Advanced Trace: Advanced Performance Analysis Library

Overview

Advanced Trace is a comprehensive toolkit for performance analysis and concurrent operation tracing in Ring language.

Key Features

• Advanced operation and performance tracking
• Concurrent operation analysis
• Resource usage analysis
• Operation dependency tracking

Core Components

1. Advanced Trace System

Load "advanced_trace.ring"
trace = new AdvancedTrace()
trace.startTrace()
# Operations to trace
trace.endTrace()

Features:

• Multiple trace levels
• Performance tracking
• Variable watching
• Custom logging

2. Performance Analyzer

Load "performance_analyzer.ring"
analyzer = new PerformanceAnalyzer()
analyzer.startProfiling()
# Operations to analyze
analyzer.endProfiling()
report = analyzer.generateReport()

Features:

• Execution time analysis
• Memory usage analysis
• Metrics tracking
• Detailed reporting

3. Concurrent Analyzer

Load "concurrent_analyzer.ring"
concurrent = new ConcurrentAnalyzer()

# Start operation
concurrent.startOperation("op1", "Data Loading")

# Add dependency
concurrent.addDependency("op2", "op1")

# Acquire resource
concurrent.acquireResource("op1", "database")

# End operation
concurrent.endOperation("op1")

Features:

• Concurrent operation tracking
• Resource management
• Dependency tracking
• Operation state analysis

Basic Usage

1. Starting Analysis

# Initialize analyzers
trace = new AdvancedTrace()
perf = new PerformanceAnalyzer()
concurrent = new ConcurrentAnalyzer()

# Start analysis
trace.startTrace()
perf.startProfiling()

# Operations to analyze
myOperation()

# End analysis
trace.endTrace()
perf.endProfiling()

Examples

1. Analyzing Concurrent Operations

concurrent = new ConcurrentAnalyzer()

# Data loading operation
concurrent.startOperation("load", "Data Loading")
concurrent.acquireResource("load", "database")
# ... loading operation
concurrent.releaseResource("load", "database")
concurrent.endOperation("load")

# Processing operation
concurrent.startOperation("process", "Data Processing")
concurrent.addDependency("process", "load")
concurrent.acquireResource("process", "cpu")
# ... processing operation
concurrent.releaseResource("process", "cpu")
concurrent.endOperation("process")

2. Performance Analysis

perf = new PerformanceAnalyzer()
perf.startProfiling()

# Operations to analyze
for i = 1 to 1000
    heavyOperation()
next
perf.endProfiling()
report = perf.generateReport()