Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/10845#discussion_r50292340 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala --- @@ -696,6 +697,43 @@ object HiveTypeCoercion { } /** + * Strength reduction for comparisons between an integral column and a decimal literal: + * + * 1. int_col > decimal_literal => int_col > floor(decimal_literal) + * 2. int_col >= decimal_literal => int_col >= ceil(decimal_literal) + * 3. int_col < decimal_literal => int_col < ceil(decimal_literal) + * 4. int_col <= decimal_literal => int_col <= floor(decimal_literal) + * 5. decimal_literal > int_col => ceil(decimal_literal) > int_col + * 6. decimal_literal >= int_col => floor(decimal_literal) >= int_col + * 7. decimal_literal < int_col => floor(decimal_literal) < int_col + * 8. decimal_literal <= int_col => ceil(decimal_literal) <= int_col + * + */ + object SimplifyIntegerDecimalComparing extends Rule[LogicalPlan] { --- End diff -- In this case I'd consider just putting this in decimal precision - so we don't have the ordering problem.
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