MongoDB mongoTemplate查询条作组合例子

MongoDB mongoTemplate查询条作组合例子


常规查询

public DeviceOnlineStatisticsModel findByKeyAndTimeDateMax(String key) {
	Sort sort = new Sort(new Order(Direction.DESC, "timeDate"));
	Criteria criteria = Criteria.where("key").is(key);  //
	Query query = new Query(criteria);
	query.with(sort).limit(1);

	List<DeviceOnlineStatisticsModel> deviceOnlineStatisticsModelList = mongoTemplate.find(query,
			DeviceOnlineStatisticsModel.class);

	if (deviceOnlineStatisticsModelList.size() == 0) {
		return null;
	}
	return deviceOnlineStatisticsModelList.get(0);
}

public List<DeviceOnlineReport> findBetweenTimeDate(Date timeDateStart, Date timeDateEnd) {
	Criteria criteria = Criteria.where("timeDate").gte(timeDateStart).lt(timeDateEnd);
	Query query = new Query(criteria);

	return mongoTemplate.find(query, DeviceOnlineReport.class);
}

Criteria//是条件
Sort//排序
Query//查询语句


聚合查询

public DeviceOnlineReport findtest() {
	TypedAggregation<DeviceOnlineReport> agg = Aggregation.newAggregation(DeviceOnlineReport.class,
			Aggregation.group("onlineStatus").count().as("num"),
			Aggregation.project("num").and("onlineStatus").previousOperation()// 结果包含那些字段（num）,挑选所需的字段，用"onlineStatus"显示分组的类型，并且不输出以“_id”分组的结果
	);
	System.out.println(" agg == " + agg.toString());
	// { "aggregate" : "__collection__" , "pipeline" : [ { "$group" : {"_id" : "$onlineStatus" , "num" : { "$sum" : 1}}} , { "$project" : {"num" : 1 , "_id" : 0 , "onlineStatus" : "$_id"}}]}
	AggregationResults<BasicDBObject> result = mongoTemplate.aggregate(agg, BasicDBObject.class);
	// [{ "num" : 3 , "onlineStatus" : "1"}, { "num" : 3 , "onlineStatus" :"0"}]


	result.getMappedResults();

	System.out.println(" result.getMappedResults == " + result.getMappedResults().toString());
	List list = new ArrayList<>();

	DeviceOnlineReport deviceOnlineReport = new DeviceOnlineReport();

	return deviceOnlineReport;

}

public DeviceOnlineReport findtest3() {

	List<String> collection = new ArrayList<>();
	collection.add("0");
	collection.add("1");

	TypedAggregation<DeviceOnlineReport> agg = Aggregation.newAggregation(DeviceOnlineReport.class,
			Aggregation.match(Criteria.where("onlineStatus").in(collection)),  //条件匹配 (timeDate)minute(timeDate)
			Aggregation.project("timeDate").andExpression("hour(timeDate)").as("hour"), //andExpression对某个字段执行Mongo命令，并作为新的字段（testTime）
			Aggregation.group("hour").count().as("num"),
			Aggregation.project("num").and("hour").previousOperation()// 结果包含那些字段（num）,挑选所需的字段，用"onlineStatus"显示分组的类型，并且不输出以“_id”分组的结果
	);
	System.out.println(" agg == " + agg.toString());
	//{ "aggregate" : "__collection__" , "pipeline" : [ { "$match" : { "onlineStatus" : { "$in" : [ "0" , "1"]}}} , { "$project" : { "timeDate" : 1 , "hour" : { "$hour" : [ "$timeDate"]}}} , { "$group" : { "_id" : "$hour" , "num" : { "$sum" : 1}}} , { "$project" : { "num" : 1 , "_id" : 0 , "hour" : "$_id"}}]}

	AggregationResults<BasicDBObject> result = mongoTemplate.aggregate(agg, BasicDBObject.class);//BasicDBObject

	result.getMappedResults();

	System.out.println(" result.getMappedResults == " + result.getMappedResults().toString());
	//[{ "num" : 6 , "hour" : 5}]

	List list = new ArrayList<>();

	DeviceOnlineReport deviceOnlineReport = new DeviceOnlineReport();

	return deviceOnlineReport;
}

public List<OnlineTime> deviceOnlineTimeStatisticsFromData(
		DeviceOnlineTimeStatisticsParamModel deviceOnlineTimeStatisticsParamModel) {
	String logString = "DeviceOnlineTimeStatisticsService deviceOnlineTimeStatisticsService: ";

	logger.info(logString + "deviceOnlineTimeStatisticsParamModel == "
			+ deviceOnlineTimeStatisticsParamModel.toString());

	// 构造符合条件的Criteria
	String deviceId = deviceOnlineTimeStatisticsParamModel.getDeviceId();
	String deviceType = deviceOnlineTimeStatisticsParamModel.getDeviceType();
	String modelNo = deviceOnlineTimeStatisticsParamModel.getModelNo();
	String cityId = deviceOnlineTimeStatisticsParamModel.getCityId();

	Date startDate = deviceOnlineTimeStatisticsParamModel.getStartDate();
	Date endDate = deviceOnlineTimeStatisticsParamModel.getEndDate();

	if (startDate == null) {
		startDate = new Date(0, 0, 1);
	}

	if (endDate == null) {
		endDate = new Date();
	}

	logger.info(logString + " startDate == " + startDate);
	logger.info(logString + " endDate == " + endDate);

	// 结束时间小于起始时间
	if (endDate.before(startDate)) {
		logger.info(logString + " endDate < startDate");
		return null;
	}

	Criteria criteria = null;
	if (StringUtils.isNotBlank(deviceType)) {
		criteria = Criteria.where("deviceType").is(deviceType);
	} else {
		criteria = Criteria.where("deviceType").ne(null);
	}

	if (StringUtils.isNotBlank(deviceId)) {
		criteria.and("deviceId").is(deviceId);
	}

	if (StringUtils.isNotBlank(modelNo)) {
		criteria.and("modelNo").is(modelNo);
	}

	if (StringUtils.isNotBlank(cityId)) {
		criteria.and("cityId").is(cityId);
	}
	criteria.and("offlineDate").gte(startDate).lt(endDate);
	//

	// 确定分组方式
	String groupBy = null;
	if (deviceOnlineTimeStatisticsParamModel.getGroupType() == 1) {
		groupBy = "deviceType";// deviceType
	} else if (deviceOnlineTimeStatisticsParamModel.getGroupType() == 2) {
		groupBy = "modelNo";// modelNo
	} else if (deviceOnlineTimeStatisticsParamModel.getGroupType() == 3) {
		groupBy = "cityId";// cityId
	} else if (deviceOnlineTimeStatisticsParamModel.getGroupType() == 4) {
		groupBy = "deviceId";// deviceId
	} else {
		groupBy = "deviceType";// deviceType
	}

	// match
	MatchOperation matchOperation = Aggregation.match(criteria);// 条件匹配

	// ProjectionOperation projectionOperationYear = Aggregation
	// .project("deviceType", "offlineDate", "deviceId", "timeLen",
	// "onlineDate", "src", "modelNo")
	// .andExpression("year(offlineDate)").as("year").andExpression("month(offlineDate)").as("month");

	// ProjectionOperation projectionOperationYear = Aggregation
	// .project("deviceType", "offlineDate", "deviceId", "timeLen",
	// "onlineDate", "src", "modelNo")
	// .andExpression("year(offlineDate)").as("year").andExpression("month(offlineDate)").as("month").and(groupBy).as("groupKey");

	//要写成一行，它是以管道的方式进行的，也可以写成多个，但字段是一层层流过去的，你这一层没有，后面的都会没有的
	ProjectionOperation projectionOperationYear = Aggregation
			.project("deviceType", "offlineDate", "deviceId", "timeLen", "onlineDate", "src", "modelNo")
			.andExpression("year(offlineDate)").as("year").andExpression("month(offlineDate)").as("month");

	logger.info(logString + " projectionOperationYear == " + projectionOperationYear.toString());
	// group
	GroupOperation groupOperation = Aggregation.group(groupBy, "year", "month").sum("timeLen").as("timeLen");

	logger.info(logString + " groupOperation == " + groupOperation.toString());

	// project//
	// 结果包含那些字段（num）,挑选所需的字段，用"onlineStatus"显示分组的类型，并且不输出以“_id”分组的结果
	// ProjectionOperation projectionOperation =
	// Aggregation.project("timeLen", "year", "month").and("groupKey")
	// .previousOperation();
	//结果:
	//{
    	//"groupKey":"{ "deviceType" : "0xEF" , "year" : 2016 , "month" : 12}",
    	//"timeLen":70988000
	//}

	ProjectionOperation projectionOperation = Aggregation.project(groupBy, "timeLen", "year", "month").and(groupBy)
			.as("groupKey").andExclude("_id");

	//结果:
	//{
        //    "groupKey":"00000025",
        //    "month":12,
        //    "timeLen":440078000,
        //    "year":2016
        //}

	logger.info(logString + " projectionOperation == " + projectionOperation.toString());
	// 构造聚合函数
	TypedAggregation<DeviceOnlineTimeStatisticsModel> aggregation = Aggregation.newAggregation(
			DeviceOnlineTimeStatisticsModel.class, matchOperation, projectionOperationYear, groupOperation,
			projectionOperation);

	logger.info(logString + " agg == " + aggregation.toString());
	// 执行聚合函数
	AggregationResults<OnlineTime> result = mongoTemplate.aggregate(aggregation, OnlineTime.class);
	// logger.info(logString + " result == " + result.getMappedResults());

	List<OnlineTime> onlineNunList = result.getMappedResults();

	logger.info(logString + " onlineNunList == " + onlineNunList.toString());
	return onlineNunList;
}

（MongoDB的聚合查询（两种方式））： http://www.cnblogs.com/ontheroad_lee/p/3756247.html
（MongoDB 聚合管道（Aggregation Pipeline））： http://www.cnblogs.com/shanyou/p/3494854.html
（MongoDB的聚合查询（两种方式））： http://blog.csdn.net/luckycz/article/details/46924995
（Aggregation Grouping Example）： http://www.mkyong.com/mongodb/spring-data-mongodb-aggregation-grouping-example/
（Spring data mongodb聚合查询）： http://wenku.baidu.com/link?url=fdgkdGYnqsBRQfR6g1y78ZPJ77huzJ9ZOzIZeQU1cGkCZNTblirRZhjE0EEToHQEjTDSPJahgpC10ZHzr4iPFiqyuBT9oNLYLg8PQ4SZeGa
（Spring Data MongoDB，英文）： http://docs.spring.io/spring-data/mongodb/docs/current/reference/html/#mongo.aggregation
（Spring Data MongoDB(Query and Projection Operators)，英文）： https://docs.mongodb.com/v3.2/reference/operator/query/
（Aggregation Pipeline基础篇上）： http://blog.csdn.net/congcong68/article/details/51619882
（MongoDB分组汇总操作）： http://www.cnblogs.com/zhuxiaojie/p/6007267.html
（MongoDB按时间分组）： http://stackoverflow.com/questions/26770324/how-to-build-combined-id-property-of-the-group-in-mongo-aggregation-using-spri
（MongoDB按页查询）： http://blog.csdn.net/itmyhome1990/article/details/52240900