Choose your database:
AnySQL
MySQL
MS SQL Server
PostgreSQL
SQLite
Firebird
Oracle
SQL Anywhere
DB2
MaxDB

Subscribe to our news:
Partners
Testimonials
Qian Dong: "Although I evaluated Oracle Maestro for only a couple of days, I must say I like what I saw in this product. I am going to place an order for this product.

Thank you for the good work".
Laurits Sogaard Nielsen: "Oracle Maestro (and also MS SQL Maestro) are the perfect substitutes for TOAD and in some ways also much better products (they are much cheaper, and the support is fast and easy). I'm looking forward to getting much more experience with both products, that already now have proven themselves to be fantastic".

More

Add your opinion

Oracle Maestro online help

Prev Return to chapter overview Next

Executing query

SQL Editor provides you with several variants of the query executing.

 

To execute all statements of the text area with result data, click the Execute query item of the Navigation bar or use F5, F8, or F9 shortcuts. Statements of each tab of SQL Editor are executed together in a separate thread in order to continue your work with the software while the query is executing.

 

You can also execute query as script (Shift+F5, Shift+F8, Shift+F9). In this case the query does not return data.

 

To execute only a selected part of the query text, use Execute selected only or the Alt+F5, Alt+F8, Alt+F9 shortcuts.

 

There is also a possibility to execute a statement at the cursor position. For this purpose, use the Execute at cursor link at the Navigation bar or use the Ctrl+F5, Ctrl+F8, or Ctrl+F9 shortcuts.

 

If the query text is correct, the query is executed, and if the query statement is supposed to return data (e.g. SELECT statement), the Result tab opens with the data returned by the query. If an error occurs while executing the query, execution stop is stopped and the appropriate error message is displayed in the Information tab.

 

The Result area displays the result data in grid. All principles of working with data you can find in Data Management section.
 



Prev Return to chapter overview Next