nastra commented on a change in pull request #3023:
URL: https://github.com/apache/iceberg/pull/3023#discussion_r712791299



##########
File path: 
arrow/src/main/java/org/apache/iceberg/arrow/DictEncodedArrowConverter.java
##########
@@ -0,0 +1,64 @@
+/*
+ * 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.iceberg.arrow;
+
+import java.math.BigDecimal;
+import org.apache.arrow.vector.DecimalVector;
+import org.apache.arrow.vector.FieldVector;
+import org.apache.iceberg.arrow.vectorized.ArrowVectorAccessor;
+import org.apache.iceberg.arrow.vectorized.VectorHolder;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.types.Types;
+
+/**
+ * This converts dictionary encoded arrow vectors to a correctly typed arrow 
vector.
+ */
+public class DictEncodedArrowConverter {
+
+  private DictEncodedArrowConverter() {
+  }
+
+  public static FieldVector toArrowVector(VectorHolder vectorHolder, 
ArrowVectorAccessor<?, String, ?, ?> accessor) {
+    Preconditions.checkArgument(null != vectorHolder, "VectorHolder cannot be 
null");
+    Preconditions.checkArgument(null != accessor, "ArrowVectorAccessor cannot 
be null");
+    // TODO: add conversions for other types 
(https://github.com/apache/iceberg/issues/2484)
+    if (vectorHolder.isDictionaryEncoded()) {
+      if (Type.TypeID.DECIMAL.equals(vectorHolder.icebergType().typeId())) {
+        int precision = ((Types.DecimalType) 
vectorHolder.icebergType()).precision();
+        int scale = ((Types.DecimalType) vectorHolder.icebergType()).scale();
+
+        DecimalVector decimalVector = new DecimalVector(
+            vectorHolder.vector().getName(),
+            
ArrowSchemaUtil.convert(vectorHolder.icebergField()).getFieldType(),
+            vectorHolder.vector().getAllocator());

Review comment:
       I was thinking about the same approach as you suggested when I was 
implementing this. However, when we reach this point, the `ArrowVectorAccessor` 
in this particular case is a `DictionaryDecimalIntAccessor` which holds an 
`IntVector` and not a `DecimalVector`, so we can't just pass the correct vector 
(or maybe I'm misunderstanding by what you mean with "just pass the correct 
vector"). 
   
   In order to initialize the correct arrow vector (`DecimalVector` in this 
particular case), it's not enough to just know the `Type`. We actually need to 
know the entire `NestedField` to know if it's a required/optional field, hence 
the change around changing from `Type` to `NestedField` in the `VectorHolder`.




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