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a602171d06
#28165 Signed-off-by: luzhang <luzhang@zilliz.com> Co-authored-by: luzhang <luzhang@zilliz.com>
218 lines
8.7 KiB
C++
218 lines
8.7 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 "common/FieldData.h"
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#include "arrow/array/array_binary.h"
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#include "common/Array.h"
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#include "common/EasyAssert.h"
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#include "common/Exception.h"
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#include "common/FieldDataInterface.h"
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#include "common/Json.h"
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#include "simdjson/padded_string.h"
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namespace milvus {
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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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if (element_count == 0) {
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return;
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}
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std::lock_guard lck(tell_mutex_);
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if (length_ + element_count > get_num_rows()) {
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resize_field_data(length_ + element_count);
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}
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std::copy_n(static_cast<const Type*>(source),
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element_count * dim_,
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field_data_.data() + length_ * dim_);
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length_ += element_count;
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}
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template <typename ArrayType, arrow::Type::type ArrayDataType>
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std::pair<const void*, int64_t>
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GetDataInfoFromArray(const std::shared_ptr<arrow::Array> array) {
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AssertInfo(array->type()->id() == ArrayDataType,
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fmt::format("inconsistent data type, expected {}, actual {}",
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ArrayDataType,
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array->type()->id()));
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auto typed_array = std::dynamic_pointer_cast<ArrayType>(array);
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auto element_count = array->length();
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return std::make_pair(typed_array->raw_values(), element_count);
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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();
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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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auto array_info =
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GetDataInfoFromArray<arrow::Int8Array, arrow::Type::type::INT8>(
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array);
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return FillFieldData(array_info.first, array_info.second);
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}
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case DataType::INT16: {
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auto array_info =
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GetDataInfoFromArray<arrow::Int16Array,
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arrow::Type::type::INT16>(array);
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return FillFieldData(array_info.first, array_info.second);
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}
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case DataType::INT32: {
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auto array_info =
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GetDataInfoFromArray<arrow::Int32Array,
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arrow::Type::type::INT32>(array);
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return FillFieldData(array_info.first, array_info.second);
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}
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case DataType::INT64: {
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auto array_info =
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GetDataInfoFromArray<arrow::Int64Array,
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arrow::Type::type::INT64>(array);
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return FillFieldData(array_info.first, array_info.second);
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}
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case DataType::FLOAT: {
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auto array_info =
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GetDataInfoFromArray<arrow::FloatArray,
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arrow::Type::type::FLOAT>(array);
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return FillFieldData(array_info.first, array_info.second);
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}
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case DataType::DOUBLE: {
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auto array_info =
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GetDataInfoFromArray<arrow::DoubleArray,
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arrow::Type::type::DOUBLE>(array);
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return FillFieldData(array_info.first, array_info.second);
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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::JSON: {
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AssertInfo(array->type()->id() == arrow::Type::type::BINARY,
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"inconsistent data type");
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auto json_array =
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std::dynamic_pointer_cast<arrow::BinaryArray>(array);
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std::vector<Json> values(element_count);
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for (size_t index = 0; index < element_count; ++index) {
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values[index] =
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Json(simdjson::padded_string(json_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::ARRAY: {
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auto array_array =
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std::dynamic_pointer_cast<arrow::BinaryArray>(array);
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std::vector<Array> values(element_count);
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for (size_t index = 0; index < element_count; ++index) {
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ScalarArray field_data;
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field_data.ParseFromString(array_array->GetString(index));
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values[index] = Array(field_data);
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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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case DataType::VECTOR_FLOAT16:
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case DataType::VECTOR_BINARY: {
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auto array_info =
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GetDataInfoFromArray<arrow::FixedSizeBinaryArray,
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arrow::Type::type::FIXED_SIZE_BINARY>(
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array);
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return FillFieldData(array_info.first, array_info.second);
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}
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default: {
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throw SegcoreError(DataTypeInvalid,
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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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template class FieldDataImpl<Json, true>;
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template class FieldDataImpl<Array, 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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template class FieldDataImpl<float16, false>;
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FieldDataPtr
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InitScalarFieldData(const DataType& type, int64_t cap_rows) {
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switch (type) {
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case DataType::BOOL:
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return std::make_shared<FieldData<bool>>(type, cap_rows);
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case DataType::INT8:
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return std::make_shared<FieldData<int8_t>>(type, cap_rows);
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case DataType::INT16:
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return std::make_shared<FieldData<int16_t>>(type, cap_rows);
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case DataType::INT32:
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return std::make_shared<FieldData<int32_t>>(type, cap_rows);
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case DataType::INT64:
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return std::make_shared<FieldData<int64_t>>(type, cap_rows);
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case DataType::FLOAT:
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return std::make_shared<FieldData<float>>(type, cap_rows);
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case DataType::DOUBLE:
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return std::make_shared<FieldData<double>>(type, cap_rows);
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case DataType::STRING:
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case DataType::VARCHAR:
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return std::make_shared<FieldData<std::string>>(type, cap_rows);
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case DataType::JSON:
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return std::make_shared<FieldData<Json>>(type, cap_rows);
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default:
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throw NotSupportedDataTypeException(
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"InitScalarFieldData not support data type " +
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datatype_name(type));
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}
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}
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} // namespace milvus
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