I've identified instances where the same information is being stored multiple times within different records. This wastes storage space and can lead to inconsistencies.
问题描述
推荐解决方案
最相关的解决方案
10 个解决方案Connection Management
Ensure applications properly close database connections when they are no longer needed.
Connection Pool Tuning
Adjust the maximum number of connections in the application's database connection pool to an appropriate level.
Resource Throttling
Configure background processes to use a limited amount of system resources to avoid impacting live operations.
Schedule Optimization
Reschedule maintenance, backups, and batch jobs to off-peak hours.
Load Balancing and Caching
Implement application-level caching or load balancing to distribute requests and reduce direct database pressure.
Application Code Review
Identify and refactor inefficient queries or code patterns that cause excessive database load.
Resource Scaling
Increase the CPU, RAM, or storage capacity of the database server or consider a more powerful instance type.
Performance Tuning
Optimize slow queries, add appropriate indexes, and tune database configuration parameters for better resource utilization.
Consider Index Types
Explore different index types (e.g., B-tree, hash, full-text) based on the nature of the queries and data.
Implement Covering Indexes
Create indexes that include all columns needed by a query to avoid table lookups.
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常见问题
与此问题及其解决方案相关的常见问题。
What is the typical duration of these unexpected downtimes?
Which database system are you using?
What is the approximate latency you are experiencing between data generation and its availability for decision-making?
What are the primary symptoms of inefficient data retrieval you are observing?
What is the approximate size of the dataset being migrated?
What type of data is being duplicated?
What specific areas of the application or database are experiencing the most significant performance degradation?
How frequently are your database backups performed?
What is the primary goal of the reports you are trying to generate?
What is your current database technology?
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已识别原因
Lack of Normalization in Database Design
75%The database schema may not be properly normalized, leading to the repetition of data that could be stored in separate, related tables.
Inefficient Data Entry Processes
60%Manual data entry or poorly designed input forms can lead to users re-entering the same information without realizing it's already present.
Data Integration Issues
50%When data is merged from multiple sources, without proper de-duplication logic, the same information can be imported multiple times.
Application Logic Errors
40%Bugs or design flaws in the application code might be causing data to be written multiple times to the database.
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