AWS dms high security documentation change
Summary
Added warning about same database/schema source-target transformations causing potential data issues
Security assessment
Identifies a dangerous configuration pattern that could lead to data loss or corruption if misused
Diff
diff --git a/dms/latest/userguide/CHAP_Tasks.CustomizingTasks.TableMapping.SelectionTransformation.Transformations.md b/dms/latest/userguide/CHAP_Tasks.CustomizingTasks.TableMapping.SelectionTransformation.Transformations.md index 943efdd6a..b739aa942 100644 --- a//dms/latest/userguide/CHAP_Tasks.CustomizingTasks.TableMapping.SelectionTransformation.Transformations.md +++ b//dms/latest/userguide/CHAP_Tasks.CustomizingTasks.TableMapping.SelectionTransformation.Transformations.md @@ -13 +13 @@ You use the transformation actions to specify any transformations you want to ap - * You can't apply more than one transformation rule action against the same object (schema, table, column, table-tablespace, or index-tablespace). You can apply several transformation rule actions on any level as long as each transformation action is applied against a different object. However, this restriction is not applicable when using data masking transformation rules where you can have another transformation like `ADD-COLUMN` or `CHANGE-DATA-TYPE` for the same column. + * You cannot apply more than one transformation rule action against the same object (schema, table, column, table-tablespace, or index-tablespace). You can apply several transformation rule actions on any level as long as each transformation action is applied against a different object. However, this restriction is not applicable when using data masking transformation rules where you can have another transformation like `ADD-COLUMN` or `CHANGE-DATA-TYPE` for the same column. @@ -28,0 +29,2 @@ For example, a source table has a column named `ID` and the corresponding target + * AWS DMS does not support transformation rules where source and target objects (tables) are on the same database/schema. Using the same table as both source and target in a transformation rule can lead to unexpected and potentially harmful results, including but not limited to unintended alterations to the table data, modification of table structures or even tables getting dropped. +