couch nosql

NoSQL data model (4) Summary of nosql aggregation, NoSQLBackground in the first three articles, we have introduced three databases that belong to the aggregation model in NoSQL: Key-value type, document type, and column family type. The following analyzes the common points and differences of the three aggregate data models to better understand their respective ch

Key-Value Store databaseTemporary: as memcached. The temporary key-value database stores the data in memory, which in two cases results in the loss of data, the first is the power outage, but the data content exceeds the memory size. The benefits of this treatment are very fast.Permanent type: such as Tokyo Tyrant, flare and RomaThe two are both types: Redis. Redis first data in memory, and then meet certain conditions (the default is 15 minutes more than 1 times, 5 minutes more than 10, 11 minu

[ArticleAuthor: Sun Li link: http://www.cnblogs.com/sunli/ updated by: 2011-2-21] The previous two articles, "Why use nosql" and "relational database or nosql Database", roughly introduced why nosql should be used and when nosql should be used. I often feel confused when I see the introduction of

Do you really understand the nosql world ?, Nosql world Recently, I want to sort out my nosql knowledge and some nosql databases. One is to deepen your understanding of nosql, and the other is to organize your knowledge to make it more organized. So I started to

Differences between NoSQL and SQL: NoSQL and SQL. About the difference between NoSQL and SQL, NoSQL and SQL simply put: SQL is a structured query language for relational databases, while nosql generally refers to relational databases, and SQL statements cannot be used, no di

Tags: relational data table NoSQL database L database Combat div operation Field Why NoSQL is produced: The fact that relational databases are not good at doing so is the reason why NoSQL is Born: Large number of data write operationsThe book is written "large amounts of data write operations", I understand that should be "a large number of data

The previous "Why Use NoSQL" and "relational database or NoSQL database" two articles generally explain why NoSQL is used, and when to use NoSQL. Often have friends encounter confusion, see the introduction of NoSQL, feel very good, but do not know how to formally use their

NoSQL Injection Analysis and relief, nosql injection relief Key points of this article: 1. learn about new security vulnerabilities targeting NoSQL 2. five types of NoSQL attack methods, such as repeat, joint query, JavaScript injection, back-to-back query (Piggybacked queries), and cross-Origin Violation 3. OWASP orga

MongoDB-NoSQL, nosql Comparison between mongoDB and SQL: The biggest difference from a common database is structured and unstructured. NoSQL: Generally, it refers to non-relational databases. Compared with relational databases, in fact, its previous evolution is a data organization combined from a two-dimensional table and its relationships. A two-dimensional tab

transaction changes A, then the B must be changed so that the transaction will still satisfy a+b=10, otherwise the transaction fails.3, I (isolation) IsolationThe so-called independence refers to the concurrent transactions do not affect each other, if one transaction to access the data is being modified by another transaction, as long as another transaction is not committed, the data it accesses is not affected by uncommitted transactions.For example, there is a transaction from a to 100 yuan

NoSQL architecture practice (I)-supplemented by NoSQL (1) using NoSQL as an image It does not change the original architecture that uses MySQL as the storage, uses NoSQL as the auxiliary image storage, and uses the advantages of NoSQL to help improve performance. Figure 1-

The reason for writing this article is that mysql5.6.2 suddenly launched the memcached function. The emergence of nosql to InnoDB with memcached shows that nosql has indeed had a huge impact on relational databases. I personally think this is a huge improvement, allows developers to use nosql and relational databases more conveniently.