Identifying Unknown Callers: SQL Techniques for Unregistered Numbers
This article demonstrates how to identify phone calls from numbers not listed in a phone book database using SQL queries. We'll explore several efficient methods to achieve this.
Scenario:
Consider these tables:
Table: Phone_book
id | name | phone_number |
---|---|---|
1 | John | 111111111111 |
2 | Jane | 222222222222 |
Table: Call
id | date | phone_number |
---|---|---|
1 | 0945 | 111111111111 |
2 | 0950 | 222222222222 |
3 | 1045 | 333333333333 |
The objective is to find calls from numbers not in the Phone_book
.
SQL Query Solutions:
Three methods are presented below:
Method 1: NOT IN
Subquery
This approach uses a NOT IN
subquery to efficiently filter out calls with numbers present in the Phone_book
:
<code class="language-sql">SELECT * FROM Call WHERE phone_number NOT IN (SELECT phone_number FROM Phone_book);</code>
Method 2: NOT EXISTS
Subquery
This alternative uses NOT EXISTS
to achieve the same result. It's often considered more efficient for large datasets:
<code class="language-sql">SELECT * FROM Call WHERE NOT EXISTS ( SELECT * FROM Phone_book WHERE Phone_book.phone_number = Call.phone_number );</code>
Method 3: LEFT OUTER JOIN
with NULL
Check
This method employs a LEFT OUTER JOIN
and filters for NULL
values in the Phone_book
column to identify calls without matching entries:
<code class="language-sql">SELECT * FROM Call LEFT OUTER JOIN Phone_book ON (Call.phone_number = Phone_book.phone_number) WHERE Phone_book.phone_number IS NULL;</code>
Expected Result:
All three queries will produce the same output:
Table: Call
id | date | phone_number |
---|---|---|
3 | 1045 | 333333333333 |
This correctly identifies the call from the unregistered number. Choose the method that best suits your database system and data size.
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