LogicalOr / Operator Layer

Perform logical OR operation between boolean columns or with a constant boolean value. Similar to pandas df['A'] | df['B'], numpy.logical_or(), or R's | operator.

Truth table:

A	B	A OR B
true	true	true
true	false	true
false	true	true
false	false	false
null	true	true
null	false	null
null	null	null

Common applications:

Alternative conditions (cash_payment | card_payment)
Error detection (timeout | connection_error)
Access control (admin | moderator)
Status checks (shipped | delivered)
Alert triggers (high_temp | low_pressure)
Validation rules (required | has_default)

Note: Implements short-circuit evaluation where possible (true OR x = true).

Table

SelectLeft

column

The primary boolean column for OR operation. Must contain boolean values. Forms the first condition in logical combinations (e.g., main_condition, primary_check).

SelectRight

oneof

Constant

Value

bool

false

Boolean constant for OR operation. Use cases:

Force enabling (status | true)
Default inclusion (filtered | false)
Override flags (restricted | true)
Fallback states (custom_setting | false)

Column

Other

column

The second boolean column for OR operation. Common pairs:

primary_key_valid | backup_key_valid
local_cache_hit | remote_cache_hit
weekend | holiday
premium_user | beta_tester

Must contain boolean values

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.