10 recommended articles about the mysql_unbuffered_query() function
Excuse me $lh = mysql_connect('localhost', 'root', 'root'); $qry = "SELECT * FROM aaa LIMIT 10"; $rh = mysql_unbuffered_query($qry, $lh); $thread = mysql_thread_id ( $lh ); while ( $res = mysql_fetch_row( $rh )&nb
1. Ask me about the problems encountered by mysql_unbuffered_query
Introduction: Ask about the problems encountered by mysql_unbuffered_query
##2. Does mssql in php have functions similar to the mysql_unbuffered_query function in mysql? How to solve it
Introduction: Does mssql in php have functions similar to the mysql_unbuffered_query function in mysql? Does mssql in php have functions similar to the mysql_unbuffered_query function in php? Is there such a function? What? ------Solution-------------------- mysql_unbuffered_query only takes one item at a time
3. Does mssql in php have functions similar to the mysql_unbuffered_query function of mysql? How to solve
#Introduction: Does mssql in php have functions similar to the mysql_unbuffered_query function of mysql? Does mssql in php have functions similar to the mysql_unbuffered_query function of mysql in php? Is there such a function? What is it? ------Solution--------------------mysql_unbuffered_query only takes one item at a time.
4. The difference between mysql_unbuffered_query and mysql_query
##Introduction: PHP mysql_data_seek() function definition and usage mysql_data_seek() function moves the pointer of the internal result. Syntax mysql_data_seek(data,row) Parameter Description data Required. Returns a result set of type resource. This result set is obtained from a call to mysql_query(). row required. The new result set pointer you want to set##5.
What is the purpose of using mysql_unbuffered_query during update/delete and other queries?Introduction: Mysql_unbuffered_query is used in many update/delete queries in the discuz source code. What is the purpose? According to the description in the manual (http://php.net/manual/en/function.mys...) , the main difference from mysql_query is that the query results will not be obtained and cached at once but will be updated/...
6.
mysql in PHPIntroduction: Everyone is familiar with mysql_query. Let’s briefly introduce mysql_unbuffered_query mysql_unbuffered_query (PHP 4 = 4.0.6, PHP 5) mysql_unbuffered_query -- Send a SQL query to MySQL without obtaining and caching it The row description of the result is resource mysql_unbuffered_query ( string quer
7.
Several ways for php to query the data set (mysqlIntroduction: Several ways for PHP to operate data sets 1. mysql_unbuffered_query() gives results while querying. It is not cached in the page and is suitable for big data processing. After the use is completed, the data set is automatically destroyed. Mysql_data_set($result) can no longer be used ,count) Reposition the enlightenment position of the cursor in the data set
8.
Solution to insufficient memory caused by php querying a large amount of mysql data_PHPIntroduction: This article mainly introduces the solution to insufficient memory caused by PHP querying a large amount of mysql data. The example analyzes the causes and corresponding solutions of insufficient memory during mysql query, and is more detailed. This article has analyzed the usage skills of mysql_unbuffered_query function. Friends who need it can refer to
9.
6 important practical skills in MySQL programming_MySQLIntroduction: This article summarizes 6 important practical skills in MySQL programming, including ending each line of commands with a semicolon (;); using associative arrays to access query results; TEXT, DATE, and SET data types; use mysql_unbuffered_query() to develop fast scripts; wildcards and NOT NULL
10. Solution to Insufficient Memory Caused by PHP Querying MySQL Large Data_php Tips
Introduction: This article mainly introduces PHP query The solution to insufficient memory caused by a large amount of data in mysql. The example analyzes the causes and corresponding solutions of insufficient memory during mysql query, and analyzes the usage skills of the mysql_unbuffered_query function in more detail. Friends in need can refer to the following
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How to use mysql_unbuffered_query() with kohana
The above is the detailed content of 10 recommended articles about the mysql_unbuffered_query() function. For more information, please follow other related articles on the PHP Chinese website!

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Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

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In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

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MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
