mongodb vs rdbms performance

Label:Do you encounter performance problems when using MongoDB? Here is a summary of the five steps of MongoDB performance optimization, which I hope will help. First step: Find the slow statement In general, query statements are too slow and performance problem bottlenecks

,64.0g memory, centos6.5 64-bit.1. Mongod into the line test, query speed 13000QPS..2. Router into the line test, query speed 10000QPS.Summary: Finally find the problem root knot, clientcpu the number of cores determines the speed of MongoDB query.Conclusion1. Li Yun's cloud host has made certain restrictions, resulting in. Anyway, set the system. Database configuration, all. Unable to break through. An order of magnitude of QPS.The number of 2.CLIENT

Tags: IDT concurrent scenarios MongoDB multithreaded Data test report God 10gServer Size: Single-node deployment, disk 1T, memory 128G Concurrent Import Size: 1, multithreading concurrent import CSV file 2,csv file 10,000, 100,000, 1 million, 2 million rows of records 4 sizes 3, each CSV corresponds to a collection Concurrency Query Scale 1, multi-threaded concurrent query different collection 2, divided into full table query and local query two scena

, you can directly add the index input: {"name": 1, "Age":-1. Do not drop the table after creating an index. 2. OptimizationCodeImproper use of the method will significantly affect mongdb performance. Here I will list my usage experience: A. simply update the data using template. updatefirst () or template. updatemulti () instead of template. findandmodify (); B. Simply add a data operation and use 'template. insert () 'instead of 'template. Sa

using PowerShell Call Mtools Analyze MongoDB performance and send mailProblem Description:In MongoDB daily operations, it is often necessary to view the trend graph, slow query, overflow statement, and connection source of the number of connections.Solution:1. Mount the Windows Backup machine directory to the MongoDB l

, centos6.5 64-bit. Ucloud, router: 16 CPU, 64.0g memory, centos6.5 64-bit1. perform a test on mongod. The query speed is 13000qps.2. perform a test on the router. The query speed is QPS.. Conclusion: the root cause of the problem is found. The number of client cpu cores determines the mongodb query speed.Conclusion1. Alibaba Cloud's cloud host has some restrictions, resulting in no matter how to set the system or database configuration, it cannot bre

Tags: wan theory large number of connections coded pad memory alt modeThe performance test of MONGODB billion data volume was carried out, and the following items were tested:(All inserts are single-threaded and all reads are multithreaded) 1) Normal insertion performance (the inserted data is about 1KB per piece) 2) Bulk Insert

represents the number of documents scanned.2 If the information is incomplete, you can try to use a different version of the client. Optimizer: Profiler Open function. 1 can be started by adding parameters:-profiler=12 Execution Command: Db.setprofilinglevel (1) Query record: Db.system.profiler.find () Performance Tuning Overview Performance Optimizati

1. Display Server Status: Db.serverstatus () 2. MongoDB can monitor data through profile to optimize it. Check whether the profile function is currently turned on: Db.getprofilinglevel () returns level, value 0|1|2, meaning: 0 for off, 1 for slow command, 2 for all Open profile function: Db.setprofilinglevel (level,slowms); #level等级. At level 1 o'clock, the slow command defaults to SLOWMS (unit ms)(that is, execution time is greater than

This article introduces how to use $ or and sort () to query performance analysis in MongoDB. If you need it, let's take a look at it. If you don't design thousands of records for your website, the server will be stuck. The Code is as follows: Copy code Mongos> db. find ({"user": "jhon"}). sort ({"name ":1}). limit (100). explain (){"Cursor": "BtreeCursor user_1 ","Nscanned": 10100,"

Db.app_users.aggregate ([{ $project:{ fs:1,ls:1, subt:{$subtract: [' $ls ', ' $fs ']}, days714:{ $cond: [ { $gte: [' $ls ', (Math.Round (Newdate ()). GetTime () /1000) -14*24*60*60)]},1,0] }, days1430:{ $cond:[ { $and:[ { $lte: [' $ls ', (Math.Round (Newdate ()). GetTime () /1000) -14*24*60*60)]}, { $gte: [' $ls ', (Math.Round (Newdate ()). GetTime () /1000) -30*24*60*60)]} ]} ,1,0]}, days30:{ $cond:[{ $lte: [ ' $ls ', (Math.Round ((Newdate ()). GetTime () /1000) -30*24*60*60)]},1,0] }, days81

Tags: blog point stat log roo exec DMI default primaryOne, write performance test script [Email protected] bin]#/mongo 172.27.8.118:40000 sharding_2:primary> Use adminSwitched to DB adminSharding_2:primary> Db.auth (' WLAN ', ' WLAN ') Sharding_2:primary> Use Estestdbnew Switched to DB estestdbnew for (Var i=0;i; i++) {Db.estestdbnew.insert ({name:"new", Age:999})} One, bulk write performance test script v

third query, $ or is used separately, and the performance is good. Later in the official forum to ask a question, learned that there is a bug: https://jira.mongodb.org/browse/SERVER-1205 It will be modified in the future. Record it today. Forum reply: I believe the issue you are running into is expressed in this JIRATicket: https://jira.mongodb.org/browse/SERVER-1205 I believe the query optimizer is choosing to use the name index andWalk it backwards

1. Test ToolsThis test chooses YCSB (Yahoo! Cloud System Benchmark) as the test Client tool. YCSB is a NoSQL test tool for Yahoo Open source, used to test the performance of a variety of NoSQL, project address: Https://github.com/brianfrankcooper/YCSB. The project's MongoDB directory has detailed installation and testing methods.YCSB supports common NoSQL database reads and writes, such as inserting, modify

to say, about the introduction of information, installation and other please pull to the end of the article, I attached some information, later if necessary to share. This article focuses on MongoDB paged query, why? Paging is a common killer, bad, customer scold, manager scold.Traditional SQL PagingTraditional SQL paging, all the solutions are almost row_number, for the needs of a variety of sorting, complex query scenarios, Row_number is the killer

Because do not enter the database, this article does not represent MongoDB performance, only in this and IO to do a simple comparison of the performance is not scientific, but also from the side to explain a certain problem, to the development of a certain hint. Attached: This test and in early 2012, due to the late entry of the blog, may be different, welcome to

Label:This article focuses on the paging query of MongoDB Traditional SQL Paging Traditional SQL paging, all the solutions are almost row_number, for the needs of a variety of sorting, complex query scenarios, Row_number is the killer. In addition, for the current web is very popular Poll/push load paging way, generally use time stamp to achieve paging. These two kinds of paging can be said that the former is universal, even LINQ generated by the pagi

, there are two ways to set the method and level, one is to add the –slowms boot parameter configuration. The second is to add the second parameter when calling Db.setprofilinglevel: Db.setprofilinglevel (level, slowms) db.setprofilinglevel (1, 10); 2. Query Profiling Records Unlike MySQL's slow query log, MongoDB profile records are directly present in the system DB, recording location system.profile, so we can only query this collection record to

MongoDB has been the most popular NoSQL, and according to Db-engines ranking the latest ranking, now MongoDB has defeated PostgreSQL leaped to the fourth place in the database ranking, after Oracle, MySQL and Microsoft SQ L Server, this article summarizes how to MongoDB performance tuning. Have you ever encountered

31075.847 Storage size (GB) Database type Mysql Mongodb Tokumx Couchbase 10 million 19 4.2 8.5 11.2 Conclusion:1. Insert ops for all NoSQL databases read stronger than MySQL, where Couchbase is the strongest, then MongoDB and Tokumx2. All NoSQL database insertion delay reads are