In our development of the efficiency has been a problem, especially for a lot of large data operations, today we ran into a random query data, at first we may think of the simplest order by RAND () to operate but the efficiency is not flattering ah. Recently, because of the need to study the MySQL random extraction implementation method. For example, to randomly extract a record from the TableName table, the general wording is: SELECT * from TableName ORDER by RAND () LIM ...
Recently due to the need to study about MYSQL based random extraction method. For example, to randomly extract a record from the table table, we generally write: SELECT * FROM tablename ORDER BY RAND () LIMIT 1. However, I checked the official MYSQL manual, which prompts for RAND () probably means that the ORDER BY clause can not be used inside the RAND () function, because this will lead to multiple data columns were swept ...
First, the importance of the index The index is used to quickly find a column in a particular value of the line. Instead of using an index, MySQL must start with the first record and then read the entire table until it finds the relevant row. The larger the table, the more time it takes. If the table in the query column index, MySQL can quickly reach a location to search the middle of the data file, there is no need to see all the data. Note that if you need to access most of the rows, sequential reads are much faster since we avoid disk searches. If you use Xinhua Dictionary to find "Zhang" the Chinese characters, do not use the directory, then ...
MySQL database has 10 tens of thousands of data, using rand () to extract a random 10 records, resulting in high server CPU consumption until the crash ~ Baidu has consulted some information, and then combined with some of their own experience, the following solutions: $idlist = '; For ($i =1 $i <=20; $i + +) {if ($i ==1) {$idlist =mt_rand (3,25216);} else{$idlist = $idlist.
Today found that the deder MYSQL time field, are used `senddata` int (10) unsigned NOT NULL DEFAULT '0'; Then find this article online, it seems that if the time field is involved in the operation, int better, a To retrieve the field without conversion operations, directly for time comparison! Second, the efficiency is higher as described below. In the final analysis: int instead of the data type, more efficient. Environment: Windows XP PHP Versio ...
Several years of work down, also used several kinds of database, accurate point is "database management system", relational database, there are nosql. Relational database: 1.MySQL: Open source, high performance, low cost, high reliability (these features tend to make him the preferred database for many companies and projects), for a large scale Web application, we are familiar with such as Wikipedia, Google, and Facebook are the use of MySQL. But the current Oracle takeover of MySQL may give us the prospect of using MySQL for free ...
The complete collection of SQL statement operations deserves to be permanently stored the following statements are part of the MSSQL statement and are not available in Access. SQL classification: ddl-data Definition language (create,alter,drop,declare) dml-Data Manipulation Language (Select,delete,update,insert) dcl-Data Control Language (Grant,revoke, Commit,rollback first, briefly introduce the basic statement: 1, Description: Create number ...
Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up and ...
Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up ...
"Guide" Xu Hanbin has been in Alibaba and Tencent engaged in more than 4 years of technical research and development work, responsible for the daily request over billion web system upgrades and refactoring, at present in Xiaoman technology entrepreneurship, engaged in SaaS service technology construction. The electric dealer's second kill and buys, to us, is not a strange thing. However, from a technical standpoint, this is a great test for the web system. When a web system receives tens or even more requests in a second, system optimization and stability are critical. This time we will focus on the second kill and snapping of the technology implementation and ...
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