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528eaadaf75e0cc0ed3084d7a257ac417ebdfbd3
doris/be/test/vec/function/function_test_util.cpp
Benjaminwei cf72fa82e2 [Improve](explode) explode function support multi param (#50310) 
### What problem does this PR solve?
backport:https://github.com/apache/doris/pull/48537
Issue Number: close #xxx

Related PR: #xxx

Problem Summary:

### Release note

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    - [ ] No need to test or manual test. Explain why:
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        - [ ] Previous test can cover this change.
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- Behavior changed:
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    - [ ] Yes. <!-- Explain the behavior change -->

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2025-04-23 23:27:07 +08:00

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// 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/function/function_test_util.h"
#include <glog/logging.h>
#include <iostream>
#include "runtime/jsonb_value.h"
#include "runtime/runtime_state.h"
#include "util/binary_cast.hpp"
#include "util/bitmap_value.h"
#include "vec/core/types.h"
#include "vec/data_types/data_type_array.h"
#include "vec/data_types/data_type_bitmap.h"
#include "vec/data_types/data_type_date.h"
#include "vec/data_types/data_type_date_time.h"
#include "vec/data_types/data_type_decimal.h"
#include "vec/data_types/data_type_ipv4.h"
#include "vec/data_types/data_type_ipv6.h"
#include "vec/data_types/data_type_jsonb.h"
#include "vec/data_types/data_type_map.h"
#include "vec/data_types/data_type_string.h"
#include "vec/data_types/data_type_struct.h"
#include "vec/data_types/data_type_time_v2.h"
#include "vec/exprs/table_function/table_function.h"
#include "vec/runtime/vdatetime_value.h"
namespace doris::vectorized {
int64_t str_to_date_time(std::string datetime_str, bool data_time) {
VecDateTimeValue v;
v.from_date_str(datetime_str.c_str(), datetime_str.size());
if (data_time) { //bool data_time only to simplify means data_time or data to cast, just use in time-functions uint test
v.to_datetime();
} else {
v.cast_to_date();
}
return binary_cast<VecDateTimeValue, Int64>(v);
}
uint32_t str_to_date_v2(std::string datetime_str, std::string datetime_format) {
DateV2Value<DateV2ValueType> v;
v.from_date_format_str(datetime_format.c_str(), datetime_format.size(), datetime_str.c_str(),
datetime_str.size());
return binary_cast<DateV2Value<DateV2ValueType>, UInt32>(v);
}
uint64_t str_to_datetime_v2(std::string datetime_str, std::string datetime_format) {
DateV2Value<DateTimeV2ValueType> v;
v.from_date_format_str(datetime_format.c_str(), datetime_format.size(), datetime_str.c_str(),
datetime_str.size());
return binary_cast<DateV2Value<DateTimeV2ValueType>, UInt64>(v);
}
size_t type_index_to_data_type(const std::vector<AnyType>& input_types, size_t index,
ut_type::UTDataTypeDesc& ut_desc, DataTypePtr& type) {
doris::TypeDescriptor& desc = ut_desc.type_desc;
if (index >= input_types.size()) {
return -1;
}
TypeIndex tp;
if (input_types[index].type() == &typeid(Consted)) {
tp = any_cast<Consted>(input_types[index]).tp;
} else if (input_types[index].type() == &typeid(ConstedNotnull)) {
tp = any_cast<ConstedNotnull>(input_types[index]).tp;
ut_desc.is_nullable = false;
} else if (input_types[index].type() == &typeid(Nullable)) {
tp = any_cast<Nullable>(input_types[index]).tp;
ut_desc.is_nullable = true;
} else if (input_types[index].type() == &typeid(Notnull)) {
tp = any_cast<Notnull>(input_types[index]).tp;
ut_desc.is_nullable = false;
} else {
tp = any_cast<TypeIndex>(input_types[index]);
}
switch (tp) {
case TypeIndex::String:
desc.type = doris::PrimitiveType::TYPE_STRING;
type = std::make_shared<DataTypeString>();
return 1;
case TypeIndex::JSONB:
desc.type = doris::PrimitiveType::TYPE_JSONB;
type = std::make_shared<DataTypeJsonb>();
return 1;
case TypeIndex::BitMap:
desc.type = doris::PrimitiveType::TYPE_OBJECT;
type = std::make_shared<DataTypeBitMap>();
return 1;
case TypeIndex::IPv4:
desc.type = doris::PrimitiveType::TYPE_IPV4;
type = std::make_shared<DataTypeIPv4>();
return 1;
case TypeIndex::IPv6:
desc.type = doris::PrimitiveType::TYPE_IPV6;
type = std::make_shared<DataTypeIPv6>();
return 1;
case TypeIndex::UInt8:
desc.type = doris::PrimitiveType::TYPE_BOOLEAN;
type = std::make_shared<DataTypeUInt8>();
return 1;
case TypeIndex::Int8:
desc.type = doris::PrimitiveType::TYPE_TINYINT;
type = std::make_shared<DataTypeInt8>();
return 1;
case TypeIndex::Int16:
desc.type = doris::PrimitiveType::TYPE_SMALLINT;
type = std::make_shared<DataTypeInt16>();
return 1;
case TypeIndex::Int32:
desc.type = doris::PrimitiveType::TYPE_INT;
type = std::make_shared<DataTypeInt32>();
return 1;
case TypeIndex::Int64:
desc.type = doris::PrimitiveType::TYPE_BIGINT;
type = std::make_shared<DataTypeInt64>();
return 1;
case TypeIndex::Int128:
desc.type = doris::PrimitiveType::TYPE_LARGEINT;
type = std::make_shared<DataTypeInt128>();
return 1;
case TypeIndex::Float32:
desc.type = doris::PrimitiveType::TYPE_FLOAT;
type = std::make_shared<DataTypeFloat32>();
return 1;
case TypeIndex::Float64:
desc.type = doris::PrimitiveType::TYPE_DOUBLE;
type = std::make_shared<DataTypeFloat64>();
return 1;
case TypeIndex::Decimal128V2:
desc.type = doris::PrimitiveType::TYPE_DECIMALV2;
type = std::make_shared<DataTypeDecimal<Decimal128V2>>();
return 1;
case TypeIndex::DateTime:
desc.type = doris::PrimitiveType::TYPE_DATETIME;
type = std::make_shared<DataTypeDateTime>();
return 1;
case TypeIndex::Date:
desc.type = doris::PrimitiveType::TYPE_DATE;
type = std::make_shared<DataTypeDate>();
return 1;
case TypeIndex::DateV2:
desc.type = doris::PrimitiveType::TYPE_DATEV2;
type = std::make_shared<DataTypeDateV2>();
return 1;
case TypeIndex::DateTimeV2:
desc.type = doris::PrimitiveType::TYPE_DATETIMEV2;
type = std::make_shared<DataTypeDateTimeV2>();
return 1;
case TypeIndex::Array: {
desc.type = doris::PrimitiveType::TYPE_ARRAY;
ut_type::UTDataTypeDesc sub_desc;
DataTypePtr sub_type = nullptr;
++index;
size_t ret = type_index_to_data_type(input_types, index, sub_desc, sub_type);
if (ret <= 0) {
return ret;
}
desc.children.push_back(sub_desc.type_desc);
if (sub_desc.is_nullable) {
sub_type = make_nullable(sub_type);
}
type = std::make_shared<DataTypeArray>(sub_type);
return ret + 1;
}
case TypeIndex::Struct: {
desc.type = doris::PrimitiveType::TYPE_STRUCT;
++index;
size_t ret = 0;
DataTypes sub_types;
while (index < input_types.size()) {
ut_type::UTDataTypeDesc sub_desc;
DataTypePtr sub_type = nullptr;
size_t inner_ret = type_index_to_data_type(input_types, index, sub_desc, sub_type);
if (inner_ret <= 0) {
return inner_ret;
}
ret += inner_ret;
desc.children.push_back(sub_desc.type_desc);
if (sub_desc.is_nullable) {
sub_type = make_nullable(sub_type);
sub_types.push_back(sub_type);
}
++index;
}
type = std::make_shared<DataTypeStruct>(sub_types);
return ret + 1;
}
case TypeIndex::Nullable: {
++index;
size_t ret = type_index_to_data_type(input_types, index, ut_desc, type);
if (ret <= 0) {
return ret;
}
ut_desc.is_nullable = true;
type = make_nullable(type);
return ret + 1;
}
default:
LOG(WARNING) << "not supported TypeIndex:" << (int)tp;
return 0;
}
}
bool parse_ut_data_type(const std::vector<AnyType>& input_types, ut_type::UTDataTypeDescs& descs) {
descs.clear();
descs.reserve(input_types.size());
for (size_t i = 0; i < input_types.size();) {
ut_type::UTDataTypeDesc desc;
if (input_types[i].type() == &typeid(Consted) ||
input_types[i].type() == &typeid(ConstedNotnull)) {
desc.is_const = true;
}
size_t res = type_index_to_data_type(input_types, i, desc, desc.data_type);
if (res <= 0) {
return false;
}
if (desc.is_nullable) {
desc.data_type = make_nullable(std::move(desc.data_type));
}
desc.col_name = "k" + std::to_string(i);
descs.emplace_back(desc);
i += res;
}
return true;
}
template <typename Date, TypeIndex type_index = TypeIndex::Nothing>
bool insert_date_cell(MutableColumnPtr& column, const std::string& format, const AnyType& cell) {
auto datetime_str = any_cast<std::string>(cell);
Date v;
auto result = v.from_date_format_str(format.c_str(), format.size(), datetime_str.c_str(),
datetime_str.size());
if constexpr (type_index == TypeIndex::Date) {
v.cast_to_date();
} else if constexpr (type_index == TypeIndex::DateTime) {
v.to_datetime();
}
if (result) {
column->insert_data(reinterpret_cast<char*>(&v), 0);
} else if (column->is_nullable()) {
column->insert_data(nullptr, 0);
} else {
return false;
}
return true;
}
bool insert_cell(MutableColumnPtr& column, DataTypePtr type_ptr, const AnyType& cell) {
if (cell.type() == &typeid(Null)) {
column->insert_data(nullptr, 0);
return true;
}
#define RETURN_IF_FALSE(x) \
if (UNLIKELY(!(x))) return false
WhichDataType type(type_ptr);
if (type.is_string()) {
auto str = any_cast<ut_type::STRING>(cell);
column->insert_data(str.c_str(), str.size());
} else if (type.is_json()) {
auto str = any_cast<ut_type::STRING>(cell);
JsonBinaryValue jsonb_val(str.c_str(), str.size());
column->insert_data(jsonb_val.value(), jsonb_val.size());
} else if (type.idx == TypeIndex::BitMap) {
BitmapValue* bitmap = any_cast<BitmapValue*>(cell);
column->insert_data((char*)bitmap, sizeof(BitmapValue));
} else if (type.is_ipv4()) {
auto value = any_cast<ut_type::IPV4>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_ipv6()) {
auto value = any_cast<ut_type::IPV6>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_uint8()) {
auto value = any_cast<ut_type::BOOLEAN>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_int8()) {
auto value = any_cast<ut_type::TINYINT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_int16()) {
auto value = any_cast<ut_type::SMALLINT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_int32()) {
auto value = any_cast<ut_type::INT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_int64()) {
auto value = any_cast<ut_type::BIGINT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_int128()) {
auto value = any_cast<ut_type::LARGEINT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_float32()) {
auto value = any_cast<ut_type::FLOAT>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_float64()) {
auto value = any_cast<ut_type::DOUBLE>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_decimal128v2()) {
auto value = any_cast<Decimal<Int128>>(cell);
column->insert_data(reinterpret_cast<char*>(&value), 0);
} else if (type.is_date_time()) {
static std::string date_time_format("%Y-%m-%d %H:%i:%s");
RETURN_IF_FALSE((insert_date_cell<VecDateTimeValue, TypeIndex::DateTime>(
column, date_time_format, cell)));
} else if (type.is_date()) {
static std::string date_time_format("%Y-%m-%d");
RETURN_IF_FALSE((insert_date_cell<VecDateTimeValue, TypeIndex::Date>(
column, date_time_format, cell)));
} else if (type.is_date_v2()) {
static std::string date_time_format("%Y-%m-%d");
RETURN_IF_FALSE(
(insert_date_cell<DateV2Value<DateV2ValueType>>(column, date_time_format, cell)));
} else if (type.is_date_time_v2()) {
static std::string date_time_format("%Y-%m-%d %H:%i:%s.%f");
RETURN_IF_FALSE((insert_date_cell<DateV2Value<DateTimeV2ValueType>>(
column, date_time_format, cell)));
} else if (type.is_array()) {
auto v = any_cast<Array>(cell);
column->insert(v);
} else if (type.is_struct()) {
auto v = any_cast<CellSet>(cell);
auto struct_type = assert_cast<const DataTypeStruct*>(type_ptr.get());
auto nullable_column = assert_cast<ColumnNullable*>(column.get());
auto* struct_column =
assert_cast<ColumnStruct*>(nullable_column->get_nested_column_ptr().get());
auto* nullmap_column =
assert_cast<ColumnUInt8*>(nullable_column->get_null_map_column_ptr().get());
nullmap_column->insert_default();
for (size_t i = 0; i < v.size(); ++i) {
auto& field = v[i];
auto col = struct_column->get_column(i).get_ptr();
RETURN_IF_FALSE(insert_cell(col, struct_type->get_element(i), field));
}
} else if (type.is_nullable()) {
auto nullable_column = assert_cast<ColumnNullable*>(column.get());
auto col_type = remove_nullable(type_ptr);
auto col = nullable_column->get_nested_column_ptr();
auto* nullmap_column =
assert_cast<ColumnUInt8*>(nullable_column->get_null_map_column_ptr().get());
nullmap_column->insert_default();
RETURN_IF_FALSE(insert_cell(col, col_type, cell));
} else {
LOG(WARNING) << "dataset not supported for TypeIndex:" << (int)type.idx;
return false;
}
return true;
}
Block* create_block_from_inputset(const InputTypeSet& input_types, const InputDataSet& input_set) {
// 1.0 create data type
ut_type::UTDataTypeDescs descs;
if (!parse_ut_data_type(input_types, descs)) {
return nullptr;
}
// 1.1 insert data and create block
auto row_size = input_set.size();
std::unique_ptr<Block> block = Block::create_unique();
auto input_set_size = input_set[0].size();
// 1.2 calculate the input column size
auto input_col_size = input_set_size / descs.size();
for (size_t i = 0; i < descs.size(); ++i) {
auto& desc = descs[i];
for (size_t j = 0; j < input_col_size; ++j) {
auto column = desc.data_type->create_column();
column->reserve(row_size);
auto type_ptr = desc.data_type->is_nullable()
? ((DataTypeNullable*)(desc.data_type.get()))->get_nested_type()
: desc.data_type;
WhichDataType type(type_ptr);
for (int r = 0; r < row_size; r++) {
if (!insert_cell(column, type_ptr, input_set[r][i * input_col_size + j])) {
return nullptr;
}
}
if (desc.is_const) {
column = ColumnConst::create(std::move(column), row_size);
}
block->insert({std::move(column), desc.data_type, desc.col_name});
}
}
return block.release();
}
Block* process_table_function(TableFunction* fn, Block* input_block,
const InputTypeSet& output_types, bool test_get_value_func) {
// pasrse output data types
ut_type::UTDataTypeDescs descs;
if (!parse_ut_data_type(output_types, descs)) {
return nullptr;
}
if (descs.size() != 1) {
LOG(WARNING) << "Now table function test only support return one column";
return nullptr;
}
RuntimeState runtime_state((TQueryGlobals()));
// process table function init
if (fn->process_init(input_block, &runtime_state) != Status::OK()) {
LOG(WARNING) << "TableFunction process_init failed";
return nullptr;
}
// prepare output column
vectorized::MutableColumnPtr column = descs[0].data_type->create_column();
if (column->is_nullable()) {
fn->set_nullable();
}
// process table function for all rows
for (size_t row = 0; row < input_block->rows(); ++row) {
fn->process_row(row);
// consider outer
if (!fn->is_outer() && fn->current_empty()) {
continue;
}
do {
if (test_get_value_func) {
fn->get_value(column, 10);
} else {
fn->get_same_many_values(column, 1);
fn->forward();
}
} while (!fn->eos());
}
std::unique_ptr<Block> output_block = Block::create_unique();
output_block->insert({std::move(column), descs[0].data_type, descs[0].col_name});
return output_block.release();
}
void check_vec_table_function(TableFunction* fn, const InputTypeSet& input_types,
const InputDataSet& input_set, const InputTypeSet& output_types,
const InputDataSet& output_set, const bool test_get_value_func) {
std::unique_ptr<Block> input_block(create_block_from_inputset(input_types, input_set));
EXPECT_TRUE(input_block != nullptr);
std::unique_ptr<Block> expect_output_block(
create_block_from_inputset(output_types, output_set));
EXPECT_TRUE(expect_output_block != nullptr);
std::unique_ptr<Block> real_output_block(
process_table_function(fn, input_block.get(), output_types, test_get_value_func));
EXPECT_TRUE(real_output_block != nullptr);
// compare real_output_block with expect_output_block
EXPECT_EQ(expect_output_block->columns(), real_output_block->columns());
EXPECT_EQ(expect_output_block->rows(), real_output_block->rows());
for (size_t col = 0; col < expect_output_block->columns(); ++col) {
auto left_col = expect_output_block->get_by_position(col).column;
auto right_col = real_output_block->get_by_position(col).column;
for (size_t row = 0; row < expect_output_block->rows(); ++row) {
EXPECT_EQ(left_col->compare_at(row, row, *right_col, 0), 0);
}
}
}
} // namespace doris::vectorized
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