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Most relational database vendors have features to capture the SQL queries executed in the Server, but reading the logs is quite difficult as there is no GUI available. Aqua Data Studio 11.0 introduces a visual log GUI named SQL Log, to capture all SQL queries executed by Aqua Data Studio. Having the SQL Log opened while using the application, you can view the log data in the GUI or view it as an Excel spreadsheet. You can also save the log as a text file and open it with ADS text editor. SQL Log is a powerful tool that provides a syntax highlighter as well as support for Exceptions in queries. The SQL Log helps to isolate performance problems with applications - from the logs, you can find the queries or stored procedures that are having the most impact. After that, it is down to examining the execution plans and query statistics to identify queries that need tuning and indexes that need creating. With SQL Log, you can see all the queries Aqua Data Studio is really submitting to your Production Environment, while it is extracting the required information from the system catalogs.
The SQL Log provides a way to monitor the execution of SQL statements within ADStudio. It offers one click easy access to detailed information about the executed SQL statements.
Aqua Data Studio 11.0 features a new Option to view the SQL log files under Help --> SQL Log
You can start the event capture by clicking on the start icon.
At any point during the execution of queries in the Query Analyzer, you can stop the SQL Log capture.
Displays the status of the current SQL statements being executed.
Option to view the time of execution and the duration of the SQL statements.
Displays the Database Server Connections and the corresponding SQL statements executed.
Displays the username with the corresponding SQL statements executed.
Option to view the SQL statements executed.
Option to view the SQL exceptions.
Option to view log as spreadsheet.
Option to save the log as text files.
Clears the display of executed statements and exceptions.
Filter helps you to search and find the executed SQL queries very easily.
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