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发现regex也会走索引的小实验。
> db.namestest.insertMany([{"name":"abc jin"},{"name":"jinabc111"},{"name":"dbcabcll"},{"name":"abc jji"},{"name":"jinjinabc abc"},{"name":"abc ciuab"},{"name":"abciu \n aaa"},{"name":"abcabcabc ciuciu"},{"name":"ciujcb ABC"},{"name":"ABCABC"}]); { "acknowledged" : true, "insertedIds" : [ ObjectId("6235e9e4d44bf71ca2a42706"), ObjectId("6235e9e4d44bf71ca2a42707"), ObjectId("6235e9e4d44bf71ca2a42708"), ObjectId("6235e9e4d44bf71ca2a42709"), ObjectId("6235e9e4d44bf71ca2a4270a"), ObjectId("6235e9e4d44bf71ca2a4270b"), ObjectId("6235e9e4d44bf71ca2a4270c"), ObjectId("6235e9e4d44bf71ca2a4270d"), ObjectId("6235e9e4d44bf71ca2a4270e"), ObjectId("6235e9e4d44bf71ca2a4270f") ] }
包含abc
> db.namestest.find({"name":{"$regex":"abc"}});
{ "_id" : ObjectId("6235e9e4d44bf71ca2a42706"), "name" : "abc jin" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a42707"), "name" : "jinabc111" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a42708"), "name" : "dbcabcll" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a42709"), "name" : "abc jji" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270a"), "name" : "jinjinabc abc" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270b"), "name" : "abc ciuab" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270c"), "name" : "abciu \n aaa" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270d"), "name" : "abcabcabc ciuciu" }
不包含abc
> db.namestest.find({"name":{"$not":/abc/}});
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270e"), "name" : "ciujcb ABC" }
{ "_id" : ObjectId("6235e9e4d44bf71ca2a4270f"), "name" : "ABCABC" }
比较一下有和没有索引的情况:
没有索引的情况:
> db.namestest.find({"name":{"$regex":"abc"}}).explain();
...
"winningPlan" : {
"stage" : "COLLSCAN",
"filter" : {
"name" : {
"$regex" : "abc"
}
},
"direction" : "forward"
},
...
> db.nametest.createIndex({"name":1});
{
"numIndexesBefore" : 1,
"numIndexesAfter" : 2,
"createdCollectionAutomatically" : true,
"ok" : 1
db.nametest.find({"name":{"$regex":/abc/}}).explain("executionStats"); ... "winningPlan" : { "stage" : "FETCH", "inputStage" : { "stage" : "IXSCAN", "filter" : { "name" : { "$regex" : "abc" } }, "keyPattern" : { "name" : 1 }, "indexName" : "name_1", "isMultiKey" : false, "multiKeyPaths" : { "name" : [ ] }, "isUnique" : true, "isSparse" : false, "isPartial" : false, "indexVersion" : 2, "direction" : "forward", "indexBounds" : { "name" : [ "[\"\", {})", "[/abc/, /abc/]" ] } } } db.nametest.find({"name":{"$regex":/^abc/}}).explain("executionStats"); ... "winningPlan" : { "stage" : "FETCH", "inputStage" : { "stage" : "IXSCAN", "keyPattern" : { "name" : 1 }, "indexName" : "name_1", "isMultiKey" : false, "multiKeyPaths" : { "name" : [ ] }, "isUnique" : true, "isSparse" : false, "isPartial" : false, "indexVersion" : 2, "direction" : "forward", "indexBounds" : { "name" : [ "[\"abc\", \"abd\")", "[/^abc/, /^abc/]" ] } } },
很奇怪啊,为什么/abc/也走了索引,认知范围内%abc%这样的匹配应该走collscan。经过查询得知:
Actually according to the documentation,
If an index exists for the field, then MongoDB matches the regular expression against the values in the index, which can be faster than a collection scan. Further optimization can occur if the regular expression is a “prefix expression”, which means that all potential matches start with the same string. This allows MongoDB to construct a “range” from that prefix and only match against those values from the index that fall within that range.
http://docs.mongodb.org/manual/reference/operator/query/regex/#index-use
In other words:
For /Jon Skeet/
regex ,mongo will full scan the keys in the index then will fetch the matched documents, which can be faster than collection scan.
For /^Jon Skeet/
regex ,mongo will scan only the range that start with the regex in the index, which will be faster.
和/^abc/不同的是indexBounds,/abc/相当于是没有扫描范围,全部扫描,但是也是通过索引进行的全部扫描,正常走索引应该是通过二分查找来缩小查询速度,这里走索引只是为了快速获得name的所有值,即遍历整个索引。
https://stackoverflow.com/questions/17501798/mongodb-performance-of-query-by-regular-expression-on-indexed-fields
https://docs.mongodb.com/manual/reference/operator/query/regex/#index-use
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