How Min Length Checks Work

Definition

Asserts that the number of characters in every value of a text field is at least a configured length.

Overview

The Min Length rule measures the character count of a single text field and compares it against the configured Length. Each row passes when its value's length is at least that number, using >=. The comparison counts characters as stored, including spaces and punctuation.

Typical use cases:

• Guard identifiers and codes that always have a minimum size.
• Reject placeholder entries such as - or n/a in a field that must carry real content.
• Catch truncated values from an import or an integration.

Field Scope

Single: The rule evaluates exactly one field per check.

Accepted Types

General Properties

The filter allows you to define a subset of data upon which the rule will operate.

It requires a valid Spark SQL expression that determines the criteria rows in the DataFrame should meet. This means the expression specifies which rows the DataFrame should include based on those criteria. Since it's applied directly to the Spark DataFrame, traditional SQL constructs like WHERE clauses are not supported.

O_TOTALPRICE > 1000

C_MKTSEGMENT = 'BUILDING'

WHERE O_TOTALPRICE > 1000

WHERE C_MKTSEGMENT = 'BUILDING'

O_ORDERPRIORITY = '1-URGENT' AND O_ORDERSTATUS = 'O'

(L_SHIPDATE = '1998-09-02' OR L_RECEIPTDATE = '1998-09-01') AND L_RETURNFLAG = 'R'

WHERE O_ORDERPRIORITY = '1-URGENT' AND O_ORDERSTATUS = 'O'

O_TOTALPRICE > 1000, O_ORDERSTATUS = 'O'

RIGHT(
    O_ORDERPRIORITY,
    LENGTH(O_ORDERPRIORITY) - INSTR('-', O_ORDERPRIORITY)
) = 'URGENT'

LEVENSHTEIN(C_NAME, 'Supplier#000000001') < 7

RIGHT(
    O_ORDERPRIORITY,
    LENGTH(O_ORDERPRIORITY) - CHARINDEX('-', O_ORDERPRIORITY)
) = 'URGENT'

EDITDISTANCE(C_NAME, 'Supplier#000000001') < 7

O_ORDERSTATUS IN (
    SELECT DISTINCT O_ORDERSTATUS
    FROM {{_qualytics_self}}
    WHERE O_TOTALPRICE > 1000
)

O_ORDERSTATUS IN (
    SELECT DISTINCT O_ORDERSTATUS
    FROM ORDERS
    WHERE O_TOTALPRICE > 1000
)

Specific Properties

Min Length has two rule-specific properties:

Anomaly Types

Evaluation Flow

Every Min Length check follows the same four-step evaluation flow:

1. Apply the filter clause. If the check has a filter set, only rows matching the filter expression continue to the next step. Rows outside the filter are ignored and cannot contribute to the violation count.
2. Measure the value. The platform counts the characters in the row's value, exactly as stored.
3. Compare against the length. The row passes when the character count is at least Length (>=), and fails otherwise.
4. Apply coverage. At 100% coverage, any failing row causes the check to fail. Below 100% coverage, the check fails only when the passing fraction drops below the threshold (see Coverage and Tolerance).

What Counts as Length

The check counts characters exactly as stored: leading and trailing spaces, punctuation, and accented characters all count. A value that looks short on screen can still fail when it carries padding from a fixed-width source. Trim the value upstream (or with a Computed Field) when the padding is not meaningful.

NULL Handling

The check passes NULL values: a row with NULL in the evaluated field is not counted as a violation. Min Length only measures present values.

An empty string is a present value with length zero, so it is evaluated like any other. If the field must also be populated, pair the check with a Not Null check on the same field.

Array Fields

On an array field the two modes measure different things. With Array Element Context on, each element's own string length is measured and the row fails as soon as one element is shorter than Length; NULL elements are skipped, and an empty array passes because it has no element to fail. With it off, Length is compared against the number of elements (size(field) >= Length), so an empty array fails any Length of 1 or more. A NULL array passes in both modes.

Both array modes run as a field-level check, so they report a Shape Anomaly for the field instead of per-row Record Anomalies, whatever the coverage is set to.

The Filter Clause

The filter clause is a SQL WHERE expression applied before the evaluation. Filtered-out rows are ignored entirely (they cannot trigger a violation and are not counted in the totals).

When a filter is set, both the Record Anomaly and the Shape Anomaly messages end with [filter: <expression>] so the evaluated scope is visible in the alert.

Coverage and Tolerance

Coverage is a fractional value between 0 and 1 that defines the minimum fraction of evaluated rows that must pass:

• 1.0 (100%, default): every row in the filtered set must pass. Any failing row causes the check to fail. This is the strictest setting.
• < 1.0: the check tolerates a fraction of rows failing. The check fails only when the fraction of passing rows drops below the threshold.

Lower coverage values are useful when a small, known fraction of failures is expected. Use coverage carefully: a 0.5% tolerance can mask a real regression that happens to fall just under the threshold.

See Also