fix: read ARRAY<DOUBLE> through Arrow's Float8Vector

pom.xml

@@ -18,6 +18,15 @@
         <maven.compiler.source>11</maven.compiler.source>
         <maven.compiler.target>11</maven.compiler.target>
 
+        <!-- Arrow reaches java.nio.Buffer.address by reflection to get at off-heap memory.
+             JDK 17 encapsulates that, so MemoryUtil's static initializer throws a
+             RuntimeException naming this exact flag. On JDK 11 it is only an
+             illegal-reflective-access warning, and passing the flag there is harmless.
+             surefire and failsafe both read ${argLine} by default, and
+             jacoco:prepare-agent appends its -javaagent to this property rather than
+             replacing it, so the two coexist. -->
+        <argLine>--add-opens=java.base/java.nio=ALL-UNNAMED</argLine>
+
         <!-- Lance Flink Connector 版本 -->
         <lance-flink.version>0.1.0</lance-flink.version>
 

src/main/java/org/apache/flink/connector/lance/converter/RowDataConverter.java

@@ -277,13 +277,13 @@ private ArrayData readArrayData(FieldVector dataVector, int startIndex, int size
             }
             return new GenericArrayData(values);
         } else if (elementType instanceof DoubleType) {
-            Double8Vector double8Vector = (Double8Vector) dataVector;
+            Float8Vector float8Vector = (Float8Vector) dataVector;
             Double[] values = new Double[size];
             for (int i = 0; i < size; i++) {
-                if (double8Vector.isNull(startIndex + i)) {
+                if (float8Vector.isNull(startIndex + i)) {
                     values[i] = null;
                 } else {
-                    values[i] = double8Vector.get(startIndex + i);
+                    values[i] = float8Vector.get(startIndex + i);
                 }
             }
             return new GenericArrayData(values);
@@ -326,25 +326,6 @@ private ArrayData readArrayData(FieldVector dataVector, int startIndex, int size
                 "Unsupported array element type: " + elementType.getClass().getSimpleName());
     }
 
-    /**
-     * Internal class for handling Double type Vector (alias for Float8Vector)
-     */
-    private static class Double8Vector {
-        private final Float8Vector vector;
-
-        Double8Vector(FieldVector vector) {
-            this.vector = (Float8Vector) vector;
-        }
-
-        boolean isNull(int index) {
-            return vector.isNull(index);
-        }
-
-        double get(int index) {
-            return vector.get(index);
-        }
-    }
-
     /**
      * Read struct value
      */

src/test/java/org/apache/flink/connector/lance/RowDataConverterTest.java

@@ -0,0 +1,236 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.connector.lance;
+
+import org.apache.flink.connector.lance.converter.LanceTypeConverter;
+import org.apache.flink.connector.lance.converter.RowDataConverter;
+import org.apache.flink.table.data.ArrayData;
+import org.apache.flink.table.data.GenericArrayData;
+import org.apache.flink.table.data.GenericRowData;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.types.logical.ArrayType;
+import org.apache.flink.table.types.logical.DoubleType;
+import org.apache.flink.table.types.logical.FloatType;
+import org.apache.flink.table.types.logical.IntType;
+import org.apache.flink.table.types.logical.RowType;
+
+import org.apache.arrow.memory.BufferAllocator;
+import org.apache.arrow.memory.RootAllocator;
+import org.apache.arrow.vector.Float4Vector;
+import org.apache.arrow.vector.Float8Vector;
+import org.apache.arrow.vector.VectorSchemaRoot;
+import org.apache.arrow.vector.complex.FixedSizeListVector;
+import org.apache.arrow.vector.complex.ListVector;
+import org.apache.arrow.vector.types.pojo.Field;
+import org.apache.arrow.vector.types.pojo.Schema;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.DisplayName;
+import org.junit.jupiter.api.Test;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+/**
+ * Unit tests for {@link RowDataConverter} array element handling, covering both
+ * Arrow representations the connector maps to Flink arrays: variable-size List
+ * (what the converter itself writes) and FixedSizeList (Lance vector columns).
+ * Reads are pinned for double and float elements; writes (including
+ * realloc-forcing batches) for double.
+ */
+class RowDataConverterTest {
+
+    private BufferAllocator allocator;
+
+    @BeforeEach
+    void setUp() {
+        allocator = new RootAllocator(Long.MAX_VALUE);
+    }
+
+    @AfterEach
+    void tearDown() {
+        allocator.close();
+    }
+
+    @Test
+    @DisplayName("Test ARRAY<DOUBLE> write/read round-trip via List vector")
+    void testWriteThenReadArrayOfDoubleRoundTrip() {
+        RowType rowType = RowType.of(new IntType(), new ArrayType(new DoubleType()));
+        RowDataConverter converter = new RowDataConverter(rowType);
+
+        GenericRowData nullArrayRow = new GenericRowData(2);
+        nullArrayRow.setField(0, 4);
+        nullArrayRow.setField(1, null);
+
+        List<RowData> rows =
+                Arrays.asList(
+                        row(1, new Double[] {1.5, 2.5, 3.5}),
+                        row(2, new Double[] {4.5, null, 6.5}),
+                        row(3, new Double[0]),
+                        nullArrayRow);
+
+        try (VectorSchemaRoot root = converter.createVectorSchemaRoot(allocator)) {
+            converter.toVectorSchemaRoot(rows, root);
+
+            List<RowData> readBack = converter.toRowDataList(root);
+
+            assertThat(readBack).hasSize(4);
+
+            assertThat(readBack.get(0).getInt(0)).isEqualTo(1);
+            ArrayData first = readBack.get(0).getArray(1);
+            assertThat(first.size()).isEqualTo(3);
+            assertThat(first.getDouble(0)).isEqualTo(1.5);
+            assertThat(first.getDouble(1)).isEqualTo(2.5);
+            assertThat(first.getDouble(2)).isEqualTo(3.5);
+
+            assertThat(readBack.get(1).getInt(0)).isEqualTo(2);
+            ArrayData second = readBack.get(1).getArray(1);
+            assertThat(second.size()).isEqualTo(3);
+            assertThat(second.getDouble(0)).isEqualTo(4.5);
+            assertThat(second.isNullAt(1)).isTrue();
+            assertThat(second.getDouble(2)).isEqualTo(6.5);
+
+            assertThat(readBack.get(2).getInt(0)).isEqualTo(3);
+            assertThat(readBack.get(2).getArray(1).size()).isZero();
+
+            assertThat(readBack.get(3).getInt(0)).isEqualTo(4);
+            assertThat(readBack.get(3).isNullAt(1)).isTrue();
+        }
+    }
+
+    @Test
+    @DisplayName("Test FixedSizeList of double read (Lance float64 vector column)")
+    void testReadFixedSizeListOfDouble() {
+        Field embeddingField =
+                LanceTypeConverter.createFloat64VectorField("embedding", 2, true);
+        Schema schema = new Schema(Collections.singletonList(embeddingField));
+
+        ArrayType embeddingType = new ArrayType(new DoubleType());
+        RowType rowType =
+                new RowType(
+                        Collections.singletonList(
+                                new RowType.RowField("embedding", embeddingType)));
+        RowDataConverter converter = new RowDataConverter(rowType);
+
+        try (VectorSchemaRoot root = VectorSchemaRoot.create(schema, allocator)) {
+            FixedSizeListVector listVector = (FixedSizeListVector) root.getVector("embedding");
+            Float8Vector dataVector = (Float8Vector) listVector.getDataVector();
+            dataVector.setSafe(0, 0.5);
+            dataVector.setSafe(1, 1.5);
+            dataVector.setSafe(2, 2.5);
+            dataVector.setNull(3);
+            listVector.setNotNull(0);
+            listVector.setNotNull(1);
+            listVector.setNull(2);
+            root.setRowCount(3);
+
+            List<RowData> readBack = converter.toRowDataList(root);
+
+            assertThat(readBack).hasSize(3);
+            ArrayData first = readBack.get(0).getArray(0);
+            assertThat(first.size()).isEqualTo(2);
+            assertThat(first.getDouble(0)).isEqualTo(0.5);
+            assertThat(first.getDouble(1)).isEqualTo(1.5);
+            ArrayData second = readBack.get(1).getArray(0);
+            assertThat(second.getDouble(0)).isEqualTo(2.5);
+            assertThat(second.isNullAt(1)).isTrue();
+
+            assertThat(readBack.get(2).isNullAt(0)).isTrue();
+        }
+    }
+
+    @Test
+    @DisplayName("Test ARRAY<DOUBLE> write beyond the ListVector child's initial capacity")
+    void testWriteBeyondInitialListCapacity() {
+        RowType rowType = RowType.of(new IntType(), new ArrayType(new DoubleType()));
+        RowDataConverter converter = new RowDataConverter(rowType);
+
+        // 200 rows x 3 elements = 600 elements against an initial child capacity of 4:
+        // every row past the first writes beyond that capacity, and the child doubles
+        // 4 -> 8 -> ... -> 1024 across the batch, so correctness depends on setSafe's
+        // reallocation copying prior data intact.
+        List<RowData> rows = new ArrayList<>(200);
+        for (int i = 0; i < 200; i++) {
+            rows.add(row(i, new Double[] {i * 3.0, i * 3.0 + 1.0, i * 3.0 + 2.0}));
+        }
+
+        try (VectorSchemaRoot root = converter.createVectorSchemaRoot(allocator)) {
+            ListVector listVector = (ListVector) root.getVector("f1");
+            listVector.getDataVector().setInitialCapacity(4);
+
+            converter.toVectorSchemaRoot(rows, root);
+
+            List<RowData> readBack = converter.toRowDataList(root);
+            assertThat(readBack).hasSize(200);
+            for (int i : new int[] {0, 1, 99, 100, 198, 199}) {
+                ArrayData array = readBack.get(i).getArray(1);
+                assertThat(array.size()).isEqualTo(3);
+                assertThat(array.getDouble(0)).isEqualTo(i * 3.0);
+                assertThat(array.getDouble(2)).isEqualTo(i * 3.0 + 2.0);
+            }
+        }
+    }
+
+    @Test
+    @DisplayName("Test FixedSizeList of float read (Lance f32 vector column)")
+    void testReadFixedSizeListOfFloat() {
+        Field embeddingField = LanceTypeConverter.createVectorField("embedding", 2, true);
+        Schema schema = new Schema(Collections.singletonList(embeddingField));
+
+        ArrayType embeddingType = new ArrayType(new FloatType());
+        RowType rowType =
+                new RowType(
+                        Collections.singletonList(
+                                new RowType.RowField("embedding", embeddingType)));
+        RowDataConverter converter = new RowDataConverter(rowType);
+
+        try (VectorSchemaRoot root = VectorSchemaRoot.create(schema, allocator)) {
+            FixedSizeListVector listVector = (FixedSizeListVector) root.getVector("embedding");
+            Float4Vector dataVector = (Float4Vector) listVector.getDataVector();
+            dataVector.setSafe(0, 0.5f);
+            dataVector.setSafe(1, 1.5f);
+            dataVector.setSafe(2, 2.5f);
+            dataVector.setNull(3);
+            listVector.setNotNull(0);
+            listVector.setNotNull(1);
+            root.setRowCount(2);
+
+            List<RowData> readBack = converter.toRowDataList(root);
+
+            assertThat(readBack).hasSize(2);
+            ArrayData first = readBack.get(0).getArray(0);
+            assertThat(first.getFloat(0)).isEqualTo(0.5f);
+            assertThat(first.getFloat(1)).isEqualTo(1.5f);
+            ArrayData second = readBack.get(1).getArray(0);
+            assertThat(second.getFloat(0)).isEqualTo(2.5f);
+            assertThat(second.isNullAt(1)).isTrue();
+        }
+    }
+
+    private RowData row(int id, Double[] embedding) {
+        GenericRowData rowData = new GenericRowData(2);
+        rowData.setField(0, id);
+        rowData.setField(1, new GenericArrayData(embedding));
+        return rowData;
+    }
+}