github-actions[bot] commented on code in PR #66538:
URL: https://github.com/apache/doris/pull/66538#discussion_r3876194808


##########
fe/fe-core/src/main/java/org/apache/doris/nereids/rules/expression/rules/RewriteDefaultExpression.java:
##########
@@ -0,0 +1,113 @@
+// 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.doris.nereids.rules.expression.rules;
+
+import org.apache.doris.catalog.Column;
+import org.apache.doris.catalog.TableIf;
+import org.apache.doris.datasource.iceberg.IcebergExternalTable;
+import org.apache.doris.datasource.iceberg.IcebergWriteSchemaContext;
+import org.apache.doris.nereids.CascadesContext;
+import org.apache.doris.nereids.analyzer.UnboundFunction;
+import org.apache.doris.nereids.exceptions.AnalysisException;
+import org.apache.doris.nereids.parser.NereidsParser;
+import org.apache.doris.nereids.rules.analysis.ExpressionAnalyzer;
+import org.apache.doris.nereids.rules.expression.ExpressionMatchingContext;
+import org.apache.doris.nereids.rules.expression.ExpressionPatternMatcher;
+import org.apache.doris.nereids.rules.expression.ExpressionPatternRuleFactory;
+import org.apache.doris.nereids.rules.expression.ExpressionRuleType;
+import org.apache.doris.nereids.trees.expressions.Default;
+import org.apache.doris.nereids.trees.expressions.Expression;
+import org.apache.doris.nereids.trees.expressions.SlotReference;
+import org.apache.doris.nereids.trees.expressions.literal.NullLiteral;
+import org.apache.doris.nereids.trees.plans.logical.LogicalPlan;
+import org.apache.doris.nereids.types.DataType;
+import org.apache.doris.nereids.util.TypeCoercionUtils;
+
+import com.google.common.collect.ImmutableList;
+
+import java.util.List;
+import java.util.Optional;
+
+/** Rewrite DEFAULT(column) to the column's resolved default value. */
+public class RewriteDefaultExpression implements ExpressionPatternRuleFactory {
+
+    public static final RewriteDefaultExpression INSTANCE = new 
RewriteDefaultExpression();
+
+    @Override
+    public List<ExpressionPatternMatcher<? extends Expression>> buildRules() {
+        return ImmutableList.of(
+                matchesType(Default.class)
+                        .thenApply(RewriteDefaultExpression::rewrite)
+                        .toRule(ExpressionRuleType.REWRITE_DEFAULT_EXPRESSION)
+        );
+    }
+
+    private static Expression rewrite(ExpressionMatchingContext<Default> 
context) {
+        Default defaultExpr = context.expr;
+        Expression child = defaultExpr.child();
+
+        if (!(child instanceof SlotReference)) {
+            throw new AnalysisException("DEFAULT requires a column reference, 
but got: " + child.toSql());
+        }
+
+        SlotReference slotRef = (SlotReference) child;
+        Optional<Column> columnOpt = slotRef.getOriginalColumn();
+        if (!columnOpt.isPresent()) {
+            throw new AnalysisException("Cannot find column information for 
DEFAULT("
+                    + slotRef.getName() + ")");
+        }
+
+        Column column = columnOpt.get();
+        DataType targetType = DataType.fromCatalogType(column.getType());
+        if (column.isGeneratedColumn()) {
+            throw new AnalysisException("DEFAULT cannot be used on generated 
column '"
+                    + column.getName() + "'");
+        }
+
+        Optional<IcebergWriteSchemaContext> icebergContext = 
context.cascadesContext
+                .getStatementContext().getIcebergWriteSchemaContext();
+        Optional<TableIf> originalTable = slotRef.getOriginalTable();

Review Comment:
   [P1] Bind INSERT-SELECT DEFAULT against the write target
   
   At this point the child is already bound in the SELECT input scope. For 
`INSERT INTO iceberg_t(id, v) SELECT id, DEFAULT(v) FROM staging_t`, `v` either 
fails binding when absent or binds `staging_t.v`; in the latter case this falls 
through to the staging column's Doris default/NULL instead of the pinned 
Iceberg write default. The positive test only self-scans `iceberg_t`, which 
makes source and target identity coincide. Pre-resolve DEFAULT nodes for 
non-inline INSERT SELECT against the write-schema context, as 
VALUES/UPDATE/MERGE do, and cover staging-table and no-FROM SELECTs.



##########
be/src/format_v2/table/iceberg_reader.cpp:
##########
@@ -336,10 +999,92 @@ std::string IcebergTableReader::debug_string() const {
     return out.str();
 }
 
+Status IcebergTableReader::_validate_required_mapping_column(
+        const format::ColumnMapping& mapping, const ColumnPtr& column,
+        const NullMap* nullable_parent_null_map) {
+    DORIS_CHECK(column.get() != nullptr);
+    DORIS_CHECK(mapping.table_type != nullptr);
+    const auto full_column = column->convert_to_full_column_if_const();
+    const IColumn* nested_column = full_column.get();
+    const NullMap* own_null_map = nullptr;
+    if (const auto* nullable = 
check_and_get_column<ColumnNullable>(*nested_column)) {
+        own_null_map = &nullable->get_null_map_data();
+        nested_column = &nullable->get_nested_column();
+        if (mapping.reject_null_value && nullable->has_null()) {
+            DORIS_CHECK(nullable_parent_null_map == nullptr ||
+                        nullable_parent_null_map->size() == 
own_null_map->size());
+            for (size_t row = 0; row < own_null_map->size(); ++row) {
+                if ((*own_null_map)[row] != 0 && (nullable_parent_null_map == 
nullptr ||
+                                                  
(*nullable_parent_null_map)[row] == 0)) {
+                    return Status::InvalidArgument("Required Iceberg field 
'{}' contains NULL",
+                                                   mapping.table_column_name);
+                }
+            }
+        }
+    }
+    if (mapping.child_mappings.empty()) {
+        return Status::OK();
+    }
+
+    NullMap combined_parent_null_map;
+    const NullMap* descendant_parent_null_map = nullable_parent_null_map;
+    if (own_null_map != nullptr) {
+        descendant_parent_null_map = own_null_map;
+        if (nullable_parent_null_map != nullptr) {
+            DORIS_CHECK(nullable_parent_null_map->size() == 
own_null_map->size());
+            combined_parent_null_map.resize(own_null_map->size());
+            for (size_t row = 0; row < own_null_map->size(); ++row) {
+                combined_parent_null_map[row] =
+                        (*own_null_map)[row] || 
(*nullable_parent_null_map)[row];
+            }
+            descendant_parent_null_map = &combined_parent_null_map;
+        }
+    }
+
+    const auto table_type = remove_nullable(mapping.table_type);
+    switch (table_type->get_primitive_type()) {
+    case TYPE_STRUCT: {
+        const auto& struct_column = assert_cast<const 
ColumnStruct&>(*nested_column);
+        DORIS_CHECK(mapping.child_mappings.size() == 
struct_column.tuple_size());
+        for (size_t child = 0; child < mapping.child_mappings.size(); ++child) 
{
+            
RETURN_IF_ERROR(_validate_required_mapping_column(mapping.child_mappings[child],

Review Comment:
   [P1] Match struct validation by table child identity
   
   `_materialize_struct_mapping_column()` reorders child mappings into 
`DataTypeStruct` order before building the `ColumnStruct`, but this loop zips 
that reordered tuple with raw `mapping.child_mappings`. Partial access paths 
are stored lexically, so a schema-order `STRUCT<z optional, a required>` can 
produce mappings `[a,z]` and columns `[z,a]`; requiredness for `a` is then 
checked on `z`, allowing NULL `a` through or rejecting a valid NULL `z`. 
Reorder mappings here with the same table-order helper and add an 
opposite-requiredness partial-projection regression, including a struct nested 
under ARRAY/MAP.



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