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Is unique key updatable?
A unique key is a set of one or more than one fields/columns of a table that uniquely identify a record in a database table. You can say that it is little like primary key but it can accept only one null value and it cannot have duplicate values.
What is Ignore_dup_key in SQL Server?
IGNORE_DUP_KEY = { ON | OFF } Specifies the response type when an insert operation attempts to insert duplicate key values into a unique index. The IGNORE_DUP_KEY option applies only to insert operations after the index is created or rebuilt. The option has no effect when executing CREATE INDEX, ALTER INDEX, or UPDATE.
Why are I getting a primary / unique key violation?
Updating a row that causes a duplicate. This one is also fairly common. In this you are updating a row that causes a duplicate to occur. With the same result. Cannot insert duplicate key row in object ‘Person.Address’ with unique index ‘IX_Address_AddressLine1_AddressLine2_City_StateProvinceID_PostalCode’.
Is there an option to ignore DUP key?
With this option, IGNORE_DUP_KEY, you will never get any PK violations, only a warning that duplicate was ignored. If the source contains duplicates, it is undefined which row you will insert. IGNORE_DUP_KEY is quite a funny option to put on a regular permanent table, but it can be useful for temporary tables or staging tables.
Is there way to ignore primary key violation when inserting to table?
I know the proper way is to remove the double record in table2, but the question: Is there a way to ask of ignoring the violation while running the insert and have table2 insert one or none of the double records. You can not “ignore” such Errors, but you can prevent them by validate which records already exists and insert only new ones.
Which is the primary key in both tables?
Imagine col1 is the primary key in both tables, then you can write your query like: Query below will compare two tables and will only insert records which are where not found (exact row match) in Table1. Note: EXCEPT Returns distinct rows by comparing the results of two queries.