数据湖与 Delta Lake ACID 表实践建表与写入(Spark SQL)CREATE TABLE events USING delta LOCATION '/data/events'; INSERT INTO events VALUES (1, 'login'); 合并与更新MERGE INTO events AS t USING updates AS s ON t.id = s.id WHEN MATCHED THEN UPDATE SET t.action = s.action WHEN NOT MATCHED THEN INSERT (id, action) VALUES (s.id, s.action); 时间旅行与审计DESCRIBE HISTORY events; SELECT * FROM events VERSION AS OF 3; 清理VACUUM events RETAIN 168 HOURS; 总结Delta Lake 为数据湖引入事务与审计能力,在批流一体场景下提升数据一致性与治理水平。

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