GreaterThanEqual / Operator Layer

Compare if values in a column are greater than or equal to a constant or another column's values. Similar to pandas df['A'] >= df['B'] or df['A'] >= 5, numpy.greater_equal(), or R's >= operator. Returns a boolean column.

Mathematical form: $y_{i} = {t r u e f a l se if x_{i} \geq v otherwise$

Common applications:

Minimum requirement checks (score >= passing)
Age verification (age >= legal_age)
Quality assurance (purity >= standard)
Inventory management (stock >= min_level)
Service level monitoring (uptime >= sla)
Risk thresholds (rating >= investment_grade)

Note: Includes equality in comparison, suitable for inclusive range checks.

Table

SelectLeft

column

The primary column for comparison. Forms the left side of the greater-than-or-equal check (e.g., test score, current level, measured value).

SelectRight

oneof

Integer

Value

i64

64-bit signed integer minimum threshold. Range: -2^63 to 2^63-1. Use cases:

Minimum requirements (credits >= 120)
Version compatibility (api_version >= 2)
Performance targets (speed >= 100)
Quota management (usage >= limit)

UnsignedInteger

Value

u64

64-bit unsigned integer minimum threshold. Range: 0 to 2^64-1. Examples:

Storage requirements (space >= needed)
Access levels (privileges >= required)
Batch sizes (quantity >= minimum_order)
Buffer capacities (available >= reserved)

Float

Value

f64

64-bit floating-point minimum threshold. Common scenarios:

Grade requirements (gpa >= 3.5)
Confidence levels (probability >= 0.95)
Financial metrics (roi >= 0.15)
Quality thresholds (similarity >= 0.8)

Column

Other

column

The comparison column for greater-than-or-equal check. Common pairs:

performance >= benchmark
current >= previous (maintenance/growth)
actual >= planned (target achievement)
supply >= demand (capacity check)

PropagateNull

bool

true

Controls null value handling:

true: propagates nulls (null >= value returns null)
false: treats nulls as false

Default is true for standard SQL-like null behavior

AsColumn

name

Name for the new column. If not provided, the system generates a unique name. If AsColumn matches an existing column, the existing column is replaced. The name should follow valid column naming conventions.