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Xinwang Bank leverages Apache DolphinScheduler to handle over 9,000 daily task instances across real‑time, near‑real‑time, and offline batch scenarios, detailing background, application scenarios, optimizations, workflow improvements, import/export enhancements, alert system upgrades, and future plans to expand data‑ops capabilities.
This presentation details the background, redesign, and migration of a large‑scale data platform at Dangbei Network Technology, focusing on the adoption of Apache DolphinScheduler, ClickHouse migration, storage and compute separation, monitoring solutions, and the roadmap for future upgrades and open‑source involvement.
This article introduces the Apache DolphinScheduler 2.x RESTful API endpoints for workflow definitions, task definitions, and workflow‑task relations, provides detailed parameter tables, and includes Java code examples for token‑based API calls and creating workflows via both direct and multi‑step approaches.