一,问题描述
数据格式: id, timeStamp,count
条件1:查询 某个时间段 内的数据: timeStamp BETWEEN startTime AND endTime。比如 timeStamp BETWEEN 1499875200 AND 1499875600
条件2:记录 的 id 字段 属于某集合: id IN (1001,1002,1003)
条件3:记录 的count字段 大于某个阈值,比如: count > 10000
二,代码实现
条件1实现如下, $gte (greater equal)表示“大于等于 ”。【$lte(lower equal)】表示“小于等于”
private DBObject timeCondi(long startTimeStamp, long endTimeStamp){
DBObject queryCondition = new BasicDBObject("$gte", startTimeStamp).append("$lte", endTimeStamp);
BasicDBObject query = new BasicDBObject("timeStamp", queryCondition);
return query;
}
条件2的实现如下,使用 $in ArrayList<Integer> 来表示 id IN (1001,1002,1003)
private DBObject inCondi() {
List<Integer> idList = new ArrayList<Integer>();
idList.add(1001);
idList.add(1002);
idList.add(1003); BasicDBObject inQuery = new BasicDBObject();
inQuery.put("id", new BasicDBObject("$in", idList));
return inQuery;
}
组合条件1 和 条件2 查询:(条件1 AND 条件2).List 将所有 AND 组合的条件add进去,然后使用 $and 组合。
private DBObject andQuery(long startTimeStamp, long endTimeStamp) {
DBObject timeCondi = timeCondi(startTimeStamp, endTimeStamp);
DBObject inCondi = inCondi(); List<DBObject> andCondi = new ArrayList<DBObject>();
andCondi.add(timeCondi);//组合 条件1
andCondi.add(inCondi);//组合 条件2 BasicDBObject andQuery = new BasicDBObject();
andQuery.put("$and", andCondi);
return andQuery;
}
条件3:记录 的count字段 大于某个阈值,比如: count > 10000
private DBObject countCondi(int size) {
DBObject queryCondition = new BasicDBObject("$gte", size);
BasicDBObject query = new BasicDBObject("count", queryCondition);
return query;
}
WINDOWS下安装好MongoDB后,MongoDB采用Clietn--Server 模式。WIN10下启动MongoDB服务端:-dbpath 指定 数据存储目录(可自己指定一个)
D:\Program Files\MongoDB\Server\3.4\bin>.\mongod.exe -dbpath ..\data
另起一个 Cmd命令行,输入:
D:\Program Files\MongoDB\Server\3.4\bin>.\mongo.exe
就可以以Shell方式操作MongoDB了。
输入 exit 退出
D:\Program Files\MongoDB\Server\3.4\bin>netstat -ano | findstr 27017 查看端口是否开启。
另外,推荐一个MongoDB的可视化工具:RoboMongoDB。执行相应的查询语句如下:
三,新版本MongoDB(3.0版本以上),使用Filters来组合多个条件
查询 timeStamp 在[startTimeStamp, endTimeStamp) 内的所有document
private static Bson timeBetweenCondition(long startTimeStamp, long endTimeStamp) {
Bson condition = Filters.and(Filters.gte("timeStamp", startTimeStamp), Filters.lt("timeStamp", endTimeStamp));
return condition;
}
上面的示例,使用Filters的and方法连接了两个条件,其实还可以连接多个条件:比如查询 timeStamp 在[startTimeStamp, endTimeStamp) 区间内,并且 uid 在List<Long>uids 内的document
private static Bson multipleAndCondition(long startTimeStamp, long endTimeStamp, List<Long> uids) {
Bson condition = Filters.and(Filters.gte("timeStamp", startTimeStamp), Filters.lt("timeStamp", endTimeStamp), Filters.in("uid", uids));
return condition;
}
Filters还组合了 IN 条件:比如,查询 uid 在[123, 456, 789]中,可用如下条件:
private static Bson uidInCondition(List<Long> uids) {
Bson condition = Filters.in("uid", uids);
return condition;
}
具体更多的条件查询,可查看Filters的源代码。关于Filters的更多的用法可参考:Filters的若干使用示例
四,MongoDB查询时,过滤某些字段
使用Document对象来指定需要查询或者排除的字段。0 表示不返回该字段的值,1 表示返回该字段的值。
//0 表示 不返回 该字段, 1 表示 返回该字段
private static Document fetchFields() {
Document fetchFields = new Document();
fetchFields.put("_id", 0);//查询的结果 不返回 _id 字段
fetchFields.put("uid", 1);//返回 uid 字段
fetchFields.put("chat", 1);//返回 chat 字段
return fetchFields;
}
然后再将 fetchFields 对象传入 project()方法即可,如下:
collection.find(timeBetweenCondition(startTimeStamp, endTimeStamp)).projection(fetchFields())
整个完整示例参考:
import com.mongodb.MongoClient;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoCursor;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.Filters;
import org.bson.Document;
import org.bson.conversions.Bson; import java.time.LocalDateTime;
import java.time.ZoneId;
import java.util.Arrays;
import java.util.List;
//import static com.mongodb.client.model.Filters.*; /**
* Created by Administrator on 2017/10/20.
*/
public class MongoUtil {
private static final String HOST = "localhost";
private static final int PORT = 27017;
private static final String DB_NAME = "test";
private static final MongoClient mongoClient = new MongoClient(HOST, PORT);
private static MongoDatabase getDataBase() {
return mongoClient.getDatabase(DB_NAME);
} private static MongoCollection<Document> getCollection(String collName) {
return getDataBase().getCollection(collName);
} private static Bson timeBetweenCondition(long startTimeStamp, long endTimeStamp) {
Bson condition = Filters.and(Filters.gte("timeStamp", startTimeStamp), Filters.lt("timeStamp", endTimeStamp));
return condition;
} private static Bson uidInCondition(List<Long> uids) {
Bson condition = Filters.in("uid", uids);
return condition;
} private static Bson multipleAndCondition(long startTimeStamp, long endTimeStamp, List<Long> uids) {
Bson condition = Filters.and(Filters.gte("timeStamp", startTimeStamp), Filters.lt("timeStamp", endTimeStamp), Filters.in("uid", uids));
return condition;
} //0 表示 不抽取该字段, 1 表示 抽取该字段
private static Document fetchFields() {
Document fetchFields = new Document();
fetchFields.put("_id", 0);//查询的结果 不返回 _id 字段
fetchFields.put("uid", 1);//返回 uid 字段
fetchFields.put("chat", 1);//返回 chat 字段
return fetchFields;
} public static void main(String[] args) {
MongoCollection collection = getCollection("mycollection_name");
LocalDateTime today = LocalDateTime.of(2017, 8, 29, 0, 0, 0);
LocalDateTime tomorrow = today.plusDays(1); long startTimeStamp = today.atZone(ZoneId.systemDefault()).toEpochSecond();
long endTimeStamp = tomorrow.atZone(ZoneId.systemDefault()).toEpochSecond();
Bson andCondition = multipleAndCondition(startTimeStamp, endTimeStamp, Arrays.asList(65496L)); // Bson andCondition = timeBetweenCondition(startTimeStamp, endTimeStamp);
Document fetchFields = fetchFields();
MongoCursor<Document> cursor = collection.find(andCondition).projection(fetchFields).iterator(); long count = collection.count(andCondition);
System.out.println(count);
while (cursor.hasNext()) {
Document document = cursor.next();
String chat = (String) document.get("chat");
Long uid = (Long) document.get("uid");
System.out.println("chat:" + chat + ", uid:" + uid);
}
}
}
五:参考文献
https://www.mkyong.com/mongodb/java-mongodb-query-document/
http://farenda.com/mongodb/mongodb-filtering-sorting-and-projections/
原文:http://www.cnblogs.com/hapjin/p/7450309.html