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buffer-pool-monitoring.mdclass-loading-monitoring.mdcpu-time-monitoring.mdfile-descriptor-monitoring.mdgc-monitoring.mdindex.mdjmx-attribute-access.mdjvm-attributes.mdmemory-monitoring.mdthread-monitoring.md

cpu-time-monitoring.mddocs/

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# CPU Time Monitoring

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CPU time measurement capabilities for performance monitoring and thread-specific timing analysis.

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## Core Imports

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```java

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import com.codahale.metrics.jvm.CpuTimeClock;

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import com.codahale.metrics.Clock;

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```

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## Capabilities

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### CpuTimeClock

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A specialized clock implementation that returns the current thread's CPU time for precise performance measurement.

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```java { .api }

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/**

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* A clock implementation which returns the current thread's CPU time.

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*/

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public class CpuTimeClock extends Clock {

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/**

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* Returns the current thread's CPU time in nanoseconds.

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* @return CPU time tick for the current thread

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*/

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public long getTick();

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}

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```

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**Usage Examples:**

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```java

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import com.codahale.metrics.*;

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import com.codahale.metrics.jvm.CpuTimeClock;

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// Create CPU time clock instance

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CpuTimeClock cpuClock = new CpuTimeClock();

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// Use with Timer for CPU time measurement

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MetricRegistry registry = new MetricRegistry();

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Timer cpuTimer = new Timer(registry.getMetricRegistry(), cpuClock);

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registry.register("cpu-time-timer", cpuTimer);

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// Measure CPU time for operations

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Timer.Context context = cpuTimer.time();

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try {

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// Perform CPU-intensive operation

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performComplexCalculation();

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} finally {

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context.stop(); // Records CPU time, not wall-clock time

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}

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// Direct CPU time measurement

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long startCpuTime = cpuClock.getTick();

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performOperation();

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long endCpuTime = cpuClock.getTick();

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long cpuTimeUsed = endCpuTime - startCpuTime;

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System.out.println("CPU time used: " + cpuTimeUsed + " nanoseconds");

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System.out.println("CPU time used: " + (cpuTimeUsed / 1_000_000.0) + " milliseconds");

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// Compare with wall-clock time

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Clock wallClock = Clock.defaultClock();

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long startWall = wallClock.getTick();

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long startCpu = cpuClock.getTick();

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performOperationWithWaiting();

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long endWall = wallClock.getTick();

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long endCpu = cpuClock.getTick();

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long wallTime = endWall - startWall;

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long cpuTime = endCpu - startCpu;

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System.out.println("Wall-clock time: " + (wallTime / 1_000_000.0) + " ms");

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System.out.println("CPU time: " + (cpuTime / 1_000_000.0) + " ms");

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System.out.println("CPU efficiency: " + ((double) cpuTime / wallTime * 100) + "%");

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```

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**Integration with Metrics Framework:**

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```java

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// Create histogram with CPU time measurement

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Histogram cpuHistogram = new Histogram(new UniformReservoir()) {

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private final CpuTimeClock cpuClock = new CpuTimeClock();

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public void time(Runnable operation) {

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long start = cpuClock.getTick();

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try {

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operation.run();

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} finally {

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long duration = cpuClock.getTick() - start;

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update(duration);

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}

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}

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};

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// Usage

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cpuHistogram.time(() -> {

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// CPU-intensive operation

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calculatePrimes(1000000);

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});

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// CPU time-based meter

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Meter cpuMeter = new Meter(cpuClock);

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registry.register("cpu-operations-rate", cpuMeter);

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// Mark CPU-intensive operations

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cpuMeter.mark(); // Records based on CPU time progression

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```

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**Performance Analysis Patterns:**

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```java

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public class CpuPerformanceAnalyzer {

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private final CpuTimeClock cpuClock = new CpuTimeClock();

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private final Clock wallClock = Clock.defaultClock();

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public PerformanceMetrics analyzeOperation(Runnable operation) {

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long startWall = wallClock.getTick();

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long startCpu = cpuClock.getTick();

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operation.run();

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long endWall = wallClock.getTick();

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long endCpu = cpuClock.getTick();

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return new PerformanceMetrics(

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endWall - startWall, // Wall time

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endCpu - startCpu // CPU time

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);

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}

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public static class PerformanceMetrics {

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private final long wallTimeNanos;

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private final long cpuTimeNanos;

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public PerformanceMetrics(long wallTimeNanos, long cpuTimeNanos) {

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this.wallTimeNanos = wallTimeNanos;

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this.cpuTimeNanos = cpuTimeNanos;

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}

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public double getCpuEfficiency() {

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return wallTimeNanos > 0 ? (double) cpuTimeNanos / wallTimeNanos : 0.0;

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}

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public long getWaitTimeNanos() {

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return wallTimeNanos - cpuTimeNanos;

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}

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public boolean isCpuBound() {

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return getCpuEfficiency() > 0.8; // More than 80% CPU usage

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}

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public boolean isIoBound() {

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return getCpuEfficiency() < 0.2; // Less than 20% CPU usage

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}

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}

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}

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// Usage

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CpuPerformanceAnalyzer analyzer = new CpuPerformanceAnalyzer();

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PerformanceMetrics metrics = analyzer.analyzeOperation(() -> {

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// Some operation to analyze

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processData();

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});

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System.out.println("CPU efficiency: " + (metrics.getCpuEfficiency() * 100) + "%");

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System.out.println("Wait time: " + (metrics.getWaitTimeNanos() / 1_000_000.0) + " ms");

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System.out.println("Operation type: " +

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(metrics.isCpuBound() ? "CPU-bound" :

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metrics.isIoBound() ? "I/O-bound" : "Mixed"));

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```

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**Thread-Specific Behavior:**

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```java

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// CPU time is thread-specific

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public class ThreadCpuMonitor {

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public void demonstrateThreadSpecificity() {

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CpuTimeClock cpuClock = new CpuTimeClock();

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// Start background thread

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Thread backgroundThread = new Thread(() -> {

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long threadCpuStart = cpuClock.getTick();

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// CPU-intensive work in background

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burnCpu(1000);

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long threadCpuEnd = cpuClock.getTick();

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System.out.println("Background thread CPU time: " +

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(threadCpuEnd - threadCpuStart) / 1_000_000.0 + " ms");

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});

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backgroundThread.start();

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// Main thread CPU measurement (independent of background thread)

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long mainCpuStart = cpuClock.getTick();

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Thread.sleep(500); // This uses no CPU time

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long mainCpuEnd = cpuClock.getTick();

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System.out.println("Main thread CPU time during sleep: " +

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(mainCpuEnd - mainCpuStart) / 1_000_000.0 + " ms"); // Should be near 0

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try {

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backgroundThread.join();

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} catch (InterruptedException e) {

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Thread.currentThread().interrupt();

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}

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}

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}

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```

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**Platform Considerations:**

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- **CPU Time Accuracy**: Depends on JVM and operating system implementation

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- **Thread Support**: Requires ThreadMXBean support for CPU time measurement

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- **Resolution**: Typically nanosecond resolution, but actual precision varies by platform

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- **Overhead**: Minimal overhead for CPU time queries, suitable for production use

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**Monitoring Use Cases:**

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- **Performance Profiling**: Identify CPU vs. I/O bound operations

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- **Resource Usage Analysis**: Measure actual CPU consumption vs. wall-clock time

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- **Efficiency Metrics**: Calculate CPU utilization ratios for optimization

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- **Comparative Analysis**: Compare algorithm performance based on CPU time rather than elapsed time