mongodb vs rdbms performance

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 (

Use of MongoDB stored procedures and performance tuning Solutions Although MongoDB provides us with a lot of drivers, it is not convenient to use the mongodb shell. For example, the recently needed DBRef nested data must be CRUD. If the mog driver is used, it will be very troublesome. Therefore, we will conduct an expe

Query (table 300 million data): Simultaneous connection number op/s3 8K5 10K8 16K20K25K32K40K48K57KThe memory even index cannot be completely lowered: Cache:data = 1:10 Query (table 300 million data): Simultaneous connection number op/s3 3.4K5 4.5K8 9.3K11K14K20K24K25K34K(Click to view larger image)The index is all in memory:Cache:data is 4:10The index is not all in memoryCache:data is 1:10 Memory is large enough, the CPU is the bottleneck, the better the CPU

first part of the basic chapter II install MongoDBPart I basic chapter III MONGODB architectureThe first part of the basic chapter fourth MongoDB Quick StartThe first part of the basic chapter Fourth MongoDB queryPart Two application chapter Fifth MongoDB advanced queryPart Two application chapter sixth

The topic is not very accurate, because the database does not provide paging , ranking and other functions, providing only data access, page ranking these are our database-based practical cases only. However, whether it is Redis or MongoDB, there are usually some common ways to do paging and ranking. This article introduces some test data to show you the performance difference between Redis and

default setting, there are two kinds of setting method and level, one is by adding –slowms boot parameter configuration. The second is to invoke Db.setprofilinglevel with the second argument: Db.setprofilinglevel (level, slowms) db.setprofilinglevel (1, 10); 2. Query Profiling Records Unlike MySQL's slow query log, the MongoDB profile record is directly present in the system DB, and the record location is System.profile, so we'll just h

performance and business to set), so set a big meaningless. If you set a reasonable value, you reach this value and MongoDB the new connection request to avoid being dragged down by too many connections.2.indexcounters:btree:misses index of the number of misses, and the ratio of hits to consider whether the index is correctly established. You see my "missratio": 3.543930204420982e-7, very healthy bar. So t

are settings, 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 RecordsUnlike 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 r

First of all, I use the situation: The first used memcache, a server-side cache of key-value pairs, used to store some commonly used data that is not very large, but that requires rapid response Then, in another place, Redis is used, and then the next Redis is studied. A look, shows that they installed the PHP extension, because there is a server on the Redis service side, their own local is not installed, in fact, the usage and memcache basically the same, may be a few parameters are differen

Traditional SQL pagingIn traditional SQL paging, almost no row_number exists in all solutions. For scenarios that require various sorting and complex queries, row_number is a killer. In addition, the time stamp is usually used for paging loading by poll/push on the current web. These two types of pages can be said to be generic, and even the pages generated by Linq are row_number. The latter is the best both in terms of performance and complexity, bec