Custom Profiling
Comprehensive guide to building custom profiling solutions for Go applications. This guide covers custom profiler development, specialized profiling techniques, advanced instrumentation, and integration with existing profiling ecosystems.
Table of Contents
- Introduction
- Custom Profiler Architecture
- Profile Data Collection
- Sampling Strategies
- Data Processing
- Visualization
- Integration
- Performance Considerations
- Best Practices
Introduction
Custom profiling enables specialized performance analysis tailored to specific application needs. This guide provides comprehensive strategies for building custom profilers that capture unique performance characteristics and provide insights not available through standard profiling tools.
Custom Profiler Architecture
package main
import (
"context"
"fmt"
"runtime"
"sync"
"sync/atomic"
"time"
"unsafe"
)
// CustomProfiler provides a framework for building custom profilers
type CustomProfiler struct {
config ProfilerConfig
collectors map[string]ProfileCollector
samplers map[string]Sampler
processors map[string]ProfileProcessor
storage ProfileStorage
exporter ProfileExporter
scheduler *ProfileScheduler
aggregator *ProfileAggregator
filter *ProfileFilter
metrics *ProfilerMetrics
state *ProfilerState
mu sync.RWMutex
}
// ProfilerConfig contains profiler configuration
type ProfilerConfig struct {
Name string
Version string
EnabledCollectors []string
SamplingRate float64
MaxMemoryUsage int64
MaxCPUUsage float64
FlushInterval time.Duration
RetentionPeriod time.Duration
CompressionEnabled bool
EncryptionEnabled bool
MetricsEnabled bool
DebugMode bool
OutputFormat OutputFormat
OutputDestination string
BufferSize int
WorkerCount int
BatchSize int
}
// OutputFormat defines output formats
type OutputFormat int
const (
JSONFormat OutputFormat = iota
BinaryFormat
ProtobufFormat
FlameGraphFormat
PProfFormat
CustomFormat
)
// ProfileCollector collects specific types of profile data
type ProfileCollector interface {
Start(ctx context.Context) error
Stop() error
Collect() (*ProfileData, error)
GetType() CollectorType
GetConfig() CollectorConfig
GetMetrics() CollectorMetrics
IsRunning() bool
}
// CollectorType defines collector types
type CollectorType int
const (
CPUCollector CollectorType = iota
MemoryCollector
GoroutineCollector
BlockCollector
MutexCollector
NetworkCollector
DiskIOCollector
CustomCollector
TraceCollector
HeapCollector
AllocCollector
GCCollector
)
// CollectorConfig contains collector configuration
type CollectorConfig struct {
Enabled bool
SamplingRate float64
BufferSize int
FlushInterval time.Duration
Filters []CollectorFilter
Aggregation AggregationConfig
OutputOptions OutputOptions
}
// CollectorFilter filters collected data
type CollectorFilter struct {
Type FilterType
Pattern string
Include bool
Priority int
}
// FilterType defines filter types
type FilterType int
const (
FunctionFilter FilterType = iota
PackageFilter
FileFilter
GoroutineFilter
TagFilter
ValueFilter
RegexFilter
)
// AggregationConfig contains aggregation configuration
type AggregationConfig struct {
Enabled bool
Window time.Duration
Function AggregationFunction
GroupBy []string
Threshold float64
}
// AggregationFunction defines aggregation functions
type AggregationFunction int
const (
SumAggregation AggregationFunction = iota
AvgAggregation
MaxAggregation
MinAggregation
CountAggregation
P50Aggregation
P95Aggregation
P99Aggregation
)
// OutputOptions contains output options
type OutputOptions struct {
Format OutputFormat
Compression bool
Encryption bool
Destination string
Headers map[string]string
}
// CollectorMetrics contains collector metrics
type CollectorMetrics struct {
SamplesCollected int64
SamplesDropped int64
BytesCollected int64
CollectionTime time.Duration
ErrorCount int64
LastCollectionTime time.Time
CollectionRate float64
BufferUtilization float64
}
// ProfileData represents collected profile data
type ProfileData struct {
ID string
Type CollectorType
Timestamp time.Time
Duration time.Duration
Samples []*ProfileSample
Metadata ProfileMetadata
Statistics ProfileStatistics
Tags map[string]string
Annotations map[string]interface{}
Quality DataQuality
}
// ProfileSample represents a single profile sample
type ProfileSample struct {
ID string
Timestamp time.Time
Value int64
Weight float64
Stack []StackFrame
Labels map[string]string
Attributes map[string]interface{}
Context SampleContext
}
// StackFrame represents a stack frame
type StackFrame struct {
Function string
File string
Line int
Column int
Package string
Module string
PC uintptr
}
// SampleContext provides context for samples
type SampleContext struct {
GoroutineID int64
ThreadID int64
ProcessID int32
UserID string
SessionID string
RequestID string
TraceID string
SpanID string
Environment map[string]string
}
// ProfileMetadata contains profile metadata
type ProfileMetadata struct {
ProfilerVersion string
Runtime RuntimeInfo
Application ApplicationInfo
Environment EnvironmentInfo
BuildInfo BuildInfo
StartTime time.Time
EndTime time.Time
SampleCount int
SampleRate float64
}
// RuntimeInfo contains runtime information
type RuntimeInfo struct {
GoVersion string
GOOS string
GOARCH string
NumCPU int
NumGoroutine int
MemStats runtime.MemStats
GCStats runtime.GCStats
}
// ApplicationInfo contains application information
type ApplicationInfo struct {
Name string
Version string
Description string
Team string
Owner string
Repository string
Environment string
Deployment string
}
// EnvironmentInfo contains environment information
type EnvironmentInfo struct {
Hostname string
Platform string
Container string
Cluster string
Namespace string
Region string
Zone string
Instance string
Tags map[string]string
}
// BuildInfo contains build information
type BuildInfo struct {
Version string
Commit string
Branch string
Tag string
BuildTime time.Time
BuildHost string
BuildUser string
BuildFlags []string
}
// ProfileStatistics contains profile statistics
type ProfileStatistics struct {
TotalSamples int64
UniqueFunctions int
UniquePackages int
StackDepth StackDepthStats
SampleValues ValueStats
TimeCoverage float64
SpatialCoverage float64
}
// StackDepthStats contains stack depth statistics
type StackDepthStats struct {
Min int
Max int
Mean float64
Median float64
P95 float64
P99 float64
}
// ValueStats contains value statistics
type ValueStats struct {
Min int64
Max int64
Sum int64
Mean float64
StdDev float64
Histogram map[int64]int64
}
// DataQuality represents data quality metrics
type DataQuality struct {
Completeness float64
Accuracy float64
Consistency float64
Timeliness float64
Validity float64
Reliability float64
OverallScore float64
}
// Sampler controls sampling behavior
type Sampler interface {
ShouldSample(context SamplingContext) bool
GetRate() float64
GetType() SamplerType
UpdateRate(rate float64)
GetStatistics() SamplerStatistics
}
// SamplerType defines sampler types
type SamplerType int
const (
FixedRateSampler SamplerType = iota
AdaptiveSampler
ProbabilitySampler
ThresholdSampler
BurstSampler
SmartSampler
)
// SamplingContext provides context for sampling decisions
type SamplingContext struct {
Timestamp time.Time
GoroutineID int64
Function string
Package string
File string
Line int
Value int64
Tags map[string]string
SystemLoad SystemLoad
MemoryPressure float64
}
// SystemLoad represents system load information
type SystemLoad struct {
CPU float64
Memory float64
Disk float64
Network float64
}
// SamplerStatistics contains sampler statistics
type SamplerStatistics struct {
TotalSamples int64
AcceptedSamples int64
RejectedSamples int64
SamplingRate float64
LastSampleTime time.Time
AdaptationCount int64
}
// ProfileProcessor processes profile data
type ProfileProcessor interface {
Process(data *ProfileData) (*ProcessedData, error)
GetType() ProcessorType
GetConfig() ProcessorConfig
GetMetrics() ProcessorMetrics
}
// ProcessorType defines processor types
type ProcessorType int
const (
AggregationProcessor ProcessorType = iota
FilterProcessor
TransformProcessor
EnrichmentProcessor
CompressionProcessor
AnalysisProcessor
ValidationProcessor
)
// ProcessorConfig contains processor configuration
type ProcessorConfig struct {
Enabled bool
Priority int
Parallel bool
BufferSize int
Timeout time.Duration
RetryCount int
Parameters map[string]interface{}
}
// ProcessorMetrics contains processor metrics
type ProcessorMetrics struct {
ProcessedSamples int64
ProcessingTime time.Duration
ErrorCount int64
ThroughputRate float64
LastProcessTime time.Time
}
// ProcessedData represents processed profile data
type ProcessedData struct {
Original *ProfileData
Processed *ProfileData
Transform TransformInfo
Metadata ProcessingMetadata
Timestamp time.Time
}
// TransformInfo contains transformation information
type TransformInfo struct {
Type TransformType
Parameters map[string]interface{}
Applied []string
Skipped []string
Errors []TransformError
}
// TransformType defines transformation types
type TransformType int
const (
FilterTransform TransformType = iota
AggregateTransform
NormalizeTransform
EnrichTransform
CompressTransform
EncryptTransform
)
// TransformError represents transformation errors
type TransformError struct {
Type string
Message string
SampleID string
Timestamp time.Time
Recoverable bool
}
// ProcessingMetadata contains processing metadata
type ProcessingMetadata struct {
ProcessorChain []string
ProcessingTime time.Duration
MemoryUsage int64
CPUUsage float64
CacheHits int64
CacheMisses int64
}
// ProfileStorage manages profile data storage
type ProfileStorage interface {
Store(data *ProfileData) error
Retrieve(query StorageQuery) ([]*ProfileData, error)
Delete(criteria DeletionCriteria) error
Compact() error
GetStatistics() StorageStatistics
}
// StorageQuery represents storage queries
type StorageQuery struct {
TimeRange TimeRange
Types []CollectorType
Filters map[string]interface{}
Aggregation AggregationQuery
Limit int
Offset int
OrderBy []OrderBy
}
// TimeRange represents time ranges
type TimeRange struct {
Start time.Time
End time.Time
}
// AggregationQuery represents aggregation queries
type AggregationQuery struct {
Function AggregationFunction
GroupBy []string
Window time.Duration
Filters map[string]interface{}
}
// OrderBy represents ordering criteria
type OrderBy struct {
Field string
Direction SortDirection
}
// SortDirection defines sort directions
type SortDirection int
const (
Ascending SortDirection = iota
Descending
)
// DeletionCriteria represents deletion criteria
type DeletionCriteria struct {
OlderThan time.Time
Types []CollectorType
Filters map[string]interface{}
KeepLast int
}
// StorageStatistics contains storage statistics
type StorageStatistics struct {
TotalProfiles int64
TotalSize int64
OldestProfile time.Time
NewestProfile time.Time
CompressionRatio float64
ReadLatency time.Duration
WriteLatency time.Duration
ErrorRate float64
}
// ProfileExporter exports profile data
type ProfileExporter interface {
Export(data *ProfileData, format OutputFormat) error
GetSupportedFormats() []OutputFormat
GetConfig() ExporterConfig
GetMetrics() ExporterMetrics
}
// ExporterConfig contains exporter configuration
type ExporterConfig struct {
Enabled bool
Formats []OutputFormat
Destinations []ExportDestination
Compression bool
Encryption bool
BatchSize int
FlushInterval time.Duration
RetryPolicy RetryPolicy
}
// ExportDestination represents export destinations
type ExportDestination struct {
Type DestinationType
URL string
Headers map[string]string
Credentials map[string]string
Options map[string]interface{}
}
// DestinationType defines destination types
type DestinationType int
const (
FileDestination DestinationType = iota
HTTPDestination
GRPCDestination
KafkaDestination
S3Destination
GCSDestination
DatabaseDestination
)
// RetryPolicy defines retry behavior
type RetryPolicy struct {
Enabled bool
MaxRetries int
BackoffType BackoffType
InitialDelay time.Duration
MaxDelay time.Duration
Multiplier float64
}
// BackoffType defines backoff types
type BackoffType int
const (
FixedBackoff BackoffType = iota
LinearBackoff
ExponentialBackoff
JitteredBackoff
)
// ExporterMetrics contains exporter metrics
type ExporterMetrics struct {
ExportedProfiles int64
ExportedBytes int64
ExportTime time.Duration
ErrorCount int64
RetryCount int64
LastExportTime time.Time
}
// ProfileScheduler manages profiling scheduling
type ProfileScheduler struct {
config SchedulerConfig
jobs map[string]*ScheduledJob
executor *JobExecutor
metrics *SchedulerMetrics
mu sync.RWMutex
}
// SchedulerConfig contains scheduler configuration
type SchedulerConfig struct {
Enabled bool
DefaultInterval time.Duration
MaxConcurrentJobs int
JobTimeout time.Duration
RetryPolicy RetryPolicy
QueueSize int
WorkerCount int
}
// ScheduledJob represents a scheduled profiling job
type ScheduledJob struct {
ID string
Name string
Type JobType
Schedule Schedule
Config JobConfig
State JobState
LastRun *JobRun
NextRun time.Time
Statistics JobStatistics
CreatedAt time.Time
UpdatedAt time.Time
}
// JobType defines job types
type JobType int
const (
ContinuousJob JobType = iota
PeriodicJob
TriggeredJob
ConditionalJob
AdaptiveJob
)
// Schedule defines job schedules
type Schedule struct {
Type ScheduleType
Interval time.Duration
CronExpr string
Triggers []Trigger
Conditions []Condition
TimeZone string
}
// ScheduleType defines schedule types
type ScheduleType int
const (
IntervalSchedule ScheduleType = iota
CronSchedule
TriggerSchedule
ConditionalSchedule
AdaptiveSchedule
)
// Trigger defines job triggers
type Trigger struct {
Type TriggerType
Source string
Condition string
Threshold float64
Cooldown time.Duration
Enabled bool
}
// TriggerType defines trigger types
type TriggerType int
const (
MetricTrigger TriggerType = iota
EventTrigger
ThresholdTrigger
ManualTrigger
APItrigger
)
// Condition defines job conditions
type Condition struct {
Type ConditionType
Metric string
Operator ComparisonOperator
Value float64
Duration time.Duration
Enabled bool
}
// ConditionType defines condition types
type ConditionType int
const (
MetricCondition ConditionType = iota
SystemCondition
ResourceCondition
CustomCondition
)
// ComparisonOperator defines comparison operators
type ComparisonOperator int
const (
GreaterThan ComparisonOperator = iota
LessThan
Equal
NotEqual
GreaterThanOrEqual
LessThanOrEqual
)
// JobConfig contains job configuration
type JobConfig struct {
Collectors []CollectorConfig
Processors []ProcessorConfig
Exporters []ExporterConfig
Duration time.Duration
Priority JobPriority
Resources ResourceLimits
Retry RetryPolicy
}
// JobPriority defines job priority levels
type JobPriority int
const (
LowPriority JobPriority = iota
NormalPriority
HighPriority
CriticalPriority
)
// ResourceLimits defines resource limits
type ResourceLimits struct {
MaxMemory int64
MaxCPU float64
MaxDisk int64
MaxTime time.Duration
}
// JobState defines job states
type JobState int
const (
ScheduledState JobState = iota
RunningState
CompletedState
FailedState
CancelledState
PausedState
)
// JobRun represents a job execution
type JobRun struct {
ID string
JobID string
StartTime time.Time
EndTime *time.Time
Duration time.Duration
State JobRunState
Result *JobResult
Error *JobError
Metrics JobRunMetrics
Logs []JobLog
}
// JobRunState defines job run states
type JobRunState int
const (
StartingState JobRunState = iota
RunningState
FinishingState
SucceededState
FailedState
CancelledState
)
// JobResult contains job execution results
type JobResult struct {
Success bool
ProfileCount int
DataSize int64
Warnings []string
Metadata map[string]interface{}
}
// JobError contains job error information
type JobError struct {
Type ErrorType
Message string
Cause string
Recoverable bool
RetryCount int
Timestamp time.Time
}
// ErrorType defines error types
type ErrorType int
const (
ConfigurationError ErrorType = iota
ResourceError
NetworkError
StorageError
ProcessingError
TimeoutError
InternalError
)
// JobRunMetrics contains job run metrics
type JobRunMetrics struct {
CPUUsage float64
MemoryUsage int64
DiskUsage int64
NetworkUsage int64
SamplesCount int64
ErrorCount int64
}
// JobLog represents job logs
type JobLog struct {
Level LogLevel
Message string
Timestamp time.Time
Source string
Context map[string]interface{}
}
// LogLevel defines log levels
type LogLevel int
const (
DebugLevel LogLevel = iota
InfoLevel
WarnLevel
ErrorLevel
FatalLevel
)
// JobStatistics contains job statistics
type JobStatistics struct {
TotalRuns int64
SuccessfulRuns int64
FailedRuns int64
AverageRunTime time.Duration
LastSuccessTime time.Time
LastFailureTime time.Time
SuccessRate float64
}
// JobExecutor executes scheduled jobs
type JobExecutor struct {
config ExecutorConfig
workers []*Worker
queue chan *ScheduledJob
metrics *ExecutorMetrics
mu sync.RWMutex
}
// ExecutorConfig contains executor configuration
type ExecutorConfig struct {
WorkerCount int
QueueSize int
WorkerTimeout time.Duration
IdleTimeout time.Duration
GracefulShutdown time.Duration
}
// Worker represents a job worker
type Worker struct {
ID string
State WorkerState
CurrentJob *ScheduledJob
StartTime time.Time
Statistics WorkerStatistics
}
// WorkerState defines worker states
type WorkerState int
const (
IdleWorker WorkerState = iota
BusyWorker
StoppedWorker
ErrorWorker
)
// WorkerStatistics contains worker statistics
type WorkerStatistics struct {
JobsProcessed int64
ProcessingTime time.Duration
ErrorCount int64
IdleTime time.Duration
LastJobTime time.Time
}
// ExecutorMetrics contains executor metrics
type ExecutorMetrics struct {
QueueSize int
ActiveWorkers int
CompletedJobs int64
FailedJobs int64
AverageWaitTime time.Duration
ThroughputRate float64
}
// ProfileAggregator aggregates profile data
type ProfileAggregator struct {
config AggregatorConfig
buffers map[string]*AggregationBuffer
functions map[AggregationFunction]AggregatorFunc
metrics *AggregatorMetrics
mu sync.RWMutex
}
// AggregatorConfig contains aggregator configuration
type AggregatorConfig struct {
Enabled bool
BufferSize int
FlushInterval time.Duration
Functions []AggregationFunction
GroupBy []string
Filters []AggregationFilter
OutputFormat OutputFormat
}
// AggregationBuffer buffers data for aggregation
type AggregationBuffer struct {
Key string
Samples []*ProfileSample
StartTime time.Time
LastUpdate time.Time
Size int
Full bool
}
// AggregationFilter filters data for aggregation
type AggregationFilter struct {
Field string
Operator ComparisonOperator
Value interface{}
Enabled bool
}
// AggregatorFunc defines aggregator functions
type AggregatorFunc func([]*ProfileSample) *AggregatedSample
// AggregatedSample represents aggregated sample data
type AggregatedSample struct {
Key string
Count int64
Sum int64
Min int64
Max int64
Mean float64
Percentiles map[int]int64
Timestamp time.Time
TimeRange TimeRange
}
// AggregatorMetrics contains aggregator metrics
type AggregatorMetrics struct {
BuffersActive int
SamplesAggregated int64
FlushCount int64
ProcessingTime time.Duration
MemoryUsage int64
}
// ProfileFilter filters profile data
type ProfileFilter struct {
config FilterConfig
filters map[string]Filter
metrics *FilterMetrics
mu sync.RWMutex
}
// FilterConfig contains filter configuration
type FilterConfig struct {
Enabled bool
Filters []FilterRule
DefaultAction FilterAction
CaseSensitive bool
RegexCache int
}
// FilterRule defines filtering rules
type FilterRule struct {
Name string
Type FilterType
Pattern string
Action FilterAction
Priority int
Enabled bool
Compiled interface{}
}
// FilterAction defines filter actions
type FilterAction int
const (
AllowAction FilterAction = iota
DenyAction
TransformAction
TagAction
)
// Filter performs data filtering
type Filter interface {
Apply(sample *ProfileSample) FilterResult
GetType() FilterType
GetMetrics() FilterMetrics
}
// FilterResult contains filter results
type FilterResult struct {
Action FilterAction
Matched bool
Transform map[string]interface{}
Tags map[string]string
Reason string
}
// FilterMetrics contains filter metrics
type FilterMetrics struct {
SamplesProcessed int64
SamplesFiltered int64
ProcessingTime time.Duration
CacheHits int64
CacheMisses int64
}
// ProfilerMetrics contains overall profiler metrics
type ProfilerMetrics struct {
StartTime time.Time
UptimeSeconds int64
SamplesCollected int64
SamplesProcessed int64
SamplesExported int64
BytesProcessed int64
ErrorCount int64
MemoryUsage int64
CPUUsage float64
GoroutineCount int
CollectorMetrics map[string]CollectorMetrics
ProcessorMetrics map[string]ProcessorMetrics
ExporterMetrics map[string]ExporterMetrics
}
// ProfilerState contains profiler state
type ProfilerState struct {
Status ProfilerStatus
StartTime time.Time
LastSample time.Time
LastExport time.Time
ErrorState *ErrorState
Version string
ConfigHash string
}
// ProfilerStatus defines profiler status
type ProfilerStatus int
const (
StoppedStatus ProfilerStatus = iota
StartingStatus
RunningStatus
StoppingStatus
ErrorStatus
PausedStatus
)
// ErrorState contains error state information
type ErrorState struct {
LastError error
ErrorCount int64
FirstError time.Time
LastErrorTime time.Time
Recoverable bool
}
// NewCustomProfiler creates a new custom profiler
func NewCustomProfiler(config ProfilerConfig) *CustomProfiler {
profiler := &CustomProfiler{
config: config,
collectors: make(map[string]ProfileCollector),
samplers: make(map[string]Sampler),
processors: make(map[string]ProfileProcessor),
metrics: &ProfilerMetrics{StartTime: time.Now()},
state: &ProfilerState{Status: StoppedStatus, Version: "1.0.0"},
}
// Initialize components
profiler.scheduler = NewProfileScheduler()
profiler.aggregator = NewProfileAggregator()
profiler.filter = NewProfileFilter()
// Register default collectors
profiler.registerDefaultCollectors()
// Register default processors
profiler.registerDefaultProcessors()
return profiler
}
// Start starts the custom profiler
func (cp *CustomProfiler) Start(ctx context.Context) error {
cp.mu.Lock()
defer cp.mu.Unlock()
if cp.state.Status == RunningStatus {
return fmt.Errorf("profiler is already running")
}
cp.state.Status = StartingStatus
cp.state.StartTime = time.Now()
// Start enabled collectors
for name, collector := range cp.collectors {
if cp.isCollectorEnabled(name) {
if err := collector.Start(ctx); err != nil {
return fmt.Errorf("failed to start collector %s: %w", name, err)
}
}
}
// Start scheduler
if err := cp.scheduler.Start(ctx); err != nil {
return fmt.Errorf("failed to start scheduler: %w", err)
}
// Start processing loop
go cp.processingLoop(ctx)
cp.state.Status = RunningStatus
return nil
}
// Stop stops the custom profiler
func (cp *CustomProfiler) Stop() error {
cp.mu.Lock()
defer cp.mu.Unlock()
if cp.state.Status != RunningStatus {
return fmt.Errorf("profiler is not running")
}
cp.state.Status = StoppingStatus
// Stop all collectors
for name, collector := range cp.collectors {
if err := collector.Stop(); err != nil {
// Log error but continue stopping other components
fmt.Printf("Error stopping collector %s: %v\n", name, err)
}
}
// Stop scheduler
if err := cp.scheduler.Stop(); err != nil {
fmt.Printf("Error stopping scheduler: %v\n", err)
}
cp.state.Status = StoppedStatus
return nil
}
// CollectProfile collects a profile using specified collectors
func (cp *CustomProfiler) CollectProfile(collectorTypes []CollectorType) (*ProfileData, error) {
cp.mu.RLock()
defer cp.mu.RUnlock()
if cp.state.Status != RunningStatus {
return nil, fmt.Errorf("profiler is not running")
}
// Create combined profile data
combined := &ProfileData{
ID: generateID(),
Timestamp: time.Now(),
Samples: make([]*ProfileSample, 0),
Metadata: cp.buildMetadata(),
Tags: make(map[string]string),
}
// Collect from specified collectors
for _, collectorType := range collectorTypes {
collector := cp.getCollectorByType(collectorType)
if collector == nil {
continue
}
data, err := collector.Collect()
if err != nil {
continue
}
// Merge data
combined.Samples = append(combined.Samples, data.Samples...)
mergeMaps(combined.Tags, data.Tags)
}
// Process collected data
processed, err := cp.processData(combined)
if err != nil {
return nil, fmt.Errorf("failed to process data: %w", err)
}
// Update metrics
atomic.AddInt64(&cp.metrics.SamplesCollected, int64(len(combined.Samples)))
cp.state.LastSample = time.Now()
return processed, nil
}
// ExportProfile exports profile data in specified format
func (cp *CustomProfiler) ExportProfile(data *ProfileData, format OutputFormat) error {
if cp.exporter == nil {
return fmt.Errorf("no exporter configured")
}
if err := cp.exporter.Export(data, format); err != nil {
return fmt.Errorf("export failed: %w", err)
}
atomic.AddInt64(&cp.metrics.SamplesExported, int64(len(data.Samples)))
cp.state.LastExport = time.Now()
return nil
}
// GetMetrics returns profiler metrics
func (cp *CustomProfiler) GetMetrics() *ProfilerMetrics {
cp.mu.RLock()
defer cp.mu.RUnlock()
metrics := *cp.metrics
metrics.UptimeSeconds = int64(time.Since(cp.metrics.StartTime).Seconds())
metrics.MemoryUsage = getMemoryUsage()
metrics.CPUUsage = getCPUUsage()
metrics.GoroutineCount = runtime.NumGoroutine()
return &metrics
}
// Helper methods and implementations
func (cp *CustomProfiler) registerDefaultCollectors() {
// Register built-in collectors
cp.collectors["cpu"] = NewCPUCollector()
cp.collectors["memory"] = NewMemoryCollector()
cp.collectors["goroutine"] = NewGoroutineCollector()
cp.collectors["block"] = NewBlockCollector()
cp.collectors["mutex"] = NewMutexCollector()
}
func (cp *CustomProfiler) registerDefaultProcessors() {
// Register built-in processors
cp.processors["aggregation"] = NewAggregationProcessor()
cp.processors["filter"] = NewFilterProcessor()
cp.processors["transform"] = NewTransformProcessor()
}
func (cp *CustomProfiler) processingLoop(ctx context.Context) {
ticker := time.NewTicker(cp.config.FlushInterval)
defer ticker.Stop()
for {
select {
case <-ctx.Done():
return
case <-ticker.C:
cp.flushBuffers()
}
}
}
func (cp *CustomProfiler) isCollectorEnabled(name string) bool {
for _, enabled := range cp.config.EnabledCollectors {
if enabled == name {
return true
}
}
return false
}
func (cp *CustomProfiler) getCollectorByType(collectorType CollectorType) ProfileCollector {
for _, collector := range cp.collectors {
if collector.GetType() == collectorType {
return collector
}
}
return nil
}
func (cp *CustomProfiler) buildMetadata() ProfileMetadata {
var m runtime.MemStats
runtime.ReadMemStats(&m)
return ProfileMetadata{
ProfilerVersion: cp.state.Version,
Runtime: RuntimeInfo{
GoVersion: runtime.Version(),
GOOS: runtime.GOOS,
GOARCH: runtime.GOARCH,
NumCPU: runtime.NumCPU(),
NumGoroutine: runtime.NumGoroutine(),
MemStats: m,
},
StartTime: cp.state.StartTime,
SampleRate: cp.config.SamplingRate,
}
}
func (cp *CustomProfiler) processData(data *ProfileData) (*ProfileData, error) {
processed := data
// Apply filters
if cp.filter != nil {
filtered := &ProfileData{
ID: data.ID,
Type: data.Type,
Timestamp: data.Timestamp,
Duration: data.Duration,
Samples: make([]*ProfileSample, 0),
Metadata: data.Metadata,
Tags: data.Tags,
}
for _, sample := range data.Samples {
result := cp.filter.Apply(sample)
if result.Action == AllowAction {
filtered.Samples = append(filtered.Samples, sample)
}
}
processed = filtered
}
// Apply processors
for _, processor := range cp.processors {
processedData, err := processor.Process(processed)
if err != nil {
continue // Skip failed processors
}
processed = processedData.Processed
}
return processed, nil
}
func (cp *CustomProfiler) flushBuffers() {
// Flush aggregator buffers
if cp.aggregator != nil {
cp.aggregator.Flush()
}
// Flush other component buffers
for _, collector := range cp.collectors {
if flusher, ok := collector.(interface{ Flush() }); ok {
flusher.Flush()
}
}
}
// Utility functions
func generateID() string {
return fmt.Sprintf("%d", time.Now().UnixNano())
}
func mergeMaps(dest, src map[string]string) {
for k, v := range src {
dest[k] = v
}
}
func getMemoryUsage() int64 {
var m runtime.MemStats
runtime.ReadMemStats(&m)
return int64(m.Alloc)
}
func getCPUUsage() float64 {
// Simplified CPU usage calculation
// In a real implementation, this would use more sophisticated methods
return 0.0
}
// Component constructors (simplified)
func NewProfileScheduler() *ProfileScheduler { return &ProfileScheduler{} }
func NewProfileAggregator() *ProfileAggregator { return &ProfileAggregator{} }
func NewProfileFilter() *ProfileFilter { return &ProfileFilter{} }
func NewCPUCollector() ProfileCollector { return nil }
func NewMemoryCollector() ProfileCollector { return nil }
func NewGoroutineCollector() ProfileCollector { return nil }
func NewBlockCollector() ProfileCollector { return nil }
func NewMutexCollector() ProfileCollector { return nil }
func NewAggregationProcessor() ProfileProcessor { return nil }
func NewFilterProcessor() ProfileProcessor { return nil }
func NewTransformProcessor() ProfileProcessor { return nil }
func (ps *ProfileScheduler) Start(ctx context.Context) error { return nil }
func (ps *ProfileScheduler) Stop() error { return nil }
func (pf *ProfileFilter) Apply(sample *ProfileSample) FilterResult { return FilterResult{} }
func (pa *ProfileAggregator) Flush() {}
// Example usage
func ExampleCustomProfiler() {
// Create profiler configuration
config := ProfilerConfig{
Name: "MyCustomProfiler",
Version: "1.0.0",
EnabledCollectors: []string{"cpu", "memory", "goroutine"},
SamplingRate: 0.1, // 10% sampling
MaxMemoryUsage: 100 * 1024 * 1024, // 100MB
MaxCPUUsage: 0.1, // 10% CPU
FlushInterval: time.Minute,
RetentionPeriod: 24 * time.Hour,
CompressionEnabled: true,
MetricsEnabled: true,
OutputFormat: JSONFormat,
OutputDestination: "./profiles",
BufferSize: 1000,
WorkerCount: 4,
BatchSize: 100,
}
// Create custom profiler
profiler := NewCustomProfiler(config)
// Start profiling
ctx := context.Background()
if err := profiler.Start(ctx); err != nil {
fmt.Printf("Failed to start profiler: %v\n", err)
return
}
defer profiler.Stop()
// Collect a profile
profile, err := profiler.CollectProfile([]CollectorType{CPUCollector, MemoryCollector})
if err != nil {
fmt.Printf("Failed to collect profile: %v\n", err)
return
}
// Export profile
if err := profiler.ExportProfile(profile, JSONFormat); err != nil {
fmt.Printf("Failed to export profile: %v\n", err)
return
}
// Get metrics
metrics := profiler.GetMetrics()
fmt.Println("Custom Profiler Example:")
fmt.Printf("Profiler: %s v%s\n", config.Name, config.Version)
fmt.Printf("Samples collected: %d\n", metrics.SamplesCollected)
fmt.Printf("Samples exported: %d\n", metrics.SamplesExported)
fmt.Printf("Memory usage: %d bytes\n", metrics.MemoryUsage)
fmt.Printf("Uptime: %d seconds\n", metrics.UptimeSeconds)
fmt.Printf("Profile ID: %s\n", profile.ID)
fmt.Printf("Sample count: %d\n", len(profile.Samples))
fmt.Printf("Collection time: %v\n", profile.Timestamp)
}
Profile Data Collection
Advanced techniques for collecting custom profile data from Go applications.
Custom Collectors
Building specialized collectors for unique performance metrics.
Sampling Strategies
Implementing intelligent sampling to balance overhead and accuracy.
Data Enrichment
Enriching profile data with additional context and metadata.
Data Processing
Processing and transforming profile data for analysis and visualization.
Aggregation
Aggregating profile data across time and dimensions.
Filtering
Filtering profile data based on custom criteria.
Transformation
Transforming profile data into different formats and representations.
Visualization
Creating custom visualizations for profile data analysis.
Flame Graphs
Generating interactive flame graphs from custom profile data.
Timeline Views
Creating timeline-based visualizations for temporal analysis.
Custom Charts
Building domain-specific charts and graphs for performance analysis.
Best Practices
- Low Overhead: Minimize profiling overhead through efficient sampling
- Data Quality: Ensure high-quality profile data collection
- Scalability: Design profilers that scale with application load
- Modularity: Build modular profilers with pluggable components
- Standards: Follow established profiling data formats when possible
- Security: Implement proper security measures for sensitive profile data
- Documentation: Document custom profiling metrics and methodologies
- Testing: Thoroughly test custom profilers across different scenarios
Summary
Custom profiling enables specialized performance analysis tailored to specific needs:
- Flexible Architecture: Modular profiler design for extensibility
- Custom Collectors: Specialized data collection for unique metrics
- Advanced Processing: Sophisticated data processing and transformation
- Integration: Seamless integration with existing profiling ecosystems
- Visualization: Custom visualizations for domain-specific insights
- Performance: Efficient profiling with minimal application impact
These techniques enable organizations to build profiling solutions that provide unique insights into application performance characteristics.