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 -->- 1
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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>- 1
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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- 1
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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="${mongodb.writeFsync}" />
</mongo:mongo>- 1
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配置文件common-config.properties
mongo.dbname = test_db
mongo.username = test_user
mongo.password = test_pwd
mongo.replicaSet = 192.168.2.193:27017,192.168.2.192:27017
mongo.connectionsPerHost= 100
mongo.threadsAllowedToBlockForConnectionMultiplier=50
mongo.connectTimeout=3000
mongo.maxWaitTime=5000
mongo.autoConnectRetry=true
mongo.socketKeepAlive=true
mongo.socketTimeout=5000
mongo.slaveOk=true
mongo.writeNumber = 1
mongodb.writeFsync = true
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其他配置
<!-- 用户验证 -->
<bean id="userCredentials" class="org.springframework.data.authentication.UserCredentials">
<constructor-arg name="username" value="${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>- 1
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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;
}
}
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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)
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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);- 1
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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);- 1
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查询
单条查询
DBObject query = new BasicDBObject("_id", id);
DBObject fields = new BasicDBObject();
mongoTemplate.getCollection(collection).findOne(query, fields)- 1
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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());
} - 1
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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())));- 1
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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))- 1
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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);- 1
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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("$match", query);
// 聚合查询
AggregationOutput output = mongoTemplate.getCollection(collection).aggregate(match,group);
for( Iterator< DBObject > it = output.results().iterator(); it.hasNext(); ){
BasicDBObject dbo = ( BasicDBObject ) it.next();
retMap = com.alibaba.fastjson.JSON.parseObject(dbo.toString(), Map.class);
}
return retMap;- 1
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LBS查询（附近的人）
if (query == null)
query = new BasicDBObject();
List<DBObject> pipeLine = new ArrayList<>();
BasicDBObject pipeBasicDBObject = new BasicDBObject();
pipeBasicDBObject.append("near", new double[] { longitude, latitude })
.append("distanceField", "dist.calculated")
.append("spherical", true).append("query", query)
.append("distanceMultiplier", 6371);
if (qType == 1) {
double maxDistance = distance/6371.0000;
pipeBasicDBObject.append("maxDistance", maxDistance);
}
BasicDBObject aggregate = new BasicDBObject("$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;- 1
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删除
DBObject deleAim = new BasicDBObject();
deleAim.put("_id", id);
mongoTemplate.getCollection(collection).remove(dbObject)- 1
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ps:上面示例不全，只附上了重要的代码。