Identifying Unlisted Callers in MySQL
This article demonstrates several MySQL techniques for identifying phone calls from numbers not listed in a phone book database. We'll analyze the problem using sample data and provide efficient solutions.
Scenario:
We have two tables: Phone_book
and Call
.
Phone_book
Table:
<code>Phone_book +----+------+--------------+ | id | name | phone_number | +----+------+--------------+ | 1 | John | 111111111111 | +----+------+--------------+ | 2 | Jane | 222222222222 | +----+------+--------------+</code>
Call
Table:
<code>Call +----+------+--------------+ | id | date | phone_number | +----+------+--------------+ | 1 | 0945 | 111111111111 | +----+------+--------------+ | 2 | 0950 | 222222222222 | +----+------+--------------+ | 3 | 1045 | 333333333333 | +----+------+--------------+</code>
Goal: Find calls from phone numbers not in the Phone_book
table.
Solution Approaches:
Here are three effective methods to achieve this:
1. NOT IN
Clause:
This approach directly excludes phone numbers from the Call
table that are present in the Phone_book
table. It's efficient for smaller Phone_book
tables.
SELECT * FROM Call WHERE phone_number NOT IN (SELECT phone_number FROM Phone_book);
2. NOT EXISTS
Subquery:
This uses a subquery to check for the existence of a phone number in Phone_book
. It's generally more efficient than NOT IN
for larger Phone_book
tables.
SELECT * FROM Call WHERE NOT EXISTS ( SELECT * FROM Phone_book WHERE Phone_book.phone_number = Call.phone_number );
3. LEFT OUTER JOIN
:
This method employs a LEFT OUTER JOIN
to compare phone numbers. The query returns all calls, but only those with NULL
values in the Phone_book
columns represent unlisted numbers.
SELECT * FROM Call LEFT OUTER JOIN Phone_book ON (Call.phone_number = Phone_book.phone_number) WHERE Phone_book.phone_number IS NULL;
Choosing the Best Solution:
The optimal approach depends on your database's size and structure. For large datasets, the NOT EXISTS
subquery or LEFT OUTER JOIN
are usually preferred for better performance. For smaller datasets, the NOT IN
clause might be sufficient. Consider using EXPLAIN
to analyze query execution plans and choose the most efficient method.
The above is the detailed content of How to Find Calls from Numbers Not Listed in a Phone Book Database?. For more information, please follow other related articles on the PHP Chinese website!

MySQLviewshavelimitations:1)Theydon'tsupportallSQLoperations,restrictingdatamanipulationthroughviewswithjoinsorsubqueries.2)Theycanimpactperformance,especiallywithcomplexqueriesorlargedatasets.3)Viewsdon'tstoredata,potentiallyleadingtooutdatedinforma

ProperusermanagementinMySQLiscrucialforenhancingsecurityandensuringefficientdatabaseoperation.1)UseCREATEUSERtoaddusers,specifyingconnectionsourcewith@'localhost'or@'%'.2)GrantspecificprivilegeswithGRANT,usingleastprivilegeprincipletominimizerisks.3)

MySQLdoesn'timposeahardlimitontriggers,butpracticalfactorsdeterminetheireffectiveuse:1)Serverconfigurationimpactstriggermanagement;2)Complextriggersincreasesystemload;3)Largertablesslowtriggerperformance;4)Highconcurrencycancausetriggercontention;5)M

Yes,it'ssafetostoreBLOBdatainMySQL,butconsiderthesefactors:1)StorageSpace:BLOBscanconsumesignificantspace,potentiallyincreasingcostsandslowingperformance.2)Performance:LargerrowsizesduetoBLOBsmayslowdownqueries.3)BackupandRecovery:Theseprocessescanbe

Adding MySQL users through the PHP web interface can use MySQLi extensions. The steps are as follows: 1. Connect to the MySQL database and use the MySQLi extension. 2. Create a user, use the CREATEUSER statement, and use the PASSWORD() function to encrypt the password. 3. Prevent SQL injection and use the mysqli_real_escape_string() function to process user input. 4. Assign permissions to new users and use the GRANT statement.

MySQL'sBLOBissuitableforstoringbinarydatawithinarelationaldatabase,whileNoSQLoptionslikeMongoDB,Redis,andCassandraofferflexible,scalablesolutionsforunstructureddata.BLOBissimplerbutcanslowdownperformancewithlargedata;NoSQLprovidesbetterscalabilityand

ToaddauserinMySQL,use:CREATEUSER'username'@'host'IDENTIFIEDBY'password';Here'showtodoitsecurely:1)Choosethehostcarefullytocontrolaccess.2)SetresourcelimitswithoptionslikeMAX_QUERIES_PER_HOUR.3)Usestrong,uniquepasswords.4)EnforceSSL/TLSconnectionswith

ToavoidcommonmistakeswithstringdatatypesinMySQL,understandstringtypenuances,choosetherighttype,andmanageencodingandcollationsettingseffectively.1)UseCHARforfixed-lengthstrings,VARCHARforvariable-length,andTEXT/BLOBforlargerdata.2)Setcorrectcharacters


Hot AI Tools

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

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

Undress AI Tool
Undress images for free

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

Dreamweaver Mac version
Visual web development tools

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

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
