2018-04-04 03:46:07 +00:00
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// Package cache provides caching features for data from a Consul server.
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//
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// While this is similar in some ways to the "agent/ae" package, a key
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// difference is that with anti-entropy, the agent is the authoritative
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// source so it resolves differences the server may have. With caching (this
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// package), the server is the authoritative source and we do our best to
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// balance performance and correctness, depending on the type of data being
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// requested.
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//
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// Currently, the cache package supports only continuous, blocking query
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// caching. This means that the cache update is edge-triggered by Consul
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// server blocking queries.
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package cache
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import (
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"fmt"
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"sync"
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2018-04-11 09:18:24 +00:00
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"sync/atomic"
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2018-04-04 03:46:07 +00:00
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"time"
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2018-04-17 23:03:13 +00:00
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"github.com/armon/go-metrics"
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2018-04-04 03:46:07 +00:00
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)
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//go:generate mockery -all -inpkg
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// Cache is a agent-local cache of Consul data.
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type Cache struct {
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2018-04-11 09:18:24 +00:00
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// Keeps track of the cache hits and misses in total. This is used by
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// tests currently to verify cache behavior and is not meant for general
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// analytics; for that, go-metrics emitted values are better.
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hits, misses uint64
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2018-04-10 15:05:34 +00:00
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// types stores the list of data types that the cache knows how to service.
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// These can be dynamically registered with RegisterType.
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2018-04-04 03:46:07 +00:00
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typesLock sync.RWMutex
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types map[string]typeEntry
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2018-04-10 15:05:34 +00:00
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// entries contains the actual cache data.
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//
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// NOTE(mitchellh): The entry map key is currently a string in the format
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// of "<DC>/<ACL token>/<Request key>" in order to properly partition
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// requests to different datacenters and ACL tokens. This format has some
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// big drawbacks: we can't evict by datacenter, ACL token, etc. For an
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// initial implementaiton this works and the tests are agnostic to the
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// internal storage format so changing this should be possible safely.
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entriesLock sync.RWMutex
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entries map[string]cacheEntry
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2018-04-04 03:46:07 +00:00
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}
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2018-04-08 13:30:14 +00:00
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// cacheEntry stores a single cache entry.
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2018-04-04 03:46:07 +00:00
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type cacheEntry struct {
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// Fields pertaining to the actual value
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Value interface{}
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Error error
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Index uint64
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// Metadata that is used for internal accounting
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Valid bool
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Fetching bool
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Waiter chan struct{}
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}
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// typeEntry is a single type that is registered with a Cache.
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type typeEntry struct {
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Type Type
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Opts *RegisterOptions
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}
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2018-04-08 13:30:14 +00:00
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// Options are options for the Cache.
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type Options struct {
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// Nothing currently, reserved.
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}
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2018-04-04 03:46:07 +00:00
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// New creates a new cache with the given RPC client and reasonable defaults.
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// Further settings can be tweaked on the returned value.
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2018-04-08 13:30:14 +00:00
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func New(*Options) *Cache {
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2018-04-04 03:46:07 +00:00
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return &Cache{
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2018-04-08 13:30:14 +00:00
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entries: make(map[string]cacheEntry),
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types: make(map[string]typeEntry),
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2018-04-04 03:46:07 +00:00
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}
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}
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// RegisterOptions are options that can be associated with a type being
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// registered for the cache. This changes the behavior of the cache for
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// this type.
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type RegisterOptions struct {
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// Refresh configures whether the data is actively refreshed or if
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// the data is only refreshed on an explicit Get. The default (false)
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// is to only request data on explicit Get.
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Refresh bool
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// RefreshTimer is the time between attempting to refresh data.
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// If this is zero, then data is refreshed immediately when a fetch
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// is returned.
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//
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// RefreshTimeout determines the maximum query time for a refresh
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// operation. This is specified as part of the query options and is
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// expected to be implemented by the Type itself.
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//
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// Using these values, various "refresh" mechanisms can be implemented:
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//
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// * With a high timer duration and a low timeout, a timer-based
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// refresh can be set that minimizes load on the Consul servers.
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//
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// * With a low timer and high timeout duration, a blocking-query-based
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// refresh can be set so that changes in server data are recognized
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// within the cache very quickly.
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//
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RefreshTimer time.Duration
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RefreshTimeout time.Duration
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}
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// RegisterType registers a cacheable type.
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2018-04-17 23:03:13 +00:00
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//
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// This makes the type available for Get but does not automatically perform
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// any prefetching. In order to populate the cache, Get must be called.
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2018-04-04 03:46:07 +00:00
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func (c *Cache) RegisterType(n string, typ Type, opts *RegisterOptions) {
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c.typesLock.Lock()
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defer c.typesLock.Unlock()
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c.types[n] = typeEntry{Type: typ, Opts: opts}
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}
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// Get loads the data for the given type and request. If data satisfying the
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// minimum index is present in the cache, it is returned immediately. Otherwise,
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// this will block until the data is available or the request timeout is
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// reached.
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//
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// Multiple Get calls for the same Request (matching CacheKey value) will
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// block on a single network request.
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2018-04-17 23:03:13 +00:00
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//
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// The timeout specified by the Request will be the timeout on the cache
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// Get, and does not correspond to the timeout of any background data
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// fetching. If the timeout is reached before data satisfying the minimum
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// index is retrieved, the last known value (maybe nil) is returned. No
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// error is returned on timeout. This matches the behavior of Consul blocking
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// queries.
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2018-04-04 03:46:07 +00:00
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func (c *Cache) Get(t string, r Request) (interface{}, error) {
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2018-04-08 14:08:34 +00:00
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info := r.CacheInfo()
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if info.Key == "" {
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2018-04-17 23:03:13 +00:00
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metrics.IncrCounter([]string{"consul", "cache", "bypass"}, 1)
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2018-04-08 13:30:14 +00:00
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// If no key is specified, then we do not cache this request.
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// Pass directly through to the backend.
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return c.fetchDirect(t, r)
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}
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2018-04-04 03:46:07 +00:00
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2018-04-10 15:05:34 +00:00
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// Get the actual key for our entry
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key := c.entryKey(&info)
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2018-04-11 09:18:24 +00:00
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// First time through
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first := true
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2018-04-16 10:06:08 +00:00
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// timeoutCh for watching our tmeout
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var timeoutCh <-chan time.Time
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2018-04-04 03:46:07 +00:00
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RETRY_GET:
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// Get the current value
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c.entriesLock.RLock()
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2018-04-10 15:05:34 +00:00
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entry, ok := c.entries[key]
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2018-04-04 03:46:07 +00:00
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c.entriesLock.RUnlock()
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// If we have a current value and the index is greater than the
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// currently stored index then we return that right away. If the
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// index is zero and we have something in the cache we accept whatever
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// we have.
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2018-04-08 13:30:14 +00:00
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if ok && entry.Valid {
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2018-04-08 14:08:34 +00:00
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if info.MinIndex == 0 || info.MinIndex < entry.Index {
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2018-04-11 09:18:24 +00:00
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if first {
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2018-04-17 23:03:13 +00:00
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metrics.IncrCounter([]string{"consul", "cache", t, "hit"}, 1)
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2018-04-11 09:18:24 +00:00
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atomic.AddUint64(&c.hits, 1)
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}
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2018-04-17 23:07:47 +00:00
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return entry.Value, entry.Error
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2018-04-08 13:30:14 +00:00
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}
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2018-04-04 03:46:07 +00:00
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}
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2018-04-11 09:18:24 +00:00
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if first {
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// Record the miss if its our first time through
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atomic.AddUint64(&c.misses, 1)
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2018-04-17 23:03:13 +00:00
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// We increment two different counters for cache misses depending on
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// whether we're missing because we didn't have the data at all,
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// or if we're missing because we're blocking on a set index.
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if info.MinIndex == 0 {
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metrics.IncrCounter([]string{"consul", "cache", t, "miss_new"}, 1)
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} else {
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metrics.IncrCounter([]string{"consul", "cache", t, "miss_block"}, 1)
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}
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2018-04-11 09:18:24 +00:00
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}
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// No longer our first time through
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first = false
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2018-04-16 10:06:08 +00:00
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// Set our timeout channel if we must
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if info.Timeout > 0 && timeoutCh == nil {
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timeoutCh = time.After(info.Timeout)
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}
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2018-04-04 03:46:07 +00:00
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// At this point, we know we either don't have a value at all or the
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// value we have is too old. We need to wait for new data.
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2018-04-16 10:06:08 +00:00
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waiterCh, err := c.fetch(t, key, r)
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2018-04-04 03:46:07 +00:00
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if err != nil {
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return nil, err
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}
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2018-04-16 10:06:08 +00:00
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select {
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case <-waiterCh:
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// Our fetch returned, retry the get from the cache
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goto RETRY_GET
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case <-timeoutCh:
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// Timeout on the cache read, just return whatever we have.
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return entry.Value, nil
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}
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2018-04-04 03:46:07 +00:00
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}
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2018-04-10 15:05:34 +00:00
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// entryKey returns the key for the entry in the cache. See the note
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// about the entry key format in the structure docs for Cache.
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func (c *Cache) entryKey(r *RequestInfo) string {
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return fmt.Sprintf("%s/%s/%s", r.Datacenter, r.Token, r.Key)
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}
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2018-04-17 23:03:13 +00:00
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// fetch triggers a new background fetch for the given Request. If a
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// background fetch is already running for a matching Request, the waiter
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// channel for that request is returned. The effect of this is that there
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// is only ever one blocking query for any matching requests.
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2018-04-10 15:05:34 +00:00
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func (c *Cache) fetch(t, key string, r Request) (<-chan struct{}, error) {
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2018-04-04 03:46:07 +00:00
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// Get the type that we're fetching
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c.typesLock.RLock()
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tEntry, ok := c.types[t]
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c.typesLock.RUnlock()
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if !ok {
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return nil, fmt.Errorf("unknown type in cache: %s", t)
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}
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2018-04-17 23:03:13 +00:00
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// We acquire a write lock because we may have to set Fetching to true.
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2018-04-04 03:46:07 +00:00
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c.entriesLock.Lock()
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defer c.entriesLock.Unlock()
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2018-04-10 15:05:34 +00:00
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entry, ok := c.entries[key]
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2018-04-04 03:46:07 +00:00
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// If we already have an entry and it is actively fetching, then return
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// the currently active waiter.
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if ok && entry.Fetching {
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return entry.Waiter, nil
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}
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// If we don't have an entry, then create it. The entry must be marked
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// as invalid so that it isn't returned as a valid value for a zero index.
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if !ok {
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entry = cacheEntry{Valid: false, Waiter: make(chan struct{})}
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}
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// Set that we're fetching to true, which makes it so that future
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// identical calls to fetch will return the same waiter rather than
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// perform multiple fetches.
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entry.Fetching = true
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2018-04-10 15:05:34 +00:00
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c.entries[key] = entry
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2018-04-17 23:03:13 +00:00
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metrics.SetGauge([]string{"consul", "cache", "entries_count"}, float32(len(c.entries)))
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2018-04-04 03:46:07 +00:00
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// The actual Fetch must be performed in a goroutine.
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go func() {
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// Start building the new entry by blocking on the fetch.
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result, err := tEntry.Type.Fetch(FetchOptions{
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MinIndex: entry.Index,
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}, r)
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2018-04-17 23:03:13 +00:00
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if err == nil {
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metrics.IncrCounter([]string{"consul", "cache", "fetch_success"}, 1)
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metrics.IncrCounter([]string{"consul", "cache", t, "fetch_success"}, 1)
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} else {
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metrics.IncrCounter([]string{"consul", "cache", "fetch_error"}, 1)
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metrics.IncrCounter([]string{"consul", "cache", t, "fetch_error"}, 1)
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}
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2018-04-16 10:06:08 +00:00
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var newEntry cacheEntry
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if result.Value == nil {
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// If no value was set, then we do not change the prior entry.
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// Instead, we just update the waiter to be new so that another
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// Get will wait on the correct value.
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newEntry = entry
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newEntry.Fetching = false
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} else {
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// A new value was given, so we create a brand new entry.
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newEntry.Value = result.Value
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newEntry.Index = result.Index
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newEntry.Error = err
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// This is a valid entry with a result
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newEntry.Valid = true
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}
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2018-04-04 03:46:07 +00:00
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// Create a new waiter that will be used for the next fetch.
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newEntry.Waiter = make(chan struct{})
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// Insert
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c.entriesLock.Lock()
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2018-04-10 15:05:34 +00:00
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c.entries[key] = newEntry
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2018-04-04 03:46:07 +00:00
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c.entriesLock.Unlock()
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// Trigger the waiter
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close(entry.Waiter)
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// If refresh is enabled, run the refresh in due time. The refresh
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// below might block, but saves us from spawning another goroutine.
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if tEntry.Opts != nil && tEntry.Opts.Refresh {
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2018-04-10 15:05:34 +00:00
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c.refresh(tEntry.Opts, t, key, r)
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2018-04-04 03:46:07 +00:00
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}
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}()
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return entry.Waiter, nil
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}
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2018-04-17 23:03:13 +00:00
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// fetchDirect fetches the given request with no caching. Because this
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// bypasses the caching entirely, multiple matching requests will result
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// in multiple actual RPC calls (unlike fetch).
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2018-04-08 13:30:14 +00:00
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func (c *Cache) fetchDirect(t string, r Request) (interface{}, error) {
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// Get the type that we're fetching
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c.typesLock.RLock()
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tEntry, ok := c.types[t]
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c.typesLock.RUnlock()
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if !ok {
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return nil, fmt.Errorf("unknown type in cache: %s", t)
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}
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// Fetch it with the min index specified directly by the request.
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result, err := tEntry.Type.Fetch(FetchOptions{
|
2018-04-08 14:08:34 +00:00
|
|
|
MinIndex: r.CacheInfo().MinIndex,
|
2018-04-08 13:30:14 +00:00
|
|
|
}, r)
|
|
|
|
if err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
|
|
|
|
// Return the result and ignore the rest
|
|
|
|
return result.Value, nil
|
|
|
|
}
|
|
|
|
|
2018-04-17 23:03:13 +00:00
|
|
|
// refresh triggers a fetch for a specific Request according to the
|
|
|
|
// registration options.
|
2018-04-10 15:05:34 +00:00
|
|
|
func (c *Cache) refresh(opts *RegisterOptions, t string, key string, r Request) {
|
2018-04-04 03:46:07 +00:00
|
|
|
// Sanity-check, we should not schedule anything that has refresh disabled
|
|
|
|
if !opts.Refresh {
|
|
|
|
return
|
|
|
|
}
|
|
|
|
|
|
|
|
// If we have a timer, wait for it
|
|
|
|
if opts.RefreshTimer > 0 {
|
|
|
|
time.Sleep(opts.RefreshTimer)
|
|
|
|
}
|
|
|
|
|
|
|
|
// Trigger
|
2018-04-10 15:05:34 +00:00
|
|
|
c.fetch(t, key, r)
|
2018-04-04 03:46:07 +00:00
|
|
|
}
|
2018-04-11 09:18:24 +00:00
|
|
|
|
|
|
|
// Returns the number of cache hits. Safe to call concurrently.
|
|
|
|
func (c *Cache) Hits() uint64 {
|
|
|
|
return atomic.LoadUint64(&c.hits)
|
|
|
|
}
|