Dynamic Stream Allocation for Database Restoration
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Solution Overview
Problem
Current data restoration processes are inefficient and time-consuming, as they typically use the same number of streams as during backup operations, which can lead to slow and costly access to backup databases.
Innovation Solution
The system dynamically allocates streams during data restoration based on the total amount of data and previous backup operations, creating groups of files with similar data amounts and allocating streams to these groups for efficient restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the same number of streams used during backup operations is used during restoration, then the restoration process is simple to implement, but the restoration speed and efficiency are slow
Solution Approach 1:
The patent implements dynamic stream allocation during restoration by adjusting the number of streams based on the total data size being restored. The system calculates an optimal stream count proportional to the data volume and dynamically configures the restoration process to use this calculated number of streams, thereby optimizing restoration speed without requiring manual intervention or complex fixed configurations.
Solution Approach 2:
The system changes the stream allocation parameter during restoration based on the data size. By computing the total size of files to be restored and applying a proportional formula, the system dynamically adjusts the stream count parameter to match the workload, improving restoration efficiency while maintaining simple implementation through automated calculation.
2Productivity
If more streams are allocated during restoration, then the restoration efficiency improves, but the system resource consumption increases
Solution Approach 1:
The system dynamically adjusts the stream allocation parameter based on the actual data size being restored. By calculating the optimal stream count as a proportion of total data volume, the system ensures that resources are allocated efficiently - using more streams for larger restorations and fewer streams for smaller restorations, thereby improving overall productivity while avoiding unnecessary resource consumption.
Solution Approach 2:
The restoration process dynamically adapts stream allocation to match the workload requirements. Rather than using a fixed high number of streams that would always consume maximum resources, the system dynamically calculates and applies an appropriate stream count based on the specific restoration task, optimizing the balance between productivity and resource usage.
Data Source
AI summary
The systems and methods described herein dynamically allocate streams when restoring data from databases. In some embodiments, the system and methods restore data from a database by determining a number of streams to allocate to the database for restoring files of data from the database. The determined number of streams may be based on a total amount of data within the database, and/or may be based, at least in part, on the previous number of streams used during backup operations, in order to balance the benefit of allocating streams to a restoration of data with any detriments associated with changing the number of streams from the number used during previous backup operations.