大家好,我是老羊,今天我们来学习 Flink SQL 中的集合相关操作。
集合操作支持 Batch\Streaming 任务。
union
Flink SQL> create view t1(s) as values ('c'), ('a'), ('b'), ('b'), ('c');
Flink SQL> create view t2(s) as values ('d'), ('e'), ('a'), ('b'), ('b');
Flink SQL> (SELECT s FROM t1) UNION (SELECT s FROM t2);
+---+
| s|
+---+
| c|
| a|
| b|
| d|
| e|
+---+
Flink SQL> (SELECT s FROM t1) UNION ALL (SELECT s FROM t2);
+---+
| c|
+---+
| c|
| a|
| b|
| b|
| c|
| d|
| e|
| a|
| b|
| b|
+---+
Flink SQL> create view t1(s) as values ('c'), ('a'), ('b'), ('b'), ('c');
Flink SQL> create view t2(s) as values ('d'), ('e'), ('a'), ('b'), ('b');
Flink SQL> (SELECT s FROM t1) INTERSECT (SELECT s FROM t2);
+---+
| s|
+---+
| a|
| b|
+---+
Flink SQL> (SELECT s FROM t1) INTERSECT ALL (SELECT s FROM t2);
+---+
| s|
+---+
| a|
| b|
| b|
+---+
Flink SQL> (SELECT s FROM t1) EXCEPT (SELECT s FROM t2);
+---+
| s |
+---+
| c |
+---+
Flink SQL> (SELECT s FROM t1) EXCEPT ALL (SELECT s FROM t2);
+---+
| s |
+---+
| c |
| c |
+---+
上述 SQL 在流式任务中,如果一条左流数据先来了,没有从右流集合数据中找到对应的数据时会直接输出,当右流对应数据后续来了之后,会下发回撤流将之前的数据給撤回。这也是一个回撤流。
SELECT user, amount
FROM Orders
WHERE product IN (
SELECT product FROM NewProducts
)
上述 SQL 的 In 子句其实就和之前介绍到的 Inner Join 类似。并且 In 子查询也会涉及到大状态问题,大家注意设置 State 的 TTL。