mentat/db/src/cache.rs

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// Copyright 2018 Mozilla
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use
// this file except in compliance with the License. You may obtain a copy of the
// License at http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
///! An implementation of attribute caching.
///! Attribute caching means storing the entities and values for a given attribute, in the current
///! state of the world, in one or both directions (forward or reverse).
///!
///! One might use a reverse cache to implement fast in-memory lookup of unique identities. One
///! might use a forward cache to implement fast in-memory lookup of common properties.
///!
///! These caches are specialized wrappers around maps. We have four: single/multi forward, and
///! unique/non-unique reverse. There are traits to provide access.
///!
///! A little tower of functions allows for multiple caches to be updated when provided with a
///! single SQLite cursor over `(a, e, v)`s, sorted appropriately.
///!
///! Much of the complexity in this module is to support copy-on-write.
///!
///! When a transaction begins, we expect:
///!
///! - Existing references to the `Conn`'s attribute cache to still be valid.
///! - Isolation to be preserved: that cache will return the same answers until the transaction
///! commits and a fresh reference to the cache is obtained.
///! - Assertions and retractions within the transaction to be reflected in the cache.
///! - Retractions apply first, then assertions.
///! - No writes = limited memory allocation for the cache.
///! - New attributes can be cached, and existing attributes uncached, during the transaction.
///! These changes are isolated, too.
///!
///! All of this means that we need a decent copy-on-write layer that can represent retractions.
///!
///! This is `InProgressSQLiteAttributeCache`. It listens for committed transactions, and handles
///! changes to the cached attribute set, maintaining a reference back to the stable cache. When
///! necessary it copies and modifies. Retractions are modeled via a `None` option.
///!
///! When we're done, we take each of the four caches, and each cached attribute that changed, and
///! absorbe them back into the stable cache. This uses `Arc::make_mut`, so if nobody is looking at
///! the old cache, we modify it in place.
///!
///! Most of the tests for this module are actually in `conn.rs`, where we can set up transactions
///! and test the external API.
use std::collections::{
BTreeMap,
BTreeSet,
HashSet,
};
use std::collections::btree_map::{
Entry,
};
use std::collections::btree_map::Entry::{
Occupied,
Vacant,
};
use std::iter::{
once,
};
use std::mem;
use std::sync::Arc;
use std::iter::Peekable;
use num;
use rusqlite;
use mentat_core::{
Binding,
CachedAttributes,
Entid,
HasSchema,
Schema,
TypedValue,
UpdateableCache,
ValueRc,
};
use mentat_core::util::{
Either,
};
use mentat_sql::{
QueryBuilder,
SQLiteQueryBuilder,
SQLQuery,
};
use edn::entities::{
OpType,
};
use db::{
TypedSQLValue,
};
use errors::{
ErrorKind,
Result,
};
use watcher::{
TransactWatcher,
};
// Right now we use BTreeMap, because we expect few cached attributes.
pub type CacheMap<K, V> = BTreeMap<K, V>;
trait Remove<T> where T: PartialEq {
fn remove_every(&mut self, item: &T) -> usize;
}
impl<T> Remove<T> for Vec<T> where T: PartialEq {
/// Remove all occurrences from a vector in-place, by equality.
/// Eventually replace with unstable feature: #40062.
fn remove_every(&mut self, item: &T) -> usize {
let mut removed = 0;
let range = num::range_step_inclusive(self.len() as isize - 1, 0, -1);
for i in range {
if self.get(i as usize).map_or(false, |x| x == item) {
self.remove(i as usize);
removed += 1;
}
}
removed
}
}
trait Absorb {
fn absorb(&mut self, other: Self);
}
impl<K, V> Absorb for CacheMap<K, Option<V>> where K: Ord {
fn absorb(&mut self, other: Self) {
for (e, v) in other.into_iter() {
match v {
None => {
// It was deleted. Remove it from our map.
self.remove(&e);
},
s @ Some(_) => {
self.insert(e, s);
},
}
}
}
}
trait ExtendByAbsorbing {
/// Just like `extend`, but rather than replacing our value with the other, the other is
/// absorbed into ours.
fn extend_by_absorbing(&mut self, other: Self);
}
impl<K, V> ExtendByAbsorbing for BTreeMap<K, V> where K: Ord, V: Absorb {
fn extend_by_absorbing(&mut self, other: Self) {
for (k, v) in other.into_iter() {
match self.entry(k) {
Occupied(mut entry) => {
entry.get_mut().absorb(v);
},
Vacant(entry) => {
entry.insert(v);
},
}
}
}
}
// Can't currently put doc tests on traits, so here it is.
#[test]
fn test_vec_remove_item() {
let mut v = vec![1, 2, 3, 4, 5, 4, 3];
v.remove_every(&3);
assert_eq!(v, vec![1, 2, 4, 5, 4]);
v.remove_every(&4);
assert_eq!(v, vec![1, 2, 5]);
}
//
// The basics of attribute caching.
//
pub type Aev = (Entid, Entid, TypedValue);
pub struct AevFactory {
// Our own simple string-interning system.
strings: HashSet<ValueRc<String>>,
}
impl AevFactory {
fn new() -> AevFactory {
AevFactory {
strings: Default::default(),
}
}
fn intern(&mut self, v: TypedValue) -> TypedValue {
match v {
TypedValue::String(rc) => {
let existing = self.strings.get(&rc).cloned().map(TypedValue::String);
if let Some(existing) = existing {
return existing;
}
self.strings.insert(rc.clone());
return TypedValue::String(rc);
},
t => t,
}
}
fn row_to_aev(&mut self, row: &rusqlite::Row) -> Aev {
let a: Entid = row.get(0);
let e: Entid = row.get(1);
let value_type_tag: i32 = row.get(3);
let v = TypedValue::from_sql_value_pair(row.get(2), value_type_tag).map(|x| x).unwrap();
(a, e, self.intern(v))
}
}
pub struct AevRows<'conn, F> {
rows: rusqlite::MappedRows<'conn, F>,
}
/// Unwrap the Result from MappedRows. We could also use this opportunity to map_err it, but
/// for now it's convenient to avoid error handling.
impl<'conn, F> Iterator for AevRows<'conn, F> where F: FnMut(&rusqlite::Row) -> Aev {
type Item = Aev;
fn next(&mut self) -> Option<Aev> {
self.rows
.next()
.map(|row_result| row_result.expect("All database contents should be representable"))
}
}
// The behavior of the cache is different for different kinds of attributes:
// - cardinality/one doesn't need a vec
// - unique/* should ideally have a bijective mapping (reverse lookup)
pub trait AttributeCache {
fn has_e(&self, e: Entid) -> bool;
fn binding_for_e(&self, e: Entid) -> Option<Binding>;
}
trait RemoveFromCache {
fn remove(&mut self, e: Entid, v: &TypedValue);
}
trait ClearCache {
fn clear(&mut self);
}
trait CardinalityOneCache: RemoveFromCache + ClearCache {
fn set(&mut self, e: Entid, v: TypedValue);
fn get(&self, e: Entid) -> Option<&TypedValue>;
}
trait CardinalityManyCache: RemoveFromCache + ClearCache {
fn acc(&mut self, e: Entid, v: TypedValue);
fn set(&mut self, e: Entid, vs: Vec<TypedValue>);
fn get(&self, e: Entid) -> Option<&Vec<TypedValue>>;
}
#[derive(Clone, Debug, Default)]
struct SingleValAttributeCache {
attr: Entid,
e_v: CacheMap<Entid, Option<TypedValue>>,
}
impl Absorb for SingleValAttributeCache {
fn absorb(&mut self, other: Self) {
assert_eq!(self.attr, other.attr);
self.e_v.absorb(other.e_v);
}
}
impl AttributeCache for SingleValAttributeCache {
fn binding_for_e(&self, e: Entid) -> Option<Binding> {
self.get(e).map(|v| v.clone().into())
}
fn has_e(&self, e: Entid) -> bool {
self.e_v.contains_key(&e)
}
}
impl ClearCache for SingleValAttributeCache {
fn clear(&mut self) {
self.e_v.clear();
}
}
impl RemoveFromCache for SingleValAttributeCache {
// We never directly remove from the cache unless we're InProgress. In that case, we
// want to leave a sentinel in place.
fn remove(&mut self, e: Entid, v: &TypedValue) {
match self.e_v.entry(e) {
Occupied(mut entry) => {
let removed = entry.insert(None);
match removed {
None => {}, // Already removed.
Some(ref r) if r == v => {}, // We removed it!
r => {
eprintln!("Cache inconsistency: should be ({}, {:?}), was ({}, {:?}).",
e, v, e, r);
}
}
},
Vacant(entry) => {
entry.insert(None);
},
}
}
}
impl CardinalityOneCache for SingleValAttributeCache {
fn set(&mut self, e: Entid, v: TypedValue) {
self.e_v.insert(e, Some(v));
}
fn get(&self, e: Entid) -> Option<&TypedValue> {
self.e_v.get(&e).and_then(|m| m.as_ref())
}
}
#[derive(Clone, Debug, Default)]
struct MultiValAttributeCache {
attr: Entid,
e_vs: CacheMap<Entid, Vec<TypedValue>>,
}
impl Absorb for MultiValAttributeCache {
fn absorb(&mut self, other: Self) {
assert_eq!(self.attr, other.attr);
for (e, vs) in other.e_vs.into_iter() {
if vs.is_empty() {
self.e_vs.remove(&e);
} else {
// We always override with a whole vector, so let's just overwrite.
self.e_vs.insert(e, vs);
}
}
}
}
impl AttributeCache for MultiValAttributeCache {
fn binding_for_e(&self, e: Entid) -> Option<Binding> {
self.e_vs.get(&e).map(|vs| {
let bindings = vs.iter().cloned().map(|v| v.into()).collect();
Binding::Vec(ValueRc::new(bindings))
})
}
fn has_e(&self, e: Entid) -> bool {
self.e_vs.contains_key(&e)
}
}
impl ClearCache for MultiValAttributeCache {
fn clear(&mut self) {
self.e_vs.clear();
}
}
impl RemoveFromCache for MultiValAttributeCache {
fn remove(&mut self, e: Entid, v: &TypedValue) {
if let Some(vec) = self.e_vs.get_mut(&e) {
let removed = vec.remove_every(v);
if removed == 0 {
eprintln!("Cache inconsistency: tried to remove ({}, {:?}), was not present.", e, v);
}
} else {
eprintln!("Cache inconsistency: tried to remove ({}, {:?}), was empty.", e, v);
}
}
}
impl CardinalityManyCache for MultiValAttributeCache {
fn acc(&mut self, e: Entid, v: TypedValue) {
self.e_vs.entry(e).or_insert(vec![]).push(v)
}
fn set(&mut self, e: Entid, vs: Vec<TypedValue>) {
self.e_vs.insert(e, vs);
}
fn get(&self, e: Entid) -> Option<&Vec<TypedValue>> {
self.e_vs.get(&e)
}
}
#[derive(Clone, Debug, Default)]
struct UniqueReverseAttributeCache {
attr: Entid,
v_e: CacheMap<TypedValue, Option<Entid>>,
}
impl Absorb for UniqueReverseAttributeCache {
fn absorb(&mut self, other: Self) {
assert_eq!(self.attr, other.attr);
self.v_e.absorb(other.v_e);
}
}
impl ClearCache for UniqueReverseAttributeCache {
fn clear(&mut self) {
self.v_e.clear();
}
}
impl RemoveFromCache for UniqueReverseAttributeCache {
fn remove(&mut self, e: Entid, v: &TypedValue) {
match self.v_e.entry(v.clone()) { // Future: better entry API!
Occupied(mut entry) => {
let removed = entry.insert(None);
match removed {
None => {}, // Already removed.
Some(r) if r == e => {}, // We removed it!
r => {
eprintln!("Cache inconsistency: should be ({}, {:?}), was ({}, {:?}).", e, v, e, r);
}
}
},
Vacant(entry) => {
// It didn't already exist.
entry.insert(None);
},
}
}
}
impl UniqueReverseAttributeCache {
fn set(&mut self, e: Entid, v: TypedValue) {
self.v_e.insert(v, Some(e));
}
fn get_e(&self, v: &TypedValue) -> Option<Entid> {
self.v_e.get(v).and_then(|o| o.clone())
}
fn lookup(&self, v: &TypedValue) -> Option<Option<Entid>> {
self.v_e.get(v).cloned()
}
}
#[derive(Clone, Debug, Default)]
struct NonUniqueReverseAttributeCache {
attr: Entid,
v_es: CacheMap<TypedValue, BTreeSet<Entid>>,
}
impl Absorb for NonUniqueReverseAttributeCache {
fn absorb(&mut self, other: Self) {
assert_eq!(self.attr, other.attr);
for (v, es) in other.v_es.into_iter() {
if es.is_empty() {
self.v_es.remove(&v);
} else {
// We always override with a whole vector, so let's just overwrite.
self.v_es.insert(v, es);
}
}
}
}
impl ClearCache for NonUniqueReverseAttributeCache {
fn clear(&mut self) {
self.v_es.clear();
}
}
impl RemoveFromCache for NonUniqueReverseAttributeCache {
fn remove(&mut self, e: Entid, v: &TypedValue) {
if let Some(vec) = self.v_es.get_mut(&v) {
let removed = vec.remove(&e);
if !removed {
eprintln!("Cache inconsistency: tried to remove ({}, {:?}), was not present.", e, v);
}
} else {
eprintln!("Cache inconsistency: tried to remove ({}, {:?}), was empty.", e, v);
}
}
}
impl NonUniqueReverseAttributeCache {
fn acc(&mut self, e: Entid, v: TypedValue) {
self.v_es.entry(v).or_insert(BTreeSet::new()).insert(e);
}
fn get_es(&self, v: &TypedValue) -> Option<&BTreeSet<Entid>> {
self.v_es.get(v)
}
}
fn with_aev_iter<F, I>(a: Entid, iter: &mut Peekable<I>, mut f: F)
where I: Iterator<Item=Aev>,
F: FnMut(Entid, TypedValue) {
let check = Some(a);
while iter.peek().map(|&(a, _, _)| a) == check {
let (_, e, v) = iter.next().unwrap();
f(e, v);
}
}
fn accumulate_single_val_evs_forward<I, C>(a: Entid, f: &mut C, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityOneCache {
with_aev_iter(a, iter, |e, v| f.set(e, v))
}
fn accumulate_multi_val_evs_forward<I, C>(a: Entid, f: &mut C, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityManyCache {
with_aev_iter(a, iter, |e, v| f.acc(e, v))
}
fn accumulate_unique_evs_reverse<I>(a: Entid, r: &mut UniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev> {
with_aev_iter(a, iter, |e, v| r.set(e, v))
}
fn accumulate_non_unique_evs_reverse<I>(a: Entid, r: &mut NonUniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev> {
with_aev_iter(a, iter, |e, v| r.acc(e, v))
}
fn accumulate_single_val_unique_evs_both<I, C>(a: Entid, f: &mut C, r: &mut UniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityOneCache {
with_aev_iter(a, iter, |e, v| {
f.set(e, v.clone());
r.set(e, v);
})
}
fn accumulate_multi_val_unique_evs_both<I, C>(a: Entid, f: &mut C, r: &mut UniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityManyCache {
with_aev_iter(a, iter, |e, v| {
f.acc(e, v.clone());
r.set(e, v);
})
}
fn accumulate_single_val_non_unique_evs_both<I, C>(a: Entid, f: &mut C, r: &mut NonUniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityOneCache {
with_aev_iter(a, iter, |e, v| {
f.set(e, v.clone());
r.acc(e, v);
})
}
fn accumulate_multi_val_non_unique_evs_both<I, C>(a: Entid, f: &mut C, r: &mut NonUniqueReverseAttributeCache, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: CardinalityManyCache {
with_aev_iter(a, iter, |e, v| {
f.acc(e, v.clone());
r.acc(e, v);
})
}
fn accumulate_removal_one<I, C>(a: Entid, c: &mut C, iter: &mut Peekable<I>) where I: Iterator<Item=Aev>, C: RemoveFromCache {
with_aev_iter(a, iter, |e, v| {
c.remove(e, &v);
})
}
fn accumulate_removal_both<I, F, R>(a: Entid, f: &mut F, r: &mut R, iter: &mut Peekable<I>)
where I: Iterator<Item=Aev>, F: RemoveFromCache, R: RemoveFromCache {
with_aev_iter(a, iter, |e, v| {
f.remove(e, &v);
r.remove(e, &v);
})
}
//
// Collect four different kinds of cache together, and track what we're storing.
//
#[derive(Copy, Clone, Eq, PartialEq)]
enum AccumulationBehavior {
Add { replacing: bool },
Remove,
}
impl AccumulationBehavior {
fn is_replacing(&self) -> bool {
match self {
&AccumulationBehavior::Add { replacing } => replacing,
_ => false,
}
}
}
#[derive(Clone, Debug, Default)]
pub struct AttributeCaches {
reverse_cached_attributes: BTreeSet<Entid>,
forward_cached_attributes: BTreeSet<Entid>,
single_vals: BTreeMap<Entid, SingleValAttributeCache>,
multi_vals: BTreeMap<Entid, MultiValAttributeCache>,
unique_reverse: BTreeMap<Entid, UniqueReverseAttributeCache>,
non_unique_reverse: BTreeMap<Entid, NonUniqueReverseAttributeCache>,
}
// TODO: if an entity or attribute is ever renumbered, the cache will need to be rebuilt.
impl AttributeCaches {
//
// These function names are brief and local.
// f = forward; r = reverse; both = both forward and reverse.
// s = single-val; m = multi-val.
// u = unique; nu = non-unique.
// c = cache.
// Note that each of these optionally copies the entry from a fallback cache for copy-on-write.
#[inline]
fn fsc(&mut self, a: Entid, fallback: Option<&AttributeCaches>) -> &mut SingleValAttributeCache {
self.single_vals
.entry(a)
.or_insert_with(|| fallback.and_then(|c| c.single_vals.get(&a).cloned())
.unwrap_or_else(Default::default))
}
#[inline]
fn fmc(&mut self, a: Entid, fallback: Option<&AttributeCaches>) -> &mut MultiValAttributeCache {
self.multi_vals
.entry(a)
.or_insert_with(|| fallback.and_then(|c| c.multi_vals.get(&a).cloned())
.unwrap_or_else(Default::default))
}
#[inline]
fn ruc(&mut self, a: Entid, fallback: Option<&AttributeCaches>) -> &mut UniqueReverseAttributeCache {
self.unique_reverse
.entry(a)
.or_insert_with(|| fallback.and_then(|c| c.unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default))
}
#[inline]
fn rnuc(&mut self, a: Entid, fallback: Option<&AttributeCaches>) -> &mut NonUniqueReverseAttributeCache {
self.non_unique_reverse
.entry(a)
.or_insert_with(|| fallback.and_then(|c| c.non_unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default))
}
#[inline]
fn both_s_u<'r>(&'r mut self, a: Entid, forward_fallback: Option<&AttributeCaches>, reverse_fallback: Option<&AttributeCaches>) -> (&'r mut SingleValAttributeCache, &'r mut UniqueReverseAttributeCache) {
(self.single_vals
.entry(a)
.or_insert_with(|| forward_fallback.and_then(|c| c.single_vals.get(&a).cloned())
.unwrap_or_else(Default::default)),
self.unique_reverse
.entry(a)
.or_insert_with(|| reverse_fallback.and_then(|c| c.unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default)))
}
#[inline]
fn both_m_u<'r>(&'r mut self, a: Entid, forward_fallback: Option<&AttributeCaches>, reverse_fallback: Option<&AttributeCaches>) -> (&'r mut MultiValAttributeCache, &'r mut UniqueReverseAttributeCache) {
(self.multi_vals
.entry(a)
.or_insert_with(|| forward_fallback.and_then(|c| c.multi_vals.get(&a).cloned())
.unwrap_or_else(Default::default)),
self.unique_reverse
.entry(a)
.or_insert_with(|| reverse_fallback.and_then(|c| c.unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default)))
}
#[inline]
fn both_s_nu<'r>(&'r mut self, a: Entid, forward_fallback: Option<&AttributeCaches>, reverse_fallback: Option<&AttributeCaches>) -> (&'r mut SingleValAttributeCache, &'r mut NonUniqueReverseAttributeCache) {
(self.single_vals
.entry(a)
.or_insert_with(|| forward_fallback.and_then(|c| c.single_vals.get(&a).cloned())
.unwrap_or_else(Default::default)),
self.non_unique_reverse
.entry(a)
.or_insert_with(|| reverse_fallback.and_then(|c| c.non_unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default)))
}
#[inline]
fn both_m_nu<'r>(&'r mut self, a: Entid, forward_fallback: Option<&AttributeCaches>, reverse_fallback: Option<&AttributeCaches>) -> (&'r mut MultiValAttributeCache, &'r mut NonUniqueReverseAttributeCache) {
(self.multi_vals
.entry(a)
.or_insert_with(|| forward_fallback.and_then(|c| c.multi_vals.get(&a).cloned())
.unwrap_or_else(Default::default)),
self.non_unique_reverse
.entry(a)
.or_insert_with(|| reverse_fallback.and_then(|c| c.non_unique_reverse.get(&a).cloned())
.unwrap_or_else(Default::default)))
}
// Process rows in `iter` that all share an attribute with the first. Leaves the iterator
// advanced to the first non-matching row.
fn accumulate_evs<I>(&mut self,
fallback: Option<&AttributeCaches>,
schema: &Schema,
iter: &mut Peekable<I>,
behavior: AccumulationBehavior) where I: Iterator<Item=Aev> {
if let Some(&(a, _, _)) = iter.peek() {
if let Some(attribute) = schema.attribute_for_entid(a) {
let fallback_cached_forward = fallback.map_or(false, |c| c.is_attribute_cached_forward(a));
let fallback_cached_reverse = fallback.map_or(false, |c| c.is_attribute_cached_reverse(a));
let now_cached_forward = self.is_attribute_cached_forward(a);
let now_cached_reverse = self.is_attribute_cached_reverse(a);
let replace_a = behavior.is_replacing();
let copy_forward_if_missing = now_cached_forward && fallback_cached_forward && !replace_a;
let copy_reverse_if_missing = now_cached_reverse && fallback_cached_reverse && !replace_a;
let forward_fallback = if copy_forward_if_missing {
fallback
} else {
None
};
let reverse_fallback = if copy_reverse_if_missing {
fallback
} else {
None
};
let multi = attribute.multival;
let unique = attribute.unique.is_some();
match (now_cached_forward, now_cached_reverse, multi, unique) {
(true, true, true, true) => {
let (f, r) = self.both_m_u(a, forward_fallback, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
r.clear();
}
accumulate_multi_val_unique_evs_both(a, f, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_both(a, f, r, iter),
}
},
(true, true, true, false) => {
let (f, r) = self.both_m_nu(a, forward_fallback, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
r.clear();
}
accumulate_multi_val_non_unique_evs_both(a, f, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_both(a, f, r, iter),
}
},
(true, true, false, true) => {
let (f, r) = self.both_s_u(a, forward_fallback, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
r.clear();
}
accumulate_single_val_unique_evs_both(a, f, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_both(a, f, r, iter),
}
},
(true, true, false, false) => {
let (f, r) = self.both_s_nu(a, forward_fallback, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
r.clear();
}
accumulate_single_val_non_unique_evs_both(a, f, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_both(a, f, r, iter),
}
},
(true, false, true, _) => {
let f = self.fmc(a, forward_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
}
accumulate_multi_val_evs_forward(a, f, iter);
},
AccumulationBehavior::Remove => accumulate_removal_one(a, f, iter),
}
},
(true, false, false, _) => {
let f = self.fsc(a, forward_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
f.clear();
}
accumulate_single_val_evs_forward(a, f, iter)
},
AccumulationBehavior::Remove => accumulate_removal_one(a, f, iter),
}
},
(false, true, _, true) => {
let r = self.ruc(a, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
r.clear();
}
accumulate_unique_evs_reverse(a, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_one(a, r, iter),
}
},
(false, true, _, false) => {
let r = self.rnuc(a, reverse_fallback);
match behavior {
AccumulationBehavior::Add { replacing } => {
if replacing {
r.clear();
}
accumulate_non_unique_evs_reverse(a, r, iter);
},
AccumulationBehavior::Remove => accumulate_removal_one(a, r, iter),
}
},
(false, false, _, _) => {
unreachable!(); // Must be cached in at least one direction!
},
}
}
}
}
fn accumulate_into_cache<I>(&mut self, fallback: Option<&AttributeCaches>, schema: &Schema, mut iter: Peekable<I>, behavior: AccumulationBehavior) -> Result<()> where I: Iterator<Item=Aev> {
while iter.peek().is_some() {
self.accumulate_evs(fallback, schema, &mut iter, behavior);
}
Ok(())
}
fn clear_cache(&mut self) {
self.single_vals.clear();
self.multi_vals.clear();
self.unique_reverse.clear();
self.non_unique_reverse.clear();
}
fn unregister_all_attributes(&mut self) {
self.reverse_cached_attributes.clear();
self.forward_cached_attributes.clear();
self.clear_cache();
}
pub fn unregister_attribute<U>(&mut self, attribute: U)
where U: Into<Entid> {
let a = attribute.into();
self.reverse_cached_attributes.remove(&a);
self.forward_cached_attributes.remove(&a);
self.single_vals.remove(&a);
self.multi_vals.remove(&a);
self.unique_reverse.remove(&a);
self.non_unique_reverse.remove(&a);
}
}
// We need this block for fallback.
impl AttributeCaches {
fn get_entid_for_value_if_present(&self, attribute: Entid, value: &TypedValue) -> Option<Option<Entid>> {
if self.is_attribute_cached_reverse(attribute) {
self.unique_reverse
.get(&attribute)
.and_then(|c| c.lookup(value))
} else {
None
}
}
fn get_value_for_entid_if_present(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<Option<&TypedValue>> {
if let Some(&Some(ref tv)) = self.value_pairs(schema, attribute)
.and_then(|c| c.get(&entid)) {
Some(Some(tv))
} else {
None
}
}
}
/// SQL stuff.
impl AttributeCaches {
fn repopulate(&mut self,
schema: &Schema,
sqlite: &rusqlite::Connection,
attribute: Entid) -> Result<()> {
let is_fulltext = schema.attribute_for_entid(attribute).map_or(false, |s| s.fulltext);
let table = if is_fulltext { "fulltext_datoms" } else { "datoms" };
let sql = format!("SELECT a, e, v, value_type_tag FROM {} WHERE a = ? ORDER BY a ASC, e ASC", table);
let args: Vec<&rusqlite::types::ToSql> = vec![&attribute];
let mut stmt = sqlite.prepare(&sql)?;
let replacing = true;
self.repopulate_from_aevt(schema, &mut stmt, args, replacing)
}
fn repopulate_from_aevt<'a, 's, 'c, 'v>(&'a mut self,
schema: &'s Schema,
statement: &'c mut rusqlite::Statement,
args: Vec<&'v rusqlite::types::ToSql>,
replacing: bool) -> Result<()> {
let mut aev_factory = AevFactory::new();
let rows = statement.query_map(&args, |row| aev_factory.row_to_aev(row))?;
let aevs = AevRows {
rows: rows,
};
self.accumulate_into_cache(None, schema, aevs.peekable(), AccumulationBehavior::Add { replacing })?;
Ok(())
}
}
#[derive(Clone)]
pub enum AttributeSpec {
All,
Specified {
// These are assumed to not include duplicates.
fts: Vec<Entid>,
non_fts: Vec<Entid>,
},
}
impl AttributeSpec {
pub fn all() -> AttributeSpec {
AttributeSpec::All
}
pub fn specified(attrs: &BTreeSet<Entid>, schema: &Schema) -> AttributeSpec {
let mut fts = Vec::with_capacity(attrs.len());
let mut non_fts = Vec::with_capacity(attrs.len());
for attr in attrs.iter() {
if let Some(a) = schema.attribute_for_entid(*attr) {
if a.fulltext {
fts.push(*attr);
} else {
non_fts.push(*attr);
}
}
}
AttributeSpec::Specified { fts, non_fts }
}
}
impl AttributeCaches {
/// Fetch the requested entities and attributes from the store and put them in the cache.
///
/// The caller is responsible for ensuring that `entities` is unique, and for avoiding any
/// redundant work.
///
/// Each provided attribute will be marked as forward-cached; the caller is responsible for
/// ensuring that this cache is complete or that it is not expected to be complete.
fn populate_cache_for_entities_and_attributes<'s, 'c>(&mut self,
schema: &'s Schema,
sqlite: &'c rusqlite::Connection,
attrs: AttributeSpec,
entities: &Vec<Entid>) -> Result<()> {
// Mark the attributes as cached as we go. We do this because we're going in through the
// back door here, and the usual caching API won't have taken care of this for us.
let mut qb = SQLiteQueryBuilder::new();
qb.push_sql("SELECT a, e, v, value_type_tag FROM ");
match attrs {
AttributeSpec::All => {
qb.push_sql("all_datoms WHERE e IN (");
interpose!(item, entities,
{ qb.push_sql(&item.to_string()) },
{ qb.push_sql(", ") });
qb.push_sql(") ORDER BY a ASC, e ASC");
self.forward_cached_attributes.extend(schema.attribute_map.keys());
},
AttributeSpec::Specified { fts, non_fts } => {
let has_fts = !fts.is_empty();
let has_non_fts = !non_fts.is_empty();
if !has_fts && !has_non_fts {
// Nothing to do.
return Ok(());
}
if has_non_fts {
qb.push_sql("datoms WHERE e IN (");
interpose!(item, entities,
{ qb.push_sql(&item.to_string()) },
{ qb.push_sql(", ") });
qb.push_sql(") AND a IN (");
interpose!(item, non_fts,
{ qb.push_sql(&item.to_string()) },
{ qb.push_sql(", ") });
qb.push_sql(")");
self.forward_cached_attributes.extend(non_fts.iter());
}
if has_fts && has_non_fts {
// Both.
qb.push_sql(" UNION ALL SELECT a, e, v, value_type_tag FROM ");
}
if has_fts {
qb.push_sql("fulltext_datoms WHERE e IN (");
interpose!(item, entities,
{ qb.push_sql(&item.to_string()) },
{ qb.push_sql(", ") });
qb.push_sql(") AND a IN (");
interpose!(item, fts,
{ qb.push_sql(&item.to_string()) },
{ qb.push_sql(", ") });
qb.push_sql(")");
self.forward_cached_attributes.extend(fts.iter());
}
qb.push_sql(" ORDER BY a ASC, e ASC");
},
};
let SQLQuery { sql, args } = qb.finish();
assert!(args.is_empty()); // TODO: we know there are never args, but we'd like to run this query 'properly'.
let mut stmt = sqlite.prepare(sql.as_str())?;
let replacing = false;
self.repopulate_from_aevt(schema, &mut stmt, vec![], replacing)
}
/// Return a reference to the cache for the provided `a`, if `a` names an attribute that is
/// cached in the forward direction. If `a` doesn't name an attribute, or it's not cached at
/// all, or it's only cached in reverse (`v` to `e`, not `e` to `v`), `None` is returned.
pub fn forward_attribute_cache_for_attribute<'a, 's>(&'a self, schema: &'s Schema, a: Entid) -> Option<&'a AttributeCache> {
if !self.forward_cached_attributes.contains(&a) {
return None;
}
schema.attribute_for_entid(a)
.and_then(|attr|
if attr.multival {
self.multi_vals.get(&a).map(|v| v as &AttributeCache)
} else {
self.single_vals.get(&a).map(|v| v as &AttributeCache)
})
}
/// Fetch the requested entities and attributes from the store and put them in the cache.
/// The caller is responsible for ensuring that `entities` is unique.
/// Attributes for which every entity is already cached will not be processed again.
pub fn extend_cache_for_entities_and_attributes<'s, 'c>(&mut self,
schema: &'s Schema,
sqlite: &'c rusqlite::Connection,
mut attrs: AttributeSpec,
entities: &Vec<Entid>) -> Result<()> {
// TODO: Exclude any entities for which every attribute is known.
// TODO: initialize from an existing (complete) AttributeCache.
// Exclude any attributes for which every entity's value is already known.
match &mut attrs {
&mut AttributeSpec::All => {
// If we're caching all attributes, there's nothing we can exclude.
},
&mut AttributeSpec::Specified { ref mut non_fts, ref mut fts } => {
// Remove any attributes for which all entities are present in the cache (even
// as a 'miss').
let exclude_missing = |vec: &mut Vec<Entid>| {
vec.retain(|a| {
if let Some(attr) = schema.attribute_for_entid(*a) {
if !self.forward_cached_attributes.contains(a) {
// The attribute isn't cached at all. Do the work for all entities.
return true;
}
// Return true if there are any entities missing for this attribute.
if attr.multival {
self.multi_vals
.get(&a)
.map(|cache| entities.iter().any(|e| !cache.has_e(*e)))
.unwrap_or(true)
} else {
self.single_vals
.get(&a)
.map(|cache| entities.iter().any(|e| !cache.has_e(*e)))
.unwrap_or(true)
}
} else {
// Unknown attribute.
false
}
});
};
exclude_missing(non_fts);
exclude_missing(fts);
},
}
self.populate_cache_for_entities_and_attributes(schema, sqlite, attrs, entities)
}
/// Fetch the requested entities and attributes and put them in a new cache.
/// The caller is responsible for ensuring that `entities` is unique.
pub fn make_cache_for_entities_and_attributes<'s, 'c>(schema: &'s Schema,
sqlite: &'c rusqlite::Connection,
attrs: AttributeSpec,
entities: &Vec<Entid>) -> Result<AttributeCaches> {
let mut cache = AttributeCaches::default();
cache.populate_cache_for_entities_and_attributes(schema, sqlite, attrs, entities)?;
Ok(cache)
}
}
impl CachedAttributes for AttributeCaches {
fn get_values_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&Vec<TypedValue>> {
self.values_pairs(schema, attribute)
.and_then(|c| c.get(&entid))
}
fn get_value_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&TypedValue> {
if let Some(&Some(ref tv)) = self.value_pairs(schema, attribute)
.and_then(|c| c.get(&entid)) {
Some(tv)
} else {
None
}
}
fn has_cached_attributes(&self) -> bool {
!self.reverse_cached_attributes.is_empty() ||
!self.forward_cached_attributes.is_empty()
}
fn is_attribute_cached_reverse(&self, attribute: Entid) -> bool {
self.reverse_cached_attributes.contains(&attribute)
}
fn is_attribute_cached_forward(&self, attribute: Entid) -> bool {
self.forward_cached_attributes.contains(&attribute)
}
fn get_entid_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<Entid> {
if self.is_attribute_cached_reverse(attribute) {
self.unique_reverse.get(&attribute).and_then(|c| c.get_e(value))
} else {
None
}
}
fn get_entids_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<&BTreeSet<Entid>> {
if self.is_attribute_cached_reverse(attribute) {
self.non_unique_reverse.get(&attribute).and_then(|c| c.get_es(value))
} else {
None
}
}
}
impl UpdateableCache for AttributeCaches {
type Error = ::errors::Error;
fn update<I>(&mut self, schema: &Schema, retractions: I, assertions: I) -> ::std::result::Result<(), Self::Error>
where I: Iterator<Item=(Entid, Entid, TypedValue)> {
self.update_with_fallback(None, schema, retractions, assertions)
}
}
impl AttributeCaches {
fn update_with_fallback<I>(&mut self, fallback: Option<&AttributeCaches>, schema: &Schema, retractions: I, assertions: I) -> ::std::result::Result<(), ::errors::Error>
where I: Iterator<Item=(Entid, Entid, TypedValue)> {
let r_aevs = retractions.peekable();
self.accumulate_into_cache(fallback, schema, r_aevs, AccumulationBehavior::Remove)?;
let aevs = assertions.peekable();
self.accumulate_into_cache(fallback, schema, aevs, AccumulationBehavior::Add { replacing: false })
}
fn values_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&BTreeMap<Entid, Vec<TypedValue>>>
where U: Into<Entid> {
let attribute = attribute.into();
schema.attribute_for_entid(attribute)
.and_then(|attr|
if attr.multival {
self.multi_vals
.get(&attribute)
.map(|c| &c.e_vs)
} else {
None
})
}
fn value_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&CacheMap<Entid, Option<TypedValue>>>
where U: Into<Entid> {
let attribute = attribute.into();
schema.attribute_for_entid(attribute)
.and_then(|attr|
if attr.multival {
None
} else {
self.single_vals
.get(&attribute)
.map(|c| &c.e_v)
})
}
}
impl Absorb for AttributeCaches {
// Replace or insert attribute-cache pairs from `other` into `self`.
// Fold in any in-place deletions.
fn absorb(&mut self, other: Self) {
self.forward_cached_attributes.extend(other.forward_cached_attributes);
self.reverse_cached_attributes.extend(other.reverse_cached_attributes);
self.single_vals.extend_by_absorbing(other.single_vals);
self.multi_vals.extend_by_absorbing(other.multi_vals);
self.unique_reverse.extend_by_absorbing(other.unique_reverse);
self.non_unique_reverse.extend_by_absorbing(other.non_unique_reverse);
}
}
#[derive(Clone, Debug, Default)]
pub struct SQLiteAttributeCache {
inner: Arc<AttributeCaches>,
}
impl SQLiteAttributeCache {
fn make_mut<'s>(&'s mut self) -> &'s mut AttributeCaches {
Arc::make_mut(&mut self.inner)
}
fn make_override(&self) -> AttributeCaches {
let mut new = AttributeCaches::default();
new.forward_cached_attributes = self.inner.forward_cached_attributes.clone();
new.reverse_cached_attributes = self.inner.reverse_cached_attributes.clone();
new
}
pub fn register_forward<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// The attribute must exist!
let _ = schema.attribute_for_entid(a).ok_or_else(|| ErrorKind::UnknownAttribute(a))?;
let caches = self.make_mut();
caches.forward_cached_attributes.insert(a);
caches.repopulate(schema, sqlite, a)
}
pub fn register_reverse<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// The attribute must exist!
let _ = schema.attribute_for_entid(a).ok_or_else(|| ErrorKind::UnknownAttribute(a))?;
let caches = self.make_mut();
caches.reverse_cached_attributes.insert(a);
caches.repopulate(schema, sqlite, a)
}
pub fn register<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// TODO: reverse-index unique by default?
let caches = self.make_mut();
caches.forward_cached_attributes.insert(a);
caches.reverse_cached_attributes.insert(a);
caches.repopulate(schema, sqlite, a)
}
pub fn unregister<U>(&mut self, attribute: U)
where U: Into<Entid> {
self.make_mut().unregister_attribute(attribute);
}
pub fn unregister_all(&mut self) {
self.make_mut().unregister_all_attributes();
}
}
impl UpdateableCache for SQLiteAttributeCache {
type Error = ::errors::Error;
fn update<I>(&mut self, schema: &Schema, retractions: I, assertions: I) -> ::std::result::Result<(), Self::Error>
where I: Iterator<Item=(Entid, Entid, TypedValue)> {
self.make_mut().update(schema, retractions, assertions)
}
}
impl CachedAttributes for SQLiteAttributeCache {
fn get_values_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&Vec<TypedValue>> {
self.inner.get_values_for_entid(schema, attribute, entid)
}
fn get_value_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&TypedValue> {
self.inner.get_value_for_entid(schema, attribute, entid)
}
fn is_attribute_cached_reverse(&self, attribute: Entid) -> bool {
self.inner.is_attribute_cached_reverse(attribute)
}
fn is_attribute_cached_forward(&self, attribute: Entid) -> bool {
self.inner.is_attribute_cached_forward(attribute)
}
fn has_cached_attributes(&self) -> bool {
!self.inner.forward_cached_attributes.is_empty() ||
!self.inner.reverse_cached_attributes.is_empty()
}
fn get_entids_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<&BTreeSet<Entid>> {
self.inner.get_entids_for_value(attribute, value)
}
fn get_entid_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<Entid> {
self.inner.get_entid_for_value(attribute, value)
}
}
impl SQLiteAttributeCache {
/// Intended for use from tests.
pub fn values_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&BTreeMap<Entid, Vec<TypedValue>>>
where U: Into<Entid> {
self.inner.values_pairs(schema, attribute)
}
/// Intended for use from tests.
pub fn value_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&BTreeMap<Entid, Option<TypedValue>>>
where U: Into<Entid> {
self.inner.value_pairs(schema, attribute)
}
}
/// We maintain a diff on top of the `inner` -- existing -- cache.
/// That involves tracking unregisterings and registerings.
#[derive(Debug, Default)]
pub struct InProgressSQLiteAttributeCache {
inner: Arc<AttributeCaches>,
pub overlay: AttributeCaches,
unregistered_forward: BTreeSet<Entid>,
unregistered_reverse: BTreeSet<Entid>,
}
impl InProgressSQLiteAttributeCache {
pub fn from_cache(inner: SQLiteAttributeCache) -> InProgressSQLiteAttributeCache {
let overlay = inner.make_override();
InProgressSQLiteAttributeCache {
inner: inner.inner,
overlay: overlay,
unregistered_forward: Default::default(),
unregistered_reverse: Default::default(),
}
}
pub fn register_forward<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// The attribute must exist!
let _ = schema.attribute_for_entid(a).ok_or_else(|| ErrorKind::UnknownAttribute(a))?;
if self.is_attribute_cached_forward(a) {
return Ok(());
}
self.unregistered_forward.remove(&a);
self.overlay.forward_cached_attributes.insert(a);
self.overlay.repopulate(schema, sqlite, a)
}
pub fn register_reverse<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// The attribute must exist!
let _ = schema.attribute_for_entid(a).ok_or_else(|| ErrorKind::UnknownAttribute(a))?;
if self.is_attribute_cached_reverse(a) {
return Ok(());
}
self.unregistered_reverse.remove(&a);
self.overlay.reverse_cached_attributes.insert(a);
self.overlay.repopulate(schema, sqlite, a)
}
pub fn register<U>(&mut self, schema: &Schema, sqlite: &rusqlite::Connection, attribute: U) -> Result<()>
where U: Into<Entid> {
let a = attribute.into();
// The attribute must exist!
let _ = schema.attribute_for_entid(a).ok_or_else(|| ErrorKind::UnknownAttribute(a))?;
// TODO: reverse-index unique by default?
let reverse_done = self.is_attribute_cached_reverse(a);
let forward_done = self.is_attribute_cached_forward(a);
if forward_done && reverse_done {
return Ok(());
}
self.unregistered_forward.remove(&a);
self.unregistered_reverse.remove(&a);
if !reverse_done {
self.overlay.reverse_cached_attributes.insert(a);
}
if !forward_done {
self.overlay.forward_cached_attributes.insert(a);
}
self.overlay.repopulate(schema, sqlite, a)
}
pub fn unregister<U>(&mut self, attribute: U)
where U: Into<Entid> {
let a = attribute.into();
self.overlay.unregister_attribute(a);
self.unregistered_forward.insert(a);
self.unregistered_reverse.insert(a);
}
pub fn unregister_all(&mut self) {
self.overlay.unregister_all_attributes();
self.unregistered_forward.extend(self.inner.forward_cached_attributes.iter().cloned());
self.unregistered_reverse.extend(self.inner.reverse_cached_attributes.iter().cloned());
}
}
impl UpdateableCache for InProgressSQLiteAttributeCache {
type Error = ::errors::Error;
fn update<I>(&mut self, schema: &Schema, retractions: I, assertions: I) -> ::std::result::Result<(), Self::Error>
where I: Iterator<Item=(Entid, Entid, TypedValue)> {
self.overlay.update_with_fallback(Some(&self.inner), schema, retractions, assertions)
}
}
impl CachedAttributes for InProgressSQLiteAttributeCache {
fn get_values_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&Vec<TypedValue>> {
if self.unregistered_forward.contains(&attribute) {
None
} else {
// If it was present in `inner` but the values were deleted, there will be an empty
// array in `overlay` -- `Some(vec![])` -- and we won't fall through.
// We can safely use `or_else`.
self.overlay
.get_values_for_entid(schema, attribute, entid)
.or_else(|| self.inner.get_values_for_entid(schema, attribute, entid))
}
}
fn get_value_for_entid(&self, schema: &Schema, attribute: Entid, entid: Entid) -> Option<&TypedValue> {
if self.unregistered_forward.contains(&attribute) {
None
} else {
// If it was present in `inner` but the value was deleted, there will be `Some(None)`
// in `overlay`, and we won't fall through.
// We can safely use `or_else`.
match self.overlay.get_value_for_entid_if_present(schema, attribute, entid) {
Some(present) => present,
None => self.inner.get_value_for_entid(schema, attribute, entid),
}
}
}
fn is_attribute_cached_reverse(&self, attribute: Entid) -> bool {
!self.unregistered_reverse.contains(&attribute) &&
(self.inner.reverse_cached_attributes.contains(&attribute) ||
self.overlay.reverse_cached_attributes.contains(&attribute))
}
fn is_attribute_cached_forward(&self, attribute: Entid) -> bool {
!self.unregistered_forward.contains(&attribute) &&
(self.inner.forward_cached_attributes.contains(&attribute) ||
self.overlay.forward_cached_attributes.contains(&attribute))
}
fn has_cached_attributes(&self) -> bool {
// If we've added any, we're definitely not empty.
if self.overlay.has_cached_attributes() {
return true;
}
// If we haven't removed any, pass through to inner.
if self.unregistered_forward.is_empty() &&
self.unregistered_reverse.is_empty() {
return self.inner.has_cached_attributes();
}
// Otherwise, we need to check whether we've removed anything that was cached.
if self.inner
.forward_cached_attributes
.iter()
.filter(|a| !self.unregistered_forward.contains(a))
.next()
.is_some() {
return true;
}
self.inner
.reverse_cached_attributes
.iter()
.filter(|a| !self.unregistered_reverse.contains(a))
.next()
.is_some()
}
fn get_entids_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<&BTreeSet<Entid>> {
if self.unregistered_reverse.contains(&attribute) {
None
} else {
self.overlay
.get_entids_for_value(attribute, value)
.or_else(|| self.inner.get_entids_for_value(attribute, value))
}
}
fn get_entid_for_value(&self, attribute: Entid, value: &TypedValue) -> Option<Entid> {
if self.unregistered_reverse.contains(&attribute) {
None
} else {
// If it was present in `inner` but the value was deleted, there will be `Some(None)`
// in `overlay`, and we won't fall through.
// We can safely use `or_else`.
match self.overlay.get_entid_for_value_if_present(attribute, value) {
Some(present) => present,
None => self.inner.get_entid_for_value(attribute, value),
}
}
}
}
impl InProgressSQLiteAttributeCache {
/// Intended for use from tests.
pub fn values_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&BTreeMap<Entid, Vec<TypedValue>>>
where U: Into<Entid> {
let a = attribute.into();
self.overlay.values_pairs(schema, a)
.or_else(|| self.inner.values_pairs(schema, a))
}
/// Intended for use from tests.
pub fn value_pairs<U>(&self, schema: &Schema, attribute: U) -> Option<&BTreeMap<Entid, Option<TypedValue>>>
where U: Into<Entid> {
let a = attribute.into();
self.overlay
.value_pairs(schema, a)
.or_else(|| self.inner.value_pairs(schema, a))
}
pub fn commit_to(self, destination: &mut SQLiteAttributeCache) {
// If the destination is empty, great: just take `overlay`.
if !destination.has_cached_attributes() {
destination.inner = Arc::new(self.overlay);
return;
}
// If we have exclusive write access to the destination cache, update it in place.
// Because the `Conn` also contains an `Arc`, this will ordinarily never be the case.
// In order to hit this code block, we need to eliminate our reference… do so by dropping
// our copy of the `Arc`.
::std::mem::drop(self.inner);
if let Some(dest) = Arc::get_mut(&mut destination.inner) {
// Yeah, we unregister in both directions. The only way
// `unregistered_forward` won't be the same as `unregistered_reverse` is if
// our `overlay` added one direction back in.
for unregistered in self.unregistered_forward.union(&self.unregistered_reverse) {
dest.unregister_attribute(*unregistered);
}
// Now replace each attribute's entry with `overlay`.
dest.absorb(self.overlay);
return;
}
// If we don't, populate `self.overlay` with whatever we didn't overwrite,
// and then shim it into `destination.`
// We haven't implemented this because it does not currently occur.
// TODO: do this! Then do this:
// destination.inner = Arc::new(self.overlay);
unimplemented!();
}
}
pub struct InProgressCacheTransactWatcher<'a> {
// A transaction might involve attributes that we cache. Track those values here so that
// we can update the cache after we commit the transaction.
collected_assertions: BTreeMap<Entid, Either<(), Vec<(Entid, TypedValue)>>>,
collected_retractions: BTreeMap<Entid, Either<(), Vec<(Entid, TypedValue)>>>,
cache: &'a mut InProgressSQLiteAttributeCache,
active: bool,
}
impl<'a> InProgressCacheTransactWatcher<'a> {
fn new(cache: &'a mut InProgressSQLiteAttributeCache) -> InProgressCacheTransactWatcher<'a> {
let mut w = InProgressCacheTransactWatcher {
collected_assertions: Default::default(),
collected_retractions: Default::default(),
cache: cache,
active: true,
};
// This won't change during a transact.
w.active = w.cache.has_cached_attributes();
w
}
}
impl<'a> TransactWatcher for InProgressCacheTransactWatcher<'a> {
fn datom(&mut self, op: OpType, e: Entid, a: Entid, v: &TypedValue) {
if !self.active {
return;
}
let target = if op == OpType::Add {
&mut self.collected_assertions
} else {
&mut self.collected_retractions
};
match target.entry(a) {
Entry::Vacant(entry) => {
let is_cached = self.cache.is_attribute_cached_forward(a) ||
self.cache.is_attribute_cached_reverse(a);
if is_cached {
entry.insert(Either::Right(vec![(e, v.clone())]));
} else {
entry.insert(Either::Left(()));
}
},
Entry::Occupied(mut entry) => {
match entry.get_mut() {
&mut Either::Left(_) => {
// Nothing to do.
},
&mut Either::Right(ref mut vec) => {
vec.push((e, v.clone()));
},
}
},
}
}
fn done(&mut self, _t: &Entid, schema: &Schema) -> Result<()> {
// Oh, I wish we had impl trait. Without it we have a six-line type signature if we
// try to break this out as a helper function.
let collected_retractions = mem::replace(&mut self.collected_retractions, Default::default());
let collected_assertions = mem::replace(&mut self.collected_assertions, Default::default());
let mut intermediate_expansion =
once(collected_retractions)
.chain(once(collected_assertions))
.into_iter()
.map(move |tree| tree.into_iter()
.filter_map(move |(a, evs)| {
match evs {
// Drop the empty placeholders.
Either::Left(_) => None,
Either::Right(vec) => Some((a, vec)),
}
})
.flat_map(move |(a, evs)| {
// Flatten into a vec of (a, e, v).
evs.into_iter().map(move |(e, v)| (a, e, v))
}));
let retractions = intermediate_expansion.next().unwrap();
let assertions = intermediate_expansion.next().unwrap();
self.cache.update(schema, retractions, assertions)
}
}
impl InProgressSQLiteAttributeCache {
pub fn transact_watcher<'a>(&'a mut self) -> InProgressCacheTransactWatcher<'a> {
InProgressCacheTransactWatcher::new(self)
}
}