func (state *State) MeasureLatency(database databases.Database,
workload Workload, config Config, wg *sync.WaitGroup) {
defer wg.Done()
for state.Operations < config.Operations {
if config.CreatePercentage > 0 {
state.Operations++
state.Records++
key := workload.GenerateNewKey(state.Records)
value := workload.GenerateValue(key, config.IndexableFields, config.ValueSize)
t0 := time.Now()
database.Create(key, value)
t1 := time.Now()
state.Latency["Create"].AddSample(summstat.Sample(t1.Sub(t0)))
}
if config.ReadPercentage > 0 {
state.Operations++
key := workload.GenerateExistingKey(state.Records)
t0 := time.Now()
database.Read(key)
t1 := time.Now()
state.Latency["Read"].AddSample(summstat.Sample(t1.Sub(t0)))
}
if config.UpdatePercentage > 0 {
state.Operations++
key := workload.GenerateExistingKey(state.Records)
value := workload.GenerateValue(key, config.IndexableFields, config.ValueSize)
t0 := time.Now()
database.Update(key, value)
t1 := time.Now()
state.Latency["Update"].AddSample(summstat.Sample(t1.Sub(t0)))
}
if config.DeletePercentage > 0 {
state.Operations++
key := workload.GenerateKeyForRemoval()
t0 := time.Now()
database.Delete(key)
t1 := time.Now()
state.Latency["Delete"].AddSample(summstat.Sample(t1.Sub(t0)))
}
if config.QueryPercentage > 0 {
state.Operations++
fieldName, fieldValue, limit := workload.GenerateQuery(config.IndexableFields,
state.Records)
t0 := time.Now()
database.Query(fieldName, fieldValue, limit)
t1 := time.Now()
state.Latency["Query"].AddSample(summstat.Sample(t1.Sub(t0)))
}
time.Sleep(time.Second)
}
}
func main() {
// rand.Seed(int64(time.Now().Nanosecond()))
r := make([]*stats.Stats, 4)
for i := range r {
r[i] = stats.NewStats()
// r[i].CreateBins(100, 0, 200)
}
const n = 100000
for i := 0; i < n; i++ {
cs := []*character{
newCharacter(jemimaPaths),
newCharacter(peterPaths),
newCharacter(squirrelPaths),
newCharacter(jeremyPaths),
}
for i, c := range cs {
r[i].AddSample(stats.Sample(c.play()))
}
}
for i, s := range r {
fmt.Printf("%d. min %g max %g mean %.2g±%.2g median %g\n", i, s.Min(), s.Max(), s.Mean(), s.Stddev(), s.Median())
}
}