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150 lines
6.3 KiB
C++
150 lines
6.3 KiB
C++
// Licensed to the LF AI & Data foundation 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, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "storage/FieldData.h"
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namespace milvus::storage {
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template <typename Type, bool is_scalar>
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void
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FieldDataImpl<Type, is_scalar>::FillFieldData(const void* source,
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ssize_t element_count) {
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AssertInfo(element_count % dim_ == 0, "invalid element count");
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if (element_count == 0) {
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return;
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}
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AssertInfo(field_data_.size() == 0, "no empty field vector");
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field_data_.resize(element_count);
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std::copy_n(
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static_cast<const Type*>(source), element_count, field_data_.data());
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}
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template <typename Type, bool is_scalar>
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void
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FieldDataImpl<Type, is_scalar>::FillFieldData(
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const std::shared_ptr<arrow::Array> array) {
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AssertInfo(array != nullptr, "null arrow array");
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auto element_count = array->length() * dim_;
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if (element_count == 0) {
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return;
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}
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switch (data_type_) {
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case DataType::BOOL: {
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AssertInfo(array->type()->id() == arrow::Type::type::BOOL,
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"inconsistent data type");
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auto bool_array =
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std::dynamic_pointer_cast<arrow::BooleanArray>(array);
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FixedVector<bool> values(element_count);
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for (size_t index = 0; index < element_count; ++index) {
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values[index] = bool_array->Value(index);
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}
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return FillFieldData(values.data(), element_count);
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}
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case DataType::INT8: {
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AssertInfo(array->type()->id() == arrow::Type::type::INT8,
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"inconsistent data type");
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auto int8_array =
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std::dynamic_pointer_cast<arrow::Int8Array>(array);
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return FillFieldData(int8_array->raw_values(), element_count);
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}
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case DataType::INT16: {
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AssertInfo(array->type()->id() == arrow::Type::type::INT16,
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"inconsistent data type");
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auto int16_array =
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std::dynamic_pointer_cast<arrow::Int16Array>(array);
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return FillFieldData(int16_array->raw_values(), element_count);
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}
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case DataType::INT32: {
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AssertInfo(array->type()->id() == arrow::Type::type::INT32,
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"inconsistent data type");
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auto int32_array =
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std::dynamic_pointer_cast<arrow::Int32Array>(array);
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return FillFieldData(int32_array->raw_values(), element_count);
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}
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case DataType::INT64: {
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AssertInfo(array->type()->id() == arrow::Type::type::INT64,
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"inconsistent data type");
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auto int64_array =
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std::dynamic_pointer_cast<arrow::Int64Array>(array);
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return FillFieldData(int64_array->raw_values(), element_count);
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}
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case DataType::FLOAT: {
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AssertInfo(array->type()->id() == arrow::Type::type::FLOAT,
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"inconsistent data type");
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auto float_array =
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std::dynamic_pointer_cast<arrow::FloatArray>(array);
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return FillFieldData(float_array->raw_values(), element_count);
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}
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case DataType::DOUBLE: {
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AssertInfo(array->type()->id() == arrow::Type::type::DOUBLE,
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"inconsistent data type");
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auto double_array =
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std::dynamic_pointer_cast<arrow::DoubleArray>(array);
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return FillFieldData(double_array->raw_values(), element_count);
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}
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case DataType::STRING:
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case DataType::VARCHAR: {
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AssertInfo(array->type()->id() == arrow::Type::type::STRING,
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"inconsistent data type");
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auto string_array =
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std::dynamic_pointer_cast<arrow::StringArray>(array);
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std::vector<std::string> values(element_count);
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for (size_t index = 0; index < element_count; ++index) {
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values[index] = string_array->GetString(index);
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}
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return FillFieldData(values.data(), element_count);
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}
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case DataType::VECTOR_FLOAT: {
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AssertInfo(
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array->type()->id() == arrow::Type::type::FIXED_SIZE_BINARY,
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"inconsistent data type");
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auto vector_array =
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std::dynamic_pointer_cast<arrow::FixedSizeBinaryArray>(array);
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return FillFieldData(vector_array->raw_values(), element_count);
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}
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case DataType::VECTOR_BINARY: {
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AssertInfo(
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array->type()->id() == arrow::Type::type::FIXED_SIZE_BINARY,
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"inconsistent data type");
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auto vector_array =
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std::dynamic_pointer_cast<arrow::FixedSizeBinaryArray>(array);
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return FillFieldData(vector_array->raw_values(), element_count);
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}
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default: {
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throw NotSupportedDataTypeException(GetName() + "::FillFieldData" +
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" not support data type " +
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datatype_name(data_type_));
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}
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}
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}
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// scalar data
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template class FieldDataImpl<bool, true>;
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template class FieldDataImpl<unsigned char, false>;
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template class FieldDataImpl<int8_t, true>;
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template class FieldDataImpl<int16_t, true>;
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template class FieldDataImpl<int32_t, true>;
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template class FieldDataImpl<int64_t, true>;
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template class FieldDataImpl<float, true>;
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template class FieldDataImpl<double, true>;
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template class FieldDataImpl<std::string, true>;
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// vector data
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template class FieldDataImpl<int8_t, false>;
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template class FieldDataImpl<float, false>;
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} // namespace milvus::storage
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