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and.go
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and.go
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// Defines the And iterator, one of the base iterators. And requires no
// knowledge of the constituent QuadStore; its sole purpose is to act as an
// intersection operator across the subiterators it is given. If one iterator
// contains [1,3,5] and another [2,3,4] -- then And is an iterator that
// 'contains' [3]
//
// It accomplishes this in one of two ways. If it is a Next()ed iterator (that
// is, it is a top level iterator, or on the "Next() path", then it will Next()
// it's primary iterator (helpfully, and.primary_it) and Contains() the resultant
// value against it's other iterators. If it matches all of them, then it
// returns that value. Otherwise, it repeats the process.
//
// If it's on a Contains() path, it merely Contains()s every iterator, and returns the
// logical AND of each result.
package iterator
import (
"github.com/cayleygraph/cayley/graph"
)
// The And iterator. Consists of a number of subiterators, the primary of which will
// be Next()ed if next is called.
type And struct {
uid uint64
tags graph.Tagger
internalIterators []graph.Iterator
itCount int
primaryIt graph.Iterator
checkList []graph.Iterator
result graph.Value
runstats graph.IteratorStats
err error
qs graph.QuadStore
}
// NewAnd creates an And iterator. `qs` is only required when needing a handle
// for QuadStore-specific optimizations, otherwise nil is acceptable.
func NewAnd(qs graph.QuadStore, sub ...graph.Iterator) *And {
it := &And{
uid: NextUID(),
internalIterators: make([]graph.Iterator, 0, 20),
qs: qs,
}
for _, s := range sub {
it.AddSubIterator(s)
}
return it
}
func (it *And) UID() uint64 {
return it.uid
}
// Reset all internal iterators
func (it *And) Reset() {
it.result = nil
it.primaryIt.Reset()
for _, sub := range it.internalIterators {
sub.Reset()
}
it.checkList = nil
}
func (it *And) Tagger() *graph.Tagger {
return &it.tags
}
// An extended TagResults, as it needs to add it's own results and
// recurse down it's subiterators.
func (it *And) TagResults(dst map[string]graph.Value) {
for _, tag := range it.tags.Tags() {
dst[tag] = it.Result()
}
for tag, value := range it.tags.Fixed() {
dst[tag] = value
}
if it.primaryIt != nil {
it.primaryIt.TagResults(dst)
}
for _, sub := range it.internalIterators {
sub.TagResults(dst)
}
}
func (it *And) Clone() graph.Iterator {
and := NewAnd(it.qs)
and.AddSubIterator(it.primaryIt.Clone())
and.tags.CopyFrom(it)
for _, sub := range it.internalIterators {
and.AddSubIterator(sub.Clone())
}
if it.checkList != nil {
and.optimizeContains()
}
return and
}
// Returns a slice of the subiterators, in order (primary iterator first).
func (it *And) SubIterators() []graph.Iterator {
iters := make([]graph.Iterator, len(it.internalIterators)+1)
iters[0] = it.primaryIt
copy(iters[1:], it.internalIterators)
return iters
}
func (it *And) Describe() graph.Description {
subIts := make([]graph.Description, len(it.internalIterators))
for i, sub := range it.internalIterators {
subIts[i] = sub.Describe()
}
primary := it.primaryIt.Describe()
return graph.Description{
UID: it.UID(),
Type: it.Type(),
Tags: it.tags.Tags(),
Iterator: &primary,
Iterators: subIts,
}
}
// Add a subiterator to this And iterator.
//
// The first iterator that is added becomes the primary iterator. This is
// important. Calling Optimize() is the way to change the order based on
// subiterator statistics. Without Optimize(), the order added is the order
// used.
func (it *And) AddSubIterator(sub graph.Iterator) {
if it.itCount > 0 {
it.internalIterators = append(it.internalIterators, sub)
it.itCount++
return
}
it.primaryIt = sub
it.itCount++
}
// Returns advances the And iterator. Because the And is the intersection of its
// subiterators, it must choose one subiterator to produce a candidate, and check
// this value against the subiterators. A productive choice of primary iterator
// is therefore very important.
func (it *And) Next() bool {
graph.NextLogIn(it)
it.runstats.Next += 1
for it.primaryIt.Next() {
curr := it.primaryIt.Result()
if it.subItsContain(curr, nil) {
it.result = curr
return graph.NextLogOut(it, true)
}
}
it.err = it.primaryIt.Err()
return graph.NextLogOut(it, false)
}
func (it *And) Err() error {
return it.err
}
func (it *And) Result() graph.Value {
return it.result
}
// Checks a value against the non-primary iterators, in order.
func (it *And) subItsContain(val graph.Value, lastResult graph.Value) bool {
var subIsGood = true
for i, sub := range it.internalIterators {
subIsGood = sub.Contains(val)
if !subIsGood {
if lastResult != nil {
for j := 0; j < i; j++ {
it.internalIterators[j].Contains(lastResult)
}
}
break
}
}
return subIsGood
}
func (it *And) checkContainsList(val graph.Value, lastResult graph.Value) bool {
ok := true
for i, c := range it.checkList {
ok = c.Contains(val)
if !ok {
it.err = c.Err()
if it.err != nil {
return false
}
if lastResult != nil {
for j := 0; j < i; j++ {
// One of the iterators has determined that this value doesn't
// match. However, the iterators that came before in the list
// may have returned "ok" to Contains(). We need to set all
// the tags back to what the previous result was -- effectively
// seeking back exactly one -- so we check all the prior iterators
// with the (already verified) result and throw away the result,
// which will be 'true'
it.checkList[j].Contains(lastResult)
it.err = it.checkList[j].Err()
if it.err != nil {
return false
}
}
}
break
}
}
if ok {
it.result = val
}
return graph.ContainsLogOut(it, val, ok)
}
// Check a value against the entire iterator, in order.
func (it *And) Contains(val graph.Value) bool {
graph.ContainsLogIn(it, val)
it.runstats.Contains += 1
lastResult := it.result
if it.checkList != nil {
return it.checkContainsList(val, lastResult)
}
mainGood := it.primaryIt.Contains(val)
if mainGood {
othersGood := it.subItsContain(val, lastResult)
if othersGood {
it.result = val
return graph.ContainsLogOut(it, val, true)
}
}
if lastResult != nil {
it.primaryIt.Contains(lastResult)
}
return graph.ContainsLogOut(it, val, false)
}
// Returns the approximate size of the And iterator. Because we're dealing
// with an intersection, we know that the largest we can be is the size of the
// smallest iterator. This is the heuristic we shall follow. Better heuristics
// welcome.
func (it *And) Size() (int64, bool) {
val, b := it.primaryIt.Size()
for _, sub := range it.internalIterators {
newval, newb := sub.Size()
if val > newval {
val = newval
}
b = newb && b
}
return val, b
}
// An And has no NextPath of its own -- that is, there are no other values
// which satisfy our previous result that are not the result itself. Our
// subiterators might, however, so just pass the call recursively.
func (it *And) NextPath() bool {
if it.primaryIt.NextPath() {
return true
}
it.err = it.primaryIt.Err()
if it.err != nil {
return false
}
for _, sub := range it.internalIterators {
if sub.NextPath() {
return true
}
it.err = sub.Err()
if it.err != nil {
return false
}
}
return false
}
// Perform and-specific cleanup, of which there currently is none.
func (it *And) cleanUp() {}
// Close this iterator, and, by extension, close the subiterators.
// Close should be idempotent, and it follows that if it's subiterators
// follow this contract, the And follows the contract. It closes all
// subiterators it can, but returns the first error it encounters.
func (it *And) Close() error {
it.cleanUp()
err := it.primaryIt.Close()
for _, sub := range it.internalIterators {
_err := sub.Close()
if _err != nil && err == nil {
err = _err
}
}
return err
}
// Register this as an "and" iterator.
func (it *And) Type() graph.Type { return graph.And }
var _ graph.Iterator = &And{}