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Strict E.164 International Phone Number Format

formathigh

Validates that phone numbers strictly conform to the ITU-T E.164 international format: a plus sign followed by 1 to 15 digits, where the first digit after the plus cannot be zero. This is the canonical format used in telecom systems for international call routing, SMS delivery, and subscriber records.

v1.0.0by dqhub286 downloads4 (27)
e164phoneinternational
Try This Rule

Parameters

column_namestringrequired

The column containing email addresses

thresholdfloatdefault: 0.99

Minimum fraction of valid emails (0.0 to 1.0)

Compliance Mapping

ITU-TITU-T E.164 (The International Public Telecommunication Numbering Plan)

Install

soda
checks for {{table_name}}:
  - invalid_percent({{column_name}}) < {{(1 - threshold) * 100}}:
      valid regex: '^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
dbt
{% test valid_email(model, column_name) %}
select {{ column_name }}
from {{ model }}
where {{ column_name }} not regexp '^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$'
{% endtest %}
sql
SELECT COUNT(*) as total,
  SUM(CASE WHEN {{column_name}} REGEXP
    '^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$'
    THEN 1 ELSE 0 END) as valid
FROM {{table_name}}
Great Expectations
{
  "expectation_type": "expect_column_values_to_match_regex",
  "kwargs": {
    "column": "{{column_name}}",
    "regex": "^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$",
    "mostly": {{threshold}}
  }
}
spark
from pyspark.sql.functions import col
pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
invalid = df.filter(~col("{{column_name}}").rlike(pattern)).count()

Test Data

Passing Examples

idvalue
1alice@example.com
2bob.smith@company.co.uk
3charlie+tag@domain.org

Failing Examples

idvalue
1not-an-email
2@missing-local.com
3spaces in@email.com

CLI

Terminal
npx dqhub install e164-phone-strict --format soda --table YOUR_TABLE
npx dqhub install e164-phone-strict --format dbt --model YOUR_MODEL
npx dqhub install e164-phone-strict --format sql --dialect snowflake