我有一个大而复杂的集合，如下所示：
{
"_id" : ObjectId("574c55312368e5aa90bbf27b"),
"id" : NumberInt(10000),
"BookieId" : NumberInt(1),
"EventBookieId" : null,
"LeagueId" : NumberInt(214),
"LeagueNameId" : NumberInt(4571),
"Team1Id" : NumberInt(435),
"Team1NameId" : null,
"Team2Id" : NumberInt(430),
"Team2NameId" : null,
"EventDateTime" : ISODate("2013-09-14T13:00:00.000+0000"),
"isNew" : true,
"CountryId" : NumberInt(36),
"isCountry" : true,
"isLeague" : true,
"Gameid" : null,
"Reversed" : false,
"eventId" : NumberInt(10000),
"bets" : [
{
"id" : NumberInt(1),
"EventConnectionId" : NumberInt(10000),
"isCorners" : false,
"DateTime" : ISODate("2013-09-10T08:06:43.333+0000"),
"IsLive" : false,
"Team1Score" : null,
"Team2Score" : null,
"Team1RedCards" : null,
"Team2RedCards" : null,
"odds" : [
]
},
{
"id" : NumberInt(2),
"EventConnectionId" : NumberInt(10000),
"isCorners" : false,
"DateTime" : ISODate("2013-09-10T18:50:26.840+0000"),
"IsLive" : false,
"Team1Score" : NumberInt(0),
"Team2Score" : NumberInt(0),
"Team1RedCards" : null,
"Team2RedCards" : null,
"odds" : [
{
"id" : NumberInt(62282718),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968173",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 1.81,
"Odds2" : 2.1236,
"Odds3" : null,
"MaxBet" : NumberInt(2000),
"Bet" : "Hcap",
"BetGamePart" : NumberInt(0),
"Line" : -0.25,
"ID_IDENTITY" : NumberInt(1)
},
{
"id" : NumberInt(62282719),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968175",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.04167,
"Odds2" : 1.86,
"Odds3" : null,
"MaxBet" : NumberInt(2000),
"Bet" : "Total",
"BetGamePart" : NumberInt(0),
"Line" : 2.0,
"ID_IDENTITY" : NumberInt(2)
},
{
"id" : NumberInt(62282720),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968177",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.16,
"Odds2" : 3.45,
"Odds3" : 3.05,
"MaxBet" : NumberInt(1000),
"Bet" : "X12",
"BetGamePart" : NumberInt(0),
"Line" : null,
"ID_IDENTITY" : NumberInt(3)
},
{
"id" : NumberInt(62282721),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968179",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.21951,
"Odds2" : 1.7,
"Odds3" : null,
"MaxBet" : NumberInt(1000),
"Bet" : "Hcap",
"BetGamePart" : NumberInt(1),
"Line" : -0.25,
"ID_IDENTITY" : NumberInt(4)
},
{
"id" : NumberInt(62282722),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968180",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.78,
"Odds2" : 3.9,
"Odds3" : 1.99,
"MaxBet" : NumberInt(500),
"Bet" : "X12",
"BetGamePart" : NumberInt(1),
"Line" : null,
"ID_IDENTITY" : NumberInt(5)
},
{
"id" : NumberInt(62282723),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "21968181",
"ScrapingDateTime" : ISODate("2013-09-13T07:39:15.810+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 1.93,
"Odds2" : 1.95,
"Odds3" : null,
"MaxBet" : NumberInt(1000),
"Bet" : "Total",
"BetGamePart" : NumberInt(1),
"Line" : 0.75,
"ID_IDENTITY" : NumberInt(6)
},
{
"id" : NumberInt(62290838),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382209",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 1.81,
"Odds2" : 2.1236,
"Odds3" : null,
"MaxBet" : NumberInt(2000),
"Bet" : "Hcap",
"BetGamePart" : NumberInt(0),
"Line" : -0.25,
"ID_IDENTITY" : NumberInt(7)
},
{
"id" : NumberInt(62290839),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382211",
"ScrapingDateTime" : ISODate("2013-09-13T08:27:39.600+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.05263,
"Odds2" : 1.85,
"Odds3" : null,
"MaxBet" : NumberInt(2000),
"Bet" : "Total",
"BetGamePart" : NumberInt(0),
"Line" : 2.0,
"ID_IDENTITY" : NumberInt(8)
},
{
"id" : NumberInt(62290840),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382213",
"ScrapingDateTime" : ISODate("2013-09-13T09:29:22.863+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.15,
"Odds2" : 3.45,
"Odds3" : 3.1,
"MaxBet" : NumberInt(1000),
"Bet" : "X12",
"BetGamePart" : NumberInt(0),
"Line" : null,
"ID_IDENTITY" : NumberInt(9)
},
{
"id" : NumberInt(62290841),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382215",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.21951,
"Odds2" : 1.7,
"Odds3" : null,
"MaxBet" : NumberInt(1000),
"Bet" : "Hcap",
"BetGamePart" : NumberInt(1),
"Line" : -0.25,
"ID_IDENTITY" : NumberInt(10)
},
{
"id" : NumberInt(62290842),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382216",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.78,
"Odds2" : 3.9,
"Odds3" : 1.99,
"MaxBet" : NumberInt(500),
"Bet" : "X12",
"BetGamePart" : NumberInt(1),
"Line" : null,
"ID_IDENTITY" : NumberInt(11)
},
{
"id" : NumberInt(62290843),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "14382217",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 1.93,
"Odds2" : 1.95,
"Odds3" : null,
"MaxBet" : NumberInt(1000),
"Bet" : "Total",
"BetGamePart" : NumberInt(1),
"Line" : 0.75,
"ID_IDENTITY" : NumberInt(12)
},
{
"id" : NumberInt(62381139),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "20864356",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.05263,
"Odds2" : 1.85,
"Odds3" : null,
"MaxBet" : NumberInt(2000),
"Bet" : "Total",
"BetGamePart" : NumberInt(0),
"Line" : 2.0,
"ID_IDENTITY" : NumberInt(13)
},
{
"id" : NumberInt(62381140),
"BetId" : NumberInt(2),
"BookieId" : NumberInt(1),
"BookieBetId" : "20864358",
"ScrapingDateTime" : ISODate("2013-09-13T14:38:11.303+0000"),
"MinuteInGame" : null,
"GamePart" : null,
"Odds1" : 2.15,
"Odds2" : 3.45,
"Odds3" : 3.1,
"MaxBet" : NumberInt(1000),
"Bet" : "X12",
"BetGamePart" : NumberInt(0),
"Line" : null,
"ID_IDENTITY" : NumberInt(14)
}
]
}
]
}
我在赔率数组中创建了一个 ScrapingDateTime 的索引，该数组又位于 bets 数组中。 这是索引：
{"bets.0.odds.0.ScrapingDateTime" : 1}
当我运行此查询时，它不使用索引并执行集合扫描，任何人都可以解释方式，或者我应该使用此索引做什么？
db.EventsBetsOdds.find({'bets.odds.ScrapingDateTime':{'$gte':ISODate("2014-08-13T14:38:11.303Z"),
'$lt':ISODate("2014-09-14T14:38:11.303Z")}},
{"bets.odds.ScrapingDateTime":1,"bets.odds.Line":1,"bets.IsLive":1,_id:0}).explain()
答案 0 :(得分：1)
索引{＆＃34; bets.0.odds.0.ScrapingDateTime＆＃34; ：1}指的是名为＆＃34; 0＆＃34;的子文档，而不是位置零的数组元素。例如：
{
"bets" : {
"0" : {
"odds" : {
"0" : {
"ScrapingDateTime" : ....
}
}
}
}
}
所需的索引将是：
db.EventsBetsOdds.ensureIndex({ "bets.odds.ScrapingDateTime" : 1 })
如果您希望查询的索引为cover，则索引为：
db.EventsBetsOdds.createIndex({
"bets.odds.ScrapingDateTime" : 1,
"bets.odds.Line" : 1,
"bets.IsLive" : 1
})