![]() In the above example, Employee is the source table of where the merge statement pulls the data and Employee1 is the target table where the merge statement inserts the data based on the ON clause condition that is the ID from both the tables. (SELECT * FROM Employee) LM ON (LM.Id=M.Id)Įxplanation: In the above output showing 11 rows merged. So in this example, we’ll insert the records which are not present in table Employee1. In the above tables Employee and Employee1 consisting of 14 and 3 records. Oracle MERGEStatement WHEN NOT MATCHED condition For that, we will use the below sample table (Employee&Employee1) with 14& 3records to understand the Oracle MERGE Statement behavior.ġ. In this section, we’ll see the implementation of Oracle MERGE Statement and its behavior. Basically Merge statement takes Data from SourceTable based on condition and performs DML operation on specified condition in ON clause. The MERGE statement is a key technique to perform DML operation (Insert/ Update/ Delete) in a single statement. And Not Matched is just opposite to Matched. Matched tells to start specified DML operation when SourceTable data or conditional data is matching with TargetTable. Matched / Not Matched: This is used to indicate when DML operation should take place. Insert operation performs on this condition. Split the parameters upon entry in crystal and add in data connections via sub report in details section to CUSTOMER_ORDER_IVC_REP to get the latest printout for each invoice and pull the desired information from CUSTOMER_ORDER_IVC_REP.InsertCondition: This is specifically used for the Insert operation.Highlight multiple invoices and pass the invoice no’s as parameters to the report. ![]()
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