Account
Sign in to you account
Sign In Sign Up

How to Get Max From Oracle Database?

3 minutes read

To get the most out of an Oracle database, it is important to optimize its performance by following best practices. This includes properly configuring the database parameters, indexing frequently queried columns, using efficient SQL queries, regular database maintenance, and monitoring system performance. Additionally, utilizing features such as Advanced Compression, partitioning, and in-memory caching can also help improve the performance of an Oracle database. By implementing these strategies and continuously tuning the database, you can maximize the efficiency and effectiveness of your Oracle database.


What is the Oracle Automatic Database Diagnostic Monitor (ADDM)?

The Oracle Automatic Database Diagnostic Monitor (ADDM) is a feature in the Oracle Database that automatically analyzes performance data in the database and provides recommendations for improving database performance. ADDM identifies performance bottlenecks, inefficient SQL statements, and other issues affecting database performance. It helps database administrators proactively address performance problems and optimize the overall performance of the database.


How to monitor and manage database locks in Oracle for improved performance?

Here are some strategies and best practices for monitoring and managing database locks in Oracle for improved performance:

  1. Regularly monitor and analyze lock wait events: Use Oracle's Dynamic Performance Views (DPV) such as V$LOCK, V$LOCKED_OBJECT, and V$SESSION to identify locking issues and analyze the root cause of lock contention.
  2. Use Automatic Workload Repository (AWR) reports: Gather and analyze AWR reports to identify top SQL statements causing lock contention and take necessary actions to optimize SQL queries and reduce lock waits.
  3. Implement row-level locking: Use row-level locking instead of table-level locking whenever possible to reduce contention and improve concurrency in the database.
  4. Set proper transaction isolation levels: Use appropriate transaction isolation levels such as READ COMMITTED or SERIALIZABLE to ensure data consistency and reduce the likelihood of lock conflicts.
  5. Avoid long-running transactions: Minimize the duration of transactions to reduce lock contention and improve overall database performance.
  6. Use locking hints: Utilize locking hints such as NOWAIT or SKIP LOCKED in SQL queries to avoid waiting for locks and improve concurrency.
  7. Implement database partitioning: Use database partitioning to distribute data across multiple partitions and reduce lock contention on heavily accessed tables.
  8. Monitor and tune the database configuration: Regularly review and tune database parameters such as MAX_LOCKS, LOCKS_SGA, and ENQUEUE_RESOURCES to optimize lock management and improve performance.
  9. Use Oracle Real Application Clusters (RAC): Implement Oracle RAC to distribute workload across multiple nodes and reduce lock contention on shared resources.
  10. Collaborate with application developers: Work closely with application developers to optimize SQL queries, minimize locking conflicts, and improve overall database performance.


How to implement caching in Oracle database for faster queries?

To implement caching in Oracle database for faster queries, you can follow these steps:

  1. Use Oracle Database In-Memory option: Oracle Database In-Memory option allows you to store frequently accessed data in memory, providing faster access to the data and faster query performance. This can be configured at the table level using the INMEMORY attribute.
  2. Enable query result caching: Oracle Database has a query result cache that stores the results of frequently executed queries in memory, reducing the need to execute the same query multiple times. You can enable query result caching at the session or system level using the RESULT_CACHE_MODE initialization parameter.
  3. Use materialized views: Materialized views store the results of a query in a table, allowing for faster access to the data. By creating materialized views for frequently used queries, you can improve query performance and reduce the need to execute the query against the base tables every time.
  4. Use caching tools: Oracle provides caching tools such as Oracle Data Grid and Oracle Coherence that allow you to cache data in memory across multiple servers, providing fast access to the data and improving query performance.
  5. Use Oracle Advanced Queuing (AQ) for caching: Oracle Advanced Queuing (AQ) allows you to store messages in a queue, providing a reliable and high-performance way to cache data. By storing frequently accessed data in AQ queues, you can improve query performance by reducing the need to access the data from the database every time.


By implementing caching in Oracle database using these methods, you can improve query performance, reduce database load, and provide faster access to frequently accessed data.

Facebook Twitter LinkedIn Telegram Whatsapp

Related Posts:

How to Get Min And Max Value From A Group Array In Groovy?
In Groovy, you can easily get the minimum and maximum values from a group array using the min() and max() methods.To get the minimum value from a group array, you can simply call the min() method on the array. This will return the smallest element in the array...
How to Connect to Oracle Db From .Net?
To connect to an Oracle database from a .NET application, you can use the Oracle Data Provider for .NET (ODP.NET). To do this, you need to install the ODP.NET client on your development machine and reference the Oracle.DataAccess.dll in your project. Then, you...
How to Get Data From Oracle Database In Hourly Basis?
To get data from an Oracle database on an hourly basis, you can use various methods such as creating a scheduled job or using a script that runs periodically. One common approach is to use Oracle Scheduler to schedule a job that executes a query to extract the...
How to Import File Into Oracle Table?
To import a file into an Oracle table, you can use the Oracle SQLLoader utility. SQLLoader is a command-line tool provided by Oracle that allows you to load data from external files into Oracle tables. First, create a control file that specifies the format of ...
How to Get Summary Of Pivot Rows In Oracle?
To get a summary of pivot rows in Oracle, you can use the GROUP BY clause along with aggregate functions such as COUNT, SUM, AVG, MIN, MAX, etc. to summarize the data in the pivot rows. This allows you to calculate aggregated values for specific groups of data...