Cross-Database Queries in PHP: A Comprehensive Guide
This article addresses the issue of constructing cross-database queries in PHP, a problem that was previously explored in the context of MySQL. Despite successfully achieving cross-database queries in MySQL, the author stumbled upon failures when attempting to replicate the process in PHP.
Specifically, the author questions the limitations imposed by mysql_select_db on using only one database at a time, making cross-database queries impractical. Additionally, the alternative of specifying the database for every query is deemed tedious.
Cross-Database Queries in PHP
Overcoming the limitations of mysql_select_db, the author received a solution that enables direct cross-database joins:
$db = mysql_connect($host, $user, $password); mysql_select_db('my_most_used_db', $db); $q = mysql_query(" SELECT * FROM table_on_default_db a, `another_db`.`table_on_another_db` b WHERE a.id = b.fk_id ");
In this example, the database specified in mysql_select_db becomes the default database for the script. However, the query can specify tables from different databases by manually referencing them with the appropriate database name, as seen with another_db.table_on_another_db.
Alternative Approach for Different Hosts
If the databases reside on different hosts, direct joins become impossible. Instead, a two-query approach is recommended:
$db1 = mysql_connect($host1, $user1, $password1); $db2 = mysql_connect($host2, $user2, $password2); $q1 = mysql_query(" SELECT id FROM table WHERE [..your criteria for db1 here..] ", $db1); $tmp = array(); while($val = mysql_fetch_array($q1)) $tmp[] = $val['id']; $q2 = mysql_query(" SELECT * FROM table2 WHERE fk_id in (".implode(', ', $tmp).") ", $db2);
This method involves making two separate queries: one on each database. The first query retrieves the ids of records that meet the criteria in the first database. These ids are then used as a filter for the second query, which fetches the corresponding records from the second database.
The above is the detailed content of How to Perform Cross-Database Queries in PHP?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

TosecurelyconnecttoaremoteMySQLserver,useSSHtunneling,configureMySQLforremoteaccess,setfirewallrules,andconsiderSSLencryption.First,establishanSSHtunnelwithssh-L3307:localhost:3306user@remote-server-Nandconnectviamysql-h127.0.0.1-P3307.Second,editMyS

ForeignkeysinMySQLensuredataintegritybyenforcingrelationshipsbetweentables.Theypreventorphanedrecords,restrictinvaliddataentry,andcancascadechangesautomatically.BothtablesmustusetheInnoDBstorageengine,andforeignkeycolumnsmustmatchthedatatypeoftherefe

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.

Turn on MySQL slow query logs and analyze locationable performance issues. 1. Edit the configuration file or dynamically set slow_query_log and long_query_time; 2. The log contains key fields such as Query_time, Lock_time, Rows_examined to assist in judging efficiency bottlenecks; 3. Use mysqldumpslow or pt-query-digest tools to efficiently analyze logs; 4. Optimization suggestions include adding indexes, avoiding SELECT*, splitting complex queries, etc. For example, adding an index to user_id can significantly reduce the number of scanned rows and improve query efficiency.

When handling NULL values ??in MySQL, please note: 1. When designing the table, the key fields are set to NOTNULL, and optional fields are allowed NULL; 2. ISNULL or ISNOTNULL must be used with = or !=; 3. IFNULL or COALESCE functions can be used to replace the display default values; 4. Be cautious when using NULL values ??directly when inserting or updating, and pay attention to the data source and ORM framework processing methods. NULL represents an unknown value and does not equal any value, including itself. Therefore, be careful when querying, counting, and connecting tables to avoid missing data or logical errors. Rational use of functions and constraints can effectively reduce interference caused by NULL.

To reset the root password of MySQL, please follow the following steps: 1. Stop the MySQL server, use sudosystemctlstopmysql or sudosystemctlstopmysqld; 2. Start MySQL in --skip-grant-tables mode, execute sudomysqld-skip-grant-tables&; 3. Log in to MySQL and execute the corresponding SQL command to modify the password according to the version, such as FLUSHPRIVILEGES;ALTERUSER'root'@'localhost'IDENTIFIEDBY'your_new

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.
