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/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package com.datatorrent.api;
import com.datatorrent.api.Context.OperatorContext;
import com.datatorrent.api.Context.PortContext;
import com.datatorrent.api.DAG.GenericOperator;
/**
*
* Operator interface.
*
* @since 0.3.2
*/
public interface Operator extends Component, GenericOperator
{
/**
* One can set attribute on an Operator to indicate the mode in which it processes Tuples.
* In AT_LEAST_ONCE mode it's guaranteed that the tuples will be processed at least once. In this mode even though
* some tuples are processed again, the processing itself is idempotent and the output does not reflect double
* processed data. This is the default mode.
*
* In AT_MOST_ONCE mode in case of failure, the operator will start with the tuples which are being sent at the time
* the failed operator is recovered. Unlike AT_LEAST_ONCE operator, it will not try to recover the tuples which
* may have arrived while operator was down. Typically you would want to mark operators AT_MOST_ONCE if it does not
* materially impact your computation if a few tuples are omitted from the computation and the expected throughput is
* most likely to consume all the resources available for the operator or the DAG.
*
* In EXACTLY_ONCE mode, it will be guaranteed that once a streaming window is processed
* completely, none of the tuples in that window will be processed again.
*
*/
enum ProcessingMode
{
AT_LEAST_ONCE("AT_LEAST_ONCE"),
AT_MOST_ONCE("AT_MOST_ONCE"),
EXACTLY_ONCE("EXACTLY_ONCE");
private final String mode;
private ProcessingMode(String mode)
{
this.mode = mode;
}
public boolean equalsName(String othermode)
{
return othermode == null ? false : mode.equals(othermode);
}
@Override
public String toString()
{
return mode;
}
}
/**
* This method gets called at the beginning of each window.
*
* @param windowId identifier for the window that is unique for this run of the application.
*/
void beginWindow(long windowId);
/**
* This method gets called at the end of each window.
*/
void endWindow();
/**
* If the Operator can be partitioned, then Unifier is used to merge
* the tuples from the output ports from all the partitioned instances.
* Unifier are the operators which do not have any input ports defined
* and exactly one output port defined which emits the tuple of the
* type identical as the type emitted by the output port which is being
* unified.
*
* @param Type of the tuple emitted by the output port which is being unified
*/
interface Unifier extends Operator
{
void process(T tuple);
}
/**
* DelayOperator is an operator of which the outgoing streaming window id is incremented by *one* by the
* engine, thus allowing loops in the "DAG". The output ports of a DelayOperator, if connected, *must*
* immediately connect to an upstream operator in the data flow path. Note that at least one output port of
* DelayOperator should be connected in order for the DelayOperator to serve its purpose.
*
* This is meant for iterative algorithms in the topology. A larger window increment can be simulated by an
* implementation of this interface.
*/
interface DelayOperator extends Operator
{
/**
* This method gets called at the first window of the execution.
* The implementation is expected to emit tuples for initialization and/or
* recovery.
*/
void firstWindow();
}
/**
* A operator provides ports as a means to consume and produce data tuples.
* Concrete ports implement derived interfaces.
*/
@SuppressWarnings("MarkerInterface")
interface Port extends Component
{
}
/**
* Input ports process data delivered through a stream. The execution engine
* will call the port's associated sink to pass the tuples. Ports are declared
* as annotated fields in the operator. The interface should be implemented by a
* non parameterized class to make the type parameter are available at runtime
* for validation.
*
* @param
*/
interface InputPort extends Port
{
/**
* Provide the sink that will process incoming data. Sink would typically be
* the port itself but can also be implemented by the enclosing operator or
* separate class.
*
* @return Sink object to which objects of type T can be dropped for processing.
*/
Sink getSink();
/**
* Informs the port that it is active, i.e. connected to an incoming stream.
*
* @param connected
*/
void setConnected(boolean connected);
/**
* Provide the codec which can be used to serialize or deserialize the data
* that can be received on the port. If there is no specific implementation
* then it can return null, in which case the engine may use a generic codec.
*
* @return codec if special implementation, null otherwise.
*/
StreamCodec getStreamCodec();
}
/**
* Output ports deliver data produced by the operator to a stream, abstracted by
* Sink and injected by the execution engine at deployment time. Ports are
* declared as annotated fields in the operator. The interface should be
* implemented with a bounded type parameter for introspection and validation.
*
* @param
*/
interface OutputPort extends Port
{
/**
* Set the sink for the output port.
* Called by execution engine sink at deployment time.
*
* @param s
*/
void setSink(Sink