foo/bar ?y] [(>= ?y 12.9)]]"#;
|
||||||
let SQLQuery { sql, args } = translate(&schema, query);
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
assert_eq!(sql, "SELECT DISTINCT `datoms00`.e AS `?x` FROM `datoms` AS `datoms00` WHERE `datoms00`.a = 99 AND `datoms00`.v >= 12.9");
|
assert_eq!(sql, "SELECT DISTINCT `datoms00`.e AS `?x` FROM `datoms` AS `datoms00` WHERE `datoms00`.a = 99 AND `datoms00`.v >= 1.29e1");
|
||||||
assert_eq!(args, vec![]);
|
assert_eq!(args, vec![]);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -727,3 +736,155 @@ fn test_not_with_ground() {
|
||||||
(SELECT 1 FROM (SELECT 0 AS `?v` WHERE 0 UNION ALL VALUES (28), (29)) AS `c00` \
|
(SELECT 1 FROM (SELECT 0 AS `?v` WHERE 0 UNION ALL VALUES (28), (29)) AS `c00` \
|
||||||
WHERE `datoms00`.v = `c00`.`?v`)");
|
WHERE `datoms00`.v = `c00`.`?v`)");
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_fulltext() {
|
||||||
|
let schema = prepopulated_typed_schema(ValueType::Double);
|
||||||
|
|
||||||
|
let query = r#"[:find ?entity ?value ?tx ?score :where [(fulltext $ :foo/fts "needle") [[?entity ?value ?tx ?score]]]]"#;
|
||||||
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `datoms01`.e AS `?entity`, \
|
||||||
|
`fulltext_values00`.text AS `?value`, \
|
||||||
|
`datoms01`.tx AS `?tx`, \
|
||||||
|
0e0 AS `?score` \
|
||||||
|
FROM `fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "needle"),]);
|
||||||
|
|
||||||
|
let query = r#"[:find ?entity ?value ?tx :where [(fulltext $ :foo/fts "needle") [[?entity ?value ?tx ?score]]]]"#;
|
||||||
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
|
// Observe that the computed table isn't dropped, even though `?score` isn't bound in the final conjoining clause.
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `datoms01`.e AS `?entity`, \
|
||||||
|
`fulltext_values00`.text AS `?value`, \
|
||||||
|
`datoms01`.tx AS `?tx` \
|
||||||
|
FROM `fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "needle"),]);
|
||||||
|
|
||||||
|
let query = r#"[:find ?entity ?value ?tx :where [(fulltext $ :foo/fts "needle") [[?entity ?value ?tx _]]]]"#;
|
||||||
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
|
// Observe that the computed table isn't included at all when `?score` isn't bound.
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `datoms01`.e AS `?entity`, \
|
||||||
|
`fulltext_values00`.text AS `?value`, \
|
||||||
|
`datoms01`.tx AS `?tx` \
|
||||||
|
FROM `fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "needle"),]);
|
||||||
|
|
||||||
|
let query = r#"[:find ?entity ?value ?tx :where [(fulltext $ :foo/fts "needle") [[?entity ?value ?tx ?score]]] [?entity :foo/bar ?score]]"#;
|
||||||
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `datoms01`.e AS `?entity`, \
|
||||||
|
`fulltext_values00`.text AS `?value`, \
|
||||||
|
`datoms01`.tx AS `?tx` \
|
||||||
|
FROM `fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01`, \
|
||||||
|
`datoms` AS `datoms02` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0 \
|
||||||
|
AND `datoms02`.a = 99 \
|
||||||
|
AND `datoms02`.v = 0e0 \
|
||||||
|
AND `datoms01`.e = `datoms02`.e");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "needle"),]);
|
||||||
|
|
||||||
|
let query = r#"[:find ?entity ?value ?tx :where [?entity :foo/bar ?score] [(fulltext $ :foo/fts "needle") [[?entity ?value ?tx ?score]]]]"#;
|
||||||
|
let SQLQuery { sql, args } = translate(&schema, query);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `datoms00`.e AS `?entity`, \
|
||||||
|
`fulltext_values01`.text AS `?value`, \
|
||||||
|
`datoms02`.tx AS `?tx` \
|
||||||
|
FROM `datoms` AS `datoms00`, \
|
||||||
|
`fulltext_values` AS `fulltext_values01`, \
|
||||||
|
`datoms` AS `datoms02` \
|
||||||
|
WHERE `datoms00`.a = 99 \
|
||||||
|
AND `datoms02`.a = 100 \
|
||||||
|
AND `datoms02`.v = `fulltext_values01`.rowid \
|
||||||
|
AND `fulltext_values01`.text MATCH $v0 \
|
||||||
|
AND `datoms00`.v = 0e0 \
|
||||||
|
AND `datoms00`.e = `datoms02`.e");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "needle"),]);
|
||||||
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_fulltext_inputs() {
|
||||||
|
let schema = prepopulated_typed_schema(ValueType::String);
|
||||||
|
|
||||||
|
// Bind ?entity. We expect the output to collide.
|
||||||
|
let query = r#"[:find ?val
|
||||||
|
:in ?entity
|
||||||
|
:where [(fulltext $ :foo/fts "hello") [[?entity ?val _ _]]]]"#;
|
||||||
|
let mut types = BTreeMap::default();
|
||||||
|
types.insert(Variable::from_valid_name("?entity"), ValueType::Ref);
|
||||||
|
let inputs = QueryInputs::new(types, BTreeMap::default()).expect("valid inputs");
|
||||||
|
|
||||||
|
// Without binding the value. q_once will err if you try this!
|
||||||
|
let SQLQuery { sql, args } = translate_with_inputs(&schema, query, inputs);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `fulltext_values00`.text AS `?val` \
|
||||||
|
FROM \
|
||||||
|
`fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "hello"),]);
|
||||||
|
|
||||||
|
// With the value bound.
|
||||||
|
let inputs = QueryInputs::with_value_sequence(vec![(Variable::from_valid_name("?entity"), TypedValue::Ref(111))]);
|
||||||
|
let SQLQuery { sql, args } = translate_with_inputs(&schema, query, inputs);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT `fulltext_values00`.text AS `?val` \
|
||||||
|
FROM \
|
||||||
|
`fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0 \
|
||||||
|
AND `datoms01`.e = 111");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "hello"),]);
|
||||||
|
|
||||||
|
// Same again, but retrieving the entity.
|
||||||
|
let query = r#"[:find ?entity .
|
||||||
|
:in ?entity
|
||||||
|
:where [(fulltext $ :foo/fts "hello") [[?entity _ _]]]]"#;
|
||||||
|
let inputs = QueryInputs::with_value_sequence(vec![(Variable::from_valid_name("?entity"), TypedValue::Ref(111))]);
|
||||||
|
let SQLQuery { sql, args } = translate_with_inputs(&schema, query, inputs);
|
||||||
|
assert_eq!(sql, "SELECT 111 AS `?entity` FROM \
|
||||||
|
`fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0 \
|
||||||
|
AND `datoms01`.e = 111 \
|
||||||
|
LIMIT 1");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "hello"),]);
|
||||||
|
|
||||||
|
// A larger pattern.
|
||||||
|
let query = r#"[:find ?entity ?value ?friend
|
||||||
|
:in ?entity
|
||||||
|
:where
|
||||||
|
[(fulltext $ :foo/fts "hello") [[?entity ?value]]]
|
||||||
|
[?entity :foo/bar ?friend]]"#;
|
||||||
|
let inputs = QueryInputs::with_value_sequence(vec![(Variable::from_valid_name("?entity"), TypedValue::Ref(121))]);
|
||||||
|
let SQLQuery { sql, args } = translate_with_inputs(&schema, query, inputs);
|
||||||
|
assert_eq!(sql, "SELECT DISTINCT 121 AS `?entity`, \
|
||||||
|
`fulltext_values00`.text AS `?value`, \
|
||||||
|
`datoms02`.v AS `?friend` \
|
||||||
|
FROM \
|
||||||
|
`fulltext_values` AS `fulltext_values00`, \
|
||||||
|
`datoms` AS `datoms01`, \
|
||||||
|
`datoms` AS `datoms02` \
|
||||||
|
WHERE `datoms01`.a = 100 \
|
||||||
|
AND `datoms01`.v = `fulltext_values00`.rowid \
|
||||||
|
AND `fulltext_values00`.text MATCH $v0 \
|
||||||
|
AND `datoms01`.e = 121 \
|
||||||
|
AND `datoms02`.e = 121 \
|
||||||
|
AND `datoms02`.a = 99");
|
||||||
|
assert_eq!(args, vec![make_arg("$v0", "hello"),]);
|
||||||
|
}
|
||||||
|
|
|
@ -160,7 +160,14 @@ impl QueryBuilder for SQLiteQueryBuilder {
|
||||||
&Ref(entid) => self.push_sql(entid.to_string().as_str()),
|
&Ref(entid) => self.push_sql(entid.to_string().as_str()),
|
||||||
&Boolean(v) => self.push_sql(if v { "1" } else { "0" }),
|
&Boolean(v) => self.push_sql(if v { "1" } else { "0" }),
|
||||||
&Long(v) => self.push_sql(v.to_string().as_str()),
|
&Long(v) => self.push_sql(v.to_string().as_str()),
|
||||||
&Double(OrderedFloat(v)) => self.push_sql(v.to_string().as_str()),
|
&Double(OrderedFloat(v)) => {
|
||||||
|
// Rust's floats print without a trailing '.' in some cases.
|
||||||
|
// https://github.com/rust-lang/rust/issues/30967
|
||||||
|
// We format with 'e' -- scientific notation -- so that SQLite treats them as
|
||||||
|
// floats and not integers. This is most noticeable for fulltext scores, which
|
||||||
|
// will currently (2017-06) always be 0, and need to round-trip as doubles.
|
||||||
|
self.push_sql(format!("{:e}", v).as_str());
|
||||||
|
},
|
||||||
&Instant(dt) => {
|
&Instant(dt) => {
|
||||||
self.push_sql(format!("{}", dt.to_micros()).as_str()); // TODO: argument instead?
|
self.push_sql(format!("{}", dt.to_micros()).as_str()); // TODO: argument instead?
|
||||||
},
|
},
|
||||||
|
@ -260,9 +267,13 @@ mod tests {
|
||||||
s.push_static_arg(string_arg("frobnicate"));
|
s.push_static_arg(string_arg("frobnicate"));
|
||||||
s.push_sql(" OR ");
|
s.push_sql(" OR ");
|
||||||
s.push_static_arg(string_arg("swoogle"));
|
s.push_static_arg(string_arg("swoogle"));
|
||||||
|
s.push_sql(" OR ");
|
||||||
|
s.push_identifier("bar").unwrap();
|
||||||
|
s.push_sql(" = ");
|
||||||
|
s.push_typed_value(&TypedValue::Double(1.0.into())).unwrap();
|
||||||
let q = s.finish();
|
let q = s.finish();
|
||||||
|
|
||||||
assert_eq!(q.sql.as_str(), "SELECT `foo` WHERE `bar` = $v0 OR $v1");
|
assert_eq!(q.sql.as_str(), "SELECT `foo` WHERE `bar` = $v0 OR $v1 OR `bar` = 1e0");
|
||||||
assert_eq!(q.args,
|
assert_eq!(q.args,
|
||||||
vec![("$v0".to_string(), string_arg("frobnicate")),
|
vec![("$v0".to_string(), string_arg("frobnicate")),
|
||||||
("$v1".to_string(), string_arg("swoogle"))]);
|
("$v1".to_string(), string_arg("swoogle"))]);
|
||||||
|
|
|
@ -254,3 +254,40 @@ fn test_instants_and_uuids() {
|
||||||
_ => panic!("Expected query to work."),
|
_ => panic!("Expected query to work."),
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn test_fulltext() {
|
||||||
|
let mut c = new_connection("").expect("Couldn't open conn.");
|
||||||
|
let mut conn = Conn::connect(&mut c).expect("Couldn't open DB.");
|
||||||
|
conn.transact(&mut c, r#"[
|
||||||
|
[:db/add "s" :db/ident :foo/fts]
|
||||||
|
[:db/add "s" :db/valueType :db.type/string]
|
||||||
|
[:db/add "s" :db/fulltext true]
|
||||||
|
[:db/add "s" :db/cardinality :db.cardinality/many]
|
||||||
|
]"#).unwrap();
|
||||||
|
let v = conn.transact(&mut c, r#"[
|
||||||
|
[:db/add "v" :foo/fts "hello darkness my old friend"]
|
||||||
|
[:db/add "v" :foo/fts "I've come to talk with you again"]
|
||||||
|
]"#).unwrap().tempids.get("v").cloned().expect("v was mapped");
|
||||||
|
|
||||||
|
let r = conn.q_once(&mut c,
|
||||||
|
r#"[:find [?x ?val ?score]
|
||||||
|
:where [(fulltext $ :foo/fts "darkness") [[?x ?val _ ?score]]]]"#, None);
|
||||||
|
match r {
|
||||||
|
Result::Ok(QueryResults::Tuple(Some(vals))) => {
|
||||||
|
let mut vals = vals.into_iter();
|
||||||
|
match (vals.next(), vals.next(), vals.next(), vals.next()) {
|
||||||
|
(Some(TypedValue::Ref(x)),
|
||||||
|
Some(TypedValue::String(text)),
|
||||||
|
Some(TypedValue::Double(score)),
|
||||||
|
None) => {
|
||||||
|
assert_eq!(x, v);
|
||||||
|
assert_eq!(text.as_str(), "hello darkness my old friend");
|
||||||
|
assert_eq!(score, 0.0f64.into());
|
||||||
|
},
|
||||||
|
_ => panic!("Unexpected results."),
|
||||||
|
}
|
||||||
|
},
|
||||||
|
_ => panic!("Expected query to work."),
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
Loading…
Reference in a new issue