在一个MongoEngine模型中，当我使用时，我使用的是引用字段schedule=ReferenceField('Schedule',required=True)并尝试插入文档#my_schedulebeinga'Schedule'objectthathasbeencreatedandsavedsuccessfullyrecord.schedule=my_schedulerecord.save()我明白了ValidationError:ValidationError(Calling:None)(AReferenceFieldonlyacceptsDBRefordocuments:['
在一个MongoEngine模型中，当我使用时，我使用的是引用字段schedule=ReferenceField('Schedule',required=True)并尝试插入文档#my_schedulebeinga'Schedule'objectthathasbeencreatedandsavedsuccessfullyrecord.schedule=my_schedulerecord.save()我明白了ValidationError:ValidationError(Calling:None)(AReferenceFieldonlyacceptsDBRefordocuments:['
我有一个如下所示的MongoDB聚合:[{"$match":[{"Created":{"$gte":ISODate("2014-01-10T00:00:00Z")}}]},{"$group":{"_id":[{"year":{"$year":"Created"}},{"month":{"$month":"Created"}},{"day":{"$dayOfMonth":"Created"}}],"count":{"$sum":1}}}]当我在MongoVUE中运行此查询时，它返回以下错误:IncorrectsyntaxinpipelineEachiteminthepipelinemus
我有一个如下所示的MongoDB聚合:[{"$match":[{"Created":{"$gte":ISODate("2014-01-10T00:00:00Z")}}]},{"$group":{"_id":[{"year":{"$year":"Created"}},{"month":{"$month":"Created"}},{"day":{"$dayOfMonth":"Created"}}],"count":{"$sum":1}}}]当我在MongoVUE中运行此查询时，它返回以下错误:IncorrectsyntaxinpipelineEachiteminthepipelinemus
我很难理解ACTION_OPEN_DOCUMENT和ACTION_GET_CONTENTIntent用于打开可打开文档时之间的区别。如果我在KitKat之前支持Andriod，它不支持ACTION_OPEN_DOCUMENT，我应该选择ACTION_GET_CONTENT吗？documentation是这样说的:ACTION_OPEN_DOCUMENTisnotintendedtobeareplacementforACTION_GET_CONTENT.Theoneyoushouldusedependsontheneedsofyourapp:UseACTION_GET_CONTENTif
我在Android中使用PhoneGap+jQueryMobile，我对Phonegap的“onBodyLoad()/onDeviceReady()”函数和Jquery的“$(document).ready()”感到困惑。在PhoneGap文档中:PhoneGapconsistsoftwocodebases:nativeandJavaScript.Whilethenativecodeisloading,acustomloadingimageisdisplayed.However,JavaScriptisonlyloadedoncetheDOMloads.Thismeansyourweb
我正在尝试使用MongoDB处理时间序列。社区采用的常见解决方案是使用子文档来存储不同粒度级别的信息(参见SchemaDesignforTimeSeriesDatainMongoDB)。例如，看看下面的文档:{timestamp_minute:ISODate("2013-10-10T23:06:00.000Z"),type:“memory_used”,values:[999999,//1second…1000000,//nthsecond1500000,//n+1thsecond…2000000//60th]}该文档按分钟信息进行索引，并包含一个子文档，该子文档存储每秒更详细的信息。到
我正在尝试使用MongoDB处理时间序列。社区采用的常见解决方案是使用子文档来存储不同粒度级别的信息(参见SchemaDesignforTimeSeriesDatainMongoDB)。例如，看看下面的文档:{timestamp_minute:ISODate("2013-10-10T23:06:00.000Z"),type:“memory_used”,values:[999999,//1second…1000000,//nthsecond1500000,//n+1thsecond…2000000//60th]}该文档按分钟信息进行索引，并包含一个子文档，该子文档存储每秒更详细的信息。到
>db.events.find(){"_id":ObjectId("50911c3e09913b2c643f1215"),"context":"jvc8irfjc9cdnf93","key":"value"}{"_id":ObjectId("50911c4709913b2c643f1216"),"context":"jvc8irfjc9cdnf93","key":"newvalue"}{"_id":ObjectId("50911c4b09913b2c643f1217"),"context":"jvc8irfjc9cdnf93","key":"newervalue"}{"_id":Obj
>db.events.find(){"_id":ObjectId("50911c3e09913b2c643f1215"),"context":"jvc8irfjc9cdnf93","key":"value"}{"_id":ObjectId("50911c4709913b2c643f1216"),"context":"jvc8irfjc9cdnf93","key":"newvalue"}{"_id":ObjectId("50911c4b09913b2c643f1217"),"context":"jvc8irfjc9cdnf93","key":"newervalue"}{"_id":Obj
