Backing Up A Sql Database

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The only way to do that is to back up the database files to disk and restore them. Eg:/* Back up the database with SQL statements/Backup DB mydb to DISK = ' C:dbbackmydb.bak '-here Specify the path and filename to back up the database, note: The folder for the path must have been created. File names can be marked with a date/* Restore the database through an SQL statement */Use master ...

In real life, backing up the database regularly is a very important thing. 　　When we use MySQL, there is a lot of choice in database backup, and this article will show readers how to use MySQL's mysqldump to back up the database. First, the importance of data backup work, if the accidental deletion of important files or directories, then the result will be miserable. Especially when the data that is accidentally deleted involves important customers or key projects, and the data can't be recreated easily, it doesn't have to be what I say you can imagine. Unfortunately ...

(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...

----------------------------------------------------------------------1, SQL database recovery model---------------------------- ------------------------------------------1) Full Recovery model-----------------(1) data to back up the database when backing up ...

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Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

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