amorynan commented on code in PR #40605:
URL: https://github.com/apache/doris/pull/40605#discussion_r1754228804


##########
be/src/vec/exprs/lambda_function/varray_match_function.cpp:
##########
@@ -0,0 +1,188 @@
+// 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.
+
+#include <glog/logging.h>
+
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "common/status.h"
+#include "vec/aggregate_functions/aggregate_function.h"
+#include "vec/columns/column.h"
+#include "vec/columns/column_array.h"
+#include "vec/columns/column_nullable.h"
+#include "vec/columns/column_vector.h"
+#include "vec/columns/columns_number.h"
+#include "vec/common/assert_cast.h"
+#include "vec/core/block.h"
+#include "vec/core/column_numbers.h"
+#include "vec/core/column_with_type_and_name.h"
+#include "vec/data_types/data_type.h"
+#include "vec/exprs/lambda_function/lambda_function.h"
+#include "vec/exprs/lambda_function/lambda_function_factory.h"
+#include "vec/exprs/vexpr.h"
+#include "vec/utils/util.hpp"
+
+namespace doris {
+namespace vectorized {
+class VExprContext;
+} // namespace vectorized
+} // namespace doris
+
+namespace doris::vectorized {
+
+///* bool array_match_all/any(array, array<boolean>) *///
+template <bool MATCH_ALL>
+class ArrayMatchFunction : public LambdaFunction {
+    ENABLE_FACTORY_CREATOR(ArrayMatchFunction);
+
+public:
+    ~ArrayMatchFunction() override = default;
+
+    static constexpr auto name = MATCH_ALL ? "array_match_all" : 
"array_match_any";
+
+    static LambdaFunctionPtr create() { return 
std::make_shared<ArrayMatchFunction>(); }
+
+    std::string get_name() const override { return name; }
+
+    doris::Status execute(VExprContext* context, doris::vectorized::Block* 
block,
+                          int* result_column_id, const DataTypePtr& 
result_type,
+                          const VExprSPtrs& children) override {
+        DCHECK(children.size() == 2);
+        //1. child[0:end]->execute(src_block)
+        doris::vectorized::ColumnNumbers arguments(children.size());
+        for (int i = 0; i < children.size(); ++i) {
+            int column_id = -1;
+            RETURN_IF_ERROR(children[i]->execute(context, block, &column_id));
+            arguments[i] = column_id;
+        }
+
+        //2. get second array<bool> column
+        auto first_column =
+                
block->get_by_position(arguments[0]).column->convert_to_full_column_if_const();
+
+        auto second_column =
+                
block->get_by_position(arguments[1]).column->convert_to_full_column_if_const();
+
+        int input_rows = first_column->size();
+        auto first_outside_null_map = ColumnUInt8::create(input_rows, 0);
+        auto first_arg_column = first_column;
+        if (first_arg_column->is_nullable()) {
+            first_arg_column =
+                    assert_cast<const 
ColumnNullable*>(first_column.get())->get_nested_column_ptr();
+            const auto& column_array_nullmap =
+                    assert_cast<const 
ColumnNullable*>(first_column.get())->get_null_map_column();
+            
VectorizedUtils::update_null_map(first_outside_null_map->get_data(),
+                                             column_array_nullmap.get_data());
+        }
+        const ColumnArray& first_col_array = assert_cast<const 
ColumnArray&>(*first_arg_column);
+        const auto& first_off_data =
+                assert_cast<const 
ColumnArray::ColumnOffsets&>(first_col_array.get_offsets_column())
+                        .get_data();
+        const auto& first_nested_nullable_column =
+                assert_cast<const 
ColumnNullable&>(*first_col_array.get_data_ptr());
+
+        // result is nullable bool column for every array column
+        auto result_data_column = ColumnUInt8::create(input_rows, 1);
+        auto result_null_column = ColumnUInt8::create(input_rows, 0);
+
+        auto second_arg_column = second_column;
+        auto second_outside_null_map = ColumnUInt8::create(input_rows, 0);
+        if (second_arg_column->is_nullable()) {
+            second_arg_column = assert_cast<const 
ColumnNullable*>(second_column.get())
+                                        ->get_nested_column_ptr();
+            const auto& column_array_nullmap =
+                    assert_cast<const 
ColumnNullable*>(second_column.get())->get_null_map_column();
+            
VectorizedUtils::update_null_map(second_outside_null_map->get_data(),
+                                             column_array_nullmap.get_data());
+        }
+        const ColumnArray& second_col_array = assert_cast<const 
ColumnArray&>(*second_arg_column);
+        const auto& second_off_data = assert_cast<const 
ColumnArray::ColumnOffsets&>(
+                                              
second_col_array.get_offsets_column())
+                                              .get_data();
+        const auto& second_nested_null_map_data =
+                assert_cast<const 
ColumnNullable&>(*second_col_array.get_data_ptr())
+                        .get_null_map_column()
+                        .get_data();
+        const auto& second_nested_column =
+                assert_cast<const 
ColumnNullable&>(*second_col_array.get_data_ptr())
+                        .get_nested_column();
+        const auto& second_nested_data =
+                assert_cast<const 
ColumnUInt8&>(second_nested_column).get_data();
+
+        //3. calculate result column with second bool column
+        for (int row = 0; row < input_rows; ++row) {
+            //first or second column is null, so current row is invalid data
+            if (first_outside_null_map->get_data()[row] ||
+                second_outside_null_map->get_data()[row]) {
+                result_null_column->get_data()[row] = 1;
+                result_data_column->get_data()[row] = 0;
+            } else {
+                // has_null in current array
+                bool has_null_elem = false;
+                // res for current array
+                bool res_for_array = MATCH_ALL;
+                auto first_offset_start = first_off_data[row - 1];
+                auto first_offset_end = first_off_data[row];
+                auto second_offset_start = second_off_data[row - 1];
+                auto second_offset_end = second_off_data[row];
+                auto move_off = second_offset_start;
+                for (auto off = first_offset_start;
+                     off < first_offset_end && move_off < second_offset_end; 
// not out range
+                     ++off) {
+                    if (first_nested_nullable_column.is_null_at(off)) {
+                        has_null_elem = true;
+                    } else {
+                        if (!second_nested_null_map_data[move_off] &&    // 
not null
+                            second_nested_data[move_off] != MATCH_ALL) { // 
not match
+                            res_for_array = !MATCH_ALL;
+                            break;
+                        } // default is MATCH_ALL
+                    }
+                    move_off++;
+                }
+                result_null_column->get_data()[row] = has_null_elem && 
res_for_array == MATCH_ALL;

Review Comment:
   return false



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