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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (APEXMALHAR-1963) Add abstract operator for Async Processing
Date Fri, 15 Jan 2016 17:45:40 GMT

    [ https://issues.apache.org/jira/browse/APEXMALHAR-1963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15102166#comment-15102166
] 

ASF GitHub Bot commented on APEXMALHAR-1963:
--------------------------------------------

Github user gauravgopi123 commented on a diff in the pull request:

    https://github.com/apache/incubator-apex-malhar/pull/157#discussion_r49882090
  
    --- Diff: library/src/main/java/com/datatorrent/lib/async/AbstractAsyncProcessor.java
---
    @@ -0,0 +1,344 @@
    +/**
    + * 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.lib.async;
    +
    +import java.util.Iterator;
    +import java.util.Queue;
    +import java.util.concurrent.ExecutorService;
    +import java.util.concurrent.Executors;
    +import java.util.concurrent.Future;
    +import javax.validation.constraints.Min;
    +
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +import com.google.common.collect.Lists;
    +
    +import com.datatorrent.api.Context;
    +import com.datatorrent.api.Operator.IdleTimeHandler;
    +import com.datatorrent.common.util.BaseOperator;
    +
    +
    +/**
    + * This base operator can be used to enqueue tuples for asynchronous and parallel processing
by separate worker threads.
    + *
    + * User can configure number of threads required for async processing. By default
    + * threads will be created on need basis with no upper limit. These worker threads, spawned
by operator thread,
    + * can also be configured to processing timeout.
    + *
    + * <b>Workflow is as follows:</b>
    + * <ol>
    + *   <li>Implementing class can enqueue the tuples of type QUEUETUPLE using <i>enqueueTupleForProcessing</i>
    + *       method.</li>
    + *   <li>When a tuple gets its turn for execution, <i>processTupleAsync</i>
gets called
    + *       by worker thread. This is asynchronous call</li>
    + *   <li>Based on maintainTupleOrder parameter, the results are consolidated at
the end of every window and respective
    + *       call to <i>handleProcessedTuple</i> will be made. This callback
is in operator thread.</li>
    + * </ol>
    + *
    + *
    + * <b>Use case examples:</b>
    + * <ul>
    + *   <li>Parallel reads from external datastore/database system.</li>
    + *   <li>Operations which are long running tasks per tuple but DAG i/o should not
be blocked.</li>
    + * </ul>
    + *
    + * @param <QUEUETUPLE> input type of tuple
    + * @param <RESULTTUPLE> Result of async processing of tuple.
    + */
    +public abstract class AbstractAsyncProcessor<QUEUETUPLE, RESULTTUPLE> extends BaseOperator
implements IdleTimeHandler
    +{
    +  private static final Logger logger = LoggerFactory.getLogger(AbstractAsyncProcessor.class);
    +
    +  /**
    +   * This is an executor service which holds thread pool and enqueues task for processing.
    +   */
    +  private transient ExecutorService executor;
    +
    +  /**
    +   * Number of worker threads for processing
    +   * 0   - Threads will be created as per need.
    --- End diff --
    
    I don't think creating threads on need basis is good idea.. You need to have control on
the number of threads


> Add abstract operator for Async Processing
> ------------------------------------------
>
>                 Key: APEXMALHAR-1963
>                 URL: https://issues.apache.org/jira/browse/APEXMALHAR-1963
>             Project: Apache Apex Malhar
>          Issue Type: New Feature
>    Affects Versions: 3.3.0
>            Reporter: Chinmay Kolhatkar
>            Assignee: Chinmay Kolhatkar
>
> Create an abstract operator which does following:
> 1) Asynchronously processes the tuples
> 2) Have parallel executions
> 3) Make sure the outbound tuples are ordered similar to inbound tuples if configured.
> 4) Have processing timeout.



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