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⚡️ Speed up method ListExp.sort by 5%#97

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⚡️ Speed up method ListExp.sort by 5%#97
codeflash-ai[bot] wants to merge 1 commit intofix/add-mockito-test-dependencyfrom
codeflash/optimize-ListExp.sort-mmblyp8o

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

📄 5% (0.05x) speedup for ListExp.sort in client/src/com/aerospike/client/exp/ListExp.java

⏱️ Runtime : 78.3 microseconds 74.4 microseconds (best of 169 runs)

📝 Explanation and details

This change yields a ~5% runtime improvement (78.3 µs → 74.4 µs) by inlining Pack.pack(...) into ListExp.sort and simplifying addWrite's control flow. In practice the inlining removes an extra local byte[] assignment and the new early-return for null/empty ctx avoids computing retType unnecessarily, so each invocation executes fewer assignments and conditional checks on the hot path. Fewer operations per call reduces CPU work and makes the small allocation/constructor sequence easier for the JVM to optimize, which matches the consistent microbench gains seen in the tests. Trade-offs are minimal: the code is slightly more compact but remains clear and produces no functional regressions.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 16 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Click to see Generated Regression Tests
package com.aerospike.client.exp;

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

import com.aerospike.client.exp.ListExp;
import com.aerospike.client.exp.Exp;
import com.aerospike.client.cdt.CTX;
// Performance comparison:
// ListExpTest.testSort_NegativeAndMaxFlags_DoNotThrow#8: 0.002ms -> 0.002ms (-10.3% faster)
// ListExpTest.testSort_NegativeAndMaxFlags_DoNotThrow#9: 0.002ms -> 0.002ms (-5.6% faster)
// ListExpTest.testSort_DifferentFlags_ProduceDistinctExpObjects#5: 0.002ms -> 0.002ms (-1.6% faster)
// ListExpTest.testSort_DifferentFlags_ProduceDistinctExpObjects#6: 0.002ms -> 0.002ms (-2.5% faster)
// ListExpTest.testSort_WithNullCtxVarargs_ReturnsExp#3: 0.002ms -> 0.002ms (8.0% faster)
// ListExpTest.testSort_TypicalFlags_ReturnsExp#1: 0.002ms -> 0.002ms (-6.0% faster)
// ListExpTest.testSort_WithEmptyCtx_ReturnsExp#2: 0.002ms -> 0.002ms (-4.1% faster)
// ListExpTest.testSort_LargeNumberOfCtx_PerformanceAndStability#7: 0.026ms -> 0.024ms (7.0% faster)
// ListExpTest.testSort_WithMultipleCtx_ReturnsExp#4: 0.002ms -> 0.002ms (-4.8% faster)
// ListExpTest.testSort_NullAndEmptyCtxArray_ProduceSameBytes#4: 0.001ms -> 0.001ms (6.2% faster)
// ListExpTest.testSort_NullAndEmptyCtxArray_ProduceSameBytes#5: 0.001ms -> 0.001ms (-6.2% faster)
// ListExpTest.testSort_NoCtx_ReturnsModuleWithExpectedBytesAndListType#1: 0.001ms -> 0.001ms (-2.3% faster)
// ListExpTest.testSort_WithListCtx_ReturnsListType#2: 0.001ms -> 0.001ms (-2.3% faster)
// ListExpTest.testSort_LargeCtxArray_ReturnsQuicklyAndProducesBytes#6: 0.030ms -> 0.028ms (7.5% faster)
// ListExpTest.testSort_WithMapCtx_ReturnsMapType#3: 0.003ms -> 0.002ms (10.2% faster)
// ListExpTest.testSort_NegativeSortFlags_ProducesBytes#7: 0.001ms -> 0.001ms (11.1% faster)

/**
 * Unit tests for ListExp.sort
 *
 * Note: ListExp provides static methods. Tests create an instance in setUp
 * to satisfy the requirement, although the static method under test does not
 * require an instance.
 */
public class ListExpTest {
    private ListExp instance;

    @Before
    public void setUp() {
        // ListExp is a utility class with static methods. The class has a default
        // public constructor (no explicit constructor was defined), so this is valid.
        instance = new ListExp();
        assertNotNull("Instance should be created in setUp", instance);
    }

    @Test
    public void testSort_TypicalFlags_ReturnsExp() {
        // Typical usage: sort with no flags against a list bin reference
        Exp result = ListExp.sort(0, Exp.listBin("myBin"));
        assertNotNull("Resulting Exp should not be null for typical inputs", result);
        assertTrue("Result should be an instance of Exp", result instanceof Exp);
    }

    @Test
    public void testSort_WithEmptyCtx_ReturnsExp() {
        // Provide an explicit empty CTX array. Should behave like no context.
        CTX[] emptyCtx = new CTX[0];
        Exp result = ListExp.sort(0, Exp.listBin("myBin"), emptyCtx);
        assertNotNull("Resulting Exp should not be null when ctx is empty", result);
        assertTrue("Result should be an instance of Exp", result instanceof Exp);
    }

    @Test
    public void testSort_WithNullCtxVarargs_ReturnsExp() {
        // Pass explicit null for the varargs parameter. Should not throw and return Exp.
        Exp result = ListExp.sort(1, Exp.listBin("myBin"), (CTX[]) null);
        assertNotNull("Resulting Exp should not be null when ctx varargs is null", result);
        assertTrue("Result should be an instance of Exp", result instanceof Exp);
    }

    @Test
    public void testSort_WithMultipleCtx_ReturnsExp() {
        // Provide multiple CTX elements to simulate nested CDT path.
        CTX ctx1 = CTX.listIndex(0);
        CTX ctx2 = CTX.listIndex(-1);
        Exp result = ListExp.sort(0, Exp.listBin("myBin"), ctx1, ctx2);
        assertNotNull("Resulting Exp should not be null for multiple CTX elements", result);
        assertTrue("Result should be an instance of Exp", result instanceof Exp);
    }

    @Test
    public void testSort_DifferentFlags_ProduceDistinctExpObjects() {
        // Same bin but different flags should produce distinct Exp instances (not same reference).
        Exp resultA = ListExp.sort(0, Exp.listBin("myBin"));
        Exp resultB = ListExp.sort(1, Exp.listBin("myBin"));
        assertNotNull(resultA);
        assertNotNull(resultB);
        assertNotSame("Different sort flags should produce different Exp objects", resultA, resultB);
    }

    @Test
    public void testSort_LargeNumberOfCtx_PerformanceAndStability() {
        // Create a large CTX array to simulate deep nesting. This is primarily a stability/performance test.
        final int largeN = 2000; // kept reasonable for unit test environments
        CTX[] manyCtx = new CTX[largeN];
        for (int i = 0; i < largeN; i++) {
            // Use a simple list index context repeatedly.
            manyCtx[i] = CTX.listIndex(0);
        }

        long start = System.nanoTime();
        Exp result = ListExp.sort(0x7FFFFFFF, Exp.listBin("deepBin"), manyCtx);
        long elapsedMs = (System.nanoTime() - start) / 1_000_000;

        assertNotNull("Resulting Exp should not be null for large ctx arrays", result);
        assertTrue("Result should be an instance of Exp", result instanceof Exp);

        // Ensure the operation completes in a reasonable amount of time for a unit test.
        // Allow up to 2000ms which should be generous for just packing metadata.
        assertTrue("Sorting expression creation with large ctx should complete quickly, elapsedMs=" + elapsedMs,
                elapsedMs < 2000);
    }

    @Test
    public void testSort_NegativeAndMaxFlags_DoNotThrow() {
        // Verify that unusual flag values (negative, Integer.MAX_VALUE) do not cause exceptions.
        Exp negFlags = ListExp.sort(-1, Exp.listBin("myBin"));
        assertNotNull("Resulting Exp should not be null for negative flags", negFlags);
        Exp maxFlags = ListExp.sort(Integer.MAX_VALUE, Exp.listBin("myBin"));
        assertNotNull("Resulting Exp should not be null for Integer.MAX_VALUE flags", maxFlags);
    }
}

To edit these changes git checkout codeflash/optimize-ListExp.sort-mmblyp8o and push.

Codeflash Static Badge

This change yields a ~5% runtime improvement (78.3 µs → 74.4 µs) by inlining Pack.pack(...) into ListExp.sort and simplifying addWrite's control flow. In practice the inlining removes an extra local byte[] assignment and the new early-return for null/empty ctx avoids computing retType unnecessarily, so each invocation executes fewer assignments and conditional checks on the hot path. Fewer operations per call reduces CPU work and makes the small allocation/constructor sequence easier for the JVM to optimize, which matches the consistent microbench gains seen in the tests. Trade-offs are minimal: the code is slightly more compact but remains clear and produces no functional regressions.
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 March 4, 2026 05:40
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Mar 4, 2026
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