mirror of
https://github.com/superseriousbusiness/gotosocial.git
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29007b1b88
* update bun libraries to v1.2.5 * pin old v1.29.0 of otel
874 lines
26 KiB
Go
874 lines
26 KiB
Go
package xsync
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import (
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"fmt"
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"math"
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"runtime"
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"strings"
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"sync"
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"sync/atomic"
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"unsafe"
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)
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type mapResizeHint int
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const (
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mapGrowHint mapResizeHint = 0
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mapShrinkHint mapResizeHint = 1
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mapClearHint mapResizeHint = 2
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)
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const (
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// number of Map entries per bucket; 3 entries lead to size of 64B
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// (one cache line) on 64-bit machines
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entriesPerMapBucket = 3
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// threshold fraction of table occupation to start a table shrinking
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// when deleting the last entry in a bucket chain
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mapShrinkFraction = 128
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// map load factor to trigger a table resize during insertion;
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// a map holds up to mapLoadFactor*entriesPerMapBucket*mapTableLen
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// key-value pairs (this is a soft limit)
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mapLoadFactor = 0.75
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// minimal table size, i.e. number of buckets; thus, minimal map
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// capacity can be calculated as entriesPerMapBucket*defaultMinMapTableLen
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defaultMinMapTableLen = 32
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// minimum counter stripes to use
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minMapCounterLen = 8
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// maximum counter stripes to use; stands for around 4KB of memory
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maxMapCounterLen = 32
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)
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var (
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topHashMask = uint64((1<<20)-1) << 44
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topHashEntryMasks = [3]uint64{
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topHashMask,
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topHashMask >> 20,
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topHashMask >> 40,
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}
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)
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// Map is like a Go map[string]interface{} but is safe for concurrent
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// use by multiple goroutines without additional locking or
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// coordination. It follows the interface of sync.Map with
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// a number of valuable extensions like Compute or Size.
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//
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// A Map must not be copied after first use.
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//
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// Map uses a modified version of Cache-Line Hash Table (CLHT)
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// data structure: https://github.com/LPD-EPFL/CLHT
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//
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// CLHT is built around idea to organize the hash table in
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// cache-line-sized buckets, so that on all modern CPUs update
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// operations complete with at most one cache-line transfer.
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// Also, Get operations involve no write to memory, as well as no
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// mutexes or any other sort of locks. Due to this design, in all
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// considered scenarios Map outperforms sync.Map.
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//
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// One important difference with sync.Map is that only string keys
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// are supported. That's because Golang standard library does not
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// expose the built-in hash functions for interface{} values.
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type Map struct {
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totalGrowths int64
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totalShrinks int64
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resizing int64 // resize in progress flag; updated atomically
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resizeMu sync.Mutex // only used along with resizeCond
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resizeCond sync.Cond // used to wake up resize waiters (concurrent modifications)
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table unsafe.Pointer // *mapTable
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minTableLen int
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growOnly bool
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}
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type mapTable struct {
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buckets []bucketPadded
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// striped counter for number of table entries;
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// used to determine if a table shrinking is needed
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// occupies min(buckets_memory/1024, 64KB) of memory
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size []counterStripe
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seed uint64
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}
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type counterStripe struct {
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c int64
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//lint:ignore U1000 prevents false sharing
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pad [cacheLineSize - 8]byte
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}
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type bucketPadded struct {
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//lint:ignore U1000 ensure each bucket takes two cache lines on both 32 and 64-bit archs
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pad [cacheLineSize - unsafe.Sizeof(bucket{})]byte
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bucket
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}
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type bucket struct {
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next unsafe.Pointer // *bucketPadded
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keys [entriesPerMapBucket]unsafe.Pointer
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values [entriesPerMapBucket]unsafe.Pointer
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// topHashMutex is a 2-in-1 value.
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//
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// It contains packed top 20 bits (20 MSBs) of hash codes for keys
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// stored in the bucket:
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// | key 0's top hash | key 1's top hash | key 2's top hash | bitmap for keys | mutex |
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// | 20 bits | 20 bits | 20 bits | 3 bits | 1 bit |
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//
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// The least significant bit is used for the mutex (TTAS spinlock).
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topHashMutex uint64
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}
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type rangeEntry struct {
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key unsafe.Pointer
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value unsafe.Pointer
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}
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// MapConfig defines configurable Map/MapOf options.
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type MapConfig struct {
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sizeHint int
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growOnly bool
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}
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// WithPresize configures new Map/MapOf instance with capacity enough
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// to hold sizeHint entries. The capacity is treated as the minimal
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// capacity meaning that the underlying hash table will never shrink
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// to a smaller capacity. If sizeHint is zero or negative, the value
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// is ignored.
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func WithPresize(sizeHint int) func(*MapConfig) {
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return func(c *MapConfig) {
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c.sizeHint = sizeHint
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}
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}
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// WithGrowOnly configures new Map/MapOf instance to be grow-only.
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// This means that the underlying hash table grows in capacity when
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// new keys are added, but does not shrink when keys are deleted.
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// The only exception to this rule is the Clear method which
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// shrinks the hash table back to the initial capacity.
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func WithGrowOnly() func(*MapConfig) {
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return func(c *MapConfig) {
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c.growOnly = true
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}
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}
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// NewMap creates a new Map instance configured with the given
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// options.
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func NewMap(options ...func(*MapConfig)) *Map {
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c := &MapConfig{
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sizeHint: defaultMinMapTableLen * entriesPerMapBucket,
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}
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for _, o := range options {
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o(c)
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}
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m := &Map{}
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m.resizeCond = *sync.NewCond(&m.resizeMu)
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var table *mapTable
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if c.sizeHint <= defaultMinMapTableLen*entriesPerMapBucket {
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table = newMapTable(defaultMinMapTableLen)
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} else {
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tableLen := nextPowOf2(uint32((float64(c.sizeHint) / entriesPerMapBucket) / mapLoadFactor))
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table = newMapTable(int(tableLen))
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}
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m.minTableLen = len(table.buckets)
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m.growOnly = c.growOnly
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atomic.StorePointer(&m.table, unsafe.Pointer(table))
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return m
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}
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// NewMapPresized creates a new Map instance with capacity enough to hold
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// sizeHint entries. The capacity is treated as the minimal capacity
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// meaning that the underlying hash table will never shrink to
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// a smaller capacity. If sizeHint is zero or negative, the value
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// is ignored.
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//
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// Deprecated: use NewMap in combination with WithPresize.
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func NewMapPresized(sizeHint int) *Map {
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return NewMap(WithPresize(sizeHint))
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}
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func newMapTable(minTableLen int) *mapTable {
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buckets := make([]bucketPadded, minTableLen)
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counterLen := minTableLen >> 10
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if counterLen < minMapCounterLen {
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counterLen = minMapCounterLen
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} else if counterLen > maxMapCounterLen {
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counterLen = maxMapCounterLen
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}
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counter := make([]counterStripe, counterLen)
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t := &mapTable{
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buckets: buckets,
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size: counter,
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seed: makeSeed(),
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}
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return t
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}
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// Load returns the value stored in the map for a key, or nil if no
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// value is present.
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// The ok result indicates whether value was found in the map.
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func (m *Map) Load(key string) (value interface{}, ok bool) {
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table := (*mapTable)(atomic.LoadPointer(&m.table))
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hash := hashString(key, table.seed)
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bidx := uint64(len(table.buckets)-1) & hash
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b := &table.buckets[bidx]
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for {
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topHashes := atomic.LoadUint64(&b.topHashMutex)
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for i := 0; i < entriesPerMapBucket; i++ {
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if !topHashMatch(hash, topHashes, i) {
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continue
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}
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atomic_snapshot:
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// Start atomic snapshot.
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vp := atomic.LoadPointer(&b.values[i])
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kp := atomic.LoadPointer(&b.keys[i])
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if kp != nil && vp != nil {
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if key == derefKey(kp) {
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if uintptr(vp) == uintptr(atomic.LoadPointer(&b.values[i])) {
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// Atomic snapshot succeeded.
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return derefValue(vp), true
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}
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// Concurrent update/remove. Go for another spin.
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goto atomic_snapshot
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}
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}
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}
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bptr := atomic.LoadPointer(&b.next)
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if bptr == nil {
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return
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}
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b = (*bucketPadded)(bptr)
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}
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}
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// Store sets the value for a key.
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func (m *Map) Store(key string, value interface{}) {
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m.doCompute(
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key,
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func(interface{}, bool) (interface{}, bool) {
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return value, false
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},
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false,
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false,
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)
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}
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// LoadOrStore returns the existing value for the key if present.
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// Otherwise, it stores and returns the given value.
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// The loaded result is true if the value was loaded, false if stored.
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func (m *Map) LoadOrStore(key string, value interface{}) (actual interface{}, loaded bool) {
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return m.doCompute(
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key,
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func(interface{}, bool) (interface{}, bool) {
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return value, false
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},
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true,
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false,
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)
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}
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// LoadAndStore returns the existing value for the key if present,
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// while setting the new value for the key.
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// It stores the new value and returns the existing one, if present.
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// The loaded result is true if the existing value was loaded,
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// false otherwise.
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func (m *Map) LoadAndStore(key string, value interface{}) (actual interface{}, loaded bool) {
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return m.doCompute(
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key,
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func(interface{}, bool) (interface{}, bool) {
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return value, false
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},
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false,
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false,
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)
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}
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// LoadOrCompute returns the existing value for the key if present.
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// Otherwise, it computes the value using the provided function and
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// returns the computed value. The loaded result is true if the value
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// was loaded, false if stored.
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//
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// This call locks a hash table bucket while the compute function
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// is executed. It means that modifications on other entries in
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// the bucket will be blocked until the valueFn executes. Consider
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// this when the function includes long-running operations.
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func (m *Map) LoadOrCompute(key string, valueFn func() interface{}) (actual interface{}, loaded bool) {
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return m.doCompute(
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key,
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func(interface{}, bool) (interface{}, bool) {
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return valueFn(), false
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},
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true,
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false,
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)
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}
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// Compute either sets the computed new value for the key or deletes
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// the value for the key. When the delete result of the valueFn function
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// is set to true, the value will be deleted, if it exists. When delete
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// is set to false, the value is updated to the newValue.
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// The ok result indicates whether value was computed and stored, thus, is
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// present in the map. The actual result contains the new value in cases where
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// the value was computed and stored. See the example for a few use cases.
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//
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// This call locks a hash table bucket while the compute function
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// is executed. It means that modifications on other entries in
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// the bucket will be blocked until the valueFn executes. Consider
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// this when the function includes long-running operations.
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func (m *Map) Compute(
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key string,
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valueFn func(oldValue interface{}, loaded bool) (newValue interface{}, delete bool),
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) (actual interface{}, ok bool) {
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return m.doCompute(key, valueFn, false, true)
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}
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// LoadAndDelete deletes the value for a key, returning the previous
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// value if any. The loaded result reports whether the key was
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// present.
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func (m *Map) LoadAndDelete(key string) (value interface{}, loaded bool) {
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return m.doCompute(
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key,
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func(value interface{}, loaded bool) (interface{}, bool) {
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return value, true
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},
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false,
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false,
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)
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}
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// Delete deletes the value for a key.
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func (m *Map) Delete(key string) {
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m.doCompute(
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key,
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func(value interface{}, loaded bool) (interface{}, bool) {
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return value, true
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},
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false,
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false,
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)
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}
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func (m *Map) doCompute(
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key string,
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valueFn func(oldValue interface{}, loaded bool) (interface{}, bool),
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loadIfExists, computeOnly bool,
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) (interface{}, bool) {
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// Read-only path.
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if loadIfExists {
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if v, ok := m.Load(key); ok {
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return v, !computeOnly
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}
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}
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// Write path.
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for {
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compute_attempt:
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var (
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emptyb *bucketPadded
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emptyidx int
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hintNonEmpty int
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)
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table := (*mapTable)(atomic.LoadPointer(&m.table))
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tableLen := len(table.buckets)
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hash := hashString(key, table.seed)
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bidx := uint64(len(table.buckets)-1) & hash
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rootb := &table.buckets[bidx]
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lockBucket(&rootb.topHashMutex)
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// The following two checks must go in reverse to what's
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// in the resize method.
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if m.resizeInProgress() {
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// Resize is in progress. Wait, then go for another attempt.
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unlockBucket(&rootb.topHashMutex)
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m.waitForResize()
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goto compute_attempt
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}
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if m.newerTableExists(table) {
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// Someone resized the table. Go for another attempt.
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unlockBucket(&rootb.topHashMutex)
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goto compute_attempt
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}
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b := rootb
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for {
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topHashes := atomic.LoadUint64(&b.topHashMutex)
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for i := 0; i < entriesPerMapBucket; i++ {
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if b.keys[i] == nil {
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if emptyb == nil {
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emptyb = b
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emptyidx = i
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}
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continue
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}
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if !topHashMatch(hash, topHashes, i) {
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hintNonEmpty++
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continue
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}
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if key == derefKey(b.keys[i]) {
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vp := b.values[i]
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if loadIfExists {
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unlockBucket(&rootb.topHashMutex)
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return derefValue(vp), !computeOnly
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}
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// In-place update/delete.
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// We get a copy of the value via an interface{} on each call,
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// thus the live value pointers are unique. Otherwise atomic
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// snapshot won't be correct in case of multiple Store calls
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// using the same value.
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oldValue := derefValue(vp)
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newValue, del := valueFn(oldValue, true)
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if del {
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// Deletion.
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// First we update the value, then the key.
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// This is important for atomic snapshot states.
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atomic.StoreUint64(&b.topHashMutex, eraseTopHash(topHashes, i))
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atomic.StorePointer(&b.values[i], nil)
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atomic.StorePointer(&b.keys[i], nil)
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leftEmpty := false
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if hintNonEmpty == 0 {
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leftEmpty = isEmptyBucket(b)
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}
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unlockBucket(&rootb.topHashMutex)
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table.addSize(bidx, -1)
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// Might need to shrink the table.
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if leftEmpty {
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m.resize(table, mapShrinkHint)
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}
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return oldValue, !computeOnly
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}
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nvp := unsafe.Pointer(&newValue)
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if assertionsEnabled && vp == nvp {
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panic("non-unique value pointer")
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}
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atomic.StorePointer(&b.values[i], nvp)
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unlockBucket(&rootb.topHashMutex)
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if computeOnly {
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// Compute expects the new value to be returned.
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return newValue, true
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}
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// LoadAndStore expects the old value to be returned.
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return oldValue, true
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}
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hintNonEmpty++
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}
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if b.next == nil {
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if emptyb != nil {
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// Insertion into an existing bucket.
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var zeroedV interface{}
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newValue, del := valueFn(zeroedV, false)
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if del {
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unlockBucket(&rootb.topHashMutex)
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return zeroedV, false
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}
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// First we update the value, then the key.
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// This is important for atomic snapshot states.
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topHashes = atomic.LoadUint64(&emptyb.topHashMutex)
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atomic.StoreUint64(&emptyb.topHashMutex, storeTopHash(hash, topHashes, emptyidx))
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atomic.StorePointer(&emptyb.values[emptyidx], unsafe.Pointer(&newValue))
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atomic.StorePointer(&emptyb.keys[emptyidx], unsafe.Pointer(&key))
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unlockBucket(&rootb.topHashMutex)
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table.addSize(bidx, 1)
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return newValue, computeOnly
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}
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growThreshold := float64(tableLen) * entriesPerMapBucket * mapLoadFactor
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if table.sumSize() > int64(growThreshold) {
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// Need to grow the table. Then go for another attempt.
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unlockBucket(&rootb.topHashMutex)
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m.resize(table, mapGrowHint)
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goto compute_attempt
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}
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// Insertion into a new bucket.
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var zeroedV interface{}
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newValue, del := valueFn(zeroedV, false)
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if del {
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unlockBucket(&rootb.topHashMutex)
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return newValue, false
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}
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// Create and append a bucket.
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newb := new(bucketPadded)
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newb.keys[0] = unsafe.Pointer(&key)
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newb.values[0] = unsafe.Pointer(&newValue)
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newb.topHashMutex = storeTopHash(hash, newb.topHashMutex, 0)
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atomic.StorePointer(&b.next, unsafe.Pointer(newb))
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unlockBucket(&rootb.topHashMutex)
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table.addSize(bidx, 1)
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return newValue, computeOnly
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}
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b = (*bucketPadded)(b.next)
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}
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}
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}
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func (m *Map) newerTableExists(table *mapTable) bool {
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curTablePtr := atomic.LoadPointer(&m.table)
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return uintptr(curTablePtr) != uintptr(unsafe.Pointer(table))
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}
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func (m *Map) resizeInProgress() bool {
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return atomic.LoadInt64(&m.resizing) == 1
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}
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func (m *Map) waitForResize() {
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m.resizeMu.Lock()
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for m.resizeInProgress() {
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m.resizeCond.Wait()
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}
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m.resizeMu.Unlock()
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}
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func (m *Map) resize(knownTable *mapTable, hint mapResizeHint) {
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knownTableLen := len(knownTable.buckets)
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// Fast path for shrink attempts.
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if hint == mapShrinkHint {
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if m.growOnly ||
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m.minTableLen == knownTableLen ||
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knownTable.sumSize() > int64((knownTableLen*entriesPerMapBucket)/mapShrinkFraction) {
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return
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}
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}
|
|
// Slow path.
|
|
if !atomic.CompareAndSwapInt64(&m.resizing, 0, 1) {
|
|
// Someone else started resize. Wait for it to finish.
|
|
m.waitForResize()
|
|
return
|
|
}
|
|
var newTable *mapTable
|
|
table := (*mapTable)(atomic.LoadPointer(&m.table))
|
|
tableLen := len(table.buckets)
|
|
switch hint {
|
|
case mapGrowHint:
|
|
// Grow the table with factor of 2.
|
|
atomic.AddInt64(&m.totalGrowths, 1)
|
|
newTable = newMapTable(tableLen << 1)
|
|
case mapShrinkHint:
|
|
shrinkThreshold := int64((tableLen * entriesPerMapBucket) / mapShrinkFraction)
|
|
if tableLen > m.minTableLen && table.sumSize() <= shrinkThreshold {
|
|
// Shrink the table with factor of 2.
|
|
atomic.AddInt64(&m.totalShrinks, 1)
|
|
newTable = newMapTable(tableLen >> 1)
|
|
} else {
|
|
// No need to shrink. Wake up all waiters and give up.
|
|
m.resizeMu.Lock()
|
|
atomic.StoreInt64(&m.resizing, 0)
|
|
m.resizeCond.Broadcast()
|
|
m.resizeMu.Unlock()
|
|
return
|
|
}
|
|
case mapClearHint:
|
|
newTable = newMapTable(m.minTableLen)
|
|
default:
|
|
panic(fmt.Sprintf("unexpected resize hint: %d", hint))
|
|
}
|
|
// Copy the data only if we're not clearing the map.
|
|
if hint != mapClearHint {
|
|
for i := 0; i < tableLen; i++ {
|
|
copied := copyBucket(&table.buckets[i], newTable)
|
|
newTable.addSizePlain(uint64(i), copied)
|
|
}
|
|
}
|
|
// Publish the new table and wake up all waiters.
|
|
atomic.StorePointer(&m.table, unsafe.Pointer(newTable))
|
|
m.resizeMu.Lock()
|
|
atomic.StoreInt64(&m.resizing, 0)
|
|
m.resizeCond.Broadcast()
|
|
m.resizeMu.Unlock()
|
|
}
|
|
|
|
func copyBucket(b *bucketPadded, destTable *mapTable) (copied int) {
|
|
rootb := b
|
|
lockBucket(&rootb.topHashMutex)
|
|
for {
|
|
for i := 0; i < entriesPerMapBucket; i++ {
|
|
if b.keys[i] != nil {
|
|
k := derefKey(b.keys[i])
|
|
hash := hashString(k, destTable.seed)
|
|
bidx := uint64(len(destTable.buckets)-1) & hash
|
|
destb := &destTable.buckets[bidx]
|
|
appendToBucket(hash, b.keys[i], b.values[i], destb)
|
|
copied++
|
|
}
|
|
}
|
|
if b.next == nil {
|
|
unlockBucket(&rootb.topHashMutex)
|
|
return
|
|
}
|
|
b = (*bucketPadded)(b.next)
|
|
}
|
|
}
|
|
|
|
func appendToBucket(hash uint64, keyPtr, valPtr unsafe.Pointer, b *bucketPadded) {
|
|
for {
|
|
for i := 0; i < entriesPerMapBucket; i++ {
|
|
if b.keys[i] == nil {
|
|
b.keys[i] = keyPtr
|
|
b.values[i] = valPtr
|
|
b.topHashMutex = storeTopHash(hash, b.topHashMutex, i)
|
|
return
|
|
}
|
|
}
|
|
if b.next == nil {
|
|
newb := new(bucketPadded)
|
|
newb.keys[0] = keyPtr
|
|
newb.values[0] = valPtr
|
|
newb.topHashMutex = storeTopHash(hash, newb.topHashMutex, 0)
|
|
b.next = unsafe.Pointer(newb)
|
|
return
|
|
}
|
|
b = (*bucketPadded)(b.next)
|
|
}
|
|
}
|
|
|
|
func isEmptyBucket(rootb *bucketPadded) bool {
|
|
b := rootb
|
|
for {
|
|
for i := 0; i < entriesPerMapBucket; i++ {
|
|
if b.keys[i] != nil {
|
|
return false
|
|
}
|
|
}
|
|
if b.next == nil {
|
|
return true
|
|
}
|
|
b = (*bucketPadded)(b.next)
|
|
}
|
|
}
|
|
|
|
// Range calls f sequentially for each key and value present in the
|
|
// map. If f returns false, range stops the iteration.
|
|
//
|
|
// Range does not necessarily correspond to any consistent snapshot
|
|
// of the Map's contents: no key will be visited more than once, but
|
|
// if the value for any key is stored or deleted concurrently, Range
|
|
// may reflect any mapping for that key from any point during the
|
|
// Range call.
|
|
//
|
|
// It is safe to modify the map while iterating it, including entry
|
|
// creation, modification and deletion. However, the concurrent
|
|
// modification rule apply, i.e. the changes may be not reflected
|
|
// in the subsequently iterated entries.
|
|
func (m *Map) Range(f func(key string, value interface{}) bool) {
|
|
var zeroEntry rangeEntry
|
|
// Pre-allocate array big enough to fit entries for most hash tables.
|
|
bentries := make([]rangeEntry, 0, 16*entriesPerMapBucket)
|
|
tablep := atomic.LoadPointer(&m.table)
|
|
table := *(*mapTable)(tablep)
|
|
for i := range table.buckets {
|
|
rootb := &table.buckets[i]
|
|
b := rootb
|
|
// Prevent concurrent modifications and copy all entries into
|
|
// the intermediate slice.
|
|
lockBucket(&rootb.topHashMutex)
|
|
for {
|
|
for i := 0; i < entriesPerMapBucket; i++ {
|
|
if b.keys[i] != nil {
|
|
bentries = append(bentries, rangeEntry{
|
|
key: b.keys[i],
|
|
value: b.values[i],
|
|
})
|
|
}
|
|
}
|
|
if b.next == nil {
|
|
unlockBucket(&rootb.topHashMutex)
|
|
break
|
|
}
|
|
b = (*bucketPadded)(b.next)
|
|
}
|
|
// Call the function for all copied entries.
|
|
for j := range bentries {
|
|
k := derefKey(bentries[j].key)
|
|
v := derefValue(bentries[j].value)
|
|
if !f(k, v) {
|
|
return
|
|
}
|
|
// Remove the reference to avoid preventing the copied
|
|
// entries from being GCed until this method finishes.
|
|
bentries[j] = zeroEntry
|
|
}
|
|
bentries = bentries[:0]
|
|
}
|
|
}
|
|
|
|
// Clear deletes all keys and values currently stored in the map.
|
|
func (m *Map) Clear() {
|
|
table := (*mapTable)(atomic.LoadPointer(&m.table))
|
|
m.resize(table, mapClearHint)
|
|
}
|
|
|
|
// Size returns current size of the map.
|
|
func (m *Map) Size() int {
|
|
table := (*mapTable)(atomic.LoadPointer(&m.table))
|
|
return int(table.sumSize())
|
|
}
|
|
|
|
func derefKey(keyPtr unsafe.Pointer) string {
|
|
return *(*string)(keyPtr)
|
|
}
|
|
|
|
func derefValue(valuePtr unsafe.Pointer) interface{} {
|
|
return *(*interface{})(valuePtr)
|
|
}
|
|
|
|
func lockBucket(mu *uint64) {
|
|
for {
|
|
var v uint64
|
|
for {
|
|
v = atomic.LoadUint64(mu)
|
|
if v&1 != 1 {
|
|
break
|
|
}
|
|
runtime.Gosched()
|
|
}
|
|
if atomic.CompareAndSwapUint64(mu, v, v|1) {
|
|
return
|
|
}
|
|
runtime.Gosched()
|
|
}
|
|
}
|
|
|
|
func unlockBucket(mu *uint64) {
|
|
v := atomic.LoadUint64(mu)
|
|
atomic.StoreUint64(mu, v&^1)
|
|
}
|
|
|
|
func topHashMatch(hash, topHashes uint64, idx int) bool {
|
|
if topHashes&(1<<(idx+1)) == 0 {
|
|
// Entry is not present.
|
|
return false
|
|
}
|
|
hash = hash & topHashMask
|
|
topHashes = (topHashes & topHashEntryMasks[idx]) << (20 * idx)
|
|
return hash == topHashes
|
|
}
|
|
|
|
func storeTopHash(hash, topHashes uint64, idx int) uint64 {
|
|
// Zero out top hash at idx.
|
|
topHashes = topHashes &^ topHashEntryMasks[idx]
|
|
// Chop top 20 MSBs of the given hash and position them at idx.
|
|
hash = (hash & topHashMask) >> (20 * idx)
|
|
// Store the MSBs.
|
|
topHashes = topHashes | hash
|
|
// Mark the entry as present.
|
|
return topHashes | (1 << (idx + 1))
|
|
}
|
|
|
|
func eraseTopHash(topHashes uint64, idx int) uint64 {
|
|
return topHashes &^ (1 << (idx + 1))
|
|
}
|
|
|
|
func (table *mapTable) addSize(bucketIdx uint64, delta int) {
|
|
cidx := uint64(len(table.size)-1) & bucketIdx
|
|
atomic.AddInt64(&table.size[cidx].c, int64(delta))
|
|
}
|
|
|
|
func (table *mapTable) addSizePlain(bucketIdx uint64, delta int) {
|
|
cidx := uint64(len(table.size)-1) & bucketIdx
|
|
table.size[cidx].c += int64(delta)
|
|
}
|
|
|
|
func (table *mapTable) sumSize() int64 {
|
|
sum := int64(0)
|
|
for i := range table.size {
|
|
sum += atomic.LoadInt64(&table.size[i].c)
|
|
}
|
|
return sum
|
|
}
|
|
|
|
// MapStats is Map/MapOf statistics.
|
|
//
|
|
// Warning: map statistics are intented to be used for diagnostic
|
|
// purposes, not for production code. This means that breaking changes
|
|
// may be introduced into this struct even between minor releases.
|
|
type MapStats struct {
|
|
// RootBuckets is the number of root buckets in the hash table.
|
|
// Each bucket holds a few entries.
|
|
RootBuckets int
|
|
// TotalBuckets is the total number of buckets in the hash table,
|
|
// including root and their chained buckets. Each bucket holds
|
|
// a few entries.
|
|
TotalBuckets int
|
|
// EmptyBuckets is the number of buckets that hold no entries.
|
|
EmptyBuckets int
|
|
// Capacity is the Map/MapOf capacity, i.e. the total number of
|
|
// entries that all buckets can physically hold. This number
|
|
// does not consider the load factor.
|
|
Capacity int
|
|
// Size is the exact number of entries stored in the map.
|
|
Size int
|
|
// Counter is the number of entries stored in the map according
|
|
// to the internal atomic counter. In case of concurrent map
|
|
// modifications this number may be different from Size.
|
|
Counter int
|
|
// CounterLen is the number of internal atomic counter stripes.
|
|
// This number may grow with the map capacity to improve
|
|
// multithreaded scalability.
|
|
CounterLen int
|
|
// MinEntries is the minimum number of entries per a chain of
|
|
// buckets, i.e. a root bucket and its chained buckets.
|
|
MinEntries int
|
|
// MinEntries is the maximum number of entries per a chain of
|
|
// buckets, i.e. a root bucket and its chained buckets.
|
|
MaxEntries int
|
|
// TotalGrowths is the number of times the hash table grew.
|
|
TotalGrowths int64
|
|
// TotalGrowths is the number of times the hash table shrinked.
|
|
TotalShrinks int64
|
|
}
|
|
|
|
// ToString returns string representation of map stats.
|
|
func (s *MapStats) ToString() string {
|
|
var sb strings.Builder
|
|
sb.WriteString("MapStats{\n")
|
|
sb.WriteString(fmt.Sprintf("RootBuckets: %d\n", s.RootBuckets))
|
|
sb.WriteString(fmt.Sprintf("TotalBuckets: %d\n", s.TotalBuckets))
|
|
sb.WriteString(fmt.Sprintf("EmptyBuckets: %d\n", s.EmptyBuckets))
|
|
sb.WriteString(fmt.Sprintf("Capacity: %d\n", s.Capacity))
|
|
sb.WriteString(fmt.Sprintf("Size: %d\n", s.Size))
|
|
sb.WriteString(fmt.Sprintf("Counter: %d\n", s.Counter))
|
|
sb.WriteString(fmt.Sprintf("CounterLen: %d\n", s.CounterLen))
|
|
sb.WriteString(fmt.Sprintf("MinEntries: %d\n", s.MinEntries))
|
|
sb.WriteString(fmt.Sprintf("MaxEntries: %d\n", s.MaxEntries))
|
|
sb.WriteString(fmt.Sprintf("TotalGrowths: %d\n", s.TotalGrowths))
|
|
sb.WriteString(fmt.Sprintf("TotalShrinks: %d\n", s.TotalShrinks))
|
|
sb.WriteString("}\n")
|
|
return sb.String()
|
|
}
|
|
|
|
// Stats returns statistics for the Map. Just like other map
|
|
// methods, this one is thread-safe. Yet it's an O(N) operation,
|
|
// so it should be used only for diagnostics or debugging purposes.
|
|
func (m *Map) Stats() MapStats {
|
|
stats := MapStats{
|
|
TotalGrowths: atomic.LoadInt64(&m.totalGrowths),
|
|
TotalShrinks: atomic.LoadInt64(&m.totalShrinks),
|
|
MinEntries: math.MaxInt32,
|
|
}
|
|
table := (*mapTable)(atomic.LoadPointer(&m.table))
|
|
stats.RootBuckets = len(table.buckets)
|
|
stats.Counter = int(table.sumSize())
|
|
stats.CounterLen = len(table.size)
|
|
for i := range table.buckets {
|
|
nentries := 0
|
|
b := &table.buckets[i]
|
|
stats.TotalBuckets++
|
|
for {
|
|
nentriesLocal := 0
|
|
stats.Capacity += entriesPerMapBucket
|
|
for i := 0; i < entriesPerMapBucket; i++ {
|
|
if atomic.LoadPointer(&b.keys[i]) != nil {
|
|
stats.Size++
|
|
nentriesLocal++
|
|
}
|
|
}
|
|
nentries += nentriesLocal
|
|
if nentriesLocal == 0 {
|
|
stats.EmptyBuckets++
|
|
}
|
|
if b.next == nil {
|
|
break
|
|
}
|
|
b = (*bucketPadded)(atomic.LoadPointer(&b.next))
|
|
stats.TotalBuckets++
|
|
}
|
|
if nentries < stats.MinEntries {
|
|
stats.MinEntries = nentries
|
|
}
|
|
if nentries > stats.MaxEntries {
|
|
stats.MaxEntries = nentries
|
|
}
|
|
}
|
|
return stats
|
|
}
|