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_dbmongo.username = test_usermongo.password = test_pwdmongo.replicaSet = 192.168.2.193:27017,192.168.2.192:27017mongo.connectionsPerHost= 100mongo.threadsAllowedToBlockForConnectionMultiplier=50mongo.connectTimeout=3000mongo.maxWaitTime=5000mongo.autoConnectRetry=truemongo.socketKeepAlive=truemongo.socketTimeout=5000mongo.slaveOk=truemongo.writeNumber = 1mongodb.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DBObjectDBObject 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$setDBObject updateSetValue = new BasicDBObject("$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。

至此，总共介绍了常用查询，聚合查询，删除，保存，geo查询等方法。

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