A lot of clients encounter performance issues while using data warehouse programs. In this post, we will discuss some important methods that will help users improve results in Oracle database performance tuning by examining and enhancing the performance of Oracle Analytics reports.
The Best
Ways to Ensure Optimal Oracle Database Performance
Take a look at the tips and tricks for better Oracle report
analysis explained below:
- Query Log Assessment: This involves the
following steps-
● Check the
time you spend in your Oracle database and SQL and compare it to the amount of time a statement takes in Oracle
Analytics. In other words, you’re comparing the statement duration and response
time. Typically, the former takes no more than a few seconds.
● Examine the individual steps in Oracle Analytics in case the response time takes more than a few seconds. You will need log level five for this.
- Go through the physical Structured Query
Language
● Take a look
at all the tables being involved in the statement. Is every single one of them
important for the query? You will also have to check whether there are any
tables that are joined but don’t have filters other than the join condition,
nor are they a part of the SELECT clause.
● Find out the
number of physical statements and sub-statements that are being generated in
the Oracle database. To put it
simply, you need to identify the number of times the statement reads a fact
table. Under ideal conditions, the statement reads only one fact table and it
does so only once, so it is important to know when there are multiple reads and
the reason behind them so you can eliminate some of the extra reads.
You can do this by locating excluded columns,
aggregation rules that are non-additive, such as those with concatenated count
clauses, selection measures, reports with sub-statements, etc.
● Look out for
external joins: if you find any, locate their origins and find out ways to get
rid of as many as possible (you may have to change the design).
- Assess the execution plan for the root
cause of the performance-related problem: - Follow this tip in case the steps you
took during Oracle database performance tuning didn’t prove sufficient. You may enlist the support
of your DBA for this purpose. These are the 4 main methods to boost
performance in this situation-
● Work on the
data access path by adding indexes to decrease IO volume.
● Lower the IO
volume by decreasing how much data is read. For instance, you may go through
the filters or the architecture of the data model.
●
Raise the
thread quantity for reading larger tables (parallelism).
● Make other changes to boost the IO rate, such as infrastructure modifications, in-memory database, etc.
- Analyze the data model and take the
following measures to decrease the data read volume: -
●
Generate
aggregate tables
●
Use an Oracle query optimizer tool wherever
required.
●
Apply
fragmentation: You might find this example useful- in case users consistently
select data from the current month or year, you can divide the data into two
tables: archive and present. Partitioning is also an option in the case of the
Oracle database.
●
Implement
denormalization. You will be able to lower the join quantity.
●
You can also
decrease column quantity by dividing tables.
To Sum Up
A large number of performance problems occur due to poor design which is why they require Oracle database performance tuning. This is true in the case of Oracle Analytics as well since inadequate design can lead to the creation of sub-par SQL statements.
Making changes to the design will not only optimize the SQL statements created by Oracle Analytics but will also affect the overall performance of the database. This will be because of the more efficient use of resources.
