nosql database use cases

1. Manage the node deployment location 1.1.DedicatedManagerserverandmultipleMySQL (master, slaves) servers using dedicated management services 1 Management node deployment location 1.1. Dedicated Manager server and multiple MySQL (master, slaves) servers use Dedicated management services 1. Manage the node deployment location1.1. Dedicated Manager server and multiple MySQL (master, slaves) serversUse a dedicated management server to manage multip

:-Requirements, background: where the data originated, where, why to clean, what to do, what to achieve the requirements/standards2, the data source file acquisition path (method);3, data cleaning process;--requirements, highlighting the process of data flow, such as after several layers: the original file, DW--DM4, internal data business process;--Requirements, for example: the original file provided by the customer to PM--Send by the Business Department audit data Integrity---after approval by

in the blog Park headlines. See everyone's approval and comments on this article, still very happy, here for the similarities and differences between Ajax and JSONP to do some additional explanation:1, Ajax and JSONP the two technologies in the invocation of the way "looks" very much like, the purpose is the same, is to request a URL, and then the server to return the data processed, so the jquery and ext and other frameworks have Jsonp as a form of Ajax encapsulation;2, but Ajax and JSONP are

improve the effect analysis and precise advertising. the Statistical Algorithms for these two indicators are actually very simple. The main difficulty lies in the large data volume. the advertising system involves tens of millions of users and hundreds of millions of log data records each day. The first thought was to use the MySQL database, but this solution was immediately rejected, because such a large

Oracle shrinktable shrink table Use Cases There is a serious shortage of External table space in the site, and the customer does not want to resize it. To clean up some data, it is a large field blob. the tablespace is 1 TB and 0.99 TB has been used. After the blob before December 31, is deleted, GB of data is found in the basic information table of the attachment. However, the tablespace is not released (h

All calls to Nodejs are almost completely asynchronous, and all IO operations are known by callback functions. If an asynchronous call relies on another asynchronous call, it is possible to fall into the legendary callback hell if there is no promise.Bluebird implements the transformation of asynchronous callbacks into chained notation, and extends the APIs such as catch, finally, bind, and so on, which can help us focus on the error of each query.The information about promise and Bluebird found

design encapsulates Microsoft's recommended practices, which are based on Microsoft's framework for application development. For example, the data access application module provides the most frequently used features for ADO. Net access. In some cases, the application module also adds some basic library functions that are not directly provided. 4. Target of the enterprise database : 1. consistent. All en

operations and reduce energy consumption through the implementation of interconnect sensors. It is clear from the outset that relational databases are not necessarily the best choice because of the lack of data availability and scalability of relational databases. And after careful evaluation, the provider found that NoSQL is a good choice. This is because it has excellent read and write operations, the ability to expand by simply adding nodes.

use MongoDB as a pure memory database (Redis style) Basic Ideas The use of MongoDB as a memory database (In-memory db), which is not allowing MongoDB to save data to disk, has aroused more and more people's interest. This usage is very practical for the following applications: write-intensive cache embedded systems t

Today, we will continue to learn about Microsoft enterprise database 5.0. Today we will introduce the important module of Microsoft enterprise database-Unity. This articleArticleWe will mainly introduce: 1. Basic knowledge about the unity module. 2. Why should we use unity? 3. Under what circumstances should unity be used. 4. Recommendation of

Spring Boot and Kotlin use the Redis database configuration method, kotlinredis In addition to providing excellent automation support for common relational databases, Spring Boot also provides automated configuration support for many NoSQL databases, including Redis, MongoDB, Elasticsearch, solr and Cassandra. Use Redi

transaction read data that was not committed by another transaction. (There is a lot of potential for concurrent processing of the system) 2. Non-repeatable reading Within the same transaction, when reading the same data multiple times, the data was found to have been modified by another committed transaction. (data that is read two times within a transaction is not the same.) ） 3. Phantom Reading A transaction executes a query based on the same query criteria, and the returned record contains

We often use grep operations like Linux in database operations. The following solutions are available: 1. Run the MySQL operation in Linux and perform grep on it. However, this method cannot be used in MySQL. $ Mysql-u me-P "use sometable; Describe tables;" | grep "user" 2. Use pager for filtering. pager is po