Package org.apache.flink.contrib.siddhi

Features

See: Description

Class Summary

Class	Description
SiddhiCEP	Siddhi CEP Environment, provides utility methods to Initialize SiddhiCEP environment based on StreamExecutionEnvironment Register SiddhiStream with field-based StreamSchema and bind with physical source DataStream Define rich-featured Siddhi CEP execution plan with SQL-Like query for SiddhiStreamOperator Transform and connect source DataStream to SiddhiStreamOperator Register customizable siddhi plugins to extend built-in CEP functions
SiddhiStream	Siddhi CEP Stream API
SiddhiStream.ExecutableStream	ExecutableStream context to define execution logic, i.e.
SiddhiStream.ExecutionSiddhiStream
SiddhiStream.SingleSiddhiStream<T>	Initial Single Siddhi Stream Context
SiddhiStream.UnionSiddhiStream<T>

Package org.apache.flink.contrib.siddhi Description

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`)

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<Tuple4<Integer,String,Integer,String>> output = cep
        .from("inputStream1").union("inputStream2")
        .cql(
                "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 "
                 + "insert into outputStream"
        )
        .returns("outputStream");

 env.execute();
 

See Also:

https://github.com/wso2/siddhi