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发现MongoDB特别适合自动化检测数据的存储。。。

例如一个晶圆检测项目，定义其数据结构如下

#pragma once
#include <vector>
#include <QString>
#include <QRectF>
#include <string>
#include <memory>class tpoWafer;
class tpoDie;
class tpoDefect;class tpoWafer
{
public:std::vector<std::shared_ptr<tpoDie>>Layouts; //晶圆的layoutQRectF MaskArea;QString WaferID;QString BatchID;QString ProductID;QString StepID;QString LotID;QString EqpID;QString UnitID;QString OperatorID;QString RecipeName;QString RecipeID;int TotalDie;int OKDie;int NGDie;int TotalDefect;double Mark_x;double Mark_y;QString Judge;QString WarningLevel;int WariningCode;QString StartTime;QString EndTime;int ImageCount;QString ImagePath;
};class tpoDie
{
public:std::vector<std::shared_ptr<tpoDefect>>InspectedDefect; //检测到的缺陷double die_x;double die_y;double die_width;double die_height;double die_type;int die_model;
};class tpoDefect
{
public:int id = -1;double x = 0;double y = 0;double gray = 0;double height = 0;double width = 0;double size = 0;double roundness = 1;int type = -1;int judge = 0;QRectF bounding = QRectF(0, 0, 1, 1);bool visible = true;bool skip = false;int inspect_type = 1;int flag = -1;
};

如果用的是结构型数据库存储数据，就需要在数据库中建立3个表，wafer table，die table defect table,还要用外键进行关联。

而在MongoDB这类非关系型数据库中这些都不需要，只需按照定义的数据结构把数据写成类似json文件的domcument存到数据中就可以了。最最重要的是，当数据结构改变了，增加或者减少存储的数据时完全不需要改数据库表，这个在关系型数据库中就不行了。

bool tpoWafer::write_to_database(bsoncxx::builder::stream::document& doc)
{int idx = 0;doc <<"MaskArea_x" + std::to_string(idx) << MaskArea.x() <<"MaskArea_y" + std::to_string(idx) << MaskArea.y() <<"MaskArea_width" + std::to_string(idx) << MaskArea.width() << "MaskArea_height" + std::to_string(idx) << MaskArea.height() <<"WaferID" + std::to_string(idx) << WaferID.toStdString() <<"BatchID" + std::to_string(idx) << BatchID.toStdString() <<"ProductID" + std::to_string(idx) << ProductID.toStdString() <<"StepID" + std::to_string(idx) << StepID.toStdString() <<"LotID" + std::to_string(idx) << LotID.toStdString() <<"EqpID" + std::to_string(idx) << EqpID.toStdString() <<"UnitID" + std::to_string(idx) << UnitID.toStdString() <<"OperatorID" + std::to_string(idx) << OperatorID.toStdString() <<"RecipeName" + std::to_string(idx) << RecipeName.toStdString() <<"RecipeID" + std::to_string(idx) << RecipeID.toStdString() <<"TotalDie" + std::to_string(idx) << TotalDie <<"OKDie" + std::to_string(idx) << OKDie <<"NGDie" + std::to_string(idx) << NGDie <<"TotalDefect" + std::to_string(idx) << TotalDefect <<"Mark_x" + std::to_string(idx) << Mark_x <<"Mark_y" + std::to_string(idx) << Mark_y <<"Judge" << Judge.toStdString() <<"WarningLevel" + std::to_string(idx) << WarningLevel.toStdString() <<"WariningCode" + std::to_string(idx) << WariningCode <<"StartTime" + std::to_string(idx) << StartTime.toStdString() <<"EndTime" + std::to_string(idx) << EndTime.toStdString() <<"ImageCount" + std::to_string(idx) << ImageCount <<"ImagePath" + std::to_string(idx) << ImagePath.toStdString();for (int i = 0; i < Layouts.size(); i++){Layouts[i]->write_to_database(doc, i);}return true;
}bool tpoDefect::write_to_database(bsoncxx::builder::stream::document& doc, int idx)
{doc << "defect_info"+ std::to_string(idx) << bsoncxx::builder::stream::open_document <<"id"+ std::to_string(idx) << id <<"x" + std::to_string(idx) << x <<"t" + std::to_string(idx) << y <<"gray" + std::to_string(idx) << gray <<"height" + std::to_string(idx) << height <<"width" + std::to_string(idx) << width <<"size" + std::to_string(idx) << size <<"roundness" + std::to_string(idx) << roundness <<"type" + std::to_string(idx) << type <<"judge" + std::to_string(idx) << judge <<"bounding_x" + std::to_string(idx) << bounding.x() <<"bounding_y" + std::to_string(idx) << bounding.y() <<"bounding_width" + std::to_string(idx) << bounding.width() <<"bounding_height" + std::to_string(idx) << bounding.height() <<"visible" + std::to_string(idx) << visible <<"skip" + std::to_string(idx) << skip <<"inspect_type" + std::to_string(idx) << inspect_type <<"flag" << flag;doc << bsoncxx::builder::stream::close_document;return false;
}bool tpoDie::write_to_database(bsoncxx::builder::stream::document& doc, int idx)
{doc << "die_info" + std::to_string(idx) <<bsoncxx::builder::stream::open_document<<"die_x" + std::to_string(idx) << die_x <<"die_y" + std::to_string(idx) << die_y <<"die_width" + std::to_string(idx) << die_width <<"die_height" + std::to_string(idx) << die_height <<"die_type" + std::to_string(idx) << die_type <<"die_model" + std::to_string(idx) << die_model <<"die_id" + std::to_string(idx) << die_id.toStdString();for (int i = 0; i < InspectedDefect.size(); i++){InspectedDefect[i]->write_to_database(doc, i);     }doc << bsoncxx::builder::stream::close_document;return true;
}

对每个数据结构写一个write document的方法，最后只需要调用wafer的write_to_database方法就能把wafer的每个die的详细信息记录到表中，包括每个die中的缺陷详细信息。

写到数据库中的数据结构是这样的，结构一目了然，wafer中带着die的信息和自身的一些详细信息，die中又有defect的详细信息。

而且这个数据库查询效率奇高，实测千万级的数据，添加了索引之后能在0.1秒之内查询到结果。