milvus/internal/core/src/storage/FieldData.cpp
xige-16 04082b3de2
Migrate the ability to upload and download binlog to cpp (#22984)
Signed-off-by: xige-16 <xi.ge@zilliz.com>
2023-06-25 14:38:44 +08:00

163 lines
6.5 KiB
C++

// Licensed to the LF AI & Data foundation 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 "storage/FieldData.h"
#include "common/Json.h"
namespace milvus::storage {
template <typename Type, bool is_scalar>
void
FieldDataImpl<Type, is_scalar>::FillFieldData(const void* source,
ssize_t element_count) {
if (element_count == 0) {
return;
}
std::lock_guard lck(tell_mutex_);
if (tell_ + element_count > get_num_rows()) {
resize_field_data(tell_ + element_count);
}
std::copy_n(static_cast<const Type*>(source),
element_count * dim_,
field_data_.data() + tell_ * dim_);
tell_ += element_count;
}
template <typename ArrayType, arrow::Type::type ArrayDataType>
std::pair<const void*, int64_t>
GetDataInfoFromArray(const std::shared_ptr<arrow::Array> array) {
AssertInfo(array->type()->id() == ArrayDataType, "inconsistent data type");
auto typed_array = std::dynamic_pointer_cast<ArrayType>(array);
auto element_count = array->length();
return std::make_pair(typed_array->raw_values(), element_count);
}
template <typename Type, bool is_scalar>
void
FieldDataImpl<Type, is_scalar>::FillFieldData(
const std::shared_ptr<arrow::Array> array) {
AssertInfo(array != nullptr, "null arrow array");
auto element_count = array->length();
if (element_count == 0) {
return;
}
switch (data_type_) {
case DataType::BOOL: {
AssertInfo(array->type()->id() == arrow::Type::type::BOOL,
"inconsistent data type");
auto bool_array =
std::dynamic_pointer_cast<arrow::BooleanArray>(array);
FixedVector<bool> values(element_count);
for (size_t index = 0; index < element_count; ++index) {
values[index] = bool_array->Value(index);
}
return FillFieldData(values.data(), element_count);
}
case DataType::INT8: {
auto array_info =
GetDataInfoFromArray<arrow::Int8Array, arrow::Type::type::INT8>(
array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::INT16: {
auto array_info =
GetDataInfoFromArray<arrow::Int16Array,
arrow::Type::type::INT16>(array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::INT32: {
auto array_info =
GetDataInfoFromArray<arrow::Int32Array,
arrow::Type::type::INT32>(array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::INT64: {
auto array_info =
GetDataInfoFromArray<arrow::Int64Array,
arrow::Type::type::INT64>(array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::FLOAT: {
auto array_info =
GetDataInfoFromArray<arrow::FloatArray,
arrow::Type::type::FLOAT>(array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::DOUBLE: {
auto array_info =
GetDataInfoFromArray<arrow::DoubleArray,
arrow::Type::type::DOUBLE>(array);
return FillFieldData(array_info.first, array_info.second);
}
case DataType::STRING:
case DataType::VARCHAR: {
AssertInfo(array->type()->id() == arrow::Type::type::STRING,
"inconsistent data type");
auto string_array =
std::dynamic_pointer_cast<arrow::StringArray>(array);
std::vector<std::string> values(element_count);
for (size_t index = 0; index < element_count; ++index) {
values[index] = string_array->GetString(index);
}
return FillFieldData(values.data(), element_count);
}
case DataType::JSON: {
AssertInfo(array->type()->id() == arrow::Type::type::BINARY,
"inconsistent data type");
auto json_array =
std::dynamic_pointer_cast<arrow::BinaryArray>(array);
std::vector<Json> values(element_count);
for (size_t index = 0; index < element_count; ++index) {
values[index] =
Json(simdjson::padded_string(json_array->GetString(index)));
}
return FillFieldData(values.data(), element_count);
}
case DataType::VECTOR_FLOAT:
case DataType::VECTOR_BINARY: {
auto array_info =
GetDataInfoFromArray<arrow::FixedSizeBinaryArray,
arrow::Type::type::FIXED_SIZE_BINARY>(
array);
return FillFieldData(array_info.first, array_info.second);
}
default: {
throw NotSupportedDataTypeException(GetName() + "::FillFieldData" +
" not support data type " +
datatype_name(data_type_));
}
}
}
// scalar data
template class FieldDataImpl<bool, true>;
template class FieldDataImpl<unsigned char, false>;
template class FieldDataImpl<int8_t, true>;
template class FieldDataImpl<int16_t, true>;
template class FieldDataImpl<int32_t, true>;
template class FieldDataImpl<int64_t, true>;
template class FieldDataImpl<float, true>;
template class FieldDataImpl<double, true>;
template class FieldDataImpl<std::string, true>;
template class FieldDataImpl<Json, true>;
// vector data
template class FieldDataImpl<int8_t, false>;
template class FieldDataImpl<float, false>;
} // namespace milvus::storage