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The commands to modify data in SQL mainly include the following categories: UPDATE command: update the specified field value in the row that meets the conditions. DELETE command: delete rows that meet the conditions. INSERT command: Inserts new rows into the table. MERGE command: Merge data into a table, supports updates and inserts. TRUNCATE command: Efficiently delete all rows in the table.

What are the commands to modify data in sql

Commands to modify data in SQL

The commands used to modify data in SQL mainly include the following categories:

1. Update command

  • UPDATE table name SET field name = new value WHERE condition;

This command is used to update the value of the specified field in the rows in the table that meet the specified conditions.

2. Delete command

  • DELETE FROM table name WHERE condition;

This command uses Delete rows in the table that meet specified conditions.

3. Insert command

  • INSERT INTO table name (field name 1, field name 2, ...) VALUES (value 1, Value 2, ...);

This command is used to insert a new row into the table and specify a value for the specified field.

4. Merge command

  • MERGE INTO table name USING data source ON (connection condition) WHEN MATCHED THEN UPDATE SET ... WHEN NOT MATCHED THEN INSERT ...;

This command is used to merge data from a data source into a table. It supports both update and insert operations.

5. Truncate command

  • TRUNCATE TABLE table name;

This command is used to delete All rows in the table, more efficient than the DELETE command.

Example:

Update the rows in the table that meet the conditions:

<code>UPDATE customers SET city = 'New York' WHERE state = 'NY';</code>

Delete the rows in the table that meet the conditions Rows:

<code>DELETE FROM orders WHERE order_date </code>

Insert new rows into the table:

<code>INSERT INTO products (product_name, price) VALUES ('Apple', 10.00);</code>

Use the merge command to merge data:

<code>MERGE INTO customers
USING new_customers
ON (customer_id)
WHEN MATCHED THEN UPDATE SET first_name = new_customers.first_name
WHEN NOT MATCHED THEN INSERT (customer_id, first_name, last_name)
VALUES (new_customers.customer_id, new_customers.first_name, new_customers.last_name);</code>

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