Stream SQL Join

Enhanced Open Source Feature: Stream SQL Join

Flink's Table API&SQL is an integrated query API for Scala and Java that allows the composition of queries from relational operators such as selection, filter, and join in an intuitive way.

Introduction to Stream SQL Join

SQL Join is used to query data based on the relationship between columns in two or more tables. Flink Stream SQL Join allows you to join two streaming tables and query results from them. Queries similar to the following are supported:

SELECT o.proctime, o.productId, o.orderId, s.proctime AS shipTime 
FROM Orders AS o 
JOIN Shipments AS s 
ON o.orderId = s.orderId 
AND o.proctime BETWEEN s.proctime AND s.proctime + INTERVAL '1' HOUR;

Currently, Stream SQL Join needs to be performed within a specified window. The join operation for data within the window requires at least one equi-join predicate and a join condition that bounds the time on both sides. Such a condition can be defined by two appropriate range predicates (<, <=, >=, >), a BETWEEN predicate, or a single equality predicate that compares the same type of time attributes (such as processing time or event time) of both input tables.

The following example 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.orderId AND
o.ordertime BETWEEN s.shiptime - INTERVAL '4' HOUR AND s.shiptime

1. Stream SQL Join supports only inner join.
2. The ON clause should include an equal join condition.
3. Time attributes support only the processing time and event time.
4. The window condition supports only the bounded time range, for example, o.proctime BETWEEN s.proctime - INTERVAL '1' HOUR AND s.proctime + INTERVAL '1' HOUR. The unbounded range such as o. proctime > s.proctime is not supported. The proctime attribute of two streams must be included. o.proctime BETWEEN proctime () AND proctime () + 1 is not supported.