mongodb chunk size

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This article from: HTTP://WWW.OPEN-OPEN.COM/LIB/VIEW/OPEN1427078982824.HTML#_LABEL3For more information, see official website: http://docs.mongodb.org/manual/release-notes/3.0/Reference article:Test:

Mongodb chunk size settings, mongodbchunk The default value is 64 MB. The value range is 1 MB to 1024 MB. So what will the modification cause? The following table is a summary: Chunk size adjustment Splitting

Basic concept basic features 1 rich data type 2 easy to expand 3 rich features 4 no sacrifice speed 5 Easy management scenario storage model concurrency control memory management disaster recovery 1 Backup 2 Repair MongoDB Transport Protocol MongoDB

The default is 64MB, and the value range is 1 MB to 1024x768.What does that change cause? The following table summarizes briefly: Chunk Size Adjustment splitting times (number of fragments)

MongoDB distributed sharding Cluster [4]Sharding cluster configuration of MongoDBSharding cluster IntroductionThis is a horizontally scalable mode, which is especially powerful when the data volume is large. In practice, large-scale applications

MongoDB is one of the most widely used NoSQL (not-only SQL) engines in the world, ranking very well above the db, and is the May ranking:　　You can see that the previous four are traditional relational databases, and MongoDB is the first in NoSQL.

As the volume of MONGODB data increases, it is possible to limit the storage capacity of a single node, and application a large number of accesses can also cause a single node to fail, so a clustered environment needs to be built and the entire

Transferred from: http://www.cnblogs.com/cswuyg/p/4355948.html1. Count Statistics result errorThis is because the distributed cluster is migrating data, which results in a count result value error and requires the use of aggregate pipeline to obtain

MongoDB initial guide If the technology is just as early as the first time, will it still be difficult? MongoDB has been introduced in the system for several years. At the beginning, it was because a single table of MySQL records grew too fast