mongodb 对内嵌文档(数组) group分页查询,并设置查询条件

时间:2023-03-09 07:05:26
mongodb 对内嵌文档(数组) group分页查询,并设置查询条件

  

文档示例Account的其中一条记录:

// collection: Account
{
"_id" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a"),
"accountType" : "MEMBER",
"money" : NumberLong("10355"),
"lockMoney" : NumberLong("0"),
"periodMoney" : NumberLong("255"),
"payableMoney" : NumberLong("0"),
"incomeMoney" : NumberLong("10355"),
"cost" : NumberLong("1500"),
"costForMonth" : NumberLong("1500"),
"version" : NumberLong("31"),
"periodStartTime" : NumberLong("1480867200000"),
"periodEndTime" : NumberLong("1480953599000"),
"accountRecords" : [
{
"ID" : ObjectId("5843e3e4535f3709061c2141"),
"serial" : ObjectId("5843e3d1535f370902e8dc99"),
"title" : "测试:年跹858啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "PAIDITEMBYNETBANK",
"statementsMessageId" : ObjectId("5843e3e4535f3709061c213f"),
"orderTime" : NumberLong("1480844241849"),
"Money" : NumberLong("800"),
"beforeMoney" : NumberLong("1825"),
"afterMoney" : NumberLong("1825"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843e736535f37092a236725"),
"serial" : ObjectId("5843e6a9535f370927198973"),
"title" : "测试:阳颞愆221啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "PAIDITEMBYNETBANK",
"statementsMessageId" : ObjectId("5843e736535f37092a236723"),
"orderTime" : NumberLong("1480844969902"),
"Money" : NumberLong("300"),
"beforeMoney" : NumberLong("4480"),
"afterMoney" : NumberLong("4480"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843e952535f3709393318c3"),
"serial" : ObjectId("5843e78a535f3709321bce9d"),
"title" : "测试:申铑乔888啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "PAIDITEMBYNETBANK",
"statementsMessageId" : ObjectId("5843e952535f3709393318c1"),
"orderTime" : NumberLong("1480845194664"),
"Money" : NumberLong("400"),
"beforeMoney" : NumberLong("7565"),
"afterMoney" : NumberLong("7565"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843ee2a535f370a49c827d2"),
"serial" : ObjectId("5843ee0d535f370a469c2dde"),
"title" : "测试:燕抒奎85啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("5843ee2a535f370a49c827cd"),
"orderTime" : NumberLong("1480846861000"),
"Money" : NumberLong("255"),
"beforeMoney" : NumberLong("8040"),
"afterMoney" : NumberLong("8295"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843ee2c535f370a49c82880"),
"serial" : ObjectId("5843ee0c535f370a469c2d66"),
"title" : "测试:简鼓禚127啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("5843ee2c535f370a49c8287b"),
"orderTime" : NumberLong("1480846860000"),
"Money" : NumberLong("475"),
"beforeMoney" : NumberLong("8295"),
"afterMoney" : NumberLong("8770"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843ee2c535f370a49c828b2"),
"serial" : ObjectId("5843ee0c535f370a469c2d48"),
"title" : "测试:厍假913啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("5843ee2c535f370a49c828ad"),
"orderTime" : NumberLong("1480846860000"),
"Money" : NumberLong("570"),
"beforeMoney" : NumberLong("8770"),
"afterMoney" : NumberLong("9340"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843ee2d535f370a49c82934"),
"serial" : ObjectId("5843ee0b535f370a469c2ce8"),
"title" : "测试:赖象645啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("5843ee2d535f370a49c8292f"),
"orderTime" : NumberLong("1480846859000"),
"Money" : NumberLong("475"),
"beforeMoney" : NumberLong("9340"),
"afterMoney" : NumberLong("9815"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("5843ee2e535f370a49c82952"),
"serial" : ObjectId("5843ee0b535f370a469c2cd6"),
"title" : "测试:胡滴贻967啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("5843ee2e535f370a49c8294d"),
"orderTime" : NumberLong("1480846859000"),
"Money" : NumberLong("285"),
"beforeMoney" : NumberLong("9815"),
"afterMoney" : NumberLong("10100"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
},
{
"ID" : ObjectId("584542a23da1270a62424b8c"),
"serial" : ObjectId("584542293da1270a5b4a5640"),
"title" : "测试:燕抒奎85啥地方记录卡时间是东风科技为额外认为二位水电费是打发是否是的发生大发上课IE2",
"opertionType" : "SELL",
"statementsMessageId" : ObjectId("584542a23da1270a62424b87"),
"orderTime" : NumberLong("1480933929000"),
"Money" : NumberLong("255"),
"beforeMoney" : NumberLong("10100"),
"afterMoney" : NumberLong("10355"),
"accountId" : ObjectId("5843e38e535f3708f759b25b"),
"memberId" : ObjectId("5843e38e535f3708f759b25a")
}
],
"costMonthFistTimel" : NumberLong("1480521600000")
}

  要查询指定Account账号,并且accountRecords.opertionType="SELL",并且需要按id倒叙,需要分页

mongodb查询语句

db.getCollection("f.publicAccount").aggregate({"$match" : { "memberId" :ObjectId("5843e38e535f3708f759b25a")}})
//.project("gender _id")
.unwind("$accountRecords")
.match({"accountRecords.opertionType" : "SELL"})
.sort({"accountRecords.ID":-1}) .skip(0).limit(3)
.group({ _id:"$_id","accountRecords" : { "$push" : "$accountRecords"}})
;

java morphia代码:

        //指定会员
Query<Accounts> queryMember = this.createQuery().field("memberId").equal(memberId);
Query<Accounts> queryOpertion=queryOpertion =this.createQuery().field("accountRecords.opertionType").in(getIncomeType()); AggregationPipeline pipeline =this.getDs().createAggregation(Accounts.class);
pipeline.match(queryMember);
pipeline.unwind("accountRecords");
//按照入账记录Id排序
pipeline.match(queryOpertion).sort(Sort.descending("accountRecords.ID")).limit(pager.getPageSize()).skip(pager.getSkip());
Accumulator pushFied = Group.push("accountRecords");
pipeline.group("_id",Group.grouping("accountRecords",pushFied));
Iterator<Accounts> iterator = pipeline.aggregate(Accounts.class); if (iterator.hasNext()) {
Accounts account = iterator.next();