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Posted to commits@doris.apache.org by "brody715 (via GitHub)" <gi...@apache.org> on 2023/04/07 11:35:41 UTC

[GitHub] [doris] brody715 commented on a diff in pull request #18231: [feature](array_cum_sum) Support array_cum_sum function

brody715 commented on code in PR #18231:
URL: https://github.com/apache/doris/pull/18231#discussion_r1160643401


##########
be/src/vec/functions/array/function_array_cum_sum.cpp:
##########
@@ -0,0 +1,255 @@
+// 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.
+// This file is copied from
+// https://github.com/ClickHouse/ClickHouse/blob/master/src/Functions/array/arrayCumSum.cpp
+// and modified by Doris
+
+#include "vec/columns/column.h"
+#include "vec/columns/column_array.h"
+#include "vec/core/types.h"
+#include "vec/data_types/data_type.h"
+#include "vec/data_types/data_type_array.h"
+#include "vec/data_types/data_type_decimal.h"
+#include "vec/data_types/data_type_nullable.h"
+#include "vec/data_types/data_type_number.h"
+#include "vec/functions/function.h"
+#include "vec/functions/simple_function_factory.h"
+#include "vec/utils/util.hpp"
+
+namespace doris::vectorized {
+
+// array_cum_sum([1, 2, 3, 4, 5]) -> [1, 3, 6, 10, 15]
+// array_cum_sum([1, NULL, 3, NULL, 5]) -> [1, NULL, 4, NULL, 9]
+class FunctionArrayCumSum : public IFunction {
+public:
+    using NullMapType = PaddedPODArray<UInt8>;
+
+    static constexpr auto name = "array_cum_sum";
+
+    static FunctionPtr create() { return std::make_shared<FunctionArrayCumSum>(); }
+
+    String get_name() const override { return name; }
+
+    bool is_variadic() const override { return false; }
+
+    size_t get_number_of_arguments() const override { return 1; }
+
+    DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
+        DCHECK(is_array(arguments[0]))
+                << "argument for function: " << name << " should be DataTypeArray but it has type "
+                << arguments[0]->get_name() << ".";
+        auto nested_type = assert_cast<const DataTypeArray&>(*(arguments[0])).get_nested_type();
+        bool is_nullable = nested_type->is_nullable();
+
+        auto non_null_nested_type = remove_nullable(nested_type);
+        auto scale = get_decimal_scale(*non_null_nested_type);
+        WhichDataType which(non_null_nested_type);
+        //return type is promoted to prevent result overflow
+        //like: input is int32 ---> return type will be int64
+        DataTypePtr return_type = nullptr;
+
+        // same cast logic as array_sum
+        if (which.is_uint8() || which.is_int8() || which.is_uint16() || which.is_int16() ||
+            which.is_uint32() || which.is_int32() || which.is_int64() || which.is_uint64()) {
+            return_type = std::make_shared<DataTypeInt64>();
+        } else if (which.is_int128()) {
+            return_type = std::make_shared<DataTypeInt128>();
+        } else if (which.is_float32() || which.is_float64()) {
+            return_type = std::make_shared<DataTypeFloat64>();
+        } else if (which.is_decimal128() && !which.is_decimal128i()) {
+            // decimalv2
+            return_type = std::make_shared<DataTypeDecimal<Decimal128>>(
+                    DataTypeDecimal<Decimal128>::max_precision(), scale);
+        } else if (which.is_decimal()) {
+            return_type = std::make_shared<DataTypeDecimal<Decimal128I>>(
+                    DataTypeDecimal<Decimal128I>::max_precision(), scale);
+        }
+        if (return_type) {
+            return std::make_shared<DataTypeArray>(is_nullable ? make_nullable(return_type)
+                                                               : return_type);
+        } else {
+            LOG(FATAL) << "Function of " << name
+                       << " return type get wrong: and input argument is: "
+                       << arguments[0]->get_name();
+        }
+
+        return nullptr;
+    }
+
+    Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
+                        const size_t result, size_t input_rows_count) override {
+        auto src_arg = block.get_by_position(arguments[0]);
+        ColumnPtr src_column = src_arg.column->convert_to_full_column_if_const();
+
+        const auto& src_column_array = check_and_get_column<ColumnArray>(src_column.get());
+        if (!src_column_array) {
+            return Status::RuntimeError(
+                    fmt::format("unsupported types for function {}({})", get_name(),
+                                block.get_by_position(arguments[0]).type->get_name()));
+        }
+
+        const auto& src_offsets = src_column_array->get_offsets();
+        const auto* src_nested_column = &src_column_array->get_data();
+        DCHECK(src_nested_column != nullptr);
+
+        // get src nested column
+        auto src_nested_type = assert_cast<const DataTypeArray&>(*src_arg.type).get_nested_type();
+
+        // get null map
+        const NullMapType* src_null_map = nullptr;
+        if (src_nested_column->is_nullable()) {

Review Comment:
   Ok, I remove the check, and modify the source code



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