近期項目做了次架構調整,原來是使用MySQL+GeoHash來儲存LBS資料(地理位置資訊),現在使用NOSQL資料庫Mongodb來儲存LBS資料(地理位置資訊)。由於項目是基於Spring MVC開發的,今天就Mongodb的使用做下總結。 Spring MVC 整合Mongodb
1.載入jar,maven配置
<!-- 新加入的spring整合mongodb的包 開始 --> <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 結束 -->
2.配置
Mongodb分2種方法整合,分別是單機和叢集方式。
單機配置
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>
設定檔common-config.properties
mongo.dbname = test_db #資料庫名稱mongo.password = test_pwd #密碼mongo.username = test_user #使用者名稱mongo.host = 127.0.0.1 #主機mongo.port= 27017 #連接埠號碼mongo.connectionsPerHost= 8 #一個線程變為可用的最大阻塞數mongo.threadsAllowedToBlockForConnectionMultiplier= 4 #線程隊列數,它以上面connectionsPerHost值相乘的結果就是線程隊列最大值mongo.connectTimeout= 1500 #連線逾時時間(毫秒)mongo.maxWaitTime= 1500 #最大等待時間mongo.autoConnectRetry= true #自動重連mongo.socketKeepAlive= true #scoket保持活動mongo.socketTimeout=1500 #scoket逾時時間mongo.slaveOk=true #讀寫分離
叢集配置
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="${mongodb.writeFsync}" /> </mongo:mongo>
設定檔common-config.properties
mongo.dbname = test_dbmongo.username = test_usermongo.password = test_pwdmongo.replicaSet = 192.168.2.193:27017,192.168.2.192:27017mongo.connectionsPerHost= 100mongo.threadsAllowedToBlockForConnectionMultiplier=50mongo.connectTimeout=3000mongo.maxWaitTime=5000mongo.autoConnectRetry=truemongo.socketKeepAlive=truemongo.socketTimeout=5000mongo.slaveOk=truemongo.writeNumber = 1mongodb.writeFsync = true
其他配置
<!-- 使用者驗證 --> <bean id="userCredentials" class="org.springframework.data.authentication.UserCredentials"> <constructor-arg name="username" value="${mongo.username}" /> <constructor-arg name="password" value="${mongo.password}" /> </bean> <!-- mongo的工廠,通過它來取得mongo執行個體,dbname為mongodb的資料庫名,沒有的話會自動建立 --> <bean id="mongoDbFactory" class="org.springframework.data.mongodb.core.SimpleMongoDbFactory"> <constructor-arg ref="mongo" /> <constructor-arg value="${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的主要操作對象,所有對mongodb的增刪改查的操作都是通過它完成 --> <bean id="mongoTemplate" class="org.springframework.data.mongodb.core.MongoTemplate"> <constructor-arg name="mongoDbFactory" ref="mongoDbFactory" /> <constructor-arg name="mongoConverter" ref="mappingMongoConverter" /> </bean>
Mongodb增刪改查
1.Mongodb物件模型
Dynamic.java
@Document(collection = "Dynamic")public class Dynamic implements Serializable{ /** * */ private static final long serialVersionUID = 179822189115264434L; private String _id; private String userId; //使用者ID private Date releaseDate;//發布日期 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.程式碼範例
新增
Dynamic dynamic = New Dynamic();dynamic.setUserId("10023");// ...// set屬性,自己補全// 轉換為DBObjectDBObject dbObject = BeanUtil.bean2DBObject(dynamic); db.removeField("serialVersionUID");// 儲存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條件 updateSetValue:更新值 true:是否沒有記錄時插入 false:是否多行更新mongoTemplate.getCollection(collection).update(aim, updateSetValue , true, false);
數組更新
DBObject addAim = new BasicDBObject(); addAim.put("_id", id);//資料中push值DBObject updateSetValue = new BasicDBObject("$push", addedValue);//增加updateSetValue.put("$inc", new BasicDBObject("commentSize", 1));mongoTemplate.getCollection(collection).update(addAim, updateSetValue);
查詢
單條查詢
DBObject query = new BasicDBObject("_id", id);DBObject fields = new BasicDBObject();mongoTemplate.getCollection(collection).findOne(query, fields)
分頁查詢
int pageSize = 20;int pageNum = 1;DBObject fields = new BasicDBObject();//排序,-1 降序DBObject orderBy = new BasicDBObject("release_date", -1);//分頁查詢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());}
範圍查詢
DBObject query = new BasicDBObject();// $lte 小於等於,$lt 小於query.put( "release_date", new BasicDBObject("$lte", DateUtil.parseDate( maxTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS .getValue())));// $gte 大於等於,$gt 大於query.put( "release_date", new BasicDBObject("$gte", DateUtil.parseDate( minTime, DateStyle.YYYY_MM_DD_HH_MM_SS_SSS .getValue())));
in 和not in 查詢
// $in 查詢DBObject query = new BasicDBObject("qd_id", new BasicDBObject( "$in", idStr))// $nin 查詢DBObject query = new BasicDBObject("qd_id", new BasicDBObject( "$nin", idStr))
or 查詢
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);
彙總查詢sum和group by
Map retMap = new HashMap<>();// $group 分組,newsCount別名,$sum和,$commentSize欄位名 String groupStr = "{$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);// 彙總查詢 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查詢(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"