Managing Large Object (LOB) segments in Oracle databases can be a nuanced task, especially when it comes to Securefile LOBs. If you've ever wondered how to tweak the retention settings for these segments, you're in the right place. This post will guide you through the process with clarity.
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Sunday, 10 December 2023
Sunday, 12 November 2023
Debunking 10 Myths about Database Administrators! 🔥
Database administrators (DBAs) play a critical and often underappreciated role in the world of information technology.
Sunday, 5 November 2023
SQL Patches: Enhancing SQL Performance with Hints
A Case Study: Oracle Database vs. PostgreSQL
Considering the best database management system for your organization? Let's explore the key differences between Oracle Database and PostgreSQL, two powerful contenders in the database landscape.
Saturday, 4 November 2023
Enhancing Cloud Security with Oracle Cloud Infrastructure: A Comprehensive Guide
As organizations continue to migrate to the cloud, ensuring robust security measures becomes paramount. Oracle Cloud Infrastructure (OCI) delivers a comprehensive suite of security services to address every aspect of cloud security, from user access to threat intelligence. Here’s an overview of OCI's key security features, shuffled to highlight their unique benefits:
Sunday, 8 October 2023
Facts: Native vs pglogical Logical Replication in PostgreSQL
Here are some of the facts about Native vs pglogical Logical Replication in PostgreSQL
Saturday, 30 September 2023
Agile is NOT FAST….
Agile is a widely adopted and highly effective approach to software development and project management in the IT environment. It has gained popularity for several reasons, and its principles and practices have proven to be beneficial for many organizations.
Tuesday, 5 September 2023
Trace performance issues in PostgreSQL using the pg_stat_statements
👉 The pg_stat_statements view is a PostgreSQL extension that provides information about the execution statistics of all SQL statements that have been executed by the PostgreSQL server.
Sunday, 18 June 2023
Resolving "User has no SELECT privilege on V$SESSION" Error in Oracle
Thursday, 25 May 2023
Harnessing tfactl for Diagnostic Data Collection
Sunday, 9 April 2023
Transforming SQL*Plus Output into HTML and Emailing It: A Step-by-Step Guide
Wednesday, 22 February 2023
Ensuring Data Integrity with Oracle 21c Data Pump Checksum
Saturday, 28 January 2023
A DBA's Guide to Managing large size Databases
- Spread your data files across multiple physical disks or storage devices to harness the magic of parallel I/O operations and ward off pesky I/O bottlenecks.
- Keep a watchful eye on disk space usage and plan for ample storage capacity to accommodate the ever-growing data size. After all, a happy DBA is a well-prepared DBA!
- Embrace the magic of backup compression to shrink backup sizes and speed up the restoration process.
- Regularly put your restore process to the test, ensuring a happy ending even in the face of adversity.
- Analyze the backup failures via alerting and ensure repetitive alerts are addressed.
- Enjoy the benefits of better data distribution, enhanced query performance, and simplified maintenance operations.
- Select a partitioning strategy tailored to your data's unique characteristics and query patterns – because one size does not fit all in the land of databases.
- Consider performing these tasks during off-peak hours to keep production systems humming along happily.
- Explore the wonders of filtered indexes to hone in on the relevant data subset, shrinking index size and boosting query performance.
- Regularly tend to your index statistics to keep query optimization in top-notch condition.
- Enable compression for your hefty tables and indexes, especially those facing read-intensive workloads.
- Strike the perfect balance between storage savings and CPU overhead to find your compression sweet spot.
- Embark on a quest through query plans, vanquishing performance bottlenecks with strategies like indexing, query rewriting, and partition elimination.
- Make merry with features like columnstore indexes and in-memory OLTP to supercharge your queries when the need arises.
- Track key performance indicators like disk I/O, CPU utilization, and query execution times, making adjustments as needed.
- Optimize server and database configurations based on monitoring insights for a performance paradise.