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Things You Must Avoid While Oracle or SQL Performance Tuning

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작성자 Danny
댓글 0건 조회 27회 작성일 24-06-17 00:15

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Until now, we have studied a lot about tips on oracle and SQL performance tuning. We know what we have to do exactly when a SQL statement fails to meet the performance standard: use indexes, generate an actual execution plan, find slow queries with SQL EM, monitor resource usage, and more. But there are a few things that we always miss out on and use or include things that aren't necessary. We should avoid using those things in the query to ensure the perfect tuning of SQL performance.

The first thing you need to make sure is to avoid coding loops for performance tuning in Oracle Server. Consider a condition in which you find that 1000 queries in sequence are directed to your database. For SQL Performance V Kapseln Preis tuning , you must avoid such loops in your code. Rather, you can modify the code by using a unique statement such as INSERT or UPDATE with a number of rows and values and WHERE clause.

One must note that if the stored value matches the existing value, the WHERE clause isn't going to update it. This method can dramatically accelerate the performance of Oracle server. Now that you know you have to avoid coding loops, the next thing you must avoid is the use of SELECT. Well, it's one of the most important tips for oracle or SQL performance tuning tips.

Instead of using SELECT, you can try to individually introduce the certain columns that you need. When you need fewer data to be retrieved, a query runs faster. For example, instead of using the code- SELECT * FROM Employees, you should try using SELECT First Name, City, Country FROM Employees. Believe me; this is surely gonna help you in a faster query run.



So, now what next? Is there any other oracle performance tuning tips that you need to follow? Is there anything you need to avoid? Well, Yes! You need to avoid correlated subqueries. A correlated subquery typically uses values from the parent query. As we know, it usually runs row by row. It runs once for each row returned by the outer query. As a result, the SQL query performance decreases. You don't need to go over the same row again and again which results in performance deterioration. Instead, you should try refactoring the correlated subquery as a join.

Now, the last tip I would like to suggest you is do not shrink data files. It is because shrinking data files often impact the SQL performance negatively. Not only it gets painful at times but it also creates a lot of fragmentation. The fragmentation caused results in the degraded performance of the subsequent queries. Although shrinking files at times maybe absolutely imperative, you must first analyze its influence before you try it.

I hope the next time you write queries; you will avoid the things described above in this piece of article. These tips will surely aid you in increasing SQL performance tuning. However, you must note that you estimate every situation individually to conclude which technique works the best for your database.








Tosska Technologies Limited offers smart database tuning tools that help clients to optimize the performance of their databases.

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