fix nereid

be/src/vec/exprs/lambda_function/lambda_function_factory.h

@@ -28,7 +28,6 @@ class LambdaFunctionFactory;
 
 void register_function_array_map(LambdaFunctionFactory& factory);
 void register_function_array_filter(LambdaFunctionFactory& factory);
-void register_function_array_match(LambdaFunctionFactory& factory);
 
 class LambdaFunctionFactory {
     using Creator = std::function<LambdaFunctionPtr()>;
@@ -63,7 +62,6 @@ class LambdaFunctionFactory {
         std::call_once(oc, []() {
             register_function_array_map(instance);
             register_function_array_filter(instance);
-            register_function_array_match(instance);
         });
         return instance;
     }

be/src/vec/functions/array/function_array_register.cpp

@@ -57,6 +57,7 @@ void register_function_array_count(SimpleFunctionFactory&);
 void register_function_array_filter_function(SimpleFunctionFactory&);
 void register_function_array_splits(SimpleFunctionFactory&);
 void register_function_array_contains_all(SimpleFunctionFactory&);
+void register_function_array_match(SimpleFunctionFactory&);
 
 void register_function_array(SimpleFunctionFactory& factory) {
     register_function_array_shuffle(factory);
@@ -94,6 +95,7 @@ void register_function_array(SimpleFunctionFactory& factory) {
     register_function_array_filter_function(factory);
     register_function_array_splits(factory);
     register_function_array_contains_all(factory);
+    register_function_array_match(factory);
 }
 
 } // namespace doris::vectorized

be/src/vec/functions/array/varray_match_function.cpp

@@ -0,0 +1,145 @@
+// 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 <vec/functions/simple_function_factory.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/utils/util.hpp"
+
+namespace doris::vectorized {
+
+///* bool array_match_all/any(array<boolean>) *///
+template <bool MATCH_ALL>
+class ArrayMatchFunction : public IFunction {
+public:
+    static constexpr auto name = MATCH_ALL ? "array_match_all" : "array_match_any";
+    static FunctionPtr create() { return std::make_shared<ArrayMatchFunction>(); }
+
+    std::string get_name() const override { return name; }
+
+    bool is_variadic() const override { return false; }
+
+    size_t get_number_of_arguments() const override { return 1; }
+
+    bool is_use_default_implementation_for_constants() const override { return false; }
+
+    bool use_default_implementation_for_nulls() const override { return false; }
+
+    DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
+        return make_nullable(std::make_shared<DataTypeUInt8>());
+    }
+
+    Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
+                        size_t result, size_t input_rows_count) const override {
+        // here is executed by array_map filtered and arg[0] is bool result column
+        const auto& [src_column, src_const] =
+                unpack_if_const(block.get_by_position(arguments[0]).column);
+        const ColumnArray* array_column = nullptr;
+        const UInt8* array_null_map = nullptr;
+        if (src_column->is_nullable()) {
+            auto nullable_array = assert_cast<const ColumnNullable*>(src_column.get());
+            array_column = assert_cast<const ColumnArray*>(&nullable_array->get_nested_column());
+            array_null_map = nullable_array->get_null_map_column().get_data().data();
+        } else {
+            array_column = assert_cast<const ColumnArray*>(src_column.get());
+        }
+
+        if (!array_column) {
+            return Status::RuntimeError("unsupported types for function {}({})", get_name(),
+                                        block.get_by_position(arguments[0]).type->get_name());
+        }
+
+        const auto& offsets = array_column->get_offsets();
+        ColumnPtr nested_column = nullptr;
+        const UInt8* nested_null_map = nullptr;
+        if (array_column->get_data().is_nullable()) {
+            const auto& nested_null_column =
+                    assert_cast<const ColumnNullable&>(array_column->get_data());
+            nested_null_map = nested_null_column.get_null_map_column().get_data().data();
+            nested_column = nested_null_column.get_nested_column_ptr();
+        } else {
+            nested_column = array_column->get_data_ptr();
+        }
+
+        if (!nested_column) {
+            return Status::RuntimeError("unsupported types for function {}({})", get_name(),
+                                        block.get_by_position(arguments[0]).type->get_name());
+        }
+
+        const auto& nested_data = assert_cast<const ColumnUInt8&>(*nested_column).get_data();
+
+        // result is nullable bool column for every array column
+        auto result_data_column = ColumnUInt8::create(input_rows_count, 1);
+        auto result_null_column = ColumnUInt8::create(input_rows_count, 0);
+
+        // iterate over all arrays with bool elements
+        for (int row = 0; row < input_rows_count; ++row) {
+            if (array_null_map && array_null_map[row]) {
+                // current array is null, this is always null
+                result_null_column->get_data()[row] = 1;
+                result_data_column->get_data()[row] = 0;
+            } else {
+                // we should calculate the bool result for current array
+                // has_null in current array
+                bool has_null_elem = false;
+                // res for current array
+                bool res_for_array = MATCH_ALL;
+                for (auto off = offsets[row - 1]; off < offsets[row]; ++off) {
+                    if (nested_null_map && nested_null_map[off]) {
+                        has_null_elem = true;
+                    } else {
+                        if (nested_data[off] != MATCH_ALL) { // not match
+                            res_for_array = !MATCH_ALL;
+                            break;
+                        } // default is MATCH_ALL
+                    }
+                }
+                result_null_column->get_data()[row] = has_null_elem && res_for_array == MATCH_ALL;
+                result_data_column->get_data()[row] = res_for_array;
+            }
+        }
+
+        // insert the result column to block
+        DCHECK(block.get_by_position(result).type->is_nullable());
+        ColumnPtr dst_column = ColumnNullable::create(std::move(result_data_column),
+                                                      std::move(result_null_column));
+        block.replace_by_position(result, std::move(dst_column));
+        return Status::OK();
+    }
+};
+
+void register_function_array_match(SimpleFunctionFactory& factory) {
+    factory.register_function<ArrayMatchFunction<true>>(); // MATCH_ALL = true means array_match_all
+    factory.register_function<
+            ArrayMatchFunction<false>>(); // MATCH_ALL = false means array_match_any
+}
+} // namespace doris::vectorized

fe/fe-core/src/main/java/org/apache/doris/analysis/LambdaFunctionCallExpr.java

@@ -46,8 +46,8 @@ public class LambdaFunctionCallExpr extends FunctionCallExpr {
     public static final ImmutableSet<String> LAMBDA_MAPPED_FUNCTION_SET = new ImmutableSortedSet.Builder(
             String.CASE_INSENSITIVE_ORDER).add("array_exists").add("array_sortby")
             .add("array_first_index").add("array_last_index").add("array_first").add("array_last").add("array_count")
-            .add("element_at").add("array_split").add("array_reverse_split")
-            .build();
+            .add("element_at").add("array_split").add("array_reverse_split").add("array_match_any")
+            .add("array_match_all").build();
 
     private static final Logger LOG = LogManager.getLogger(LambdaFunctionCallExpr.class);
 

fe/fe-core/src/main/java/org/apache/doris/catalog/BuiltinScalarFunctions.java

@@ -510,8 +510,8 @@ public class BuiltinScalarFunctions implements FunctionHelper {
             scalar(ArrayMap.class, "array_map"),
             scalar(ArrayMax.class, "array_max"),
             scalar(ArrayMin.class, "array_min"),
-            scalar(ArrayMatchAll.class, "array_match_all"),
             scalar(ArrayMatchAny.class, "array_match_any"),
+            scalar(ArrayMatchAll.class, "array_match_all"),
             scalar(ArrayPopBack.class, "array_popback"),
             scalar(ArrayPopFront.class, "array_popfront"),
             scalar(ArrayPosition.class, "array_position"),