Select Max Query

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MySQL () rand () random query logging efficiency issues and solutions

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 ...

mysql delete duplicate records sql statement and query duplicate records

Method 1 delete yourtable where [id] not in (select max ([id]) from yourtable group by (name + value) b on a.id = b.id where b.id ...

Mysql database query random number of the efficiency of the project and solutions

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 ...

The complete collection of SQL statement operations is worth permanent collections

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 ...

MySQL limit optimization method for large data paging

MySQL optimization is very important. The most common and most needed optimization is limit.   The limit of MySQL brings great convenience to paging, but when the amount of data is large, the performance of limit is reduced dramatically. The same is 10 data select * FROM Yanxue8_visit limit 10000,10 and select * from Yanxue8_visit limit 0,10 is not a quantitative level ...

SQL statements for querying and deleting duplicate records

SQL statement for querying and deleting duplicate records (i) For example, there is a field "name" in Table A, and the "name" value may be the same between different records, and now you need to query between the records in the table, the "name" value has duplicates, and select name, Count (*) from-a group by name has count (*) > 1 as ...

SQL filter, delete, duplicate record statement in table

This article describes the SQL name for filtering duplicate records using a having group by and various select in federated queries to implement a variety of different methods. -1, find redundant records in the table, duplicate records are based on a single field (Peopleid) to determine the code as follows select * from arranges where Peopleid in (select Peopleid from&n ...

Mysql limit the use of detailed explanation

Mysql limit usage: When we use the query, often to return to the first few or a few lines in the middle of the data, how to do this time? Do not worry, mysql has provided us with such a function. SELECT * FROM table LIMIT [offset,] rows | rows OFFSET & nbs ...

Large Data processing interview problem summary

1. Given a, b two files, each store 5 billion URLs, each URL accounted for 64 bytes, memory limit is 4G, let you find a, b file common URL? Scenario 1: The size of each file can be estimated to be 50gx64=320g, far larger than the memory limit of 4G. So it is not possible to fully load it into memory processing.   Consider adopting a divide-and-conquer approach. s traverses file A, asks for each URL, and then stores the URL to 1000 small files (recorded) based on the values obtained. This ...

Solutions with large data technology and Hadoop

Machine data may have many different formats and volumes. Weather sensors, health trackers, and even air-conditioning devices generate large amounts of data that require a large data solution. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; However, how do you determine what data is important and how much of that information is valid, Is it worth being included in the report or will it help detect alert conditions? This article will introduce you to a large number of machine datasets ...

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