Stored procedure insert not updating database

Though this article uses the Adventure Works database for its examples, I’ve decided to create an example table for use within the database to help better illustrate the examples. The SQL UPDATE statement is used to change column values.

Though an update statement can modify columns data from many sources, such as literal values or other query results, the basic format is the same.

When SET ANSI_PADDING OFF then CHAR data types are padded with spaces, VARCHAR data types have trailing spaces removed, and VARBINARY have trailing zeros removed.

For instance, if a field is defined as CHAR(10) and you update the value ‘Kris’ into this column, then it will be padded with six spaces.

You can run the following to do so and then verify all cities are NULL. Sure, you could run a query before the update, one after the update, and then compare, but rather than doing all of that we can use the OUTPUT clause to log the changes directly into a table.

Recall the INNER JOIN clause is used to match the rows from one table to another using a join condition. The complete script to run to log the output into a temporary table is: This statement defines a table with three columns and names the table variable @Update Log.

In a typical data warehousing application, quite often during the ETL cycle you need to perform INSERT, UPDATE and DELETE operations on a target table by matching the records from the source table.INSERT INTO ins_duplicate VALUES (2,'Lion',13) ON DUPLICATE KEY UPDATE animal='Lion'; Query OK, 2 rows affected, 1 warning (0.06 sec) SHOW WARNINGS; ------- ------ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | Level | Code | Message | ------- ------ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | Note | 1592 | Unsafe statement written to the binary log using statement format since BINLOG_FORMAT = STATEMENT. ON DUPLICATE KEY UPDATE on a table with more than one UNIQUE KEY is unsafe | ------- ------ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ SELECT * FROM ins_duplicate; ---- ---------- ------ | id | animal | id2 | ---- ---------- ------ | 1 | Antelope | 11 | | 2 | Lion | 12 | | 3 | Zebra | 13 | | 4 | Gorilla | 14 | ---- ---------- ------ Although the third row with an id of 3 has an id2 of 13, which also matched, it was not updated. If a new row is added, the auto_increment is moved forward. ALTER TABLE `ins_duplicate` CHANGE `id` `id` INT( 11 ) NOT NULL AUTO_INCREMENT; ALTER TABLE ins_duplicate DROP id2; SELECT Auto_increment FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME='ins_duplicate'; ---------------- | Auto_increment | ---------------- | 5 | ---------------- INSERT INTO ins_duplicate VALUES (2,'Leopard') ON DUPLICATE KEY UPDATE animal='Leopard'; Query OK, 2 rows affected (0.00 sec) SELECT Auto_increment FROM INFORMATION_SCHEMA.The general form to use is: contains the update values; we use joins to do the matching.Let suppose that someone has accidentally updated all esql Sales Person. How can we easily repopulate this data without having to retype it in?

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