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String Min Length Check

Check: string-min-length-check

Purpose: Validates that non-null string values in a column meet a minimum length requirement. Use this to detect truncated, malformed, or unexpectedly short string data.

Note

Null values are treated as valid and are not evaluated by this check.

Use the inclusive parameter to control boundary behavior:

  • inclusive: true (default) — len(value) >= min_length
  • inclusive: false — len(value) > min_length
from sparkdq.checks import StringMinLengthCheckConfig
from sparkdq.core import Severity

StringMinLengthCheckConfig(
    check_id="zone-name-min-length",
    column="zone_name",
    min_length=3,
    inclusive=True,
    severity=Severity.CRITICAL
)

- check: string-min-length-check
  check-id: zone-name-min-length
  column: zone_name
  min-length: 3
  inclusive: true
  severity: critical

Typical Use Cases

  • Ensure that identifiers, codes, or names are not shorter than the minimum meaningful length.
  • Detect truncated values caused by data extraction or encoding issues.
  • Enforce minimum content requirements on free-text or structured string fields.

← Row-Level Checks