mongodb performance benchmark

Let's take a look at the testing machine performance (64bit ): ^_^[root@:~]#grep "model name" /proc/cpuinfo | cut -f2 -d: Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13GHz Intel(R) Xeon(R) CPU E5606 @ 2.13G

]# php ss_get_by_ssh.php--type mongodb--host 10.254.3.62--port2 30000--items JC,JDJc:4 jd:5497683968 5, generate the monitor diagram In the interface, select "Device", select the MongoDB server Connection "3.x2_mongodb", then select "Create Graphs for this Host" in the upper right corner, select the MongoDB service item in the dropdown box after "Graph Types", Yo

MongoDB paging query method and Performance I have been a little busy recently. There are a lot of things to summarize. In fact, there should be four, five, and six Redis series... however, Redis in Action has not been completed yet. I will summarize it later. Otherwise, it will be too watery. Sorry, readers. Since the last time in Redis, it was a bit of an entry into Nosql products. This will change the di

We are going to perform a simple test on reading and writing MongoDB, Redis, and Tokyo Tyrant. To perform a fair test, we need to understand the implementation mechanism behind them. Below are some comparisons:Comparison of storage implementation:* Memory File Image (Memory-File Mapping) Redis, MongoDB* File + Cache Tokyo Tyrant* Memory: Redis, Tokyo TyrantKey/Value index format:* B + Tree:

handlersocket. Therefore, we can see that the number of QPS is significantly greater than the number of TPS, and batch insert operations significantly improve the overall performance. MongoDB adopts the method of merging operations internally. Data is first stored in the memory and then flushed to the disk. Therefore, from the test data, we can see that the TPS curve slope is very high: Sometimes the T

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

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

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

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 databas

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