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e9eda7e7c8
* cache: add sharded cache implementation Add Cache impl and a few tests. This cache is 256-way sharded, mainly so each shard has it's own lock. The main cache structure is a readonly jump plane into the right shard. This should remove the single lock contention on the main lock and provide more concurrent throughput - Obviously this hasn't been tested or measured. The key into the cache was made a uint32 (hash.fnv) and the hashing op is not using strings.ToLower anymore remove any GC in that code path. * here too * Minimum shard size * typos * blurp * small cleanups no defer * typo * Add freq based on Johns idea * cherry-pick conflict resolv * typo * update from early code review from john * add prefetch to the cache * mw/cache: add prefetch * remove println * remove comment * Fix tests * Test prefetch in setup * Add start of cache * try add diff cache options * Add hacky testcase * not needed * allow the use of a percentage for prefetch If the TTL falls below xx% do a prefetch, if the record was popular. Some other fixes and correctly prefetch only popular records.
37 lines
723 B
Go
37 lines
723 B
Go
package freq
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import (
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"testing"
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"time"
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)
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func TestFreqUpdate(t *testing.T) {
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now := time.Now().UTC()
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f := New(now)
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window := 1 * time.Minute
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f.Update(window, time.Now().UTC())
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f.Update(window, time.Now().UTC())
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f.Update(window, time.Now().UTC())
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hitsCheck(t, f, 3)
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f.Reset(now, 0)
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history := time.Now().UTC().Add(-3 * time.Minute)
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f.Update(window, history)
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hitsCheck(t, f, 1)
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}
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func TestReset(t *testing.T) {
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f := New(time.Now().UTC())
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f.Update(1*time.Minute, time.Now().UTC())
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hitsCheck(t, f, 1)
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f.Reset(time.Now().UTC(), 0)
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hitsCheck(t, f, 0)
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}
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func hitsCheck(t *testing.T, f *Freq, expected int) {
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if x := f.Hits(); x != expected {
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t.Fatalf("Expected hits to be %d, got %d", expected, x)
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}
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}
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