数据湖与 Delta Lake ACID 表实践

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。