mongodb performance issues

This article is to translate the MongoDB Production Notes section in MongoDB Manuel. This section focuses on considerations that affect performance and reliability in the production environment, and deserves the attention of those who are deploying MongoDB. This article describes in detail the key system configurations

I recently started to study MySQL and MongoDB and found that there is not much information in this area. Especially when it comes to ideasArticle, Too few. Some articles on comparative testing are basically blind tests. The testing methods are tested on the horse, and the conclusion is basically that nosql has no value. Let me borrow the sentence from Russell Smith: It's not MongoDB, but you don't under

When your users complain that the changed information does not change, the deleted data is still displayed, you pinch the count, it is estimated that the database master never synchronized.As with other databases that provide data synchronization, MongoDB also encounters synchronization latency issues in MongoDB's replicaOr provideserythromycin stearate 500mglike though. Hairhttp://blog.kaluinteriors.com/iq

Tags: style http color io ar strong for SP problemConsiderations for creating geo-spatial indexesThe creation of the geospatial index failed with the following error message> Db.places.ensureIndex ({"loc": "2dsphere"}){"Createdcollectionautomatically": false,"Numindexesbefore": 1,"OK": 0,"ErrMsg": "Can ' t extract Geo keys from object, malformed geometry?: {_Id:objectid (' 5428bb224f26d9aa1af3d844 '), name: \ "Hudson river\", loc: {type: \"Line\", coordinates: [[0.0, 1.0], [0.0, 2.0], [1.0, 2.0]

MongoDB-level data Insert, Query, and Delete performance tests (without or without indexing) Let's take a look at the testing machine performance (64bit ): Performance_^ [root @: ~] # Grep"Model name"/Proc/cpuinfo | cut-f2-d: Intel (R) Xeon (R) CPU E5606 @ 2.13 GHz Intel (R) Xeon (R) CPU E5606 @ 2.13 GHz Intel (R) Xeon (R) CPU E5606 @ 2.13 GHz Intel (R)

SpiderMonkey Mongo js shell After I have compiled the Mongodb v8 version, I will compare and test the four environments. Compile mongodb + v8 In OpenSUSE11.4, it is easy to use the linux package management tool to prepare the compiling environment: # Installed Package: g ++ subversion git python Code highlighting produced by Actipro CodeHighlighter (freeware)http://www.CodeHighlighter.com/--> Sudo zypper

1. An error occurred after running "sudo apt-get install mongo-org" on the Terminal:ReadingPackage lists... DoneBuildingDependency TreeReadingState Information ... Done E: unable to Locate package MongoDB -org //this is the errorIt is still the error message after running "apt-get update".2. The result is set after the following steps are installed successfully:#Step 1: ImportTheMongodb PublicKey sudo apt-Key adv--Keyserver HKP:keyserver.ubu

sort by the number of views, what do I do? Then there is the second design approach, which is the embodiment of NoSQL = not-only SQL. There are authors and articles two collection Author { _id:new obectid ("Blublublu"), Name: ' Portwatcher ', age : ' + ', email: ' [email protected] ' } Article { _id:new ObjectID ("Lalalala"), title: ' You guess ', content: ' I am content ', viewcount: 52345, aut

Conclusion: 1, 200w data, reasonable use of the index case, a single stationid under 4w data. MongoDB Query and sorting performance ideal, no regular when the client can complete the query in 600ms+, qps300+. When there is a regular client can complete the query in 1300ms+, qps140+. 2, MongoDB count performance is re

MongoDB is a high-performance data, but in the process of use, you will occasionally encounter some performance problems. MongoDB is relatively new compared to other relational databases, such as SQL Server, MySQL, and Oracle, and many people are not familiar with it, so many developers, DBAs tend to focus on the imple

MONGDB Performance pressure test, random query, data volume 100 million records Operating system centos6.4x64 bit From the test results, when MongoDB all the data into memory, query speed according to the size of the document, performance bottlenecks are usually in the network traffic and CPU processing performance (

, what you need to do as a technician is to increase the performance of the software and the number of users at the same time, even faster than the increase in user volume. MongoDB Performance Optimization The database performance has the vital influence to the software overall p