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https://issues.apache.org/jira/browse/FLINK-4520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15485230#comment-15485230
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ASF GitHub Bot commented on FLINK-4520:
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Github user mushketyk commented on the issue:
https://github.com/apache/flink/pull/2487
Hi @haoch,
I think it would be beneficial if you write a few words describing your
design or add more JavaDocs. This would make the review process more
straightforward.
> Integrate Siddhi as a lightweight CEP Library
> ---------------------------------------------
>
> Key: FLINK-4520
> URL: https://issues.apache.org/jira/browse/FLINK-4520
> Project: Flink
> Issue Type: New Feature
> Components: CEP
> Affects Versions: 1.2.0
> Reporter: Hao Chen
> Labels: cep, library, patch-available
> Fix For: 1.2.0
>
>
> h1. flink-siddhi proposal
> h2. Abstraction
> Siddhi CEP is a lightweight and easy-to-use Open Source Complex Event
> Processing Engine (CEP) released as a Java Library under `Apache Software
> License v2.0`. Siddhi CEP processes events which are generated by various
> event sources, analyses them and notifies appropriate complex events
> according to the user specified queries.
> It would be very helpful for flink users (especially streaming application
> developer) to provide a library to run Siddhi CEP query directly in Flink
> streaming application.
> * http://wso2.com/products/complex-event-processor/
> * https://github.com/wso2/siddhi
> h2. Features
> * Integrate Siddhi CEP as an stream operator (i.e.
> `TupleStreamSiddhiOperator`), supporting rich CEP features like
> * Filter
> * Join
> * Aggregation
> * Group by
> * Having
> * Window
> * Conditions and Expressions
> * Pattern processing
> * Sequence processing
> * Event Tables
> ...
> * Provide easy-to-use Siddhi CEP API to integrate Flink DataStream API (See
> `SiddhiCEP` and `SiddhiStream`)
> * Register Flink DataStream associating native type information with
> Siddhi Stream Schema, supporting POJO,Tuple, Primitive Type, etc.
> * Connect with single or multiple Flink DataStreams with Siddhi CEP
> Execution Plan
> * Return output stream as DataStream with type intelligently inferred
> from Siddhi Stream Schema
> * Integrate siddhi runtime state management with Flink state (See
> `AbstractSiddhiOperator`)
> * Support siddhi plugin management to extend CEP functions. (See
> `SiddhiCEP#registerExtension`)
> h2. Test Cases
> * org.apache.flink.contrib.siddhi.SiddhiCEPITCase:
> https://github.com/haoch/flink/blob/FLINK-4520/flink-contrib/flink-siddhi/src/test/java/org/apache/flink/contrib/siddhi/SiddhiCEPITCase.java
> h2. Example
> {code}
> StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
> SiddhiCEP cep = SiddhiCEP.getSiddhiEnvironment(env);
> cep.registerExtension("custom:plus",CustomPlusFunctionExtension.class);
> cep.registerStream("inputStream1", input1, "id", "name",
> "price","timestamp");
> cep.registerStream("inputStream2", input2, "id", "name",
> "price","timestamp");
> DataStream<Tuple5<Integer,String,Integer,String,Double>> output = cep
> .from("inputStream1").union("inputStream2")
> .sql(
> "from every s1 = inputStream1[id == 2] "
> + " -> s2 = inputStream2[id == 3] "
> + "select s1.id as id_1, s1.name as name_1, s2.id as id_2, s2.name as
> name_2 , custom:plus(s1.price,s2.price) as price"
> + "insert into outputStream"
> )
> .returns("outputStream");
> env.execute();
> {code}
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