zoukankan html css js c++ java

Spring MVC中使用Mongodb总结

近期项目做了次架构调整，原来是使用MySQL+GeoHash来存储LBS数据（地理位置信息），现在使用NOSQL数据库 MongoDB来存储LBS数据（地理位置信息）。由于项目是基于spring MVC开发的，今天就Mongodb的使用做下总结。

Spring MVC 集成Mongodb

1.加载jar，maven配置

        <!-- 新加入的spring整合mongodb的包 开始 -->
        <dependency>
            <groupId>org.mongodb</groupId>
            <artifactId>mongo-java-driver</artifactId>
            <version>2.13.0-rc0</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-mongodb</artifactId>
            <version>1.7.1.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-mongodb-cross-store</artifactId>
            <version>1.7.1.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-mongodb-log4j</artifactId>
            <version>1.7.1.RELEASE</version>
        </dependency>
        <!-- 新加入的spring整合mongodb的包 结束 -->

2.配置
Mongodb分2种方法集成，分别是单机和集群方式。
单机配置
applicationContext.xml

<mongo:mongo id="mongo" host="${mongo.host}" port="${mongo.port}" >
        <mongo:options connections-per-host="${mongo.connectionsPerHost}" 
            threads-allowed-to-block-for-connection-multiplier="${mongo.threadsAllowedToBlockForConnectionMultiplier}" 
            connect-timeout="${mongo.connectTimeout}" max-wait-time="${mongo.maxWaitTime}" 
            auto-connect-retry="${mongo.autoConnectRetry}" socket-keep-alive="${mongo.socketKeepAlive}" 
            socket-timeout="${mongo.socketTimeout}" slave-ok="${mongo.slaveOk}" write-number="1" 
            write-timeout="0" write-fsync="true"/> 
    </mongo:mongo>

配置文件common-config.properties

mongo.dbname = test_db #数据库名称
mongo.password = test_pwd #密码
mongo.username = test_user #用户名
mongo.host = 127.0.0.1 #主机
mongo.port= 27017 #端口号
mongo.connectionsPerHost= 8 #一个线程变为可用的最大阻塞数
mongo.threadsAllowedToBlockForConnectionMultiplier= 4 #线程队列数,它以上面connectionsPerHost值相乘的结果就是线程队列最大值
mongo.connectTimeout= 1500 #连接超时时间（毫秒）
mongo.maxWaitTime= 1500 #最大等待时间
mongo.autoConnectRetry= true #自动重连
mongo.socketKeepAlive= true #scoket保持活动
mongo.socketTimeout=1500 #scoket超时时间
mongo.slaveOk=true #读写分离

集群配置
applicationContext.xml

<mongo:mongo  id="mongo"  replica-set="${mongo.replicaSet}">
        <mongo:options connections-per-host="${mongo.connectionsPerHost}"
            threads-allowed-to-block-for-connection-multiplier="${mongo.threadsAllowedToBlockForConnectionMultiplier}"
            connect-timeout="${mongo.connectTimeout}" max-wait-time="${mongo.maxWaitTime}" auto-connect-retry="${mongo.autoConnectRetry}"
            socket-keep-alive="${mongo.socketKeepAlive}" socket-timeout="${mongo.socketTimeout}" slave-ok="${mongo.slaveOk}"
            write-number="${mongo.writeNumber}" write-fsync="${mongodb.writeFsync}" />
    </mongo:mongo>

配置文件common-config.properties

mongo.dbname = test_db
mongo.username = test_user
mongo.password = test_pwd
mongo.replicaSet = 192.168.2.193:27017,192.168.2.192:27017
mongo.connectionsPerHost= 100
mongo.threadsAllowedToBlockForConnectionMultiplier=50
mongo.connectTimeout=3000
mongo.maxWaitTime=5000
mongo.autoConnectRetry=true
mongo.socketKeepAlive=true
mongo.socketTimeout=5000
mongo.slaveOk=true
mongo.writeNumber = 1
mongodb.writeFsync = true

其他配置

<!-- 用户验证 -->
    <bean id="userCredentials" class="org.springframework.data.authentication.UserCredentials">
        <constructor-arg name="username" value="${mongo.username}" />
        <constructor-arg name="password" value="${mongo.password}" />
    </bean>


    <!-- mongo的工厂，通过它来取得mongo实例,dbname为mongodb的数据库名，没有的话会自动创建 -->
    <bean id="mongoDbFactory"
        class="org.springframework.data.mongodb.core.SimpleMongoDbFactory">
        <constructor-arg ref="mongo" />
        <constructor-arg value="${mongo.dbname}" />
        <constructor-arg ref="userCredentials" />
    </bean>

    <bean id="mappingContext"
        class="org.springframework.data.mongodb.core.mapping.MongoMappingContext" />

    <bean id="defaultMongoTypeMapper"
        class="org.springframework.data.mongodb.core.convert.DefaultMongoTypeMapper">
        <constructor-arg name="typeKey">
            <null />
        </constructor-arg>
    </bean>

    <!-- collection的映射 -->
    <bean id="mappingMongoConverter"
        class="org.springframework.data.mongodb.core.convert.MappingMongoConverter">
        <constructor-arg name="mongoDbFactory" ref="mongoDbFactory" />
        <constructor-arg name="mappingContext" ref="mappingContext" />
        <property name="typeMapper" ref="defaultMongoTypeMapper" />
    </bean>

    <!-- mongodb的主要操作对象，所有对mongodb的增删改查的操作都是通过它完成 -->
    <bean id="mongoTemplate" class="org.springframework.data.mongodb.core.MongoTemplate">
        <constructor-arg name="mongoDbFactory" ref="mongoDbFactory" />
        <constructor-arg name="mongoConverter" ref="mappingMongoConverter" />
    </bean>

Mongodb增删改查

1.Mongodb对象模型
Dynamic.Java


@Document(collection = "Dynamic")
public class Dynamic implements Serializable{

    /**
     * 
     */
    private static final long serialVersionUID = 179822189115264434L;
    private String _id; 
    private String userId;     //用户ID    
    private Date releaseDate;//发布日期 
    private double []loc = new double[2];//位置

    public void setId(String _id) {
        this._id = _id;
    }

    public String getId() {
        return this._id;
    }

    public String getUserId() {
        return userId;
    }
    public void setUserId(String userId) {
        this.userId = userId;
    }
    public Date getReleaseDate() {
        return releaseDate;
    }
    public void setReleaseDate(Date releaseDate) {
        this.releaseDate = releaseDate;
    }
    public double[] getLoc() {
        return loc;
    }
    public void setLoc(double[] loc) {
        this.loc = loc;
    }



}

2.代码示例
新增

Dynamic dynamic = New Dynamic();
dynamic.setUserId("10023");
// ...
// set属性，自己补全
// 转换为DBObject
DBObject dbObject = BeanUtil.bean2DBObject(dynamic);
        db.removeField("serialVersionUID");
// 保存
mongoTemplate.getCollection(collection).save(dbObject)

更新
普通更新

DBObject aim = new BasicDBObject("_id", id);
DBObject setValue = new BasicDBObject();
setValue.put("loc", loc.getLoc());
// 更新的值，用$set
DBObject updateSetValue = new BasicDBObject("$set", setValue);

//更新,aim:where条件 updateSetValue:更新值 true:是否没有记录时插入 false:是否多行更新
mongoTemplate.getCollection(collection).update(aim, updateSetValue , true,
                false);

数组更新

DBObject addAim = new BasicDBObject();
        addAim.put("_id", id);
//数据中push值
DBObject updateSetValue = new BasicDBObject("$push", addedValue);
//增加
updateSetValue.put("$inc", new BasicDBObject("commentSize", 1));
mongoTemplate.getCollection(collection).update(addAim, updateSetValue);

查询
单条查询

DBObject query = new BasicDBObject("_id", id);
DBObject fields = new BasicDBObject();
mongoTemplate.getCollection(collection).findOne(query, fields)

分页查询

int pageSize = 20;
int pageNum = 1;
DBObject fields = new BasicDBObject();
//排序，-1 降序
DBObject orderBy = new BasicDBObject("release_date", -1);

//分页查询
List<DBObject> list = new ArrayList<>();
Cursor cursor = mongoTemplate.getCollection(collection)
        .find(query, fields).skip((pageNum - 1) * pageSize)
        .limit(pageSize).sort(orderBy);
while (cursor.hasNext()) {
    list.add(cursor.next());
}

范围查询

DBObject query = new BasicDBObject();
// $lte 小于等于，$lt 小于
query.put(
        "release_date",
        new BasicDBObject("$lte", DateUtil.parseDate(
                maxTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS
                        .getValue())));
// $gte 大于等于，$gt 大于
query.put(
        "release_date",
        new BasicDBObject("$gte", DateUtil.parseDate(
                minTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS
                        .getValue())));

in 和not in 查询

// $in 查询
DBObject query = new BasicDBObject("qd_id", new BasicDBObject(
                    "$in", idStr))
// $nin 查询
DBObject query = new BasicDBObject("qd_id", new BasicDBObject(
                    "$nin", idStr))

or 查询

List orArry = new ArrayList<>();
                orArry.add(new BasicDBObject("qd_id", new BasicDBObject(
                        "$in", qd_ids.toArray())));
                orArry.add(new BasicDBObject("_id", new BasicDBObject("$in", recommondIds.toArray())));
                query.put("$or", orArry);

聚合查询sum和group by

Map retMap = new HashMap<>();
// $group 分组，newsCount别名，$sum和，$commentSize字段名
        String groupStr = "{$group:{_id:null,newsCount:{$sum:1},commentCount:{$sum:"$commentSize"},supportCount:{$sum:"$supportSize"}}}";
        DBObject group = (DBObject) JSON.parse(groupStr);
        String minTime = (String)params.get("start") + " 00:00:00:000";
        String maxTime = (String)params.get("end") + " 00:00:00:000";
        BasicDBObject query = new BasicDBObject();
        query.put(
                "release_date",
                new BasicDBObject("$gte", DateUtil.parseDate(
                        minTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS
                                .getValue())));
        query.put(
                "release_date",
                new BasicDBObject("$lte", DateUtil.parseDate(
                        maxTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS
                                .getValue())).append("$gte",
                        DateUtil.parseDate(minTime,
                                DateStyle.YYYY_MM_DD_HH_MM_SS_SSS
                                        .getValue())));
        DBObject match = new BasicDBObject("$match", query);
// 聚合查询
        AggregationOutput output = mongoTemplate.getCollection(collection).aggregate(match,group);
        for( Iterator< DBObject > it = output.results().iterator(); it.hasNext(); ){
            BasicDBObject dbo = ( BasicDBObject ) it.next();
            retMap = com.alibaba.fastjson.JSON.parseObject(dbo.toString(), Map.class);
        }
        return retMap;

LBS查询（附近的人）

if (query == null)
            query = new BasicDBObject();

List<DBObject> pipeLine = new ArrayList<>();
BasicDBObject pipeBasicDBObject = new BasicDBObject();

pipeBasicDBObject.append("near", new double[] { longitude, latitude })
.append("distanceField", "dist.calculated")
.append("spherical", true).append("query", query)
.append("distanceMultiplier", 6371);

if (qType == 1) {
    double maxDistance = distance/6371.0000;
    pipeBasicDBObject.append("maxDistance", maxDistance);
}

BasicDBObject aggregate = new BasicDBObject("$geoNear",
        pipeBasicDBObject);
BasicDBObject orderObject = new BasicDBObject("$sort",
        new BasicDBObject().append("dist.calculated", 1));

pipeLine.add(aggregate);
pipeLine.add(orderObject);

int startNo = (pageNum-1)*pageSize;
int limit = pageSize;

if(pageNum == 1)
{
    limit = limit+1;
}
else
{
    startNo = startNo+1;
}

if (qType == 1) {
    BasicDBObject skipObject = new BasicDBObject("$skip", startNo);
    pipeLine.add(skipObject);
}

BasicDBObject limitObject = new BasicDBObject("$limit", limit);
pipeLine.add(limitObject);
List<DBObject> list = new LinkedList<>();
try {
    Cursor cursor = mongoTemplate.getCollection(collection).aggregate(
            pipeLine, AggregationOptions.builder().build());
    while (cursor.hasNext()) {
        DBObject dBObject = cursor.next();
        list.add(dBObject);
    }
} catch (Exception e) {
    e.printStackTrace();
}
return list;

删除

DBObject deleAim = new BasicDBObject();
deleAim.put("_id", id);
mongoTemplate.getCollection(collection).remove(dbObject)

ps:上面示例不全，只附上了重要的代码。

查看全文

相关阅读:
node
前端工程师的思考
 前端工程师需要具备的条件
 产品经理必须掌握的名词
 金融人必须掌握的词汇
 央企降两金、降杠杆的 “兵器谱”
抽屉协议
 清分、清算、结算的关系
 如何有效规避风险
 浅谈在项目管理过程中风险管理

原文地址：https://www.cnblogs.com/alexxs/p/6067946.html