Module datafusion::logical_expr::type_coercion::binary

Coercion rules for matching argument types for binary operators

Functions

• binary_numeric_coercion
  Coerce lhs_type and rhs_type to a common type where both are numeric
• comparison_coercion
  Coerce lhs_type and rhs_type to a common type for the purposes of a comparison operation
• decimal_coercion
  Decimal coercion rules.
• get_input_types
  Returns the coerced input types for a binary expression evaluating the op with the left and right hand types
• get_result_type
  returns the resulting type of a binary expression evaluating the op with the left and right hand types
• get_wider_type
  Returns the wider type among arguments lhs and rhs. The wider type is the type that can safely represent values from both types without information loss. Returns an Error if types are incompatible.
• like_coercion
  coercion rules for like operations. This is a union of string coercion rules and dictionary coercion rules
• regex_coercion
  Coercion rules for regular expression comparison operations. This is a union of string coercion rules and dictionary coercion rules
• type_union_resolution
  Coerce dissimilar data types to a single data type. UNION, INTERSECT, EXCEPT, CASE, ARRAY, VALUES, and the GREATEST and LEAST functions are examples that has the similar resolution rules. See https://www.postgresql.org/docs/current/typeconv-union-case.html for more information. The rules in the document provide a clue, but adhering strictly to them doesn’t precisely align with the behavior of Postgres. Therefore, we’ve made slight adjustments to the rules to better match the behavior of both Postgres and DuckDB. For example, we expect adjusted decimal precision and scale when coercing decimal types.
• values_coercion
  Coerce lhs_type and rhs_type to a common type for VALUES expression