mongodb分组聚合Aggregate

mongoDb数据库操作

数据库命rawdata

时间按天分组使用$dateToString 用法见https://blog.csdn.net/u013066244/article/details/53842355

db.rawdata.aggregate([{$match:{analyze_time: {'$gte': new Date('2018-09-01'), '$lt': new Date('2018-09-30')},"crawler.country_id":{'$in':['4028c7d5-64eec376-0164-eeff256b-0030']}}}, {$group:{_id:{date:{$dateToString: {format: "%Y-%m-%d", date: "$analyze_time"}},countryId:"$crawler.country_id"},count:{$sum:1}}},{$sort:{"_id":1}}]);

java代码（springboot下jpa操作数据库）

//$match Document documentMatch= new Document();

documentMatch.put("analyze_time",new Document("$gt", sdf.parse(startDate)).append("$lte", sdf.parse(endDate)));

//$group SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm");

Map map=new HashMap();

map.put("format","%Y-%m-%d");

map.put("date","$analyze_time");

Document groupFiles=new Document();

groupFiles.put("date",new Document("$dateToString", map));

Document documentGroup= new Document();

documentGroup.put("_id",groupFiles);

documentGroup.put("count", new Document("$sum", 1));

//$sort

Document documentSort= new Document();

documentSort.put("_id",1);

Document match = new Document("$match", documentMatch);

Document group = new Document("$group", documentGroup);

Document sort = new Document("$sort", documentSort);

List aggregateList = new ArrayList();

aggregateList.add(match);

aggregateList.add(group);

aggregateList.add(sort);

AggregateIterable resultset = mongoTemplate.getCollection("rawdata").aggregate(aggregateList);

MongoCursor cursor = resultset.iterator();

List listDate =new ArrayList();

List listCount =new ArrayList();

while(cursor.hasNext()) {

Document item_doc = cursor.next();

Document document = (Document) item_doc.get("_id");

int count = item_doc.getInteger("count", 0);

}