AI代码解释 db.xiaoxu.explain("executionStats").count({fld4:null}).executionStats{"executionSuccess":true,"nReturned":0,"executionTimeMillis":384,"totalKeysExamined":550002,"totalDocsExamined":0,"executionStages":{"stage":"COUNT","nReturned":0,"executionTimeMillisEstimate":59,"works":550002,"a...
"winningPlan" : { "stage" : "PROJECTION_SIMPLE", "transformBy" : { "appName" : 1, "_id" : 0 }, "inputStage" : { "stage" : "COLLSCAN", "filter" : { "$and" : [ { "accessTime" : { "$lt" : ISODate("2023-01-06T14:04:53.000+08:00") } }, { "accessTime" : { "...
“stage” : “PROJECTION_SIMPLE”, “transformBy” : { “appName” : 1, “_id” : 0 }, “inputStage” : { “stage” : “FETCH”, “inputStage” : { “stage” : “IXSCAN”, “keyPattern” : { “accessTime” : 1, “deptIdOfOperator” : 1 }, “indexName” : “accessTime_1...
{ "queryPlanner" : { "plannerVersion" : 1, "namespace" : "ecommerce.products", "indexFilterSet" : false, "parsedQuery" : { "price" : { "$gt" : 65 } }, "winningPlan" : { "stage" : "PROJECTION", ... "inputStage" : { "stage" : "IXSCAN", ... } }, "rejectedPlans" ...
{ stage: 'PROJECTION_COVERED', transformBy: { userid: 1, _id: 0 }, inputStage: { stage: 'IXSCAN', keyPattern: { userid: 1 }, indexName: 'userid_1', isMultiKey: false, multiKeyPaths: { userid: [] }, isUnique: false, isSparse: false, isPartial: false, indexVersion: 2, ...
"stage" : "PROJECTION_SIMPLE", "transformBy" : { "userid" : 1, "_id" : 0 }, "inputStage" : { "stage" : "COLLSCAN", "filter" : { "userid" : { "$eq" : "1003" } }, "direction" : "forward" } }, "rejectedPlans" : [ ] ...
视图定义是公开的;即视图上db.getCollectionInfos()的explain操作将包括定义视图的管道。因此,请避免在视图定义中直接引用敏感字段和值。 删除视图 要删除视图,请在视图上使用db.collection.drop()方法。 修改视图 您可以通过删除并重新创建视图或使用collMod命令来修改视图。
projection = {"_id": 0, "league": 0, "pilots": 0} # Empty criteria for this one races.find_one({}, projection) {'name': 'Honorable', 'location': {'venue': 'Manhattan Seas', 'city': 'Ford', 'country': 'United Kingdom', 'date': 'error: invalid date "2024-10-25"'}, ...
{ "stage" : "PROJECTION_SIMPLE", "transformBy" : { "timetag" : 1 }, "inputStage" : { "stage" : "SORT_MERGE", "sortPattern" : { "timetag" : 1 }, "inputStages" : [ { "stage" : "FETCH", "filter" : { "$and" : [ { "nid" : { "$eq" : 50 } }, { "status" :...
db.mycollection.find()实现查找mycollection集合中的所有文档。 注:该方式只适用与shell中 (2)mycollection = db.getCollection("mycollection");mycollection.find()。 该方法可以在JavaScript文件和shell中使用 MongoDB提供了很多方法,用于对集合进行一系列的操作,大家可以点击上面的链接查看最新的方法。