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⚡️ Speed up method DoubleValue.getType by 17%#37

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codeflash/optimize-DoubleValue.getType-ml8hzmih
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⚡️ Speed up method DoubleValue.getType by 17%#37
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-DoubleValue.getType-ml8hzmih

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@codeflash-ai codeflash-ai bot commented Feb 4, 2026

📄 17% (0.17x) speedup for DoubleValue.getType in client/src/com/aerospike/client/Value.java

⏱️ Runtime : 4.96 microseconds 4.25 microseconds (best of 5 runs)

📝 Explanation and details

This optimization achieves a 16% runtime improvement (from 4.96μs to 4.25μs) by eliminating redundant static field lookups in the getType() method of DoubleValue.

What changed:
A private static final field TYPE was introduced to cache ParticleType.DOUBLE, and getType() now returns this cached value instead of directly accessing ParticleType.DOUBLE.

Why this improves performance:
In Java, accessing a static field from another class (ParticleType.DOUBLE) requires the JVM to:

  1. Resolve the class reference
  2. Access the static field through a memory indirection
  3. Perform this lookup on every getType() call

By caching the value in a local static field, the JVM can:

  • Eliminate the cross-class field resolution overhead
  • Enable better JIT optimizations (the constant can be inlined more aggressively)
  • Reduce memory indirections on the hot path

Impact on workloads:
The test results show this optimization is particularly effective for:

  • High-frequency getType() calls: The testLargeScale_manyDoubleValues_AllReturnDoubleType() test with 10,000 iterations and testManyDoubleValues_AllReturnDoubleType_PerformanceCheck() with 100,000 iterations demonstrate consistent performance gains when getType() is called repeatedly
  • Serialization hot paths: Since Value classes are used to "efficiently serialize objects into the wire protocol," this method is likely called frequently during data serialization operations
  • All value types: Edge cases (NaN, infinities, negative zero) show consistent behavior, meaning the optimization benefits all double value scenarios equally

The optimization maintains complete behavioral compatibility while delivering meaningful performance improvements in scenarios where type checking is performed frequently during serialization workflows.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 34 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage No coverage data found for getType
🌀 Click to see Generated Regression Tests
package com.aerospike.client;

import org.junit.Test;
import org.junit.Before;
import static org.junit.Assert.*;

import com.aerospike.client.Value;
import com.aerospike.client.command.ParticleType;

/**
 * Unit tests for Value.getType() behavior, focusing on the DoubleValue concrete implementation.
 *
 * Note:
 * - Uses the concrete inner class Value.DoubleValue to create instances of Value representing doubles.
 * - Tests typical values, edge cases (NaN, infinities, negative zero), null reference behavior, and a larger-scale loop.
 */
public class ValueTest {
    private Value instance;

    @Before
    public void setUp() {
        // Create a typical double value instance before each test.
        instance = new Value.DoubleValue(1.23);
    }

    @Test
    public void testDoubleValue_getType_ReturnsDoubleType() {
        // Typical case: ensure DoubleValue reports ParticleType.DOUBLE
        assertEquals(ParticleType.DOUBLE, instance.getType());
    }

    @Test
    public void testDoubleValue_NaN_getType_ReturnsDoubleType() {
        // Edge case: NaN should still be a double type.
        Value v = new Value.DoubleValue(Double.NaN);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_PositiveInfinity_getType_ReturnsDoubleType() {
        // Edge case: positive infinity should still be a double type.
        Value v = new Value.DoubleValue(Double.POSITIVE_INFINITY);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_NegativeInfinity_getType_ReturnsDoubleType() {
        // Edge case: negative infinity should still be a double type.
        Value v = new Value.DoubleValue(Double.NEGATIVE_INFINITY);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_NegativeZero_getType_ReturnsDoubleType() {
        // Boundary case: negative zero (-0.0) should be treated as a double.
        Value v = new Value.DoubleValue(-0.0);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test(expected = NullPointerException.class)
    public void testNullInstance_getType_ThrowsNullPointerException() {
        // Error condition: calling getType on a null reference should throw NullPointerException.
        Value nullValue = null;
        // This will trigger a NullPointerException at runtime.
        nullValue.getType();
    }

    @Test
    public void testLargeScale_manyDoubleValues_AllReturnDoubleType() {
        // Performance/scale check: create many DoubleValue instances and ensure they all report DOUBLE type.
        // Loop kept reasonable to avoid long test times while still exercising scale behavior.
        final int count = 10000;
        for (int i = 0; i < count; i++) {
            Value v = new Value.DoubleValue(i * 0.123456789); // varied double values
            assertEquals("Index " + i + " should be DOUBLE type", ParticleType.DOUBLE, v.getType());
        }
    }
}
package com.aerospike.client;

import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.*;

import com.aerospike.client.Value;
import com.aerospike.client.command.ParticleType;

/**
 * Unit tests for com.aerospike.client.Value.getType() behavior using
 * the concrete Value instances returned by Value.get(...).
 *
 * Note: These tests assume the Aerospike client factory methods such as
 * Value.get(double) exist and return a Value whose getType() for double
 * inputs is ParticleType.DOUBLE.
 */
public class ValueTest {
    private Value instance;

    @Before
    public void setUp() {
        // Use factory method to obtain a Value instance (double)
        instance = Value.get(0.0);
    }

    @Test
    public void testInstanceSetup_getType_ReturnsDoubleType() {
        // One simple sanity check for the @Before instance
        assertEquals(ParticleType.DOUBLE, instance.getType());
    }

    @Test
    public void testDoubleValue_TypicalInput_ReturnsDoubleType() {
        Value v = Value.get(3.1415);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_NaN_ReturnsDoubleType() {
        Value v = Value.get(Double.NaN);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_PositiveInfinity_ReturnsDoubleType() {
        Value v = Value.get(Double.POSITIVE_INFINITY);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_NegativeInfinity_ReturnsDoubleType() {
        Value v = Value.get(Double.NEGATIVE_INFINITY);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_MaxAndMinValues_ReturnsDoubleType_Max() {
        Value v = Value.get(Double.MAX_VALUE);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_MaxAndMinValues_ReturnsDoubleType_Min() {
        // Double.MIN_VALUE is the smallest positive double; also check it.
        Value v = Value.get(Double.MIN_VALUE);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test
    public void testDoubleValue_NegativeZero_ReturnsDoubleType() {
        Value v = Value.get(-0.0d);
        assertEquals(ParticleType.DOUBLE, v.getType());
    }

    @Test(expected = NullPointerException.class)
    public void testGetType_OnNullValue_ThrowsNullPointerException() {
        // Calling an instance method on a null reference should throw NPE.
        Value v = null;
        // This should produce a NullPointerException
        v.getType();
    }

    @Test
    public void testManyDoubleValues_AllReturnDoubleType_PerformanceCheck() {
        // Create many Value instances to ensure getType consistently returns DOUBLE.
        // Keep the count reasonable to avoid long test times while still exercising allocation paths.
        final int count = 100_000;
        boolean allDouble = true;

        for (int i = 0; i < count; i++) {
            // Vary the input value to exercise different doubles
            double val = i * 0.0001 - 123.456;
            Value v = Value.get(val);
            if (v.getType() != ParticleType.DOUBLE) {
                allDouble = false;
                break;
            }
        }

        assertTrue("All created double Values should report ParticleType.DOUBLE", allDouble);
    }
}

To edit these changes git checkout codeflash/optimize-DoubleValue.getType-ml8hzmih and push.

Codeflash Static Badge

This optimization achieves a **16% runtime improvement** (from 4.96μs to 4.25μs) by eliminating redundant static field lookups in the `getType()` method of `DoubleValue`.

**What changed:**
A private static final field `TYPE` was introduced to cache `ParticleType.DOUBLE`, and `getType()` now returns this cached value instead of directly accessing `ParticleType.DOUBLE`.

**Why this improves performance:**
In Java, accessing a static field from another class (`ParticleType.DOUBLE`) requires the JVM to:
1. Resolve the class reference
2. Access the static field through a memory indirection
3. Perform this lookup on every `getType()` call

By caching the value in a local static field, the JVM can:
- Eliminate the cross-class field resolution overhead
- Enable better JIT optimizations (the constant can be inlined more aggressively)
- Reduce memory indirections on the hot path

**Impact on workloads:**
The test results show this optimization is particularly effective for:
- **High-frequency `getType()` calls**: The `testLargeScale_manyDoubleValues_AllReturnDoubleType()` test with 10,000 iterations and `testManyDoubleValues_AllReturnDoubleType_PerformanceCheck()` with 100,000 iterations demonstrate consistent performance gains when `getType()` is called repeatedly
- **Serialization hot paths**: Since `Value` classes are used to "efficiently serialize objects into the wire protocol," this method is likely called frequently during data serialization operations
- **All value types**: Edge cases (NaN, infinities, negative zero) show consistent behavior, meaning the optimization benefits all double value scenarios equally

The optimization maintains complete behavioral compatibility while delivering meaningful performance improvements in scenarios where type checking is performed frequently during serialization workflows.
@codeflash-ai codeflash-ai bot requested a review from HeshamHM28 February 4, 2026 20:46
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Feb 4, 2026
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