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Posted to issues@flink.apache.org by "Hao Chen (JIRA)" <ji...@apache.org> on 2016/09/09 18:58:20 UTC
[jira] [Updated] (FLINK-4520) Integrate Siddhi as a lightweight CEP
Library
[ https://issues.apache.org/jira/browse/FLINK-4520?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hao Chen updated FLINK-4520:
----------------------------
Description:
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}
was:
h1. Flink Siddhi CEP Integration Proposal
h2. About Siddhi CEP
Siddhi CEP is a lightweight, 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.
* http://wso2.com/products/complex-event-processor/
* https://github.com/wso2/siddhi
h2. Proposal
As known, siddhi is very lightweight and rich featured CEP library, supporting most traditional CEP cases like:
* Filter
* Join
* Aggregation
* Group by
* Having
* Window
* Conditions and Expressions
* Pattern processing
* Sequence processing
* Event Tables
* Partitions
* Scripting:Support JavaScript & Scala Scripts within Siddhi Queries
* Query: SQL like query language
The proposal is to
* Embed siddhi CEP as an stream operator of Flink
* Support native siddhi query, extensions to run inside Flink StreamExecutionEnvironment
* Integrate state management.
* Provide consistent DSL to integrate with Flink programing API.
> 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
>
> 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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