The poorly designed database is quite dangerous! It impacts the speed, slows down queries, and affects the user’s productivity. If the issue of database performance is not identified, quality of service is sure to be compromised.
The only way to ensure that the database functions speedily without any hurdles is performing: Oracle Performing Tuning.
Implementing performance tuning on your database is one of the most common and yet the most important activity that every database administrator (DBA) must perform.
Let’s have a glance at Oracle Performance Tuning.
In a simple manner, Performance Tuning in Oracle or Oracle Performance Tuning is a practice to improve SQL queries in a way it runs as fast as possible and streamlines the database performance.
No matter how complex SQL statements are, Oracle performance Tuning simplifies the process and improves the response times. The goal is to meet specific, measurable, and achievable goals.
Performance Tuning in Oracle is done by finding significant bottlenecks and addressing them with suitable changes to reduce performance degradation.
However, several issues can affect server performance. Let’s see some of them.
Monitoring SQL Server performance is a complex task, as performance depends on many hardware and software parameters.
Some of the common performance degradation issues include:
Inline to optimize the oracle database, the right operations are necessary to improve end-user’s productivity.
Let’s understand that in a simple way.
Basic operations to be performed are:
While performing DML if a table is to be loaded with huge data, you can get good performance with BULK operation.
For Instance: BULK insert – Use optimizer hint ‘APPEND’ and ‘NO LOGGING’, if redo buffer information is not required. This makes the insert operation faster.
But the major performance hazard is a BAD SELECT Query.
Most of the time DBA’s create an index to speed up the execution, but they have limitations to create an index for all sorts of scenarios. If the number of indexes are more than it will impact performance during DML operations.
In such a scenario, there is a need to find a way to write a query in a format that helps speed up the execution and provide a fast response.
Application performance can be defined in terms of throughput/efficiency. To get high throughput and avoid poor performance DBA’s must write the code in a way to:
To avoid CPU Overhead it is necessary to have efficient SQL statements:
DECLARE
var1 INTEGER := 0;
var2 INTEGER := 100;
BEGIN
IF (var1 = 0) OR ((var2 / var1) < 5) THEN
DBMS_OUTPUT.PUT_LINE(' Var1 value is 0');
END IF;
END;
FOR i IN (SELECT DISTINCT(UPPER(cust_name)) name FROM customer)
LOOP
DBMS_OUTPUT.PUT_LINE(i.name);
END LOOP;
// Better performance
FOR i IN ( SELECT UPPER(cust_name) name FROM ( SELECT DISTINCT cust_name FROM
customer)) LOOP
DBMS_OUTPUT.PUT_LINE(i.name);
END LOOP;
SELECT SUM(total_amt),order_id,route_id
FROM orders
WHERE country_code = '302'
GROUP BY order_id,route_id
HAVING SUM(total_amt) < (SELECT MIN(amount)
FROM inv_order
WHERE country_code = '302'
AND inv_order_id = order_id
AND inv_route_id = route_id
GROUP BY inv_order_id,inv_route_id );
Better to have it like,
SELECT sum_amt,order_id,route_id
FROM (SELECT SUM(total_amt) sum_amt,order_id,route_id
FROM orders
WHERE country_code = '302'
GROUP BY order_id,route_id) x
,(SELECT MIN(amount) min_amt ,inv_order_id ,inv_route_id
FROM inv_order
WHERE country_code = '302'
GROUP BY inv_order_id,inv_route_id ) y
WHERE inv_order_id = order_id
AND inv_route_id = route_id
AND sum_amt < min_amt;
WITH order_data
AS
( SELECT /*+ MATERIALIZE */ order_id
FROM orders
WHERE country_code = '302')
SELECT inv_route_id,amount
FROM inv_order,order_data
WHERE inv_order_id = order_id;
We can actually conserve memory by declaring VARCHAR2 variables with large sizes. PLSQL allocates as much storage as needed after the value being assigned.
This is always beneficial to call a packaged subprogram instead of standalone.
Frequently accessed packages can be pinned in the shared memory pool, using the DBMS_SHARED_POOL package. This lets the package remain in memory no matter how full.
Implementing the above-mentioned operation, analyzing the database server’s performance, and monitoring their uptime helps the database server to run smoothly and efficiently.
Done using appropriate tools can improve the end user’s experience.
However, the list is infinite!
Organizations that use these tools can avoid performance degradation and minimize the amount of time required to resolve issues.
To optimize the performance problem, you need to find queries that impact the most. The goal is to address the issues by understanding the oracle database stack.
Does your database have performance issues? Do you want to know more about it?
Connect with our experts to know how we follow the process of Performance Tuning in Oracle
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