Statement Merge

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2015-05-06
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Introduction to the MERGE Statement and SQL Server Data Modification. The MERGE statement is used to make changes in one table based on values matched from anther. It can be used to combine insert, update, and delete operations into one statement.
Introduction to the Oracle MERGE statement The Oracle MERGE statement selects data from one or more source tables and updates or inserts it into a target table. The MERGE statement allows you to specify a condition to determine whether to update data from or insert data into the target table.
In Oracle 10g Release 1, the MERGE statement syntax changed in two ways. The UPDATE or INSERT clauses became optional, so you could do either or both. Also, a DELETE capability was added to the UPDATE clause. You can now clean up obsolete records during the same run as valid records are updated.
DDL stands for Data Definition Language. Any statement that will cause a change in the data definitions is a DDL statment. The usual confusion is with the INSERT, UPDATE an DELETE (and as Jonathan mentions-MERGE) statements. ... Anything that is not DDL is DML which stands for Data Manipulation Language.
The MERGE statement basically merges data from a source result set to a target table based on a condition that you specify and if the data from the source already exists in the target or not. ... The MERGE statement basically works as separate INSERT, UPDATE, and DELETE statements all within the same statement.
Answer: The Merge Join transformation provides an output that is generated by joining two sorted data sets using a FULL, LEFT, or INNER join. The Merge Join transformation requires that both inputs be sorted and that the joined columns have matching meta-data. The user cannot October 18, 2015.
Both the MERGE and UPDATE statements are designed to modify data in one table based on data from another, but MERGE can do much more. Whereas UPDATE can only modify column values you can use the MERGE statement to synchronize all data changes such as removal and addition of row.
Using the hash function on the hash keys guarantees that any two joining records must be in the same pair of files. Therefore, the task of joining two large inputs has been reduced to multiple, but smaller, instances of the same tasks. The hash join is then applied to each pair of partitioned files.
(INNER) JOIN: Select records that have matching values in both tables. LEFT (OUTER) JOIN: Select records from the first (left-most) table with matching right table records. RIGHT (OUTER) JOIN: Select records from the second (right-most) table with matching left table records.
If you use the INSERT , UPDATE , and DELETE statement individually, you have to construct three separate statements to update the data to the target table with the matching rows from the source table. THEN DELETE; First, you specify the target table and the source table in the MERGE clause.
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