Look-Ahead Staging to Decouple Producer-Consumer Jobs
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Solution Overview
Problem
The handshake process between producer and consumer jobs in data transfer introduces long wait times and limits parallel execution, reducing data throughput and requiring synchronization that locks persistent storage.
Innovation Solution
Implementing look-ahead staging (LAS) to decouple producer and consumer jobs by storing data changes in a staging area with sequence identifiers, allowing immediate commitment to persistent storage and independent scaling, and applying filters and projections to reduce data size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the producer job waits for consumer job commitment notification before processing new packages, then data consistency is ensured, but data throughput is reduced due to long wait times
Solution Approach 1:
The system performs preliminary actions by pre-processing and staging data changes in a temporary staging area before final commitment. The producer job can stage multiple data changes in advance with sequence identifiers, allowing the consumer job to process them in the correct order without requiring the producer to wait for each commitment notification. This decoupling enables the producer to continue processing new data changes while the consumer catches up, thereby maintaining data consistency while improving throughput.
2Reliability
If the producer job waits for consumer job commitment notification, then data consistency is maintained, but the number of parallel jobs is limited due to storage locking
Solution Approach 1:
The system segments the data storage into multiple independent regions or partitions. Each job can be assigned to work with specific segments of data in the staging area without requiring locks on the entire storage system. The sequence identifiers ensure that even with segmented storage, data consistency is maintained through proper ordering within each segment. This segmentation allows multiple producer and consumer jobs to execute in parallel on different data segments simultaneously.
3Reliability
If handshake process is implemented between producer and consumer jobs, then data consistency is ensured, but wait time increases reducing overall processing speed
Solution Approach 1:
The system introduces an intermediary staging area that acts as a buffer between the producer job and consumer job. Data changes are first placed in the staging area with sequence identifiers, creating an intermediate state that decouples the producer from the consumer. The consumer can then process data from the staging area without requiring real-time communication or handshaking with the producer. This intermediary mechanism eliminates the need for continuous handshake protocols while maintaining data consistency through sequence-based ordering.
Data Source
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AI summary
Disclosed herein are system, method, and computer program product embodiments for utilizing look-ahead-staging (LAS) to accelerate data extraction from a source system to a target system. An embodiment operates receiving a data change for a data extraction from a producer job at the source system. The embodiment stores the data change in a staging area of a persistent storage together with a respective sequence identifier. The embodiment receives a request for a next package of data changes in the staging area from a consumer job at the target system. The embodiment generates the next package from the staging area. The embodiment transmits the next package to the consumer job. The embodiment receives a commit notification for the next package from the consumer job. The embodiment then removes the data changes in the next package from the staging area in response to receiving the commit notification.