10

我正在尝试重现索引交叉指令的第一个示例（http://docs.mongodb.org/manual/core/index-intersection/）但面临一个问题：mongo 不使用两个索引

我的步骤：

  1. 下载 mongo (3.0.3) 并安装
  2. 运行 mongod：mongod.exe --dbpath d:\data（文件夹为空）
  3. 运行mongo：mongo.exe

  4. 添加索引：

    db.orders.ensureIndex({ qty: 1 })
db.orders.ensureIndex({ item: 1 })
db.orders.getIndexes()
[{
        "v" : 1,
        "key" : {
                "_id" : 1
        },
        "name" : "_id_",
        "ns" : "test.orders"
},
{
        "v" : 1,
        "key" : {
                "qty" : 1
        },
        "name" : "qty_1",
        "ns" : "test.orders"
},
{
        "v" : 1,
        "key" : {
                "item" : 1
        },
        "name" : "item_1",
        "ns" : "test.orders"
}]

  5. 检查查询说明：

    db.orders.find( { item: "abc123", qty: { $gt: 15 } } ).explain()
{
    "queryPlanner" : {
            "plannerVersion" : 1,
            "namespace" : "test.orders",
            "indexFilterSet" : false,
            "parsedQuery" : {
                    "$and" : [
                            {
                                    "item" : {
                                            "$eq" : "abc123"
                                    }
                            },
                            {
                                    "qty" : {
                                            "$gt" : 15
                                    }
                            }
                    ]
            },
            "winningPlan" : {
                    "stage" : "KEEP_MUTATIONS",
                    "inputStage" : {
                            "stage" : "FETCH",
                            "filter" : {
                                    "qty" : {
                                            "$gt" : 15
                                    }
                            },
                            "inputStage" : {
                                    "stage" : "IXSCAN",
                                    "keyPattern" : {
                                            "item" : 1
                                    },
                                    "indexName" : "item_1",
                                    "isMultiKey" : false,
                                    "direction" : "forward",
                                    "indexBounds" : {
                                            "item" : [
                                                    "[\"abc123\", \"abc123\"]"
                                            ]
                                    }
                            }
                    }
            },
            "rejectedPlans" : [
                    {
                            "stage" : "KEEP_MUTATIONS",
                            "inputStage" : {
                                    "stage" : "FETCH",
                                    "filter" : {
                                            "item" : {
                                                    "$eq" : "abc123"
                                            }
                                    },
                                    "inputStage" : {
                                            "stage" : "IXSCAN",
                                            "keyPattern" : {
                                                    "qty" : 1
                                            },
                                            "indexName" : "qty_1",
                                            "isMultiKey" : false,
                                            "direction" : "forward",
                                            "indexBounds" : {
                                                    "qty" : [
                                                            "(15.0, 1.#INF]"
                                                    ]
                                            }
                                    }
                            }
                    }
            ]
    },
    "serverInfo" : {
            "host" : "localhost",
            "port" : 27017,
            "version" : "3.0.3",
            "gitVersion" : "b40106b36eecd1b4407eb1ad1af6bc60593c6105"
    },
    "ok" : 1
}

如您所见，winingPlan 仅包含 item_1 索引。有包含 qty_1 索引的拒绝计划。但是没有包含索引交集的计划。我知道选择特定索引有很多条件。但在我的情况下，mongo 甚至没有计划它！

有人可以帮助我吗？

4

2 回答 2

4

在SERVER-3071 JIRA 问题中有一些关于索引选择的详细信息，但我不能说所有这些是否仍然与 3.0 相关。反正：

MongoDB 3.0.2 似乎没有考虑范围查询的索引交互。但它将用于点间隔：

> db.orders.find( { item: {$eq : "abc123"}, qty: { $eq: 15 } } ).explain()
...

        {
            "stage" : "FETCH",
            "inputStage" : {
                "stage" : "KEEP_MUTATIONS",
                "inputStage" : {
                    "stage" : "AND_SORTED",
                    "inputStages" : [
                        {
                            "stage" : "IXSCAN",
                            "keyPattern" : {
                                "qty" : 1
                            },
                            "indexName" : "qty_1",
                            "isMultiKey" : false,
                            "direction" : "forward",
                            "indexBounds" : {
                                "qty" : [
                                    "[15.0, 15.0]"
                                ]
                            }
                        },
                        {
                            "stage" : "IXSCAN",
                            "keyPattern" : {
                                "item" : 1
                            },
                            "indexName" : "item_1",
                            "isMultiKey" : false,
                            "direction" : "forward",
                            "indexBounds" : {
                                "item" : [
                                    "[\"abc123\", \"abc123\"]"
                                ]
                            }
                        }
                    ]
                }
于 2015-06-03T18:56:03.893 回答
1

我们正在托管一个多租户站点。所以有一个 mongo 集合，其中包含有关所有客户的一些信息，例如，

{customerId: 22, category: "category", region: "region", balance: 23434... }

了解了Index Intersection之后，我们尝试创建多个单字段索引，以支持不同查询条件和可变字段的查询，例如

{ customerId: 22, category: "1" }
{ customerId: 22, region: "somewhere" }
{ customerId: 22, balance: {$gt:0} }
{ customerId: 22, region: {$in: ["R1", "R2"]},balance: {$gt:0} }
....

但事实证明，从“db.collection.explain”中学习并没有发生交集。由于字段有限，我们最终找到了一个解决方案来构建一个包含所有字段的复合索引。

{customerId: 1, category: 1, region: 1, balance:1...}

然后事实证明，就查询中的“customerId”而言，所有查询都使用“大”复合索引。

{ customerId: 22, category: "1" }
{ customerId: 22, region: "somewhere" }
{ customerId: 22, balance: {$gt:0} }
{ customerId: 22, region: {$in: ["R1", "R2"]},balance: {$gt:0} }
....
于 2017-06-30T08:31:13.540 回答