Flink基础（125）：FLINK-SQL语法 (19) DQL(11) OPERATIONS(8) Joins(2) Interval Joins

0 简介

Returns a simple Cartesian product restricted by the join condition and a time constraint. An interval join requires at least one equi-join predicate and a join condition that bounds the time on both sides. Two appropriate range predicates can define such a condition (<, <=, >=, >), a BETWEEN predicate, or a single equality predicate that compares time attributes of the same type (i.e., processing time or event time) of both input tables.

1 使用

For example, this query will join all orders with their corresponding shipments if the order was shipped four hours after the order was received.

SELECT *
FROM Orders o, Shipments s
WHERE o.id = s.order_id
AND o.order_time BETWEEN s.ship_time - INTERVAL ‘4‘ HOUR AND s.ship_time

The following predicates are examples of valid interval join conditions:

ltime = rtime
ltime >= rtime AND ltime < rtime + INTERVAL ‘10‘ MINUTE
ltime BETWEEN rtime - INTERVAL ‘10‘ SECOND AND rtime + INTERVAL ‘5‘ SECOND

For streaming queries, compared to the regular join, interval join only supports append-only tables with time attributes. Since time attributes are quasi-monotonic increasing, Flink can remove old values from its state without affecting the correctness of the result.

2 说明

　　相对于 regular join，interval Join 则利用窗口的给两个输入表设定一个 Join 的时间界限，超出时间范围的数据则对 join 不可见并可以被清理掉，这样就能修正 regular join 因为没有剔除数据策略带来 join 结果的误差以及需要大量的资源。但是使用interval join，需要定义好时间属性字段，可以是计算发生的 Processing Time，也可以是根据数据本身提取的 Event Time；如果是定义的是 Processing Time，则Flink 框架本身根据系统划分的时间窗口定时清理数据；如果定义的是 Event Time，Flink 框架分配 Event Time 窗口并根据设置的 watermark 来清理数据。而在前面的数据准备中，我们根据点击流和曝光流提取实践时间属性字段，并且设置了允许 5 分钟乱序的 watermark。目前 Interval join 已经支持 inner ,left outer, right outer , full outer 等类型的 join。因此，interval join 只需要缓存时间边界内的数据，存储空间占用小，计算更为准确的实时 join 结果。

• 使用语法

--写法1
SELECT columns
FROM t1  [AS <alias1>]
[LEFT/INNER/FULL OUTER] JOIN t2
ON t1.column1 = t2.key-name1 AND t1.timestamp BETWEEN t2.timestamp  AND  BETWEEN t2.timestamp + + INTERVAL ‘10‘ MINUTE;

--写法2
SELECT columns
FROM t1  [AS <alias1>]
[LEFT/INNER/FULL OUTER] JOIN t2
ON t1.column1 = t2.key-name1 AND t2.timestamp <= t1.timestamp and t1.timestamp <=  t2.timestamp + + INTERVAL ’10‘ MINUTE ;

如何设置边界条件

right.timestamp ∈ [left.timestamp + lowerBound, left.timestamp + upperBound]

• 使用场景：双流join场景

Flink基础（125）：FLINK-SQL语法 (19) DQL(11) OPERATIONS(8) Joins(2) Interval Joins

原文：https://www.cnblogs.com/qiu-hua/p/15195661.html