String Length Between Check#
Check: string-length-between-check
Purpose: Validates that non-null string values in a column have a length within a specified range. This helps ensure that strings are neither too short nor too long, which is useful for validating user input, field formatting, or value truncation risks.
Note
Null values are ignored and treated as valid.
You can configure both ends of the range to be inclusive or exclusive:
inclusive: [true, false]
→ min_length <= len(value) < max_lengthinclusive: [false, true]
→ min_length < len(value) <= max_length
Python Configuration#
from sparkdq.checks import StringLengthBetweenCheckConfig
from sparkdq.core import Severity
StringLengthBetweenCheckConfig(
check_id="valid-zone-length",
column="Zone",
min_length=3,
max_length=20,
inclusive=(True, False),
severity=Severity.CRITICAL
)
Declarative Configuration#
- check: string-length-between-check
check-id: valid-zone-length
column: Zone
min-length: 3
max-length: 20
inclusive: [true, false]
severity: critical
Typical Use Cases#
✅ Ensure user-entered strings meet minimum and maximum length requirements.
✅ Detect truncated, malformed, or overly verbose values in system integrations.
✅ Enforce business rules that require string values to fall within a specific range.