{
  "date": "2026-10-21",
  "issue": "https://github.com/datafusion-contrib/StreamFusion/issues/398",
  "base_commit": "c5fd8dd1",
  "retained_variant": "numeric_boolean_generated_batch_loop",
  "configuration": {
    "os": "Linux",
    "architecture": "x86_64",
    "cpu_model": "12th Gen Intel Core i7-12650H",
    "visible_logical_cpus": 16,
    "java_compiler_and_runtime": "OpenJDK 17.0.20.1; Java release target 11",
    "flink_lines": [
      "2.2.1",
      "1.18.1"
    ],
    "native_build": "cargo build --release --features mimalloc --workspace via Maven bench profile",
    "heap": "2 GiB",
    "parallelism": 1,
    "input": "runtime RowData source fromSequence mapped to nullable INT id",
    "query": "INSERT INTO sink SELECT id, tick(id), tick(id + 1) FROM src",
    "udfs": "one shared non-deterministic IntTick, LongTick or TextTick per query",
    "sink": "rowwise blackhole",
    "clock": "complete executeSql(...).await(); environment creation and explain-plan checks outside timer",
    "native_route_assertions": "NativeCalc plus both transposes, no fallback, exact consumed rows, exact per-job directPrimitiveCalcRows delta in retained runs",
    "default_shared_stateful_option": "unset; defaults true",
    "production_ipc": true
  },
  "native_library_sha256": "2dfd4fd4c824f3aafef9be3c2c872fcb8e0065ba66a6e09261c25b616abcbb02",
  "source_sha256": {
    "src/main/java/tech/streamfusion/operator/NativeUdf.java": "d69d986859774fe335bec136a5938273b880153c01760b2ac9039fabb20f5f1b",
    "src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java": "891ac992507f2225ff9ba24b27cd4582c4bf73066e2d1fb64f4517891d46d629",
    "src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java": "d19aa59377b35153772085a777627d3778c1dbfaf6aa7ebb355d7c5bfdf35e73",
    "src/test/java/tech/streamfusion/SharedStatefulScalarBenchmark.java": "542c061d25118bd8b3246b33e65201c0b9359cde0b45d108bcc521d4a3e5cf2f",
    "src/test/java/tech/streamfusion/FlinkSharedUdfOrderSqlHarnessTest.java": "0735ec31ee0cd1dd6269b0248cada5f411ba60bebda8704675ab3255455fc670",
    "src/test/java/tech/streamfusion/FlinkUdfLifecycleSqlHarnessTest.java": "118686f256537473a24716f78a06d622ac9ddaf24db87e867d069a82ec7b71bd"
  },
  "optimization_budget": {
    "authorized": "about one hour if profiling found no clear opportunities",
    "approach": "two focused prototypes; retain generated row loop only for numeric/boolean inputs and outputs; preserve original string row dispatch; remove embedded-body prototype"
  },
  "limitations": [
    "Complete jobs retain both perimeter conversions, production ownership, JNI where intrinsic and rowwise sink copying. No isolated Rust-kernel or small-functionality speedup is claimed.",
    "Warmup and measurement trials are retained. Different JVM cohorts and paired stock controls drift; medians and overlapping ranges do not establish a universal speedup.",
    "Profile timings are diagnostic and excluded from performance claims. Profile counts are sampled CPU observations or estimated Java allocation weights, not exact time partitions, allocation requests or copied bytes.",
    "Inclusive profile counts overlap. UDF work can be inlined into generated evaluator frames; argument/result boxing and useful UDF execution cannot be cleanly separated from samples alone.",
    "External compute monitoring checks Java/Rust/C compiler and javadoc processes; zero observations does not establish that the entire host is idle. Earlier diagnostic recordings overlapped external Java work.",
    "The first all-results small-batch 2.2 baseline cohort overlapped external Java builds and contains large outliers, including a 14.145653099 s stock trial. It is retained as diagnostic evidence and is not used as the retained implementation headline.",
    "Correctness-verified UDF execution remains default-enabled under the accepted performance exception even when complete jobs lose to stock Flink."
  ],
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    "all_results_batch": "diff --git a/src/main/java/tech/streamfusion/operator/NativeUdf.java b/src/main/java/tech/streamfusion/operator/NativeUdf.java\nindex 6bf2b879..ae927bad 100644\n--- a/src/main/java/tech/streamfusion/operator/NativeUdf.java\n+++ b/src/main/java/tech/streamfusion/operator/NativeUdf.java\n@@ -653,10 +653,7 @@ public final class NativeUdf {\n     try {\n       for (FieldVector vector : out.getFieldVectors()) vector.setInitialCapacity(in.getRowCount());\n       var writer = tech.streamfusion.arrow.ArrowConversion.createRowDataArrowWriter(out, type);\n-      for (int row = 0; row < in.getRowCount(); row++) {\n-        var value = (org.apache.flink.table.data.RowData) udf.generated.evalRow(reader.read(row));\n-        if (value != null) writer.write(value);\n-      }\n+      udf.generated.evalBatch(reader, writer, in.getRowCount());\n       writer.finish();\n       return out;\n     } catch (Throwable failure) {\ndiff --git a/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java b/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\nindex 973626bd..387c0fa7 100644\n--- a/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\n+++ b/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\n@@ -29,6 +29,18 @@ public final class FlinkExpressionFunction extends ScalarFunction\n   public interface Evaluator extends Function {\n     Object eval(RowData input) throws Exception;\n \n+    /** Compatibility path for serialized evaluators generated before batch evaluation. */\n+    default void evalBatch(\n+        tech.streamfusion.arrow.ArrowReader reader,\n+        tech.streamfusion.arrow.ArrowWriter<RowData> writer,\n+        int rows)\n+        throws Exception {\n+      for (int row = 0; row < rows; row++) {\n+        RowData value = (RowData) eval(reader.read(row));\n+        if (value != null) writer.write(value);\n+      }\n+    }\n+\n     default void bindProcessingTime(ProcessingTimeService service) {}\n \n     void open(FunctionContext context) throws Exception;\n@@ -148,6 +160,15 @@ public final class FlinkExpressionFunction extends ScalarFunction\n     return evaluator.eval(row);\n   }\n \n+  /** Keep the row loop inside generated code, where the evaluator's concrete type is known. */\n+  public void evalBatch(\n+      tech.streamfusion.arrow.ArrowReader reader,\n+      tech.streamfusion.arrow.ArrowWriter<RowData> writer,\n+      int rows)\n+      throws Exception {\n+    evaluator.evalBatch(reader, writer, rows);\n+  }\n+\n   private void setArgument(int position, Object value) {\n     if (value instanceof String) {\n       String text = ((String) value);\ndiff --git a/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java b/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\nindex df5ae8c5..e5e9a1ec 100644\n--- a/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\n+++ b/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\n@@ -466,6 +466,17 @@ final class FlinkExpressionGenerator {\n             + context.reuseLocalVariableCode(context.reuseLocalVariableCode$default$1())\n             + body.code()\n             + \"}\\n\"\n+            + (rowResultType == null\n+                ? \"\"\n+                : \"public void evalBatch(\"\n+                    + \"tech.streamfusion.arrow.ArrowReader reader, \"\n+                    + \"tech.streamfusion.arrow.ArrowWriter writer, int rows) throws Exception {\\n\"\n+                    + \"for (int row = 0; row < rows; row++) {\\n\"\n+                    + RowData.class.getCanonicalName()\n+                    + \" value = (\"\n+                    + RowData.class.getCanonicalName()\n+                    + \") eval(reader.read(row));\\n\"\n+                    + \"if (value != null) writer.write(value);\\n}\\n}\\n\")\n             + \"public void close() throws Exception {\\n\"\n             + context.reuseCloseCode()\n             + \"}\\n\"\n",
    "embedded_row_body": "diff --git a/src/main/java/tech/streamfusion/operator/NativeUdf.java b/src/main/java/tech/streamfusion/operator/NativeUdf.java\nindex 6bf2b879..ae927bad 100644\n--- a/src/main/java/tech/streamfusion/operator/NativeUdf.java\n+++ b/src/main/java/tech/streamfusion/operator/NativeUdf.java\n@@ -653,10 +653,7 @@ public final class NativeUdf {\n     try {\n       for (FieldVector vector : out.getFieldVectors()) vector.setInitialCapacity(in.getRowCount());\n       var writer = tech.streamfusion.arrow.ArrowConversion.createRowDataArrowWriter(out, type);\n-      for (int row = 0; row < in.getRowCount(); row++) {\n-        var value = (org.apache.flink.table.data.RowData) udf.generated.evalRow(reader.read(row));\n-        if (value != null) writer.write(value);\n-      }\n+      udf.generated.evalBatch(reader, writer, in.getRowCount());\n       writer.finish();\n       return out;\n     } catch (Throwable failure) {\ndiff --git a/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java b/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\nindex 973626bd..387c0fa7 100644\n--- a/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\n+++ b/src/main/java/tech/streamfusion/planner/FlinkExpressionFunction.java\n@@ -29,6 +29,18 @@ public final class FlinkExpressionFunction extends ScalarFunction\n   public interface Evaluator extends Function {\n     Object eval(RowData input) throws Exception;\n \n+    /** Compatibility path for serialized evaluators generated before batch evaluation. */\n+    default void evalBatch(\n+        tech.streamfusion.arrow.ArrowReader reader,\n+        tech.streamfusion.arrow.ArrowWriter<RowData> writer,\n+        int rows)\n+        throws Exception {\n+      for (int row = 0; row < rows; row++) {\n+        RowData value = (RowData) eval(reader.read(row));\n+        if (value != null) writer.write(value);\n+      }\n+    }\n+\n     default void bindProcessingTime(ProcessingTimeService service) {}\n \n     void open(FunctionContext context) throws Exception;\n@@ -148,6 +160,15 @@ public final class FlinkExpressionFunction extends ScalarFunction\n     return evaluator.eval(row);\n   }\n \n+  /** Keep the row loop inside generated code, where the evaluator's concrete type is known. */\n+  public void evalBatch(\n+      tech.streamfusion.arrow.ArrowReader reader,\n+      tech.streamfusion.arrow.ArrowWriter<RowData> writer,\n+      int rows)\n+      throws Exception {\n+    evaluator.evalBatch(reader, writer, rows);\n+  }\n+\n   private void setArgument(int position, Object value) {\n     if (value instanceof String) {\n       String text = ((String) value);\ndiff --git a/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java b/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\nindex df5ae8c5..abd2cc10 100644\n--- a/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\n+++ b/src/main/java/tech/streamfusion/planner/FlinkExpressionGenerator.java\n@@ -392,7 +392,7 @@ final class FlinkExpressionGenerator {\n             true,\n             false,\n             true);\n-    return new Body(context, \"rowResult = null;\\n\" + process + \"\\nreturn rowResult;\\n\", resultType);\n+    return new Body(context, process, resultType);\n   }\n \n   private static FlinkExpressionFunction generate(\n@@ -464,8 +464,23 @@ final class FlinkExpressionGenerator {\n             + \" input) throws Exception {\\n\"\n             + context.reusePerRecordCode()\n             + context.reuseLocalVariableCode(context.reuseLocalVariableCode$default$1())\n-            + body.code()\n+            + (rowResultType == null\n+                ? body.code()\n+                : \"rowResult = null;\\n\" + body.code() + \"\\nreturn rowResult;\\n\")\n             + \"}\\n\"\n+            + (rowResultType == null\n+                ? \"\"\n+                : \"public void evalBatch(\"\n+                    + \"tech.streamfusion.arrow.ArrowReader reader, \"\n+                    + \"tech.streamfusion.arrow.ArrowWriter writer, int rows) throws Exception {\\n\"\n+                    + \"for (int row = 0; row < rows; row++) {\\n\"\n+                    + RowData.class.getCanonicalName()\n+                    + \" input = reader.read(row);\\n\"\n+                    + context.reusePerRecordCode()\n+                    + context.reuseLocalVariableCode(context.reuseLocalVariableCode$default$1())\n+                    + \"rowResult = null;\\n\"\n+                    + body.code()\n+                    + \"\\nif (rowResult != null) writer.write(rowResult);\\n}\\n}\\n\")\n             + \"public void close() throws Exception {\\n\"\n             + context.reuseCloseCode()\n             + \"}\\n\"\n"
  },
  "validation": [
    {
      "flink": "2.2.1",
      "build_success": true,
      "tests": 223,
      "classes": [
        {
          "class_name": "tech.streamfusion.planner.GeneratedRowCalcOwnershipTest",
          "tests": 7,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.planner.GeneratedTemporalRowDispatchTest",
          "tests": 8,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.planner.GeneratedExpressionDispatchTest",
          "tests": 5,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkCalcExceptionOrderSqlHarnessTest",
          "tests": 67,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.operator.NativeUdfBindingTest",
          "tests": 11,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.operator.NativeUdfFailureReleaseTest",
          "tests": 1,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkCoalesceEvaluationSqlHarnessTest",
          "tests": 25,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkSharedUdfOrderSqlHarnessTest",
          "tests": 32,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkSharedBinaryUdfSqlHarnessTest",
          "tests": 39,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfLifecycleSqlHarnessTest",
          "tests": 6,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfSqlHarnessTest",
          "tests": 2,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfIdentitySqlHarnessTest",
          "tests": 11,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfExactTypesSqlHarnessTest",
          "tests": 9,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        }
      ],
      "source_log_sha256": "08cb11425e4e9f937d44642249e036fd6e327cd629231397b93f59906bff73fc",
      "native_library_sha256": "2dfd4fd4c824f3aafef9be3c2c872fcb8e0065ba66a6e09261c25b616abcbb02",
      "includes_javadoc_check": true
    },
    {
      "flink": "1.18.1",
      "build_success": true,
      "tests": 223,
      "classes": [
        {
          "class_name": "tech.streamfusion.planner.GeneratedRowCalcOwnershipTest",
          "tests": 7,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.planner.GeneratedTemporalRowDispatchTest",
          "tests": 8,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.planner.GeneratedExpressionDispatchTest",
          "tests": 5,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkCalcExceptionOrderSqlHarnessTest",
          "tests": 67,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.operator.NativeUdfBindingTest",
          "tests": 11,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.operator.NativeUdfFailureReleaseTest",
          "tests": 1,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkCoalesceEvaluationSqlHarnessTest",
          "tests": 25,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkSharedUdfOrderSqlHarnessTest",
          "tests": 32,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkSharedBinaryUdfSqlHarnessTest",
          "tests": 39,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfLifecycleSqlHarnessTest",
          "tests": 6,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfSqlHarnessTest",
          "tests": 2,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfIdentitySqlHarnessTest",
          "tests": 11,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        },
        {
          "class_name": "tech.streamfusion.FlinkUdfExactTypesSqlHarnessTest",
          "tests": 9,
          "failures": 0,
          "errors": 0,
          "skipped": 0
        }
      ],
      "source_log_sha256": "2e8887c5515114c9e63a879e28e2fbc90217a5370dcb392d8d784c008049ff19",
      "native_library_sha256": "2dfd4fd4c824f3aafef9be3c2c872fcb8e0065ba66a6e09261c25b616abcbb02",
      "includes_javadoc_check": true
    },
    {
      "flink": "2.2.1",
      "suite": "GeneratedExpressionRuntimeIsolationTest",
      "build_success": true,
      "tests": 6,
      "description": "serialized workers execute without planner/Calcite",
      "source_log_sha256": "88623bc817fb83744b04d1212e8cc23429cce7598b55ffc4d9dec1274975e768"
    },
    {
      "flink": "1.18.1",
      "suite": "GeneratedExpressionRuntimeIsolationTest",
      "build_success": true,
      "tests": 6,
      "description": "serialized workers execute without planner/Calcite",
      "source_log_sha256": "001296d367e07d3c8dff8ab7a5358dd4c415d3f3de7c2394be5f2cabedc1d199"
    }
  ]
}