Documentation
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Index ¶
- func PartialPrintString(noneEmptyPos []bool, f Features, shared bool) string
- func RunTestMain(m *testing.M) int
- type BenchResults
- type Features
- type Histogram
- type HistogramBucket
- type HistogramOptions
- type Stats
- func (stats *Stats) Add(d time.Duration)
- func (stats *Stats) BenchString() string
- func (stats *Stats) Clear()
- func (stats *Stats) GetBenchmarkResults() BenchResults
- func (stats *Stats) Print(w io.Writer)
- func (stats *Stats) SetBenchmarkResult(mode string, features Features, o int, allocdBytes, allocs int64, ...)
- func (stats *Stats) SortLatency()
- func (stats *Stats) String() string
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func PartialPrintString ¶
PartialPrintString can print certain features with different format.
func RunTestMain ¶
RunTestMain runs the tests with enabling injection of benchmark stats. It returns an exit code to pass to os.Exit.
Types ¶
type BenchResults ¶
type BenchResults struct {
RunMode string
Features Features
Latency []percentLatency
Operations int
NsPerOp int64
AllocedBytesPerOp int64
AllocsPerOp int64
}
BenchResults records features and result of a benchmark.
type Features ¶
type Features struct {
NetworkMode string
EnableTrace bool
Latency time.Duration
Kbps int
Mtu int
MaxConcurrentCalls int
ReqSizeBytes int
RespSizeBytes int
EnableCompressor bool
EnableChannelz bool
}
Features contains most fields for a benchmark
func (Features) ConciseString ¶
ConciseString returns the concise textual output of the Features as string, skipping setting with default value.
type Histogram ¶
type Histogram struct {
// Count is the total number of values added to the histogram.
Count int64
// Sum is the sum of all the values added to the histogram.
Sum int64
// SumOfSquares is the sum of squares of all values.
SumOfSquares int64
// Min is the minimum of all the values added to the histogram.
Min int64
// Max is the maximum of all the values added to the histogram.
Max int64
// Buckets contains all the buckets of the histogram.
Buckets []HistogramBucket
// contains filtered or unexported fields
}
Histogram accumulates values in the form of a histogram with exponentially increased bucket sizes.
func NewHistogram ¶
func NewHistogram(opts HistogramOptions) *Histogram
NewHistogram returns a pointer to a new Histogram object that was created with the provided options.
func (*Histogram) Merge ¶
Merge takes another histogram h2, and merges its content into h. The two histograms must be created by equivalent HistogramOptions.
func (*Histogram) Opts ¶
func (h *Histogram) Opts() HistogramOptions
Opts returns a copy of the options used to create the Histogram.
func (*Histogram) PrintWithUnit ¶
PrintWithUnit writes textual output of the histogram values . Data in histogram is divided by a Unit before print.
type HistogramBucket ¶
type HistogramBucket struct {
// LowBound is the lower bound of the bucket.
LowBound float64
// Count is the number of values in the bucket.
Count int64
}
HistogramBucket represents one histogram bucket.
type HistogramOptions ¶
type HistogramOptions struct {
// NumBuckets is the number of buckets.
NumBuckets int
// GrowthFactor is the growth factor of the buckets. A value of 0.1
// indicates that bucket N+1 will be 10% larger than bucket N.
GrowthFactor float64
// BaseBucketSize is the size of the first bucket.
BaseBucketSize float64
// MinValue is the lower bound of the first bucket.
MinValue int64
}
HistogramOptions contains the parameters that define the histogram's buckets. The first bucket of the created histogram (with index 0) contains [min, min+n) where n = BaseBucketSize, min = MinValue. Bucket i (i>=1) contains [min + n * m^(i-1), min + n * m^i), where m = 1+GrowthFactor. The type of the values is int64.
type Stats ¶
type Stats struct {
// contains filtered or unexported fields
}
Stats is a simple helper for gathering additional statistics like histogram during benchmarks. This is not thread safe.
func AddStats ¶
AddStats adds a new unnamed Stats instance to the current benchmark. You need to run benchmarks by calling RunTestMain() to inject the stats to the benchmark results. If numBuckets is not positive, the default value (16) will be used. Please note that this calls b.ResetTimer() since it may be blocked until the previous benchmark stats is printed out. So AddStats() should typically be called at the very beginning of each benchmark function.
func AddStatsWithName ¶
AddStatsWithName adds a new named Stats instance to the current benchmark. With this, you can add multiple stats in a single benchmark. You need to run benchmarks by calling RunTestMain() to inject the stats to the benchmark results. If numBuckets is not positive, the default value (16) will be used. Please note that this calls b.ResetTimer() since it may be blocked until the previous benchmark stats is printed out. So AddStatsWithName() should typically be called at the very beginning of each benchmark function.
func NewStats ¶
NewStats creates a new Stats instance. If numBuckets is not positive, the default value (16) will be used.
func (*Stats) BenchString ¶
BenchString output latency stats as the format as time + unit.
func (*Stats) GetBenchmarkResults ¶
func (stats *Stats) GetBenchmarkResults() BenchResults
GetBenchmarkResults returns the result of the benchmark including features and result.
Source Files