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phone number storage

2 views collected around this technical thread.

Architect
Architect
May 17, 2025 · Databases

Storing 2 Billion Phone Numbers: Why VARCHAR(20) Is Preferable to INT/BIGINT

The article explains why using a VARCHAR(20) column to store billions of phone numbers is safer and more flexible than INT or BIGINT, covering range limits, data integrity, query convenience, interview expectations, and common pitfalls such as insufficient field length, charset issues, missing indexes, and lack of encryption.

BIGINTData IntegrityDatabase Design
0 likes · 10 min read
Storing 2 Billion Phone Numbers: Why VARCHAR(20) Is Preferable to INT/BIGINT
macrozheng
macrozheng
May 8, 2025 · Databases

Why Storing 2 Billion Phone Numbers Requires VARCHAR(20) Over INT: Interview Insights

The article examines an interview question about storing 2 billion phone numbers, explains why int cannot hold 11‑digit numbers, advocates using VARCHAR(20) for flexibility and data integrity, and outlines common pitfalls and best practices for database design.

BIGINTDatabase DesignMySQL
0 likes · 8 min read
Why Storing 2 Billion Phone Numbers Requires VARCHAR(20) Over INT: Interview Insights
Java Tech Enthusiast
Java Tech Enthusiast
Apr 30, 2025 · Databases

Storing 2 Billion Phone Numbers: Int vs String, Schema Design and Pitfalls

When designing a schema for two‑billion phone numbers, use a VARCHAR(20) column with utf8mb4 Unicode, a unique index, and proper validation/encryption rather than a 32‑bit INT, because strings preserve leading zeros, international prefixes, extensions, and support business extensibility, fault tolerance, and future changes.

BIGINTDatabase DesignInterview
1 likes · 7 min read
Storing 2 Billion Phone Numbers: Int vs String, Schema Design and Pitfalls
IT Services Circle
IT Services Circle
Apr 28, 2025 · Databases

Choosing the Right Data Type for Storing Billions of Phone Numbers: INT vs VARCHAR

This article examines why storing 2 billion phone numbers using INT or BIGINT is problematic and argues for using VARCHAR(20) to preserve data integrity, support international formats, simplify queries, and avoid common pitfalls in database design and development.

Data IntegritySQLVARCHAR vs BIGINT
0 likes · 8 min read
Choosing the Right Data Type for Storing Billions of Phone Numbers: INT vs VARCHAR