为什么MongoDB没有正确使用索引？

时间：2017-05-24 10:10:36

标签： mongodb

我有一个集合，我有一个多语言形式的数据，如下所示：

> db.names.findOne();
{
  "_id" : ObjectId("591dbcd877d4ede22d765247"),
  "name" : [
    {
      "locale" : "de",
      "text" : "Brunhilde"
    },
    {
      "locale" : "sk",
      "text" : "Šimon"
    }
  ]
}

我已为每种语言定义了索引：

db.names.createIndex({ 'name.locale': 1, 'name.text': 1 }, { name: 'name_de', partialFilterExpression: { 'name.locale': 'de' }, collation: { locale: 'de' } });
db.names.createIndex({ 'name.locale': 1, 'name.text': 1 }, { name: 'name_sk', partialFilterExpression: { 'name.locale': 'sk' }, collation: { locale: 'sk' } });

当我将该集合查询为：

> db.names.find({ 'name.locale': 'de', 'name.text': 'Rüdi' }).collation({ locale: 'de' });

查询使用索引，但解释计划看起来有点奇怪：

...
"executionStages" : {
  "stage" : "FETCH",
  "filter" : {
    "name.text" : {
      "$eq" : "Rüdi"
    }
  },
  "nReturned" : 1,
  "executionTimeMillisEstimate" : 0,
  "works" : 10,
  "advanced" : 1,
  "needTime" : 8,
  "needYield" : 0,
  "saveState" : 0,
  "restoreState" : 0,
  "isEOF" : 1,
  "invalidates" : 0,
  "docsExamined" : 9,
  "alreadyHasObj" : 0,
  "inputStage" : {
    "stage" : "IXSCAN",
    "nReturned" : 9,
    "executionTimeMillisEstimate" : 0,
    "works" : 10,
    "advanced" : 9,
    "needTime" : 0,
    "needYield" : 0,
    "saveState" : 0,
    "restoreState" : 0,
    "isEOF" : 1,
    "invalidates" : 0,
    "keyPattern" : {
      "name.locale" : 1,
      "name.text" : 1
    },
    "indexName" : "name_de",
    "collation" : {
      "locale" : "de",
      "caseLevel" : false,
      "caseFirst" : "off",
      "strength" : 3,
      "numericOrdering" : false,
      "alternate" : "non-ignorable",
      "maxVariable" : "punct",
      "normalization" : false,
      "backwards" : false,
      "version" : "57.1"
    },
    "isMultiKey" : true,
    "multiKeyPaths" : {
      "name.locale" : [
        "name"
      ],
      "name.text" : [
        "name"
      ]
    },
    "isUnique" : false,
    "isSparse" : false,
    "isPartial" : true,
    "indexVersion" : 2,
    "direction" : "forward",
    "indexBounds" : {
      "name.locale" : [
        "[\"/1\u0001\u0006\u0001\u0006\", \"/1\u0001\u0006\u0001\u0006\"]"
      ],
      "name.text" : [
        "[MinKey, MaxKey]"
      ]
    },
    "keysExamined" : 9,
    "seeks" : 1,
    "dupsTested" : 9,
    "dupsDropped" : 0,
    "seenInvalidated" : 0
  }
}

它创建了一个IXSCAN，但是在FETCH阶段，MongoDB通过name.text进行过滤。

另一方面，当我进行查询时，name.text用于将结果排序为：

> db.names.find({ 'name.locale': 'de' }).sort({ 'name.text': 1 }).collation({ locale: "de" });

解释计划如下：

...
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 9,
"executionTimeMillis" : 1,
"totalKeysExamined" : 9,
"totalDocsExamined" : 9,
"executionStages" : {
  "stage" : "FETCH",
  "nReturned" : 9,
  "executionTimeMillisEstimate" : 0,
  "works" : 10,
  "advanced" : 9,
  "needTime" : 0,
  "needYield" : 0,
  "saveState" : 0,
  "restoreState" : 0,
  "isEOF" : 1,
  "invalidates" : 0,
  "docsExamined" : 9,
  "alreadyHasObj" : 0,
  "inputStage" : {
    "stage" : "IXSCAN",
    "nReturned" : 9,
    "executionTimeMillisEstimate" : 0,
    "works" : 10,
    "advanced" : 9,
    "needTime" : 0,
    "needYield" : 0,
    "saveState" : 0,
    "restoreState" : 0,
    "isEOF" : 1,
    "invalidates" : 0,
    "keyPattern" : {
      "name.locale" : 1,
      "name.text" : 1
    },
    "indexName" : "name_de",
    "collation" : {
      "locale" : "de",
      "caseLevel" : false,
      "caseFirst" : "off",
      "strength" : 3,
      "numericOrdering" : false,
      "alternate" : "non-ignorable",
      "maxVariable" : "punct",
      "normalization" : false,
      "backwards" : false,
      "version" : "57.1"
    },
    "isMultiKey" : true,
    "multiKeyPaths" : {
      "name.locale" : [
        "name"
      ],
      "name.text" : [
        "name"
      ]
    },
    "isUnique" : false,
    "isSparse" : false,
    "isPartial" : true,
    "indexVersion" : 2,
    "direction" : "forward",
    "indexBounds" : {
      "name.locale" : [
        "[\"/1\u0001\u0006\u0001\u0006\", \"/1\u0001\u0006\u0001\u0006\"]"
      ],
      "name.text" : [
        "[MinKey, MaxKey]"
      ]
    },
    "keysExamined" : 9,
    "seeks" : 1,
    "dupsTested" : 9,
    "dupsDropped" : 0,
    "seenInvalidated" : 0
  }
}

现在，IXSCAN之后是没有过滤器的FETCH。

问题是：为什么在第一种情况下使用FETCH中的过滤器并且仅仅使用索引是不够的？

在这两种情况下，解释计划中的indexBounds都是相同的，这可以解释为什么在第二个查询中不需要过滤器。我没有在MongoDB文档中找到任何可以解释这种行为的约束。

其他信息 当我尝试使用我的索引的替换时：

> db.names.createIndex({ 'name.text': 1 }, { name: 'name_de', partialFilterExpression: { 'name.locale': 'de' }, collation: { locale: 'de' } });

即。从索引中省略字段name.locale。它给出了有趣的结果，令人遗憾的是仍然是错误的。第一个查询解释计划是：

...
"executionStats" : {
  "executionSuccess" : true,
  "nReturned" : 1,
  "executionTimeMillis" : 0,
  "totalKeysExamined" : 1,
  "totalDocsExamined" : 1,
  "executionStages" : {
    "stage" : "FETCH",
    "filter" : {
      "name.locale" : {
        "$eq" : "de"
      }
    },
    "nReturned" : 1,
    "executionTimeMillisEstimate" : 0,
    "works" : 2,
    "advanced" : 1,
    "needTime" : 0,
    "needYield" : 0,
    "saveState" : 0,
    "restoreState" : 0,
    "isEOF" : 1,
    "invalidates" : 0,
    "docsExamined" : 1,
    "alreadyHasObj" : 0,
    "inputStage" : {
      "stage" : "IXSCAN",
      "nReturned" : 1,
      "executionTimeMillisEstimate" : 0,
      "works" : 2,
      "advanced" : 1,
      "needTime" : 0,
      "needYield" : 0,
      "saveState" : 0,
      "restoreState" : 0,
      "isEOF" : 1,
      "invalidates" : 0,
      "keyPattern" : {
        "name.text" : 1
      },
      "indexName" : "name_de",
      "collation" : {
        "locale" : "de",
        "caseLevel" : false,
        "caseFirst" : "off",
        "strength" : 3,
        "numericOrdering" : false,
        "alternate" : "non-ignorable",
        "maxVariable" : "punct",
        "normalization" : false,
        "backwards" : false,
        "version" : "57.1"
      },
      "isMultiKey" : true,
      "multiKeyPaths" : {
        "name.text" : [
          "name"
        ]
      },
      "isUnique" : false,
      "isSparse" : false,
      "isPartial" : true,
      "indexVersion" : 2,
      "direction" : "forward",
      "indexBounds" : {
        "name.text" : [
          "[\"KQ/9\u0001D�\u0006\u0001�\b\", \"KQ/9\u0001D�\u0006\u0001�\b\"]"
        ]
      },
      "keysExamined" : 1,
      "seeks" : 1,
      "dupsTested" : 1,
      "dupsDropped" : 0,
      "seenInvalidated" : 0
    }
  }
}
...

它仍在FETCH中进行过滤，但是通过name.locale进行过滤，而不是通过name.text进行过滤。 indexBounds也发生了变化，并包含name.text模式。 第二个查询解释计划是：

...
"executionStats" : {
  "executionSuccess" : true,
  "nReturned" : 9,
  "executionTimeMillis" : 0,
  "totalKeysExamined" : 18,
  "totalDocsExamined" : 9,
  "executionStages" : {
    "stage" : "FETCH",
    "filter" : {
      "name.locale" : {
        "$eq" : "de"
      }
    },
    "nReturned" : 9,
    "executionTimeMillisEstimate" : 0,
    "works" : 19,
    "advanced" : 9,
    "needTime" : 9,
    "needYield" : 0,
    "saveState" : 0,
    "restoreState" : 0,
    "isEOF" : 1,
    "invalidates" : 0,
    "docsExamined" : 9,
    "alreadyHasObj" : 0,
    "inputStage" : {
      "stage" : "IXSCAN",
      "nReturned" : 9,
      "executionTimeMillisEstimate" : 0,
      "works" : 19,
      "advanced" : 9,
      "needTime" : 9,
      "needYield" : 0,
      "saveState" : 0,
      "restoreState" : 0,
      "isEOF" : 1,
      "invalidates" : 0,
      "keyPattern" : {
        "name.text" : 1
      },
      "indexName" : "name_de",
      "collation" : {
        "locale" : "de",
        "caseLevel" : false,
        "caseFirst" : "off",
        "strength" : 3,
        "numericOrdering" : false,
        "alternate" : "non-ignorable",
        "maxVariable" : "punct",
        "normalization" : false,
        "backwards" : false,
        "version" : "57.1"
      },
      "isMultiKey" : true,
      "multiKeyPaths" : {
        "name.text" : [
          "name"
        ]
      },
      "isUnique" : false,
      "isSparse" : false,
      "isPartial" : true,
      "indexVersion" : 2,
      "direction" : "forward",
      "indexBounds" : {
        "name.text" : [
          "[MinKey, MaxKey]"
        ]
      },
      "keysExamined" : 18,
      "seeks" : 1,
      "dupsTested" : 18,
      "dupsDropped" : 9,
      "seenInvalidated" : 0
    }
  }
}
...

indexBounds模式包含name.text的最小/最大范围（在排序中使用时很清楚），并且FETCH包含过滤器。但是......结果是错误的，文档不再像以前那样按德语翻译排序：

...
{ "_id" : ObjectId("591dbcd877d4ede22d76524f"), "name" : [ { "locale" : "de", "text" : "Mathias" }, { "locale" : "sk", "text" : "Abel" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d76524e"), "name" : [ { "locale" : "de", "text" : "Rudi" }, { "locale" : "sk", "text" : "Ábel" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d765248"), "name" : [ { "locale" : "de", "text" : "Brünhild" }, { "locale" : "sk", "text" : "Žofia" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d765247"), "name" : [ { "locale" : "de", "text" : "Brunhilde" }, { "locale" : "sk", "text" : "Šimon" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d765249"), "name" : [ { "locale" : "de", "text" : "Cäcilia" }, { "locale" : "sk", "text" : "Chruňo" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d76524a"), "name" : [ { "locale" : "de", "text" : "Caecilia" }, { "locale" : "sk", "text" : "Hana" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d76524b"), "name" : [ { "locale" : "de", "text" : "Günther" }, { "locale" : "sk", "text" : "Cecília" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d76524c"), "name" : [ { "locale" : "de", "text" : "Gunther" }, { "locale" : "sk", "text" : "Zina" } ] }
{ "_id" : ObjectId("591dbcd877d4ede22d76524d"), "name" : [ { "locale" : "de", "text" : "Rüdi" }, { "locale" : "sk", "text" : "Stano" } ] }
...

恕我直言，在MongoDB中使用这个索引确实有些奇怪。

0 个答案:

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