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https://issues.apache.org/jira/browse/BAHIR-144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16259800#comment-16259800
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ASF GitHub Bot commented on BAHIR-144:
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Github user rmetzger commented on the issue:
https://github.com/apache/bahir-flink/pull/22
I think the change is good to be merged.
The tests might be unstable, but maybe that's just a local issue...we will
see.
I think we should then soon add documentation for Siddhi as well.
I'm going to keep the PR open for a few more days in case somebody else
wants to take a look.
> Add Siddhi CEP integration with Flink streaming
> -----------------------------------------------
>
> Key: BAHIR-144
> URL: https://issues.apache.org/jira/browse/BAHIR-144
> Project: Bahir
> Issue Type: New Feature
> Components: Flink Streaming Connectors
> Reporter: Hao Chen
>
> Moved from:
> * https://issues.apache.org/jira/browse/FLINK-4520
> * https://github.com/apache/flink/pull/2487
> 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.**
> # 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`)
> # 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)
> # Example
> ```
> 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();
> ```
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