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Date: Wed, 3 Aug 2016 09:53:20 +0000 (UTC)
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Subject: [jira] [Commented] (APEXMALHAR-2100) Development of Inner Join
 Operator using Spillable Datastructures
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archived-at: Wed, 03 Aug 2016 09:53:31 -0000


    [ https://issues.apache.org/jira/browse/APEXMALHAR-2100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15405647#comment-15405647 ] 

ASF GitHub Bot commented on APEXMALHAR-2100:
--------------------------------------------

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

    https://github.com/apache/apex-malhar/pull/330#discussion_r73310472
  
    --- Diff: library/src/main/java/com/datatorrent/lib/join/POJOInnerJoinOperator.java ---
    @@ -0,0 +1,247 @@
    +/**
    + * 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.join;
    +
    +import java.lang.reflect.Array;
    +import java.util.HashMap;
    +import java.util.Map;
    +
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +import org.apache.commons.lang3.ClassUtils;
    +
    +import com.datatorrent.api.Context;
    +import com.datatorrent.api.DefaultInputPort;
    +import com.datatorrent.api.DefaultOutputPort;
    +import com.datatorrent.api.Operator;
    +import com.datatorrent.api.StreamCodec;
    +import com.datatorrent.api.annotation.InputPortFieldAnnotation;
    +import com.datatorrent.api.annotation.OutputPortFieldAnnotation;
    +import com.datatorrent.lib.util.PojoUtils;
    +
    +/**
    + * Concrete implementation of AbstractManagedStateInnerJoinOperator and receives objects from both streams.
    + *
    + * @displayName POJO Inner Join Operator
    + * @tags join
    + */
    +public class POJOInnerJoinOperator extends AbstractManagedStateInnerJoinOperator<Object,Object> implements Operator.ActivationListener<Context>
    +{
    +  private static final transient Logger LOG = LoggerFactory.getLogger(POJOInnerJoinOperator.class);
    +  private transient long timeIncrement;
    +  private transient FieldObjectMap[] inputFieldObjects = (FieldObjectMap[])Array.newInstance(FieldObjectMap.class, 2);
    +  protected Class<?> outputClass;
    +  private long time = System.currentTimeMillis();
    +
    +  @OutputPortFieldAnnotation(schemaRequired = true)
    +  public final transient DefaultOutputPort<Object> outputPort = new DefaultOutputPort<Object>()
    +  {
    +    @Override
    +    public void setup(Context.PortContext context)
    +    {
    +      outputClass = context.getValue(Context.PortContext.TUPLE_CLASS);
    +    }
    +  };
    +
    +  @InputPortFieldAnnotation(schemaRequired = true)
    +  public transient DefaultInputPort<Object> input1 = new DefaultInputPort<Object>()
    +  {
    +    @Override
    +    public void setup(Context.PortContext context)
    +    {
    +      inputFieldObjects[0].inputClass = context.getValue(Context.PortContext.TUPLE_CLASS);
    +    }
    +
    +    @Override
    +    public void process(Object tuple)
    +    {
    +      processTuple(tuple,true);
    +    }
    +
    +    @Override
    +    public StreamCodec<Object> getStreamCodec()
    +    {
    +      return getInnerJoinStreamCodec(true);
    +    }
    +  };
    +
    +  @InputPortFieldAnnotation(schemaRequired = true)
    +  public transient DefaultInputPort<Object> input2 = new DefaultInputPort<Object>()
    +  {
    +    @Override
    +    public void setup(Context.PortContext context)
    +    {
    +      inputFieldObjects[1].inputClass = context.getValue(Context.PortContext.TUPLE_CLASS);
    +    }
    +
    +    @Override
    +    public void process(Object tuple)
    +    {
    +      processTuple(tuple,false);
    +    }
    +
    +    @Override
    +    public StreamCodec<Object> getStreamCodec()
    +    {
    +      return getInnerJoinStreamCodec(false);
    +    }
    +  };
    +
    +  @Override
    +  public void setup(Context.OperatorContext context)
    +  {
    +    timeIncrement = context.getValue(Context.OperatorContext.APPLICATION_WINDOW_COUNT) *
    +      context.getValue(Context.DAGContext.STREAMING_WINDOW_SIZE_MILLIS);
    +    super.setup(context);
    +    for (int i = 0; i < 2; i++) {
    +      inputFieldObjects[i] = new FieldObjectMap();
    +    }
    +  }
    +
    +  /**
    +   * Extract the time value from the given tuple
    +   * @param tuple given tuple
    +   * @param isStream1Data Specifies whether the given tuple belongs to stream1 or not.
    +   * @return
    +   */
    +  @Override
    +  public long extractTime(Object tuple, boolean isStream1Data)
    +  {
    +    return timeFields == null ? time : (long)(isStream1Data ? inputFieldObjects[0].timeFieldGet.get(tuple) :
    +          inputFieldObjects[1].timeFieldGet.get(tuple));
    +  }
    +
    +  /**
    +   * Create getters for the key and time fields and setters for the include fields.
    +   */
    +  protected void generateSettersAndGetters()
    +  {
    +    for (int i = 0; i < 2; i++) {
    +      Class inputClass = inputFieldObjects[i].inputClass;
    +      try {
    +        Class c = ClassUtils.primitiveToWrapper(inputClass.getField(keyFields.get(i)).getType());
    --- End diff --
    
    Apologies... Yes you're right.


> Development of Inner Join Operator using Spillable Datastructures
> -----------------------------------------------------------------
>
>                 Key: APEXMALHAR-2100
>                 URL: https://issues.apache.org/jira/browse/APEXMALHAR-2100
>             Project: Apache Apex Malhar
>          Issue Type: Task
>            Reporter: Chaitanya
>            Assignee: Chaitanya
>


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