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。
1.加载jar，maven配置
<!-- 新加入的spring整合mongodb的包 开始 --><dependency><groupId&db</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
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<mongo:mongo id="mongo" host="${mongo.host}" port="${mongo.port}" > <mongo:options connections-per-host="${tionsPerHost}" threads-allowed-to-block-for-connection-multiplier="${mongo.threadsAllowedToBlockForConnectionMultiplier}" connect-timeout="${tTimeout}" max-wait-time="${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 tionsPerHost= 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 tTimeout= 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
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<mongo:mongo id="mongo" replica-set="${plicaSet}"> <mongo:options connections-per-host="${tionsPerHost}" threads-allowed-to-block-for-connection-multiplier="${mongo.threadsAllowedToBlockForConnectionMultiplier}" connect-timeout="${tTimeout}" 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="${mongodb.writeFsync}" /> </mongo:mongo>配置文件common-config.properties
mongo.dbname = test_db
mongo.username = test_user
mongo.password = test_pwd
plicaSet = 192.168.2.193:27017,192.168.2.192:tionsPerHost= 100 mongo.threadsAllowedToBlockForConnectionMultiplier=tTimeout=3000 mongo.maxWaitTime=5000 mongo.autoConnectRetry=true mongo.socketKeepAlive=true mongo.socketTimeout=5000 mongo.slaveOk=true mongo.writeNumber = 1 mongodb.writeFsync = true 其他配置
<!-- 用户验证 --><bean id="userCredentials" class="org.springframework.data.authentication.UserCredentials"> <constructor-arg name="username" value="${mongo.username}" /> <constructor-arg name="password" value="${mongo.password}" /> </bean> <!-- mongo的工厂，通过它来取得mongo实例,dbname为mongodb的数据库名，没有的话会自动创建 --> <bean id="mongoDbFactory" class="org.db.core.SimpleMongoDbFactory"> <constructor-arg ref="mongo" /> <constructor-arg value="${mongo.dbname}" /> <constructor-arg ref="userCredentials" /> </bean> <bean id="mappingContext" class="org.db.core.mapping.MongoMappingContext" /> <bean id="defaultMongoTypeMapper" class="org.vert.DefaultMongoTypeMapper"> <constructor-arg name="typeKey"> <null /> </constructor-arg> </bean> <!-- collection的映射 --> <bean id="mappingMongoConverter" class="org.vert.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.db.core.MongoTemplate"> <constructor-arg name="mongoDbFactory" ref="mongoDbFactory" /> <constructor-arg name="mongoConverter" ref="mappingMongoConverter" /> </bean>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) { leaseDate = 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
Collection(collection).save(dbObject)
更新
普通更新
DBObject aim = new BasicDBObject("_id", id);
DBObject setValue = new BasicDBObject();
setValue.put("loc", Loc());
// 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 Collection(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)); Collection(collection).update(addAim, updateSetValue);查询
单条查询
DBObject query = new BasicDBObject("_id", id);
DBObject fields = new BasicDBObject(); Collection(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 = Collection(collection) .find(query, fields).skip((pageNum - 1) * pageSize) .limit(pageSize).sort(orderBy); while (cursor.hasNext()) { list.()); } 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( "$in", Array()))); orArry.add(new BasicDBObject("_id", new BasicDBObject("$in", Array()))); 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:"$supportSize"}}}";DBObject group = (DBObject) JSON.parse(groupStr); String minTime = (("start") + " 00:00:00:000"; String maxTime = (("end") + " 00:00:00:000"; BasicDBObject query = new BasicDBObject(); query.put( "release_date", new BasicDBObject("$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("$match", query); // 聚合查询 AggregationOutput output = Collection(collection).aggregate(match,group); for( Iterator< DBObject > it = sults().iterator(); it.hasNext(); ){ BasicDBObject dbo = ( BasicDBObject ) it.next(); retMap = com.alibaba.fastjson.JSON.String(), Map.class); } return retMap;LBS查询（附近的人）
if (query == null)query = new BasicDBObject();List<DBObject> pipeLine = new ArrayList<>(); BasicDBObject pipeBasicDBObject = new BasicDBObject(); pipeBasicDBObject.append("near", new double[] { longitude, latitude }) .append("distanceField", "dist.calculated") .append("spherical", true).append("query", query) .append("distanceMultiplier", 6371); if (qType == 1) { double maxDistance = distance/6371.0000; pipeBasicDBObject.append("maxDistance", maxDistance); } BasicDBObject aggregate = new BasicDBObject("$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 = Collection(collection).aggregate( pipeLine, AggregationOptions.builder().build()); while (cursor.hasNext()) { DBObject dBObject = (); list.add(dBObject); } } catch (Exception e) { e.printStackTrace(); } return list;删除
DBObject deleAim = new BasicDBObject();
deleAim.put("_id", id);
Collection(collection).remove(dbObject)ps:上面示例不全，只附上了重要的代码。
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