Transforms don't execute until the consumer pulls. There's no eager evaluation, no hidden buffering. Data flows on-demand from source, through transforms, to the consumer. If you stop iterating, processing stops.
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提效降本:从 T+1 到实时,构建统一数据湖
平台支持全量数据迁移与增量同步,基于 Flink CDC 实现低延迟实时入湖。同时自动完成 DDL 转换、表结构映射与元数据同步,并内置数据校验机制,确保数据完整性与一致性,满足企业级合规要求。