SQL Optimizer for SAP ASE 3.9

The Find SQL function is available in the SQL Scanner window. This enables the location of SQL statements that contain a specified text string within a particular Job taking the View criteria into account.

To find SQL with specific text

Select SQL | Find SQL to open the Find SQL window.
Enter the text string to be found.
Click Find.

To continue searching for the same text

Select SQL | Find Next SQL [Ctrl + F3].

View Job Properties

SQL Scanner > View Job Properties

To view the Job properties in the SQL Scanner window

Right-click the Job and select Properties.

Review the following for additional information:

General tab

Item	Description
Name	Job name.
Type	Type of Job scanned (text/binary file, COBOL file, abstract plan group, Collectors from SQL Collector for Monitor Server, SQL Inspector file, database object).
Description	Job description.
Last modified	Last modified date and time.
Size	The amount of disk space required to store the job.
Data Directory	Directory where the SQL Scanner files are stored.
Status	Job status.
Version	Version number of SQL Optimizer when the Job was last scanned.

SQL Summary tab

Displays a pie chart showing the number and percentage of Problematic, Complex, Simple and invalid SQL statements.

Open Group Manager while SQL Scanner is Open

SQL Scanner > Open Group Manager while SQL Scanner is Open

To open the Group Manager

Click $image\B_GroupManager.gif$ .

Check Scanned SQL

SQL Scanner > Check Scanned SQL

View Checked Scanner SQL Window

After scanning is completed, you can review the scanned SQL statement in the SQL Scanner window. The SQL classification types (Problematic, Complex and Simple) highlight which SQL needs attention first. Is it recommended that you look at Problematic SQL, followed by Complex SQL. After you have reviewed a scanned SQL statement you can mark the SQL as checked. This indicates that the SQL statement had been reviewed and does not need any more attention.

To mark a SQL statement as checked

From the SQL Scanner window, right-click and select Checked List.

Marking a Scanned SQL Statement as Checked.

All the valid SQL statements are listed on the left pane (e.g.) SQL1, SQL2 … SQLn. Select the SQL you want to check. You can view the SQL text by selecting the SQL Preview tab. After you have ensured that the SQL statement is the one you want to check, select the Checked Details tab and click Check. All editable fields are changed to edit mode, which you can modify accordingly.

Checked Details

To mark a SQL statement as checked

Enter the following:

Item	Description
Checked on	Read-only field display the current date and time.
Checked by	Enter the user name that checked the SQL. By default, the PC user name is entered.
Status	Select the reason why you checked the SQL.
Details	Enter a short comment.

Click Apply. A blue checkmark $image\I_BlueCheckmark.gif$ displays next to the SQL name at the left pane to indicate that the SQL statement is checked.

Unmarking a Checked Scanned SQL Statement.

To unmark a checked Scanned SQL statement, select the SQL statement you want to unmark from the left pane of the Checked List window and click Uncheck. The $image\I_BlueCheckmark.gif$ blue checkmark is removed from the SQL name on the left pane.

Adding the Scanned SQL Statement to Checked List Automatically

You can automatically add a scanned SQL statement to the Checked List when you use the Send to SQL Optimizer function. In the Preferences window on the SQL Scanner tab under General button, select Always Add SQL.

Preserving Checked SQL when rescanning

You can specify to preserve the Checked SQL information when you rescan a Job by selecting the Do not remove Checked SQL information when rescanning option in the General SQL Scanner Preferences.

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