Multi-Table Merge Operations Using Single Source Scan
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Solution Overview
Problem
In data warehouse environments, performing multiple merge operations across large or complex source data structures is resource-intensive due to the need for successive scans of the source data structure, leading to significant computational resource consumption.
Innovation Solution
A method that allows for multiple merge operations to be performed using only a single scan of the source data structure, where the source data is combined with multiple destination data structures, and subsequent merge operations are facilitated by augmenting the source data stream with changes from previous operations, enabling concurrent execution of merge operations through a pipeline mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple successive scans of the source data structure are performed for each merge operation, then data integrity and accuracy are maintained, but computational resource consumption and processing time increase significantly
Solution Approach 1:
The patent creates a copy of the source data structure after the first scan, allowing subsequent merge operations to use this copied data without requiring additional scans of the original source. This copying mechanism preserves data integrity while eliminating redundant scanning operations that consume computational resources.
Solution Approach 2:
The patent performs a preliminary scan of the source data structure to load data into memory or a temporary structure before subsequent merge operations. This preliminary action prepares the data in advance, allowing multiple merge operations to proceed without repeatedly scanning the original source, thus maintaining data accuracy while reducing computational overhead.
2Manufacturing precision
If multiple successive scans of the source data structure are performed for each merge operation, then accurate data merging is achieved, but processing time and operational complexity increase
Solution Approach 1:
By creating a copy of the source data after the initial scan, the patent enables subsequent merge operations to work with this copied data, ensuring accurate data merging without requiring time-consuming repeated scans of the original source structure.
Solution Approach 2:
The patent maintains continuous processing by loading source data into memory during the first scan and keeping it available for subsequent merge operations. This continuity eliminates idle time between scans and allows multiple merge operations to proceed sequentially without interruption or repeated access to the original source.
3Reliability
If multiple successive scans of the source data structure are performed, then complete data coverage is ensured, but device complexity and operational overhead increase
Solution Approach 1:
The patent reduces operational complexity by creating a single copy of the source data that can be reused across multiple merge operations. This eliminates the need for complex coordination of multiple scans and reduces the operational overhead associated with repeatedly accessing and scanning the original source data structure.
Data Source
AI summary
A method for performing multiple merge operations with a source data structure and a plurality of destination data structures, in which the source data structure is scanned one time in order to obtain source data that is then used for multiple merge operations. The source data is then used consecutively in order to merge the source data into the one or more destination data structures. Each merge is performed using the same scan of the source data structure and within the same execution of a database command.