Merge pull request #101 from barakmich/materializer_iterator
Add Materialize Iterator
This commit is contained in:
commit
7e7371c3c8
5 changed files with 303 additions and 4 deletions
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@ -348,7 +348,7 @@ func TestQueries(t *testing.T) {
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// TODO(kortschak) Be more rigorous in this result validation.
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if len(got) != len(test.expect) {
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t.Errorf("Unexpected number of results, got:%d expect:%d.", len(got), len(test.expect))
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t.Errorf("Unexpected number of results, got:%d expect:%d on %s.", len(got), len(test.expect), test.message)
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}
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}
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}
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@ -153,6 +153,22 @@ func Next(it Iterator) (Value, bool) {
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return nil, false
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}
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// Height is a convienence function to measure the height of an iterator tree.
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func Height(it Iterator, until Type) int {
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if it.Type() == until {
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return 1
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}
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subs := it.SubIterators()
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maxDepth := 0
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for _, sub := range subs {
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h := Height(sub, until)
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if h > maxDepth {
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maxDepth = h
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}
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}
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return maxDepth + 1
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}
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// FixedIterator wraps iterators that are modifiable by addition of fixed value sets.
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type FixedIterator interface {
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Iterator
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@ -180,6 +196,7 @@ const (
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Fixed
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Not
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Optional
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Materialize
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)
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var (
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@ -200,6 +217,7 @@ var (
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"fixed",
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"not",
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"optional",
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"materialize",
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}
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)
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@ -70,6 +70,8 @@ func (it *And) Optimize() (graph.Iterator, bool) {
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// now a permutation of itself, but the contents are unchanged.
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its = optimizeOrder(its)
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its = materializeIts(its)
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// Okay! At this point we have an optimized order.
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// The easiest thing to do at this point is merely to create a new And iterator
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@ -293,6 +295,21 @@ func hasOneUsefulIterator(its []graph.Iterator) graph.Iterator {
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return nil
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}
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func materializeIts(its []graph.Iterator) []graph.Iterator {
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var out []graph.Iterator
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for _, it := range its {
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stats := it.Stats()
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if stats.Size*stats.NextCost < stats.ContainsCost {
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if graph.Height(it, graph.Materialize) > 10 {
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out = append(out, NewMaterialize(it))
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continue
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}
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}
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out = append(out, it)
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}
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return out
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}
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// and.Stats() lives here in and-iterator-optimize.go because it may
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// in the future return different statistics based on how it is optimized.
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// For now, however, it's pretty static.
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261
graph/iterator/materialize_iterator.go
Normal file
261
graph/iterator/materialize_iterator.go
Normal file
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@ -0,0 +1,261 @@
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// Copyright 2014 The Cayley Authors. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package iterator
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// A simple iterator that, when first called Contains() or Next() upon, materializes the whole subiterator, stores it locally, and responds. Essentially a cache.
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import (
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"fmt"
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"strings"
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"github.com/barakmich/glog"
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"github.com/google/cayley/graph"
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)
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var abortMaterializeAt = 1000
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type result struct {
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id graph.Value
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tags map[string]graph.Value
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}
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type Materialize struct {
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uid uint64
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tags graph.Tagger
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containsMap map[graph.Value]int
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values [][]result
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index int
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subindex int
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subIt graph.Iterator
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hasRun bool
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aborted bool
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}
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func NewMaterialize(sub graph.Iterator) *Materialize {
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return &Materialize{
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uid: NextUID(),
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containsMap: make(map[graph.Value]int),
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subIt: sub,
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index: -1,
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}
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}
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func (it *Materialize) UID() uint64 {
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return it.uid
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}
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func (it *Materialize) Reset() {
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it.subIt.Reset()
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it.index = -1
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}
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func (it *Materialize) Close() {
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it.subIt.Close()
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it.containsMap = nil
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it.values = nil
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it.hasRun = false
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}
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func (it *Materialize) Tagger() *graph.Tagger {
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return &it.tags
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}
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func (it *Materialize) TagResults(dst map[string]graph.Value) {
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if !it.hasRun {
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return
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}
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if it.aborted {
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it.subIt.TagResults(dst)
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return
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}
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if it.Result() == nil {
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return
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}
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for _, tag := range it.tags.Tags() {
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dst[tag] = it.Result()
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}
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for tag, value := range it.values[it.index][it.subindex].tags {
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dst[tag] = value
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}
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}
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func (it *Materialize) Clone() graph.Iterator {
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out := NewMaterialize(it.subIt.Clone())
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out.tags.CopyFrom(it)
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if it.hasRun {
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out.hasRun = true
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out.aborted = it.aborted
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out.values = it.values
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out.containsMap = it.containsMap
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}
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return out
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}
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// Print some information about the iterator.
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func (it *Materialize) DebugString(indent int) string {
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return fmt.Sprintf("%s(%s tags: %s Size: %d\n%s)",
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strings.Repeat(" ", indent),
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it.Type(),
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it.tags.Tags(),
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len(it.values),
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it.subIt.DebugString(indent+4),
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)
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}
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// Register this iterator as a Materialize iterator.
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func (it *Materialize) Type() graph.Type { return graph.Materialize }
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// DEPRECATED
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func (it *Materialize) ResultTree() *graph.ResultTree {
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tree := graph.NewResultTree(it.Result())
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tree.AddSubtree(it.subIt.ResultTree())
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return tree
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}
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func (it *Materialize) Result() graph.Value {
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if len(it.values) == 0 {
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return nil
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}
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if it.index == -1 {
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return nil
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}
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if it.index >= len(it.values) {
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return nil
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}
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return it.values[it.index][it.subindex].id
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}
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func (it *Materialize) SubIterators() []graph.Iterator {
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return []graph.Iterator{it.subIt}
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}
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func (it *Materialize) Optimize() (graph.Iterator, bool) {
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newSub, changed := it.subIt.Optimize()
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if changed {
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it.subIt = newSub
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if it.subIt.Type() == graph.Null {
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return it.subIt, true
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}
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}
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return it, false
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}
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// Size is the number of values stored, if we've got them all.
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// Otherwise, guess based on the size of the subiterator.
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func (it *Materialize) Size() (int64, bool) {
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if it.hasRun {
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return int64(len(it.values)), true
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}
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return it.subIt.Size()
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}
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// The entire point of Materialize is to amortize the cost by
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// putting it all up front.
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func (it *Materialize) Stats() graph.IteratorStats {
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overhead := int64(2)
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size, _ := it.Size()
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subitStats := it.subIt.Stats()
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return graph.IteratorStats{
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ContainsCost: overhead * subitStats.NextCost,
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NextCost: overhead * subitStats.NextCost,
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Size: size,
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}
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}
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func (it *Materialize) Next() (graph.Value, bool) {
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graph.NextLogIn(it)
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if !it.hasRun {
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it.materializeSet()
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}
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if it.aborted {
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return graph.Next(it.subIt)
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}
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it.index++
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it.subindex = 0
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if it.index >= len(it.values) {
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return graph.NextLogOut(it, nil, false)
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}
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return graph.NextLogOut(it, it.Result(), true)
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}
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func (it *Materialize) Contains(v graph.Value) bool {
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graph.ContainsLogIn(it, v)
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if !it.hasRun {
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it.materializeSet()
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}
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if it.aborted {
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return it.subIt.Contains(v)
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}
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if i, ok := it.containsMap[v]; ok {
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it.index = i
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it.subindex = 0
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return graph.ContainsLogOut(it, v, true)
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}
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return graph.ContainsLogOut(it, v, false)
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}
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func (it *Materialize) NextResult() bool {
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if !it.hasRun {
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it.materializeSet()
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}
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if it.aborted {
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return it.subIt.NextResult()
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}
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it.subindex++
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if it.subindex >= len(it.values[it.index]) {
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// Don't go off the end of the world
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it.subindex--
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return false
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}
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return true
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}
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func (it *Materialize) materializeSet() {
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i := 0
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for {
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val, ok := graph.Next(it.subIt)
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if !ok {
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break
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}
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i += 1
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if i > abortMaterializeAt {
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it.aborted = true
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break
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}
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if _, ok := it.containsMap[val]; !ok {
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it.containsMap[val] = len(it.values)
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it.values = append(it.values, nil)
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}
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index := it.containsMap[val]
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tags := make(map[string]graph.Value)
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it.subIt.TagResults(tags)
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it.values[index] = append(it.values[index], result{id: val, tags: tags})
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for it.subIt.NextResult() == true {
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tags := make(map[string]graph.Value)
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it.subIt.TagResults(tags)
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it.values[index] = append(it.values[index], result{id: val, tags: tags})
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}
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}
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if it.aborted {
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it.values = nil
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it.containsMap = nil
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it.subIt.Reset()
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}
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glog.Infof("Materialization List %d: %#v", it.values)
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it.hasRun = true
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}
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@ -28,14 +28,17 @@ import (
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"github.com/google/cayley/quad"
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)
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// Defines an opaque "triple store value" type. However the backend wishes to
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// implement it, a Value is merely a token to a triple or a node that the backing
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// store itself understands, and the base iterators pass around.
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// Value defines an opaque "triple store value" type. However the backend wishes
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// to implement it, a Value is merely a token to a triple or a node that the
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// backing store itself understands, and the base iterators pass around.
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//
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// For example, in a very traditional, graphd-style graph, these are int64s
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// (guids of the primitives). In a very direct sort of graph, these could be
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// pointers to structs, or merely triples, or whatever works best for the
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// backing store.
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//
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// These must be comparable, ie, not arrays or maps, as they may be used as keys
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// for maps.
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type Value interface{}
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type TripleStore interface {
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