mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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d52fd73f18
This should smooth CPU and RAM usage spikes related to these periodic tasks, by reducing the probability that multiple concurrent periodic tasks are performed at the same time.
419 lines
9.9 KiB
Go
419 lines
9.9 KiB
Go
package blockcache
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import (
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"container/heap"
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"flag"
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"sync"
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"sync/atomic"
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"time"
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"unsafe"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/timeutil"
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"github.com/cespare/xxhash/v2"
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)
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var missesBeforeCaching = flag.Int("blockcache.missesBeforeCaching", 2, "The number of cache misses before putting the block into cache. "+
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"Higher values may reduce indexdb/dataBlocks cache size at the cost of higher CPU and disk read usage")
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// Cache caches Block entries.
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//
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// Call NewCache() for creating new Cache.
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type Cache struct {
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shards []*cache
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cleanerMustStopCh chan struct{}
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cleanerStoppedCh chan struct{}
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}
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// NewCache creates new cache.
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//
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// Cache size in bytes is limited by the value returned by getMaxSizeBytes() callback.
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// Call MustStop() in order to free up resources occupied by Cache.
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func NewCache(getMaxSizeBytes func() int) *Cache {
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cpusCount := cgroup.AvailableCPUs()
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shardsCount := cgroup.AvailableCPUs()
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// Increase the number of shards with the increased number of available CPU cores.
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// This should reduce contention on per-shard mutexes.
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multiplier := cpusCount
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if multiplier > 16 {
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multiplier = 16
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}
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shardsCount *= multiplier
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shards := make([]*cache, shardsCount)
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getMaxShardBytes := func() int {
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n := getMaxSizeBytes()
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return n / shardsCount
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}
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for i := range shards {
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shards[i] = newCache(getMaxShardBytes)
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}
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c := &Cache{
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shards: shards,
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cleanerMustStopCh: make(chan struct{}),
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cleanerStoppedCh: make(chan struct{}),
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}
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go c.cleaner()
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return c
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}
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// MustStop frees up resources occupied by c.
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func (c *Cache) MustStop() {
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close(c.cleanerMustStopCh)
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<-c.cleanerStoppedCh
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}
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// RemoveBlocksForPart removes all the blocks for the given part from the cache.
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func (c *Cache) RemoveBlocksForPart(p interface{}) {
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for _, shard := range c.shards {
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shard.RemoveBlocksForPart(p)
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}
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}
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// GetBlock returns a block for the given key k from c.
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func (c *Cache) GetBlock(k Key) Block {
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idx := uint64(0)
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if len(c.shards) > 1 {
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h := k.hashUint64()
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idx = h % uint64(len(c.shards))
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}
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shard := c.shards[idx]
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return shard.GetBlock(k)
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}
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// PutBlock puts the given block b under the given key k into c.
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func (c *Cache) PutBlock(k Key, b Block) {
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idx := uint64(0)
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if len(c.shards) > 1 {
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h := k.hashUint64()
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idx = h % uint64(len(c.shards))
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}
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shard := c.shards[idx]
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shard.PutBlock(k, b)
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}
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// Len returns the number of blocks in the cache c.
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func (c *Cache) Len() int {
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n := 0
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for _, shard := range c.shards {
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n += shard.Len()
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}
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return n
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}
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// SizeBytes returns an approximate size in bytes of all the blocks stored in the cache c.
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func (c *Cache) SizeBytes() int {
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n := 0
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for _, shard := range c.shards {
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n += shard.SizeBytes()
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}
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return n
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}
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// SizeMaxBytes returns the max allowed size in bytes for c.
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func (c *Cache) SizeMaxBytes() int {
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n := 0
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for _, shard := range c.shards {
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n += shard.SizeMaxBytes()
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}
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return n
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}
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// Requests returns the number of requests served by c.
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func (c *Cache) Requests() uint64 {
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n := uint64(0)
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for _, shard := range c.shards {
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n += shard.Requests()
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}
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return n
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}
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// Misses returns the number of cache misses for c.
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func (c *Cache) Misses() uint64 {
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n := uint64(0)
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for _, shard := range c.shards {
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n += shard.Misses()
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}
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return n
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}
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func (c *Cache) cleaner() {
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d := timeutil.AddJitterToDuration(time.Minute)
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ticker := time.NewTicker(d)
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defer ticker.Stop()
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d = timeutil.AddJitterToDuration(time.Minute * 3)
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perKeyMissesTicker := time.NewTicker(d)
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defer perKeyMissesTicker.Stop()
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for {
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select {
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case <-c.cleanerMustStopCh:
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close(c.cleanerStoppedCh)
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return
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case <-ticker.C:
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c.cleanByTimeout()
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case <-perKeyMissesTicker.C:
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c.cleanPerKeyMisses()
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}
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}
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}
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func (c *Cache) cleanByTimeout() {
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for _, shard := range c.shards {
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shard.cleanByTimeout()
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}
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}
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func (c *Cache) cleanPerKeyMisses() {
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for _, shard := range c.shards {
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shard.cleanPerKeyMisses()
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}
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}
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type cache struct {
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// Atomically updated fields must go first in the struct, so they are properly
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// aligned to 8 bytes on 32-bit architectures.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212
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requests uint64
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misses uint64
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// sizeBytes contains an approximate size for all the blocks stored in the cache.
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sizeBytes int64
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// getMaxSizeBytes() is a callback, which returns the maximum allowed cache size in bytes.
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getMaxSizeBytes func() int
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// mu protects all the fields below.
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mu sync.Mutex
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// m contains cached blocks keyed by Key.Part and then by Key.Offset
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m map[interface{}]map[uint64]*cacheEntry
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// perKeyMisses contains per-block cache misses.
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//
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// Blocks with up to *missesBeforeCaching cache misses aren't stored in the cache in order to prevent from eviction for frequently accessed items.
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perKeyMisses map[Key]int
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// The heap for removing the least recently used entries from m.
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lah lastAccessHeap
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}
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// Key represents a key, which uniquely identifies the Block.
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type Key struct {
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// Part must contain a pointer to part structure where the block belongs to.
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Part interface{}
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// Offset is the offset of the block in the part.
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Offset uint64
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}
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func (k *Key) hashUint64() uint64 {
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buf := (*[unsafe.Sizeof(*k)]byte)(unsafe.Pointer(k))
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return xxhash.Sum64(buf[:])
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}
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// Block is an item, which may be cached in the Cache.
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type Block interface {
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// SizeBytes must return the approximate size of the given block in bytes
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SizeBytes() int
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}
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type cacheEntry struct {
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// The timestamp in seconds for the last access to the given entry.
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lastAccessTime uint64
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// heapIdx is the index for the entry in lastAccessHeap.
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heapIdx int
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// k contains the associated key for the given block.
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k Key
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// b contains the cached block.
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b Block
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}
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func newCache(getMaxSizeBytes func() int) *cache {
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var c cache
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c.getMaxSizeBytes = getMaxSizeBytes
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c.m = make(map[interface{}]map[uint64]*cacheEntry)
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c.perKeyMisses = make(map[Key]int)
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return &c
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}
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func (c *cache) RemoveBlocksForPart(p interface{}) {
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c.mu.Lock()
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defer c.mu.Unlock()
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sizeBytes := 0
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for _, e := range c.m[p] {
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sizeBytes += e.b.SizeBytes()
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heap.Remove(&c.lah, e.heapIdx)
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// do not delete the entry from c.perKeyMisses, since it is removed by cache.cleaner later.
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}
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c.updateSizeBytes(-sizeBytes)
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delete(c.m, p)
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}
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func (c *cache) updateSizeBytes(n int) {
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atomic.AddInt64(&c.sizeBytes, int64(n))
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}
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func (c *cache) cleanPerKeyMisses() {
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c.mu.Lock()
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c.perKeyMisses = make(map[Key]int, len(c.perKeyMisses))
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c.mu.Unlock()
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}
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func (c *cache) cleanByTimeout() {
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// Delete items accessed more than three minutes ago.
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// This time should be enough for repeated queries.
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lastAccessTime := fasttime.UnixTimestamp() - 3*60
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c.mu.Lock()
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defer c.mu.Unlock()
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for len(c.lah) > 0 {
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if lastAccessTime < c.lah[0].lastAccessTime {
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break
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}
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c.removeLeastRecentlyAccessedItem()
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}
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}
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func (c *cache) GetBlock(k Key) Block {
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atomic.AddUint64(&c.requests, 1)
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var e *cacheEntry
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c.mu.Lock()
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defer c.mu.Unlock()
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pes := c.m[k.Part]
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if pes != nil {
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e = pes[k.Offset]
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if e != nil {
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// Fast path - the block already exists in the cache, so return it to the caller.
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currentTime := fasttime.UnixTimestamp()
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if e.lastAccessTime != currentTime {
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e.lastAccessTime = currentTime
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heap.Fix(&c.lah, e.heapIdx)
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}
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return e.b
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}
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}
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// Slow path - the entry is missing in the cache.
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c.perKeyMisses[k]++
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atomic.AddUint64(&c.misses, 1)
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return nil
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}
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func (c *cache) PutBlock(k Key, b Block) {
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c.mu.Lock()
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defer c.mu.Unlock()
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misses := c.perKeyMisses[k]
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if misses > 0 && misses <= *missesBeforeCaching {
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// If the entry wasn't accessed yet (e.g. misses == 0), then cache it,
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// since it has been just created without consulting the cache and will be accessed soon.
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//
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// Do not cache the entry if there were up to *missesBeforeCaching unsuccessful attempts to access it.
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// This may be one-time-wonders entry, which won't be accessed more, so do not cache it
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// in order to save memory for frequently accessed items.
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return
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}
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// Store b in the cache.
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pes := c.m[k.Part]
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if pes == nil {
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pes = make(map[uint64]*cacheEntry)
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c.m[k.Part] = pes
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} else if pes[k.Offset] != nil {
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// The block has been already registered by concurrent goroutine.
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return
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}
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e := &cacheEntry{
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lastAccessTime: fasttime.UnixTimestamp(),
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k: k,
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b: b,
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}
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heap.Push(&c.lah, e)
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pes[k.Offset] = e
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c.updateSizeBytes(e.b.SizeBytes())
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maxSizeBytes := c.getMaxSizeBytes()
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for c.SizeBytes() > maxSizeBytes && len(c.lah) > 0 {
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c.removeLeastRecentlyAccessedItem()
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}
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}
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func (c *cache) removeLeastRecentlyAccessedItem() {
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e := c.lah[0]
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c.updateSizeBytes(-e.b.SizeBytes())
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p := e.k.Part
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pes := c.m[p]
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delete(pes, e.k.Offset)
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if len(pes) == 0 {
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// Remove reference to p from c.m in order to free up memory occupied by p.
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delete(c.m, p)
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}
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heap.Pop(&c.lah)
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}
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func (c *cache) Len() int {
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c.mu.Lock()
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defer c.mu.Unlock()
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n := 0
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for _, m := range c.m {
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n += len(m)
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}
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return n
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}
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func (c *cache) SizeBytes() int {
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return int(atomic.LoadInt64(&c.sizeBytes))
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}
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func (c *cache) SizeMaxBytes() int {
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return c.getMaxSizeBytes()
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}
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func (c *cache) Requests() uint64 {
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return atomic.LoadUint64(&c.requests)
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}
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func (c *cache) Misses() uint64 {
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return atomic.LoadUint64(&c.misses)
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}
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// lastAccessHeap implements heap.Interface
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type lastAccessHeap []*cacheEntry
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func (lah *lastAccessHeap) Len() int {
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return len(*lah)
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}
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func (lah *lastAccessHeap) Swap(i, j int) {
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h := *lah
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a := h[i]
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b := h[j]
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a.heapIdx = j
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b.heapIdx = i
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h[i] = b
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h[j] = a
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}
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func (lah *lastAccessHeap) Less(i, j int) bool {
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h := *lah
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return h[i].lastAccessTime < h[j].lastAccessTime
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}
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func (lah *lastAccessHeap) Push(x interface{}) {
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e := x.(*cacheEntry)
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h := *lah
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e.heapIdx = len(h)
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*lah = append(h, e)
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}
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func (lah *lastAccessHeap) Pop() interface{} {
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h := *lah
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e := h[len(h)-1]
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// Remove the reference to deleted entry, so Go GC could free up memory occupied by the deleted entry.
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h[len(h)-1] = nil
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*lah = h[:len(h)-1]
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return e
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}
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