四、MongoDB原生Java客户端
作者:互联网
MongoDB原生Java客户端
1.Maven依赖
<!-- mongodb -->
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongo-java-driver</artifactId>
<version>3.5.0</version>
</dependency>
2.第一种方式:Document
2.1 连接MongoDB
// 数据库
private MongoDatabase db;
// 文档集合
private MongoCollection<Document> doc;
// 连接客户端(内置线程池)
private MongoClient client;
@Before
public void init() {
client = new MongoClient("192.168.137.100", 27017);
db = client.getDatabase("rab");
doc = db.getCollection("users");
}
2.2 新增
@Test
public void insertDemo() {
Document doc1 = new Document();
doc1.append("username", "cang");
doc1.append("country", "USA");
doc1.append("age", 20);
doc1.append("lenght", 1.77f);
doc1.append("salary", new BigDecimal("6565.22"));// 存金额,使用bigdecimal这个数据类型
Map<String, String> address1 = new HashMap<>();
address1.put("aCode", "0000");
address1.put("add", "xxx000");
doc1.append("address", address1);
// 添加“favorites”子文档,其中两个属性是数组
Map<String, Object> favorites1 = new HashMap<String, Object>();
favorites1.put("movies", Arrays.asList("aa", "bb"));
favorites1.put("cites", Arrays.asList("东莞", "东京"));
doc1.append("favorites", favorites1);
Document doc2 = new Document();
doc2.append("username", "Chen");
doc2.append("country", "China");
doc2.append("age", 30);
doc2.append("lenght", 1.77f);
doc2.append("salary", new BigDecimal("8888.22"));
Map<String, String> address2 = new HashMap<>();
address2.put("aCode", "411000");
address2.put("add", "我的地址2");
doc2.append("address", address2);
Map<String, Object> favorites2 = new HashMap<>();
favorites2.put("movies", Arrays.asList("东游记", "一路向东"));
favorites2.put("cites", Arrays.asList("珠海", "东京"));
doc2.append("favorites", favorites2);
// 使用insertMany插入多条数据
doc.insertMany(Arrays.asList(doc1, doc2));
}
2.3 查询
@Test
public void testFind() {
final List<Document> ret = new ArrayList<>();
// block接口专门用于处理查询出来的数据
Block<Document> printBlock = new Block<Document>() {
@Override
public void apply(Document t) {
logger.info(t.toJson());// 打印数据
ret.add(t);
}
};
// select * from users where favorites.cites has "东莞"、"东京"
// db.users.find({ "favorites.cites" : { "$all" : [ "东莞" , "东京"]}})
Bson all = all("favorites.cites", Arrays.asList("东莞", "东京"));
FindIterable<Document> find = doc.find(all);
find.forEach(printBlock);
logger.info("------------------>" + String.valueOf(ret.size()));
ret.removeAll(ret);
// select * from users where username like '%s%' and (contry= English or contry
// = USA)
// db.users.find({ "$and" : [ { "username" : { "$regex" : ".*s.*"}} , { "$or" :
// [ { "country" : "English"} , { "country" : "USA"}]}]})
String regexStr = ".*s.*";
Bson regex = regex("username", regexStr);// 定义数据过滤器,username like '%s%'
Bson or = or(eq("country", "English"), eq("country", "USA"));// 定义数据过滤器,(contry= English or contry = USA)
Bson and = and(regex, or);
FindIterable<Document> find2 = doc.find(and);
find2.forEach(printBlock);
logger.info("------------------>" + String.valueOf(ret.size()));
}
2.4 修改
@Test
public void testUpdate() {
// update users set age=6 where username = 'lison'
// db.users.updateMany({ "username" : "lison"},{ "$set" : { "age" : 6}},true)
Bson eq = eq("username", "lison"); // 定义数据过滤器,username = 'lison'
Bson set = set("age", 8);// 更新的字段.来自于Updates包的静态导入
UpdateResult updateMany = doc.updateMany(eq, set);
logger.info("------------------>" + String.valueOf(updateMany.getModifiedCount()));// 打印受影响的行数
// update users set favorites.movies add "小电影2 ", "小电影3" where favorites.cites
// has "东莞"
// db.users.updateMany({ "favorites.cites" : "东莞"}, { "$addToSet" : {
// "favorites.movies" : { "$each" : [ "小电影2 " , "小电影3"]}}},true)
Bson eq2 = eq("favorites.cites", "东莞");
Bson addEachToSet = addEachToSet("favorites.movies", Arrays.asList("小电影2 ", "小电影3"));// 更新的字段.来自于Updates包的静态导入
UpdateResult updateMany2 = doc.updateMany(eq2, addEachToSet);
logger.info("------------------>" + String.valueOf(updateMany2.getModifiedCount()));
}
2.5 删除
@Test
public void testDelete() {
// delete from users where username = ‘lison’
Bson eq = eq("username", "lison"); // 定义数据过滤器,username='lison'
DeleteResult deleteMany = doc.deleteMany(eq);
logger.info("------------------>" + String.valueOf(deleteMany.getDeletedCount()));// 打印受影响的行数
// delete from users where age >8 and age <25
Bson gt = gt("age", 8);// 定义数据过滤器,age > 8,所有过滤器的定义来自于Filter这个包的静态方法,需要频繁使用所以静态导入
// Bson gt = Filter.gt("age",8);
Bson lt = lt("age", 25);// 定义数据过滤器,age < 25
Bson and = and(gt, lt);// 定义数据过滤器,将条件用and拼接
DeleteResult deleteMany2 = doc.deleteMany(and);
logger.info("------------------>" + String.valueOf(deleteMany2.getDeletedCount()));// 打印受影响的行数
}
3.第二种方式:Pojo
3.1 连接MongoDB
private MongoDatabase db;
private MongoCollection<User> doc;
private MongoClient client;
@Before
public void init() {
// 编解码器的list
List<CodecRegistry> codecResgistes = new ArrayList<>();
// list加入默认的编解码器集合
codecResgistes.add(MongoClient.getDefaultCodecRegistry());
// 生成一个pojo的编解码器
CodecRegistry pojoCodecRegistry = CodecRegistries
.fromProviders(PojoCodecProvider.builder().automatic(true).build());
// list加入pojo的编解码器
codecResgistes.add(pojoCodecRegistry);
// 通过编解码器的list生成编解码器注册中心
CodecRegistry registry = CodecRegistries.fromRegistries(codecResgistes);
// 把编解码器注册中心放入MongoClientOptions
// MongoClientOptions相当于连接池的配置信息
MongoClientOptions build = MongoClientOptions.builder().codecRegistry(registry).build();
ServerAddress serverAddress = new ServerAddress("192.168.137.100", 27017);
client = new MongoClient(serverAddress, build);
db = client.getDatabase("lison");
doc = db.getCollection("users", User.class);
}
3.2 新增
@Test
public void insertDemo() {
User user = new User();
user.setUsername("cang");
user.setCountry("USA");
user.setAge(20);
user.setLenght(1.77f);
user.setSalary(new BigDecimal("6265.22"));
// 添加“address”子文档
Address address1 = new Address();
address1.setaCode("411222");
address1.setAdd("sdfsdf");
user.setAddress(address1);
// 添加“favorites”子文档,其中两个属性是数组
Favorites favorites1 = new Favorites();
favorites1.setCites(Arrays.asList("东莞", "东京"));
favorites1.setMovies(Arrays.asList("西游记", "一路向西"));
user.setFavorites(favorites1);
User user1 = new User();
user1.setUsername("chen");
user1.setCountry("China");
user1.setAge(30);
user1.setLenght(1.77f);
user1.setSalary(new BigDecimal("6885.22"));
Address address2 = new Address();
address2.setaCode("411000");
address2.setAdd("我的地址2");
user1.setAddress(address2);
Favorites favorites2 = new Favorites();
favorites2.setCites(Arrays.asList("珠海", "东京"));
favorites2.setMovies(Arrays.asList("东游记", "一路向东"));
user1.setFavorites(favorites2);
// 使用insertMany插入多条数据
doc.insertMany(Arrays.asList(user, user1));
}
3.3 查询
@Test
public void testFind() {
final List<User> ret = new ArrayList<>();
Block<User> printBlock = new Block<User>() {
@Override
public void apply(User t) {
System.out.println(t.toString());
ret.add(t);
}
};
// select * from users where favorites.cites has "东莞"、"东京"
Bson all = all("favorites.cites", Arrays.asList("东莞", "东京"));// 定义数据过滤器,喜欢的城市中要包含"东莞"、"东京"
FindIterable<User> find = doc.find(all);
find.forEach(printBlock);
logger.info("------------------>" + String.valueOf(ret.size()));
ret.removeAll(ret);
// select * from users where username like '%s%' and (contry= English or contry
// = USA)
String regexStr = ".*s.*";
Bson regex = regex("username", regexStr);// 定义数据过滤器,username like '%s%'
Bson or = or(eq("country", "English"), eq("country", "USA"));// 定义数据过滤器,(contry= English or contry = USA)
FindIterable<User> find2 = doc.find(and(regex, or));
find2.forEach(printBlock);
logger.info("------------------>" + String.valueOf(ret.size、()));
}
3.4 更新
@Test
public void testUpdate() {
// update users set age=6 where username = 'lison'
Bson eq = eq("username", "lison");// 定义数据过滤器,username = 'lison'
Bson set = set("age", 8);// 更新的字段.来自于Updates包的静态导入
UpdateResult updateMany = doc.updateMany(eq, set);
logger.info("------------------>" + String.valueOf(updateMany.getModifiedCount()));// 打印受影响的行数
// update users set favorites.movies add "小电影2 ", "小电影3" where favorites.cites
// has "东莞"
Bson eq2 = eq("favorites.cites", "东莞");// 定义数据过滤器,favorites.cites has "东莞"
Bson addEachToSet = addEachToSet("favorites.movies", Arrays.asList("小电影2 ", "小电影3"));// 更新的字段.来自于Updates包的静态导入
UpdateResult updateMany2 = doc.updateMany(eq2, addEachToSet);
logger.info("------------------>" + String.valueOf(updateMany2.getModifiedCount()));
}
3.5 删除
@Test
public void testDelete() {
// delete from users where username = ‘lison’
Bson eq = eq("username", "lison");// 定义数据过滤器,username='lison'
DeleteResult deleteMany = doc.deleteMany(eq);
logger.info("------------------>" + String.valueOf(deleteMany.getDeletedCount()));// 打印受影响的行数
// delete from users where age >8 and age <25
Bson gt = gt("age", 8);// 定义数据过滤器,age > 8,所有过滤器的定义来自于Filter这个包的静态方法,需要频繁使用所以静态导入
Bson lt = lt("age", 25);// 定义数据过滤器,age < 25
Bson and = and(gt, lt);// 定义数据过滤器,将条件用and拼接
DeleteResult deleteMany2 = doc.deleteMany(and);
logger.info("------------------>" + String.valueOf(deleteMany2.getDeletedCount()));// 打印受影响的行数
}
标签:username,Java,users,MongoDB,favorites,new,Bson,eq,客户端 来源: https://blog.csdn.net/zcdlove/article/details/110451648