nosql scalability

Unlike the scalability design of a cache server cluster, the scalability of the data storage server cluster demands higher data durability and availability.The purpose of the cache is to speed up the data read and reduce the load pressure on the data storage server.Therefore, the loss of some cached data does not affect the normal processing of the business because the data can also be obtained from storage

. Depicts the process of virtual "evolution" of the main NoSQL family system, namely key-value storage, BigTable type database, document database, full-text search engine, database and graph database: First, we should note that, in general, SQL and relational models were designed long ago to be used for end-user interaction. This user-oriented nature has a very deep impact: End users tend to be interested in summarizing report information rather than

engineer Ted Dziuba, founder of Milo (local store search engine), recently published an astonishing blog titled "I Can't Wait for NoSQL to Die ", the applicability of NoSQL is analyzed. He believes that,NoSQL will also bring about a series of new problems that will not become the mainstream and cannot replace relational databases. The reason for this is that

look at this problem from the perspective of system design. 1 .? Index support. At the beginning of the relational database service, I did not think that today's Internet applications have such high requirements on scalability. Therefore, the main consideration during the design is to simplify the work of users. The generation of SQL language promotes the standardization of database interfaces, thus forming a database company like Oracle and driving

://nosql.mypopescu.com/NoSQL Related blog: http://blog.nosqlfan.com/Sina Weibo nosql Micro Group: http://q.t.sina.com.cn/127870 About the author Sun Li, currently in charge of the development of the bottom group in Phoenix. Worked for Sohu and Ku6. Years of Internet experience and program development, a wealth of experience in the development of distributed search engines, high concurrency, large data Web

Most of the articles seem a bit old, and don't know what the architecture of FB, TUMBLR, Pinterest and Twitter are like now.1, clustering vs sharding? Auto/manual (need to remove join, add cache,nosql doesn't seem to be as mature as MySQL?) But Hbase/cassandra seems to be able to do it again.2, technology for business services, architecture for application services, so innovation lies in the discovery of real valuable problems (demand)3. Apply a speci

"Eventually Consistent" (released onACM Queue). If youFinal consistency"Not very clear. Please read this article. Brewer'sCAP Theory(The basis of scalability) can be found here. You can also take a look at the original Brewer slides on PODC 2000. A slide at the NoSQL Conference on SFO on March 13, June 2009. These materials can be described as classic, key, and memorable. SQL Databases Don't Scale is a

storage* Allegrograph: Combines memory and disk, provides high scalability, supports SparQ, rdfs++, and Prolog inference Six, a simple comparison of nosql and SQL syntaxThe basics of NoSQL are described earlier, using HBase and Oracle as examples to make simple comparisons of NoSQL and SQL syntax. The HBase d

data storage* Allegrograph: Combines memory and disk, provides high scalability, supports SparQ, rdfs++, and Prolog inference Six, a simple comparison of nosql and SQL syntaxThe basics of NoSQL are described earlier, using HBase and Oracle as examples to make simple comparisons of NoSQL and SQL syntax. The HB

Many programmers spend a lot of time tuning application-level performance bottlenecks as they address JVM performance issues, and when you finish reading this series you will find that I might look at this kind of problem more systematically. I've said that the JVM's own technology limits the scalability of Java enterprise-class applications. First, let's start by listing some of the leading factors. The mainstream hardware server provides a

MySQL performance tuning and Architecture Design-Chapter 1 Data splitting of scalability design and mysql Optimization Chapter 1 Data splitting for scalable design Preface The expansion implemented through the MySQL Replication function is always limited by the size of the database. Once the database is too large, especially when writing too frequently, it is difficult to support it by a host, we are still faced with expansion bottlenecks. At this tim

The scalability of NoSQL systems is the main reason for the development of NoSQL, including distributed system coordination, failover, resource management and many other features. In this case, NoSQL sounds like a big basket, and everything can be inserted. Although the NoSQL