登录查看更多内容

Last updated on 2024年7月31日

You're faced with balancing system performance and data accuracy. How do you ensure both are optimized?

由人工智能和领英社区提供技术支持

As a database administrator, you're often tasked with the delicate balance of maintaining system performance while ensuring data accuracy. This challenge can be daunting, as both elements are crucial for the smooth operation of any business that relies on data-driven decisions. In the quest to optimize both, it's important to remember that each decision you make will impact the overall health of your database systems. With the right strategies and a bit of finesse, you can achieve an equilibrium that serves your organization's needs effectively.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

Phùng Vi?t D?ng

? .NET Developer | Database Developer | Database Administrator
Ignace Neuman

Oracle Database Administrator

1 Index Tuning

Index tuning is a critical part of database optimization. Properly indexed data can dramatically improve query performance by allowing the database engine to locate information more efficiently. However, over-indexing can lead to unnecessary data redundancy and maintenance overhead, which can degrade performance. You need to identify the most frequently run queries and analyze their execution plans. Then, create indexes that serve these queries without overburdening the system. Regularly review and adjust your indexing strategy as the data and query patterns evolve to maintain optimal performance and accuracy.

添加您的观点

Phùng Vi?t D?ng

? .NET Developer | Database Developer | Database Administrator
举报内容
In my experiences, a database with too many unused indexes will affect performance. Deleting unused indexes will free up memory and speed up the data retrieval process. This needs to be checked regularly and continuously by the DBA.

已翻译

赞

2 Query Optimization

Query optimization is all about writing efficient SQL queries that can reduce the load on your database. This involves understanding how to structure queries to retrieve data without taxing the system unnecessarily. You should focus on selecting only the needed columns rather than using SELECT * , which can slow down performance by retrieving more data than required. Additionally, ensure that WHERE clauses are sargable—meaning they can take advantage of indexes. This will help maintain the balance between performance and accuracy by fetching precise data quickly.

添加您的观点

3 Data Archiving

Data archiving is a process that helps manage data growth and maintain system performance. By moving historical data that is not frequently accessed to a separate storage area, you keep the most relevant data in the primary database, which can be queried more efficiently. Archiving doesn't mean losing data; it's about organizing it in a way that maintains accuracy while optimizing performance. Establishing policies for regular archiving ensures that your database doesn't become bloated, which can slow down query response times and affect overall system health.

添加您的观点

4 Regular Maintenance

Regular maintenance is essential to keep a database running smoothly. This includes tasks like updating statistics , rebuilding indexes, and checking for data integrity issues. By scheduling these tasks during off-peak hours, you minimize the impact on system performance while ensuring that the data remains accurate and reliable. It's also important to monitor disk space and memory usage to prevent bottlenecks that can degrade performance. Proactive maintenance is key; waiting until problems arise can lead to a scramble that might compromise data accuracy or system responsiveness.

添加您的观点

5 Backup Strategies

Backup strategies are a fundamental aspect of database administration that impacts both performance and data accuracy. Implementing a robust backup plan ensures that you can restore data to an accurate state in case of corruption or loss. It's crucial to choose a backup schedule that aligns with your organization's data recovery objectives without placing too much strain on system resources. For instance, full backups might be necessary but can be resource-intensive, so combining them with differential or transaction log backups can optimize performance.

添加您的观点

Phùng Vi?t D?ng

? .NET Developer | Database Developer | Database Administrator
举报内容
Backup strategy is an important strategy in database management. A good backup plan is one that can use the latest data, and minimize downtime. Backup time is also important, so choose night time, when there are few users and it does not affect system performance.

已翻译

赞

6 Capacity Planning

Capacity planning is about anticipating future system requirements to ensure that your database can handle growth without compromising performance or data accuracy. This involves analyzing trends in data volume and usage to predict scaling needs. You should consider not only the storage capacity but also computing resources like CPU and memory. By planning for capacity needs in advance, you can avoid the pitfalls of reactive scaling, which can lead to performance bottlenecks or rushed migrations that might jeopardize data accuracy.

添加您的观点

Phùng Vi?t D?ng

? .NET Developer | Database Developer | Database Administrator
举报内容
Planning for infrastructure expansion depends on the size of the database. The faster the data growth rate, the faster the infrastructure expansion rate. Infrastructure must always be ahead of database growth rate.

已翻译

赞

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Ignace Neuman

Oracle Database Administrator
举报内容
Change history. Get reliable experiences from end users and try to figure out if a change in hardware, software or architecture of client (cloud) might be an issue in performance/stability issues.

已翻译

赞
Kifayat Khan

Resident Vice President | Lead DBA |Oracle Apps DBA|Database Management Expert
举报内容
To balance system performance and data accuracy, focus on strategic indexing, appropriate normalization, and denormalization where needed. Implement data integrity constraints, utilize partitioning, and optimize queries to enhance performance. Regular database maintenance, robust monitoring, and effective caching are crucial. Test changes thoroughly and manage concurrency to ensure consistency. Regularly adjust strategies based on evolving needs and workloads for optimal results.

已翻译

赞

Database Administration

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

You're faced with balancing system performance and data accuracy. How do you ensure both are optimized?

1

2

3

4

5

6

7

1 Index Tuning

2 Query Optimization

3 Data Archiving

4 Regular Maintenance

5 Backup Strategies

6 Capacity Planning

7 Here’s what else to consider

Database Administration

给文章评分

感谢您的反馈

更多Database Administration相关文章

更多相关阅读内容

You're faced with balancing system performance and data accuracy. How do you ensure both are optimized?

1

2

3

4

5

6

7

1 Index Tuning

2 Query Optimization

3 Data Archiving

4 Regular Maintenance

5 Backup Strategies

6 Capacity Planning

7 Here’s what else to consider

Database Administration

给文章评分

感谢您的反馈

查看其他技能