plugeth/vendor/github.com/hashicorp/golang-lru/2q.go
Péter Szilágyi 289b30715d Godeps, vendor: convert dependency management to trash (#3198)
This commit converts the dependency management from Godeps to the vendor
folder, also switching the tool from godep to trash. Since the upstream tool
lacks a few features proposed via a few PRs, until those PRs are merged in
(if), use github.com/karalabe/trash.

You can update dependencies via trash --update.

All dependencies have been updated to their latest version.

Parts of the build system are reworked to drop old notions of Godeps and
invocation of the go vet command so that it doesn't run against the vendor
folder, as that will just blow up during vetting.

The conversion drops OpenCL (and hence GPU mining support) from ethash and our
codebase. The short reasoning is that there's noone to maintain and having
opencl libs in our deps messes up builds as go install ./... tries to build
them, failing with unsatisfied link errors for the C OpenCL deps.

golang.org/x/net/context is not vendored in. We expect it to be fetched by the
user (i.e. using go get). To keep ci.go builds reproducible the package is
"vendored" in build/_vendor.
2016-10-28 19:05:01 +02:00

213 lines
4.9 KiB
Go

package lru
import (
"fmt"
"sync"
"github.com/hashicorp/golang-lru/simplelru"
)
const (
// Default2QRecentRatio is the ratio of the 2Q cache dedicated
// to recently added entries that have only been accessed once.
Default2QRecentRatio = 0.25
// Default2QGhostEntries is the default ratio of ghost
// entries kept to track entries recently evicted
Default2QGhostEntries = 0.50
)
// TwoQueueCache is a thread-safe fixed size 2Q cache.
// 2Q is an enhancement over the standard LRU cache
// in that it tracks both frequently and recently used
// entries separately. This avoids a burst in access to new
// entries from evicting frequently used entries. It adds some
// additional tracking overhead to the standard LRU cache, and is
// computationally about 2x the cost, and adds some metadata over
// head. The ARCCache is similar, but does not require setting any
// parameters.
type TwoQueueCache struct {
size int
recentSize int
recent *simplelru.LRU
frequent *simplelru.LRU
recentEvict *simplelru.LRU
lock sync.RWMutex
}
// New2Q creates a new TwoQueueCache using the default
// values for the parameters.
func New2Q(size int) (*TwoQueueCache, error) {
return New2QParams(size, Default2QRecentRatio, Default2QGhostEntries)
}
// New2QParams creates a new TwoQueueCache using the provided
// parameter values.
func New2QParams(size int, recentRatio float64, ghostRatio float64) (*TwoQueueCache, error) {
if size <= 0 {
return nil, fmt.Errorf("invalid size")
}
if recentRatio < 0.0 || recentRatio > 1.0 {
return nil, fmt.Errorf("invalid recent ratio")
}
if ghostRatio < 0.0 || ghostRatio > 1.0 {
return nil, fmt.Errorf("invalid ghost ratio")
}
// Determine the sub-sizes
recentSize := int(float64(size) * recentRatio)
evictSize := int(float64(size) * ghostRatio)
// Allocate the LRUs
recent, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
frequent, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
recentEvict, err := simplelru.NewLRU(evictSize, nil)
if err != nil {
return nil, err
}
// Initialize the cache
c := &TwoQueueCache{
size: size,
recentSize: recentSize,
recent: recent,
frequent: frequent,
recentEvict: recentEvict,
}
return c, nil
}
func (c *TwoQueueCache) Get(key interface{}) (interface{}, bool) {
c.lock.Lock()
defer c.lock.Unlock()
// Check if this is a frequent value
if val, ok := c.frequent.Get(key); ok {
return val, ok
}
// If the value is contained in recent, then we
// promote it to frequent
if val, ok := c.recent.Peek(key); ok {
c.recent.Remove(key)
c.frequent.Add(key, val)
return val, ok
}
// No hit
return nil, false
}
func (c *TwoQueueCache) Add(key, value interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
// Check if the value is frequently used already,
// and just update the value
if c.frequent.Contains(key) {
c.frequent.Add(key, value)
return
}
// Check if the value is recently used, and promote
// the value into the frequent list
if c.recent.Contains(key) {
c.recent.Remove(key)
c.frequent.Add(key, value)
return
}
// If the value was recently evicted, add it to the
// frequently used list
if c.recentEvict.Contains(key) {
c.ensureSpace(true)
c.recentEvict.Remove(key)
c.frequent.Add(key, value)
return
}
// Add to the recently seen list
c.ensureSpace(false)
c.recent.Add(key, value)
return
}
// ensureSpace is used to ensure we have space in the cache
func (c *TwoQueueCache) ensureSpace(recentEvict bool) {
// If we have space, nothing to do
recentLen := c.recent.Len()
freqLen := c.frequent.Len()
if recentLen+freqLen < c.size {
return
}
// If the recent buffer is larger than
// the target, evict from there
if recentLen > 0 && (recentLen > c.recentSize || (recentLen == c.recentSize && !recentEvict)) {
k, _, _ := c.recent.RemoveOldest()
c.recentEvict.Add(k, nil)
return
}
// Remove from the frequent list otherwise
c.frequent.RemoveOldest()
}
func (c *TwoQueueCache) Len() int {
c.lock.RLock()
defer c.lock.RUnlock()
return c.recent.Len() + c.frequent.Len()
}
func (c *TwoQueueCache) Keys() []interface{} {
c.lock.RLock()
defer c.lock.RUnlock()
k1 := c.frequent.Keys()
k2 := c.recent.Keys()
return append(k1, k2...)
}
func (c *TwoQueueCache) Remove(key interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
if c.frequent.Remove(key) {
return
}
if c.recent.Remove(key) {
return
}
if c.recentEvict.Remove(key) {
return
}
}
func (c *TwoQueueCache) Purge() {
c.lock.Lock()
defer c.lock.Unlock()
c.recent.Purge()
c.frequent.Purge()
c.recentEvict.Purge()
}
func (c *TwoQueueCache) Contains(key interface{}) bool {
c.lock.RLock()
defer c.lock.RUnlock()
return c.frequent.Contains(key) || c.recent.Contains(key)
}
func (c *TwoQueueCache) Peek(key interface{}) (interface{}, bool) {
c.lock.RLock()
defer c.lock.RUnlock()
if val, ok := c.frequent.Peek(key); ok {
return val, ok
}
return c.recent.Peek(key)
}