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Traditionally, users have corrected this problem by manually adding hints to the application code to guide the optimizer into making correct decisions. For packaged applications, changing application code is not an option and the only alternative available is to log a bug with the application vendor and wait for a fix. The query optimizer under normal mode makes estimates about cardinality, selectivity, and cost that can sometimes be off by a significant amount resulting in poor execution plans.
SQL Profile addresses this problem by collecting additional information using sampling and partial execution techniques to verify and, if necessary, adjust these estimates. The output of this type of analysis is a recommendation to accept the SQL Profile. A SQL Profile, once accepted, is stored persistently in the data dictionary. Note that the SQL Profile is specific to a particular query. If accepted, the optimizer under normal mode uses the information in the SQL Profile in conjunction with regular database statistics when generating an execution plan.
The availability of the additional information makes it possible to produce well-tuned plans for corresponding SQL statement without requiring any change to the application code. This attribute determines which user sessions can apply the profile. By altering the category of a SQL profile, you can determine which sessions are affected by the creation of a profile. This technique enables you to test a SQL Profile in a restricted environment before making it available to other user sessions.
As tables grow or indexes are created or dropped, the execution plan can change with the same SQL Profile. The information stored in it continues to be relevant even as the data distribution or access path of the corresponding statement change. However, over a long period of time, its content can become outdated and would have to be regenerated.
A complete set of functions are provided for management of SQL Profiles. See "SQL Profiles". Indexes can tremendously enhance performance of a SQL statement by reducing the need for full table scans on large tables. Effective indexing is a common tuning technique. The Automatic Tuning Optimizer also explores whether a new index can significantly enhance the performance of a query.
If such an index is identified, it recommends its creation. The Automatic Tuning Optimizer identifies common problems with structure of SQL statements than can lead to poor performance. These could be syntactic, semantic, or design problems with the statement. The alternative suggested is similar, but not equivalent, to the original statement. An application developer can then determine if the advice is applicable to their situation or not.
These changes require a good understanding of the data properties and should be implemented only after careful consideration. The output of the SQL Tuning Advisor is in the form of an advice or recommendations, along with a rationale for each recommendation and its expected benefit.
The recommendation relates to collection of statistics on objects, creation of new indexes, restructuring of the SQL statement, or creation of SQL Profile. A user can choose to accept the recommendation to complete the tuning of the SQL statements.
These input sources include:. See "Automatic Database Diagnostic Monitor". By default, the AWR retains data for the last seven days. The user can go to the Top SQL view and view execution plan diagrams to discover poorly optimized queries affecting the database.
The deadlocks tab displays an overview of database deadlocks and deadlock diagrams show the processes and resources contributing to the block.
You can view the statements that were executed when the deadlock was detected so you can take action to resolve the issue.
To aid the remediation of poorly performing queries, SentryOne SQL Sentry offers a mixture of alerts and automated responses. You can create custom notifications to let you know when SQL queries are running slowly. You can also configure the platform to automatically respond to the problem by executing a command.
The sensor displays the execution time of the request , execution time of the query , the number of rows addressed by the query , and more.
The sensor allows you to measure the basic performance of queries. There are other similar sensors available for other databases. The software is available as a web , desktop or mobile app for iOS and Android.
The mobile app is worth having because you can configure push notifications to tell you when performance conditions change. Alerts that are threshold-based can also be sent by email , SMS , Slack message , and more. PRTG Network Monitor is a good fit for enterprises searching to monitor databases and general network devices through one unified solution.
The freeware version supports up to devices. You can download a day free trial. View details on query performance by going to the Top 10 Queries view. There are over 55 customizable alerts included with the Redgate SQL monitor that respond to certain events. For example, you will receive an alert if there is a long-running query. The alerts are color-coded so you know which ones to respond to first. For more long-term performance optimization you can use the reporting feature.
Create custom reports to share database performance data with your team. For example, you can display a list of longest-running queries to show who the worst offenders are.
You can download the day free trial from this link here. Viewing your SQL code as diagrams makes it easier to see the effect queries have on your database.
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