我们今天将研究MongoDB的批量插入。在MongoDB中，可以使用批量插入操作一次插入多个文档，将文档数组作为参数传递给插入方法。
MongoDB批量插入
MongoDB批量插入默认执行有序插入。如果在插入过程中发生错误，插入将在某一点停止，对于剩余的文档不会发生插入。让我们通过命令行查看使用MongoDB批量插入插入多个文档的示例。
MongoDB插入多个文档
> db.car.insert(
... [
... { _id:1,name:"Audi",color:"Red",cno:"H101",mfdcountry:"Germany",speed:75 },
... { _id:2,name:"Swift",color:"Black",cno:"H102",mfdcountry:"Italy",speed:60 },
... { _id:3,name:"Maruthi800",color:"Blue",cno:"H103",mfdcountry:"India",speed:70 },
... { _id:4,name:"Polo",color:"White",cno:"H104",mfdcountry:"Japan",speed:65 },
... { _id:5,name:"Volkswagen",color:"JetBlue",cno:"H105",mfdcountry:"Rome",speed:80 }
... ]
... )
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 5,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
此操作插入了五个文档。如果用户在查询中未指定，MongoDB会自动创建一个id字段。“nInserted”列告诉用户插入的文档数量。要查看插入的文档，请执行如下查询。
> db.car.find()
{ "_id" : 1, "name" : "Audi", "color" : "Red", "cno" : "H101", "mfdcountry" : "Germany", "speed" : 75 }
{ "_id" : 2, "name" : "Swift", "color" : "Black", "cno" : "H102", "mfdcountry" : "Italy", "speed" : 60 }
{ "_id" : 3, "name" : "Maruthi800", "color" : "Blue", "cno" : "H103", "mfdcountry" : "India", "speed" : 70 }
{ "_id" : 4, "name" : "Polo", "color" : "White", "cno" : "H104", "mfdcountry" : "Japan", "speed" : 65 }
{ "_id" : 5, "name" : "Volkswagen", "color" : "JetBlue", "cno" : "H105", "mfdcountry" : "Rome", "speed" : 80 }
>
了解有关MongoDB查找和MongoDB插入操作的更多信息。在插入时，用户不必在查询中提供所有字段是非强制性的。现在让我们看看当未指定一些字段时插入是如何工作的。
MongoDB 批量插入文档时指定某些字段
> db.car.insert(
... [
... { _id:6,name:"HondaCity",color:"Grey",cno:"H106",mfdcountry:"Sweden",speed:45 },
... {name:"Santro",color:"Pale Blue",cno:"H107",mfdcountry:"Denmark",speed:55 },
... { _id:8,name:"Zen",speed:54 }
... ]
... )
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 3,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
>
在这个例子中，对于第二个文档，用户没有指定 id 字段，对于第三个文档，查询中只提供了 id、name 和 speed 字段。即使第二和第三文档中缺少了一些字段，查询也能成功插入。nInserted 列显示插入了三个文档。调用 find 方法并检查插入的文档。
> db.car.find()
{ "_id" : 1, "name" : "Audi", "color" : "Red", "cno" : "H101", "mfdcountry" : "Germany", "speed" : 75 }
{ "_id" : 2, "name" : "Swift", "color" : "Black", "cno" : "H102", "mfdcountry" : "Italy", "speed" : 60 }
{ "_id" : 3, "name" : "Maruthi800", "color" : "Blue", "cno" : "H103", "mfdcountry" : "India", "speed" : 70 }
{ "_id" : 4, "name" : "Polo", "color" : "White", "cno" : "H104", "mfdcountry" : "Japan", "speed" : 65 }
{ "_id" : 5, "name" : "Volkswagen", "color" : "JetBlue", "cno" : "H105", "mfdcountry" : "Rome", "speed" : 80 }
{ "_id" : 6, "name" : "HondaCity", "color" : "Grey", "cno" : "H106", "mfdcountry" : "Sweden", "speed" : 45 }
{ "_id" : ObjectId("54885b8e61307aec89441a0b"), "name" : "Santro", "color" : "Pale Blue", "cno" : "H107", "mfdcountry" : "Denmark", "speed" : 55 }
{ "_id" : 8, "name" : "Zen", "speed" : 54 }
>
请注意，MongoDB 为“Santro”这辆车自动生成了 id。对于 id 为 8 的文档 – 只插入了 name 和 speed 字段。
插入无序文档
在执行无序插入时，如果在某个点发生错误，mongodb 会继续在数组中插入剩余的文档。例如；
> db.car.insert(
... [
... { _id:9,name:"SwiftDezire",color:"Maroon",cno:"H108",mfdcountry:"New York",speed:40 },
... { name:"Punto",color:"Wine Red",cno:"H109",mfdcountry:"Paris",speed:45 },
... ],
... { ordered: false }
... )
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 2,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
>
在插入查询中指定 ordered false，表示这是一个无序集合。执行 db.car.find()
{ "_id" : 1, "name" : "Audi", "color" : "Red", "cno" : "H101", "mfdcountry" : "Germany", "speed" : 75 }
{ "_id" : 2, "name" : "Swift", "color" : "Black", "cno" : "H102", "mfdcountry" : "Italy", "speed" : 60 }
{ "_id" : 3, "name" : "Maruthi800", "color" : "Blue", "cno" : "H103", "mfdcountry" : "India", "speed" : 70 }
{ "_id" : 4, "name" : "Polo", "color" : "White", "cno" : "H104", "mfdcountry" : "Japan", "speed" : 65 }
{ "_id" : 5, "name" : "Volkswagen", "color" : "JetBlue", "cno" : "H105", "mfdcountry" : "Rome", "speed" : 80 }
{ "_id" : 6, "name" : "HondaCity", "color" : "Grey", "cno" : "H106", "mfdcountry" : "Sweden", "speed" : 45 }
{ "_id" : ObjectId("54746407d785e3a05a1808a6"), "name" : "Santro", "color" : "Pale Blue", "cno" : "H107", "mfdcountry" : "Denmark", "speed" : 55 }
{ "_id" : 8, "name" : "Zen", "speed" : 54 }
{ "_id" : 9, "name" : "SwiftDezire", "color" : "Maroon", "cno" : "H108", "mfdcountry" : "New York", "speed" : 40 }
{ "_id" : ObjectId("5474642dd785e3a05a1808a7"), "name" : "Punto", "color" : "Wine Red", "cno" : "H109", "mfdcountry" : "Paris", "speed" : 45 }
文档被插入，正如你所看到的，这是一个无序插入。如果 insert 方法遇到错误，结果会包含“WriteResult.writeErrors”字段，指示导致失败的错误消息。
插入重复的id值
> db.car.insert({_id:6,name:"Innova"})
WriteResult({
"nInserted" : 0,
"writeError" : {
"code" : 11000,
"errmsg" : "insertDocument :: caused by :: 11000 E11000 duplicate key error index: journaldev.car.$_id_ dup key: { : 6.0 }"
}
})
>
该错误表示我们正在为id为6的文档插入一个已经包含文档的文档，因此针对值为6的id引发了重复键错误。
MongoDB Bulk.insert() 方法
该方法可以执行批量插入操作，从2.6版本开始引入。语法为Bulk.insert(<document>)。文档：指定要插入的文档。现在我们将看到批量插入的示例。
批量无序插入
> var carbulk = db.car.initializeUnorderedBulkOp();
> carbulk.insert({ name:"Ritz", color:"Grey",cno:"H109",mfdcountry:"Mexico",speed:62});
> carbulk.insert({ name:"Versa", color:"Magenta",cno:"H110",mfdcountry:"France",speed:68});
> carbulk.insert({ name:"Innova", color:"JetRed",cno:"H111",mfdcountry:"Dubai",speed:72});
> carbulk.execute();
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 3,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
>
创建了一个名为carbulk的无序列表，并指定了插入查询的字段、要插入的值。请注意，必须在最后一个插入语句之后调用execute()方法，以确保数据实际插入到数据库中。
MongoDB批量有序插入
这类似于无序批量插入，但我们使用initializeOrderedBulkOp调用。
>var car1bulk = db.car.initializeOrderedBulkOp();
>car1bulk.insert({ name:"Ertiga", color:"Red",cno:"H112",mfdcountry:"America",speed:65});
>car1bulk.insert({ name:"Quanta", color:"Maroon",cno:"H113",mfdcountry:"Rome",speed:78});
>car1bulk.execute();
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 2,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
首先，我们创建一个名为carbulk1的有序汽车集合列表，然后通过调用execute()方法插入文档。
MongoDB批量插入Java程序
让我们来看一个用于不同批量操作的Java程序，这是我们目前使用shell命令看到的。以下是使用MongoDB Java驱动程序版本2.x进行批量插入的Java程序。
package com.journaldev.mongodb;
import com.mongodb.BasicDBObject;
import com.mongodb.BulkWriteOperation;
import com.mongodb.BulkWriteResult;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBCursor;
import com.mongodb.DBObject;
import com.mongodb.MongoClient;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.List;
public class MongoDBBulkInsert {
//插入所有文档的方法
public static void insertmultipledocs() throws UnknownHostException{
//获取一个新的数据库连接，假设它正在运行
MongoClient mongoClient = new MongoClient("localhost");
////在这里使用test作为数据库，使用你自己的数据库
DB db=mongoClient.getDB("test");
////获取集合对象，这里使用car，请使用你自己的
DBCollection coll = db.getCollection("car");
//创建一个新对象
DBObject d1 = new BasicDBObject();
//对象d1的数据
d1.put("_id", 11);
d1.put("name","WagonR");
d1.put("color", "MetallicSilver");
d1.put("cno", "H141");
d1.put("mfdcountry","Australia");
d1.put("speed",66);
DBObject d2 = new BasicDBObject();
//对象d2的数据
d2.put("_id", 12);
d2.put("name","Xylo");
d2.put("color", "JetBlue");
d2.put("cno", "H142");
d2.put("mfdcountry","Europe");
d2.put("speed",69);
DBObject d3 = new BasicDBObject();
//对象d3的数据
d3.put("_id", 13);
d3.put("name","Alto800");
d3.put("color", "JetGrey");
d3.put("cno", "H143");
d3.put("mfdcountry","Austria");
d3.put("speed",74);
//创建一个新列表
List docs = new ArrayList<>();
//将d1、d2和d3添加到列表docs中
docs.add(d1);
docs.add(d2);
docs.add(d3);
//将列表docs插入到集合中
coll.insert(docs);
//将结果存储在游标中
DBCursor carmuldocs = coll.find();
//打印游标的内容
try {
while(carmuldocs.hasNext()) {
System.out.println(carmuldocs.next());
}
} finally {
carmuldocs.close();//close the cursor
}
}
//插入具有一些字段的文档的方法
public static void insertsomefieldsformultipledocs() throws UnknownHostException{
//获取一个新的数据库连接，假设它正在运行
MongoClient mongoClient = new MongoClient("localhost");
////在这里使用test作为数据库，使用你自己的数据库
DB db=mongoClient.getDB("test");
////获取集合对象，这里使用car，请使用你自己的
DBCollection coll = db.getCollection("car");
//创建对象d1
DBObject d1 = new BasicDBObject();
//插入名称、颜色和速度的数据
d1.put("name","Indica");
d1.put("color", "Silver");
d1.put("cno", "H154");
DBObject d2 = new BasicDBObject();
//插入id、名称和速度的数据
d2.put("_id", 43);
d2.put("name","Astar");
d2.put("speed",79);
List docs = new ArrayList<>();
docs.add(d1);
docs.add(d2);
coll.insert(docs);
DBCursor carmuldocs = coll.find();
System.out.println("-----------------------------------------------");
try {
while(carmuldocs.hasNext()) {
System.out.println(carmuldocs.next());
}
} finally {
carmuldocs.close();//close the cursor
}
}
//检查重复文档的方法
public static void insertduplicatedocs() throws UnknownHostException{
//获取一个新的数据库连接，假设它正在运行
MongoClient mongoClient = new MongoClient("localhost");
////在这里使用test作为数据库，使用你自己的数据库
DB db=mongoClient.getDB("test");
////获取集合对象，这里使用car，请使用你自己的
DBCollection coll = db.getCollection("car");
DBObject d1 = new BasicDBObject();
//插入id11的重复数据
d1.put("_id", 11);
d1.put("name","WagonR-Lxi");
coll.insert(d1);
DBCursor carmuldocs = coll.find();
System.out.println("-----------------------------------------------");
try {
while(carmuldocs.hasNext()) {
System.out.println(carmuldocs.next());
}
} finally {
carmuldocs.close();//close the cursor
}
}
//执行无序列表的批量插入方法
public static void insertbulkunordereddocs() throws UnknownHostException{
//获取一个新的数据库连接，假设它正在运行
MongoClient mongoClient = new MongoClient("localhost");
////在这里使用test作为数据库，使用你自己的数据库
DB db=mongoClient.getDB("test");
////获取集合对象，这里使用car，请使用你自己的
DBCollection coll = db.getCollection("car");
DBObject d1 = new BasicDBObject();
d1.put("name","Suzuki S-4");
d1.put("color", "Yellow");
d1.put("cno", "H167");
d1.put("mfdcountry","Italy");
d1.put("speed",54);
DBObject d2 = new BasicDBObject();
d2.put("name","Santro-Xing");
d2.put("color", "Cyan");
d2.put("cno", "H164");
d2.put("mfdcountry","Holand");
d2.put("speed",76);
//初始化和创建一个无序批量
BulkWriteOperation b1 = coll.initializeUnorderedBulkOperation();
//将d1和d2插入到批量b1中
b1.insert(d1);
b1.insert(d2);
//执行批量操作
BulkWriteResult r1 = b1.execute();
DBCursor carmuldocs = coll.find();
System.out.println("-----------------------------------------------");
try {
while(carmuldocs.hasNext()) {
System.out.println(carmuldocs.next());
}
} finally {
carmuldocs.close();//close the cursor
}
}
//执行有序列表的批量插入方法
public static void insertbulkordereddocs() throws UnknownHostException{
//获取一个新的数据库连接，假设它正在运行
MongoClient mongoClient = new MongoClient("localhost");
////在这里使用test作为数据库，使用你自己的数据库
DB db=mongoClient.getDB("test");
////获取集合对象，这里使用car，请使用你自己的
DBCollection coll = db.getCollection("car");
DBObject d1 = new BasicDBObject();
d1.put("name","Palio");
d1.put("color", "Purple");
d1.put("cno", "H183");
d1.put("mfdcountry","Venice");
d1.put("speed",82);
DBObject d2 = new BasicDBObject();
d2.put("name","Micra");
d2.put("color", "Lime");
d2.put("cno", "H186");
d2.put("mfdcountry","Ethopia");
d2.put("speed",84);
//初始化和创建有序批量
BulkWriteOperation b1 = coll.initializeOrderedBulkOperation();
b1.insert(d1);
b1.insert(d2);
//调用执行
BulkWriteResult r1 = b1.execute();
DBCursor carmuldocs = coll.find();
System.out.println("-----------------------------------");
try {
while(carmuldocs.hasNext()) {
System.out.println(carmuldocs.next());
}
} finally {
carmuldocs.close();//close the cursor
}
}
public static void main(String[] args) throws UnknownHostException{
//调用所有方法执行插入操作
insertmultipledocs();
insertsomefieldsformultipledocs();
insertbulkunordereddocs();
insertbulkordereddocs();
insertduplicatedocs();
}
}
以下是以上程序的输出。
{ "_id" : 11 , "name" : "WagonR" , "color" : "MetallicSilver" , "cno" : "H141" , "mfdcountry" : "Australia" , "speed" : 66}
{ "_id" : 12 , "name" : "Xylo" , "color" : "JetBlue" , "cno" : "H142" , "mfdcountry" : "Europe" , "speed" : 69}
{ "_id" : 13 , "name" : "Alto800" , "color" : "JetGrey" , "cno" : "H143" , "mfdcountry" : "Austria" , "speed" : 74}
-----------------------------------------------
{ "_id" : 11 , "name" : "WagonR" , "color" : "MetallicSilver" , "cno" : "H141" , "mfdcountry" : "Australia" , "speed" : 66}
{ "_id" : 12 , "name" : "Xylo" , "color" : "JetBlue" , "cno" : "H142" , "mfdcountry" : "Europe" , "speed" : 69}
{ "_id" : 13 , "name" : "Alto800" , "color" : "JetGrey" , "cno" : "H143" , "mfdcountry" : "Austria" , "speed" : 74}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d7"} , "name" : "Indica" , "color" : "Silver" , "cno" : "H154"}
{ "_id" : 43 , "name" : "Astar" , "speed" : 79}
-----------------------------------------------
{ "_id" : 11 , "name" : "WagonR" , "color" : "MetallicSilver" , "cno" : "H141" , "mfdcountry" : "Australia" , "speed" : 66}
{ "_id" : 12 , "name" : "Xylo" , "color" : "JetBlue" , "cno" : "H142" , "mfdcountry" : "Europe" , "speed" : 69}
{ "_id" : 13 , "name" : "Alto800" , "color" : "JetGrey" , "cno" : "H143" , "mfdcountry" : "Austria" , "speed" : 74}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d7"} , "name" : "Indica" , "color" : "Silver" , "cno" : "H154"}
{ "_id" : 43 , "name" : "Astar" , "speed" : 79}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d8"} , "name" : "Suzuki S-4" , "color" : "Yellow" , "cno" : "H167" , "mfdcountry" : "Italy" , "speed" : 54}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d9"} , "name" : "Santro-Xing" , "color" : "Cyan" , "cno" : "H164" , "mfdcountry" : "Holand" , "speed" : 76}
-----------------------------------
{ "_id" : 11 , "name" : "WagonR" , "color" : "MetallicSilver" , "cno" : "H141" , "mfdcountry" : "Australia" , "speed" : 66}
{ "_id" : 12 , "name" : "Xylo" , "color" : "JetBlue" , "cno" : "H142" , "mfdcountry" : "Europe" , "speed" : 69}
{ "_id" : 13 , "name" : "Alto800" , "color" : "JetGrey" , "cno" : "H143" , "mfdcountry" : "Austria" , "speed" : 74}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d7"} , "name" : "Indica" , "color" : "Silver" , "cno" : "H154"}
{ "_id" : 43 , "name" : "Astar" , "speed" : 79}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d8"} , "name" : "Suzuki S-4" , "color" : "Yellow" , "cno" : "H167" , "mfdcountry" : "Italy" , "speed" : 54}
{ "_id" : { "$oid" : "548860e803649b8efac5a1d9"} , "name" : "Santro-Xing" , "color" : "Cyan" , "cno" : "H164" , "mfdcountry" : "Holand" , "speed" : 76}
{ "_id" : { "$oid" : "548860e803649b8efac5a1da"} , "name" : "Palio" , "color" : "Purple" , "cno" : "H183" , "mfdcountry" : "Venice" , "speed" : 82}
{ "_id" : { "$oid" : "548860e803649b8efac5a1db"} , "name" : "Micra" , "color" : "Lime" , "cno" : "H186" , "mfdcountry" : "Ethopia" , "speed" : 84}
Exception in thread "main" com.mongodb.MongoException$DuplicateKey: { "serverUsed" : "localhost:27017" , "ok" : 1 , "n" : 0 , "err" : "insertDocument :: caused by :: 11000 E11000 duplicate key error index: test.car.$_id_ dup key: { : 11 }" , "code" : 11000}
at com.mongodb.CommandResult.getWriteException(CommandResult.java:88)
at com.mongodb.CommandResult.getException(CommandResult.java:79)
at com.mongodb.DBCollectionImpl.translateBulkWriteException(DBCollectionImpl.java:314)
at com.mongodb.DBCollectionImpl.insert(DBCollectionImpl.java:189)
at com.mongodb.DBCollectionImpl.insert(DBCollectionImpl.java:165)
at com.mongodb.DBCollection.insert(DBCollection.java:93)
at com.mongodb.DBCollection.insert(DBCollection.java:78)
at com.mongodb.DBCollection.insert(DBCollection.java:120)
at com.journaldev.mongodb.MongoDBBulkInsert.insertduplicatedocs(MongoDBBulkInsert.java:163)
at com.journaldev.mongodb.MongoDBBulkInsert.main(MongoDBBulkInsert.java:304)
如果您正在使用MongoDB Java驱动程序3.x，则使用以下程序。
package com.journaldev.mongodb.main;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.List;
import org.bson.Document;
import com.mongodb.MongoClient;
import com.mongodb.client.FindIterable;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
public class MongoDBBulkInsert {
public static void main(String[] args) throws UnknownHostException {
// 调用所有方法执行插入操作
insertmultipledocs();
insertsomefieldsformultipledocs();
insertduplicatedocs();
}
// 插入所有文档的方法
public static void insertmultipledocs() throws UnknownHostException {
// 获取一个新的连接到正在运行的数据库
MongoClient mongoClient = new MongoClient("localhost");
//// 使用test作为数据库，在此处使用您的数据库
MongoDatabase db = mongoClient.getDatabase("test");
//// 获取集合对象，这里使用了car，请使用您自己的
MongoCollection coll = db.getCollection("car");
// 创建一个新对象
Document d1 = new Document();
// 对象d1的数据
d1.put("_id", 11);
d1.put("name", "WagonR");
d1.put("color", "MetallicSilver");
d1.put("cno", "H141");
d1.put("mfdcountry", "Australia");
d1.put("speed", 66);
Document d2 = new Document();
// 对象d2的数据
d2.put("_id", 12);
d2.put("name", "Xylo");
d2.put("color", "JetBlue");
d2.put("cno", "H142");
d2.put("mfdcountry", "Europe");
d2.put("speed", 69);
Document d3 = new Document();
// 对象d3的数据
d3.put("_id", 13);
d3.put("name", "Alto800");
d3.put("color", "JetGrey");
d3.put("cno", "H143");
d3.put("mfdcountry", "Austria");
d3.put("speed", 74);
// 创建一个新列表
List docs = new ArrayList<>();
// 将d1、d2和d3添加到列表docs
docs.add(d1);
docs.add(d2);
docs.add(d3);
// 将列表docs插入集合
coll.insertMany(docs);
// 将结果存储在游标中
FindIterable carmuldocs = coll.find();
for (Document d : carmuldocs)
System.out.println(d);
mongoClient.close();
}
// 插入带有某些字段的文档的方法
public static void insertsomefieldsformultipledocs() throws UnknownHostException {
// 获取一个新的连接到正在运行的数据库
MongoClient mongoClient = new MongoClient("localhost");
//// 使用test作为数据库，在此处使用您的数据库
MongoDatabase db = mongoClient.getDatabase("test");
//// 获取集合对象，这里使用了car，请使用您自己的
MongoCollection coll = db.getCollection("car");
// 创建对象d1
Document d1 = new Document();
// 插入名称、颜色和速度的数据
d1.put("name", "Indica");
d1.put("color", "Silver");
d1.put("cno", "H154");
Document d2 = new Document();
// 插入id、名称和速度的数据
d2.put("_id", 43);
d2.put("name", "Astar");
d2.put("speed", 79);
List docs = new ArrayList<>();
docs.add(d1);
docs.add(d2);
coll.insertMany(docs);
FindIterable carmuldocs = coll.find();
System.out.println("-----------------------------------------------");
for (Document d : carmuldocs)
System.out.println(d);
mongoClient.close();
}
// 检查重复文档的方法
public static void insertduplicatedocs() throws UnknownHostException {
// 获取一个新的连接到正在运行的数据库
MongoClient mongoClient = new MongoClient("localhost");
//// 使用test作为数据库，在此处使用您的数据库
MongoDatabase db = mongoClient.getDatabase("test");
//// 获取集合对象，这里使用了car，请使用您自己的
MongoCollection coll = db.getCollection("car");
Document d1 = new Document();
// 插入id11的重复数据
d1.put("_id", 11);
d1.put("name", "WagonR-Lxi");
coll.insertOne(d1);
FindIterable carmuldocs = coll.find();
System.out.println("-----------------------------------------------");
for (Document d : carmuldocs)
System.out.println(d);
mongoClient.close();
}
}
以下图像显示了上述 MongoDB 批量插入 Java 程序的示例运行。
这就是使用 Mongo shell 和 Java 驱动程序在 MongoDB 中进行批量插入的全部内容，我们将在接下来的帖子中探讨更多 MongoDB 操作。
Source:
https://www.digitalocean.com/community/tutorials/mongodb-bulk-insert-insertmany