Optimizing Data Lineage Extraction Using Spline REST API
This article discusses the practical implementation of extracting table and field lineage information via the Spline REST API, analyzing API call frequency, server load tolerance, and the strategy of re-parsing lineage only when job versions change to optimize performance.
Based on the Spline REST API, this article explores the practical implementation of retrieving table and field lineage information. During actual deployment, each job triggers a relatively high number of API calls, yet the overall load remains well within the server's capacity. Following the initial launch, the first lineage parsing involves dense API requests. Subsequently, the system only re-parses lineage when job versions are modified, effectively balancing data accuracy with computational efficiency.
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