317 lines
12 KiB
C++
317 lines
12 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "vec/function/function_test_util.h"
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namespace doris::vectorized {
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int64_t str_to_date_time(std::string datetime_str, bool data_time) {
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VecDateTimeValue v;
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v.from_date_str(datetime_str.c_str(), datetime_str.size());
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if (data_time) { //bool data_time only to simplifly means data_time or data to cast, just use in time-functions uint test
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v.to_datetime();
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} else {
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v.cast_to_date();
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}
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return binary_cast<VecDateTimeValue, Int64>(v);
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}
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size_t type_index_to_data_type(const std::vector<std::any>& input_types, size_t index,
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doris_udf::FunctionContext::TypeDesc& desc, DataTypePtr& type) {
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if (index < 0 || index >= input_types.size()) {
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return -1;
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}
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TypeIndex tp;
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if (input_types[index].type() == typeid(Consted)) {
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tp = std::any_cast<Consted>(input_types[index]).tp;
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} else {
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tp = std::any_cast<TypeIndex>(input_types[index]);
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}
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switch (tp) {
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case TypeIndex::String:
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desc.type = doris_udf::FunctionContext::TYPE_STRING;
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type = std::make_shared<DataTypeString>();
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return 1;
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case TypeIndex::BitMap:
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desc.type = doris_udf::FunctionContext::TYPE_OBJECT;
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type = std::make_shared<DataTypeBitMap>();
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return 1;
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case TypeIndex::Int8:
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desc.type = doris_udf::FunctionContext::TYPE_TINYINT;
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type = std::make_shared<DataTypeInt8>();
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return 1;
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case TypeIndex::Int16:
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desc.type = doris_udf::FunctionContext::TYPE_SMALLINT;
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type = std::make_shared<DataTypeInt16>();
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return 1;
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case TypeIndex::Int32:
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desc.type = doris_udf::FunctionContext::TYPE_INT;
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type = std::make_shared<DataTypeInt32>();
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return 1;
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case TypeIndex::Int64:
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desc.type = doris_udf::FunctionContext::TYPE_BIGINT;
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type = std::make_shared<DataTypeInt64>();
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return 1;
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case TypeIndex::Int128:
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desc.type = doris_udf::FunctionContext::TYPE_LARGEINT;
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type = std::make_shared<DataTypeInt128>();
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return 1;
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case TypeIndex::Float32:
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desc.type = doris_udf::FunctionContext::TYPE_FLOAT;
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type = std::make_shared<DataTypeFloat32>();
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return 1;
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case TypeIndex::Float64:
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desc.type = doris_udf::FunctionContext::TYPE_DOUBLE;
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type = std::make_shared<DataTypeFloat64>();
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return 1;
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case TypeIndex::Decimal128:
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desc.type = doris_udf::FunctionContext::TYPE_DECIMALV2;
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type = std::make_shared<DataTypeDecimal<Decimal128>>();
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return 1;
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case TypeIndex::DateTime:
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desc.type = doris_udf::FunctionContext::TYPE_DATETIME;
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type = std::make_shared<DataTypeDateTime>();
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return 1;
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case TypeIndex::Date:
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desc.type = doris_udf::FunctionContext::TYPE_DATE;
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type = std::make_shared<DataTypeDate>();
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return 1;
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case TypeIndex::Array: {
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desc.type = doris_udf::FunctionContext::TYPE_ARRAY;
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doris_udf::FunctionContext::TypeDesc sub_desc;
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DataTypePtr sub_type = nullptr;
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size_t ret = type_index_to_data_type(input_types, index + 1, sub_desc, sub_type);
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if (ret <= 0) {
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return ret;
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}
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desc.children.push_back(doris_udf::FunctionContext::TypeDesc());
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type = std::make_shared<DataTypeArray>(std::move(sub_type));
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return ret + 1;
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}
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default:
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LOG(WARNING) << "not supported TypeIndex:" << (int)tp;
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return 0;
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}
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}
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bool parse_ut_data_type(const std::vector<std::any>& input_types, ut_type::UTDataTypeDescs& descs) {
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descs.clear();
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descs.reserve(input_types.size());
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for (size_t i = 0; i < input_types.size();) {
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ut_type::UTDataTypeDesc desc;
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if (input_types[i].type() == typeid(Consted)) {
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desc.is_const = true;
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}
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size_t res = type_index_to_data_type(input_types, i, desc.type_desc, desc.data_type);
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if (res <= 0) {
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return false;
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}
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if (desc.is_nullable) {
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desc.data_type = make_nullable(std::move(desc.data_type));
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}
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desc.col_name = "k" + std::to_string(i);
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descs.emplace_back(desc);
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i += res;
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}
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return true;
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}
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bool insert_cell(MutableColumnPtr& column, DataTypePtr type_ptr, const std::any& cell) {
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if (cell.type() == typeid(Null)) {
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column->insert_data(nullptr, 0);
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return true;
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}
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WhichDataType type(type_ptr);
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if (type.is_string()) {
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auto str = std::any_cast<ut_type::STRING>(cell);
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column->insert_data(str.c_str(), str.size());
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} else if (type.idx == TypeIndex::BitMap) {
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BitmapValue* bitmap = std::any_cast<BitmapValue*>(cell);
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column->insert_data((char*)bitmap, sizeof(BitmapValue));
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} else if (type.is_int8()) {
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auto value = std::any_cast<ut_type::TINYINT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_int16()) {
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auto value = std::any_cast<ut_type::SMALLINT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_int32()) {
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auto value = std::any_cast<ut_type::INT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_int64()) {
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auto value = std::any_cast<ut_type::BIGINT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_int128()) {
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auto value = std::any_cast<ut_type::LARGEINT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_float32()) {
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auto value = std::any_cast<ut_type::FLOAT>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_float64()) {
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auto value = std::any_cast<ut_type::DOUBLE>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_float64()) {
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auto value = std::any_cast<ut_type::DOUBLE>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_decimal128()) {
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auto value = std::any_cast<Decimal<Int128>>(cell);
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column->insert_data(reinterpret_cast<char*>(&value), 0);
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} else if (type.is_date_time()) {
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static std::string date_time_format("%Y-%m-%d %H:%i:%s");
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auto datetime_str = std::any_cast<std::string>(cell);
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VecDateTimeValue v;
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v.from_date_format_str(date_time_format.c_str(), date_time_format.size(),
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datetime_str.c_str(), datetime_str.size());
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v.to_datetime();
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column->insert_data(reinterpret_cast<char*>(&v), 0);
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} else if (type.is_date()) {
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static std::string date_time_format("%Y-%m-%d");
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auto datetime_str = std::any_cast<std::string>(cell);
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VecDateTimeValue v;
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v.from_date_format_str(date_time_format.c_str(), date_time_format.size(),
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datetime_str.c_str(), datetime_str.size());
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v.cast_to_date();
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column->insert_data(reinterpret_cast<char*>(&v), 0);
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} else if (type.is_array()) {
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auto v = std::any_cast<Array>(cell);
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column->insert(v);
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} else {
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LOG(WARNING) << "dataset not supported for TypeIndex:" << (int)type.idx;
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return false;
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}
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return true;
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}
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Block* create_block_from_inputset(const InputTypeSet& input_types, const InputDataSet& input_set) {
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// 1.0 create data type
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ut_type::UTDataTypeDescs descs;
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if (!parse_ut_data_type(input_types, descs)) {
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return nullptr;
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}
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// 1.1 insert data and create block
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auto row_size = input_set.size();
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std::unique_ptr<Block> block(new Block());
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for (size_t i = 0; i < descs.size(); ++i) {
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auto& desc = descs[i];
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auto column = desc.data_type->create_column();
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column->reserve(row_size);
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auto type_ptr = desc.data_type->is_nullable()
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? ((DataTypeNullable*)(desc.data_type.get()))->get_nested_type()
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: desc.data_type;
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WhichDataType type(type_ptr);
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for (int j = 0; j < row_size; j++) {
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if (!insert_cell(column, type_ptr, input_set[j][i])) {
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return nullptr;
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}
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}
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if (desc.is_const) {
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column = ColumnConst::create(std::move(column), row_size);
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}
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block->insert({std::move(column), desc.data_type, desc.col_name});
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}
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return block.release();
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}
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Block* process_table_function(TableFunction* fn, Block* input_block,
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const InputTypeSet& output_types) {
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// pasrse output data types
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ut_type::UTDataTypeDescs descs;
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if (!parse_ut_data_type(output_types, descs)) {
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return nullptr;
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}
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if (descs.size() != 1) {
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LOG(WARNING) << "Now table function test only support return one column";
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return nullptr;
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}
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// process table function init
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if (fn->process_init(input_block) != Status::OK()) {
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LOG(WARNING) << "TableFunction process_init failed";
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return nullptr;
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}
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// prepare output column
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vectorized::MutableColumnPtr column = descs[0].data_type->create_column();
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// process table function for all rows
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for (size_t row = 0; row < input_block->rows(); ++row) {
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if (fn->process_row(row) != Status::OK()) {
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LOG(WARNING) << "TableFunction process_row failed";
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return nullptr;
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}
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// consider outer
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if (!fn->is_outer() && fn->current_empty()) {
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continue;
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}
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bool tmp_eos = false;
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do {
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void* cell = nullptr;
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int64_t cell_len = 0;
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if (fn->get_value(&cell) != Status::OK() ||
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fn->get_value_length(&cell_len) != Status::OK()) {
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LOG(WARNING) << "TableFunction get_value or get_value_length failed";
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return nullptr;
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}
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// copy data from input block
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if (cell == nullptr) {
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column->insert_default();
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} else {
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column->insert_data(reinterpret_cast<char*>(cell), cell_len);
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}
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fn->forward(&tmp_eos);
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} while (!tmp_eos);
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}
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std::unique_ptr<Block> output_block(new Block());
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output_block->insert({std::move(column), descs[0].data_type, descs[0].col_name});
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return output_block.release();
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}
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void check_vec_table_function(TableFunction* fn, const InputTypeSet& input_types,
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const InputDataSet& input_set, const InputTypeSet& output_types,
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const InputDataSet& output_set) {
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std::unique_ptr<Block> input_block(create_block_from_inputset(input_types, input_set));
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EXPECT_TRUE(input_block != nullptr);
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std::unique_ptr<Block> expect_output_block(
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create_block_from_inputset(output_types, output_set));
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EXPECT_TRUE(expect_output_block != nullptr);
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std::unique_ptr<Block> real_output_block(
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process_table_function(fn, input_block.get(), output_types));
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EXPECT_TRUE(real_output_block != nullptr);
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// compare real_output_block with expect_output_block
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EXPECT_EQ(expect_output_block->columns(), real_output_block->columns());
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EXPECT_EQ(expect_output_block->rows(), real_output_block->rows());
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for (size_t col = 0; col < expect_output_block->columns(); ++col) {
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auto left_col = expect_output_block->get_by_position(col).column;
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auto right_col = real_output_block->get_by_position(col).column;
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for (size_t row = 0; row < expect_output_block->rows(); ++row) {
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EXPECT_EQ(left_col->compare_at(row, row, *right_col, 0), 0);
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}
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}
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}
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} // namespace doris::vectorized
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