No more nonsense, we're working directly ...Open the Black window directly under the directory:Then we'll start to look at the files we've created:Then we start to create the catalog under the project:From here we can clearly see that our catalogue is separated from the previous background, the introduction of the template is also very simple, as shown in:This allows Chen Gong access to our front end,,,Killing Thunder Dog---node. JS---16 project construction in Node+express+
Source: http://www.educity.cn/wenda/361741.htmlPymongo Delete data according to ObjectId _idWant to delete data, according to _ID, is the most reliable, concrete methodBecause _id is a objectid () object, you first have to introduce a pair of images, where are the objects?Reading, found is a Bson fragment generated Objectid, then will not put this object in Bson,Try it.From Bson import ObjectIdCollgroup.remove ({"_id": ObjectId (' _id string ')})PerformIt's OK ..."
Mongo java and/or multi-condition query, using java// And, or multi-condition joint Query// Age condition (and condition)BasicDBList condList = new BasicDBList ();BasicDBObject cond = new BasicDBObject ();Cond. put ("$ gt", 0 );Cond. put ("$ lte", 40 );BasicDBObject composeCod = new BasicDBObject ();ComposeCod. put ("age", cond );CondList. add (composeCod );// Name ConditionBasicDBObject nameCond = new BasicDBObject ();NameCond. put ("name", "name ");
First, the indexDb.person.remove ({})for (Var i=0;ivar rand = parseint (I*math.random ());Db.person.insert ({"Name": "XX" +i, "age": Rand})}Db.person.find ({"Name": "XX" +1000}). Explain ()Stage is Collscan description does not go index, walk index words will show IXSCANDb.person.ensureIndex ({"Name": 1})Here we use the Ensureindex to build an index on name. "1": Indicates ascending by name, "1": Indicates descending by name.Db.person.getIndexes ()Db.person.dropIndex ({"Name": 1})Db.person.ensur
C # developing Mongo notes article 9It is good to skip a few documents using skip. However, if there are a large number of skips, it will become very slow, because you must first find the data to be skipped and then discard the data. Most databases store more metadata in indexes for processing skip addresses. However, mongoDB does not currently support this feature, so avoid skipping too much data. The last query result can be used to calculate the ne
Recently got a copy set of MongoDB, tested today under node. JS Call replica set script, test pass. Record them.varMongoclient = require (' MongoDB '). mongoclient;//Mongodb://user:[email protected]:p the full format of the Ort/dbname?replicaset=replicasetname connection, the replica set does not need to write out a list of all the servers, Only part of the write is also available, but if there is a problem with the part of the server, whether it will fail and be confirmed latervarurl = ' Mongod
var querydetail = new Bsondocument ("CNo", DOC.CNO);Querydetail.addrange (New Bsondocument ("Details.ddate", doc.ordate)); //Data with the same report date in the Daily table array bool exist = Tbldays.findsync (Querydetail). Any (); if (exist) { #region data for the same report date in the daily table array, the is updated by field. listRequests. ADD (New updateonemodel var updatedetail = new Bsondocument ();foreach (Var propert in properties){var vals = Propert. GetValue (detail)
First we set up this library under the command line:Then we introduce the MongoDB module into the project:var Mongoclient = require (' MongoDB '). mongoclient; var Db_str = "Mongodb://localhost:27017/blog"; // Here's a library built under MongoDB. var ObjectId = require (' MongoDB '). ObjectId; // This is mainly used to deal with MONGODB under the IDThis enables MongoDB in the project to successfully introduce ...Killing Thunder Dog---node. JS---19 project construction in Node+express+
In fact, MongoDB can be set to Windows services, this operation is for convenience, each time the boot MongoDB automatically started.Create a new folder log (log file) under D:\mongodb\data and create a new file Mongodb.logCreate a new file in D:\mongodb Mongo.config
Open Mongo.config input with Notepad:Dbpath=d:\mongodb\data\dbLogpath=d:\mongodb\data\log\mongo.logMongod--config D:\mongodb\mongo.config--install--servicename "MongoDB"Open cmd Input services.msc view service can see MongoDB ser
Label: NoSQL's use of human data in a very short time is high, not only as a new storage idea, but also because it is more efficient at manipulating big data than the relational databaseTools/Materials
A CentOS computer connected to the Internet
Download the installation file
Download the installation filewget https://fastdl.mongodb.org/linux/mongodb-linux-i686-2.6.7.tgz?_ga=1.68265944.858401362.1421216907
View downloaded compressed filesEND
Unzip the file
': ' Starlee '}, {$inc: {' Age ': 3}})Mysql:SELECT COUNT (*) from user WHERE ' name ' = ' Starlee 'Mongo:Db.user.find ({' name ': ' Starlee '}). Count ()Mysql:SELECT * from user limit 10,20Mongo:Db.user.find (). Skip. Limit (20)Mysql:SELECT * from user WHERE ' age ' in (25, 35,45)Mongo:Db.user.find ({' age ': {$in: [25, 35, 45]}})Mysql:SELECT * from user ORDER by age DESCMongo:Db.user.find (). Sort ({' Age ':-1})Mysql:SELECT DISTINCT (name) from user WHERE age > 20Mongo:Db.user.distinct (' name
directory(1) Manually unzip the file, unzip it as shown below:(2) Create a table of contents (see the instructions above)
/usr/local/mongodb
/usr/local/mongodb/data/
/usr/local/mongodb/log/
After the above is established, create a log file in the log folder both: Mongodb.log
Configure MongoDB
--Enter the MongoDB command line# cd/usr/local/mongodb/bin/#./mongod--dbpath=/usr/local/mongodb/data/--logpath=/usr/local/mongodb/log/mongo.log(./mongod--db
This article mainly introduced about the MONGO index of some of the notes, has a certain reference value, now share to everyone, the need for friends can refer to
Index usage Scenarios
Excellent: Faster query speed
Inferior: Add and delete will incur additional overhead, occupy space
Tips: Returns more than half of the data in a collection, with high efficiency for full table scans
Index base
Basic operations
View index: Db.test.getIndexes ()
CREATE
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