Mongodb索引如何运作? [英] how does Mongodb index works?
问题描述
I have a collection such as:
{u'_id': ObjectId('5094cc44e3f0f827b3618918'),
u'xxx': 0},
{u'_id': ObjectId('5094cc44e3f0f827b3618919'),
u'xxx': 1},
{u'_id': ObjectId('5094cc44e3f0f827b361891a'),
u'xxx': 2},
{u'_id': ObjectId('5094cc44e3f0f827b361891b'),
u'xxx': 3},
{u'_id': ObjectId('5094cc44e3f0f827b361891c'),
u'xxx': 4}
...
我创建索引,如:
db.test.ensure_index([("_id",-1),("xxx",1)])
db.test.ensure_index([("xxx",1)])
然后,我使用解释如下:
then,I use the explain such as:
db.test.find({"xxx":1}).sort("_id",-1).skip(5).limit(5).explain()
result is:
{u'allPlans': [{u'cursor': u'BtreeCursor _id_ reverse',
u'indexBounds': {u'_id': [[{u'$maxElement': 1},
{u'$minElement': 1}]]},
u'n': 9,
u'nscanned': 34,
u'nscannedObjects': 34},
{u'cursor': u'BtreeCursor xxx_1',
u'indexBounds': {u'xxx': [[1, 1]]},
u'n': 34,
u'nscanned': 34,
u'nscannedObjects': 34},
{u'cursor': u'BtreeCursor _id_-1_xxx_1',
u'indexBounds': {u'_id': [[{u'$maxElement': 1},
{u'$minElement': 1}]],
u'xxx': [[1, 1]]},
u'n': 10,
u'nscanned': 38,
u'nscannedObjects': 10},
{u'cursor': u'BasicCursor',
u'indexBounds': {},
u'n': 16,
u'nscanned': 34,
u'nscannedObjects': 34}],
u'cursor': u'BtreeCursor xxx_1',
u'indexBounds': {u'xxx': [[1, 1]]},
u'indexOnly': False,
u'isMultiKey': False,
u'millis': 1,
u'n': 5,
u'nChunkSkips': 0,
u'nYields': 0,
u'nscanned': 34,
u'nscannedAllPlans': 140,
u'nscannedObjects': 34,
u'nscannedObjectsAllPlans': 112,
u'scanAndOrder': True,
u'server': u'ubuntu:27017'}
来自n,nscanned和nscnnedObjects的num,我认为它应该使用u'BtreeCursor id -1_xxx_1'作为光标,但为什么它使用u'cursor':u'BtreeCursor xxx_1',?
任何人都可以给我一些建议吗?我对索引优化有一点了解。
from n,nscanned and nscnnedObjects 's num,I think It should use u'BtreeCursor id-1_xxx_1' as cursor,but Why It use u'cursor': u'BtreeCursor xxx_1',? Can anyone give me some suggestion ?I have a little knowledge about the index optimize.
推荐答案
字段的顺序在索引事项;查找和排序示例的最佳复合索引实际上是:
The order of fields in the index matters; the best compound index for your find and sort example would actually be:
db.test.ensure_index([("xxx",1),("_id",-1)])
由于您的搜索条件位于字段' xxx',将此字段放在索引中将比通过 _id
搜索更多结果,然后过滤到与 xxx $ c $匹配的文档c>条件。
Since your search criteria is on field 'xxx', putting this field first in the index will find more results than searching by _id
and then filtering to documents matching your xxx
criteria.
如果查看查询优化器在<$中考虑的每个计划的 n
数字c $ c> allPlans , BtreeCursor xxx_1
索引实际上返回的结果最多(34)。其他索引返回9,10和16个结果..因此对于给定的搜索条件效率会降低。
If you look at the n
number for each plan considered by the query optimizer in allPlans
, the BtreeCursor xxx_1
index actually returns the most results (34). The other indexes return 9, 10, and 16 results .. so would be less efficient for the given search criteria.
有关索引优化的更多信息,本文非常帮助:优化MongoDB复合索引。
For more information on index optimization, this article is very helpful: Optimizing MongoDB Compound Indexes.
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