<commit_before>/*
 *  Copyright (c) 2012-2013 DataTorrent, Inc.
 *  All Rights Reserved.
 */
package com.datatorrent.stram.stream;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.datatorrent.stram.engine.DefaultReservoir;
import com.datatorrent.stram.engine.Stream;
import com.datatorrent.stram.engine.StreamContext;
import com.datatorrent.stram.engine.SweepableReservoir;

/**
 *
 * @author <NAME> <<EMAIL>>
 */
/**
 *
 * Inline streams are used for performance enhancement when both the operators are in the same hadoop container<p>
 * <br>
 * Inline is a hint that the stram can choose to ignore. Stram may also convert a normal stream into an inline one
 * for performance reasons. A stream tagged with persist flag will not be inlined, as persistence requires a buffer
 * server<br>
 * Inline streams currently cannot be partitioned. Since the main reason for partitioning
 * is to load balance and that means across different hadoop containers. In future we may take a look at it.<br>
 * <br>
 *<commit_msg>remove incorrect comments.<commit_after>/*
 *  Copyright (c) 2012-2013 DataTorrent, Inc.
 *  All Rights Reserved.
 */
package com.datatorrent.stram.stream;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.datatorrent.stram.engine.DefaultReservoir;
import com.datatorrent.stram.engine.Stream;
import com.datatorrent.stram.engine.StreamContext;
import com.datatorrent.stram.engine.SweepableReservoir;

/**
 *
 * When data exchange is needed between 2 operators deployed in the same container, they are connected using a
 * blocking queue; The implementation of such a blocking queue is InlineStream.<br />
 *
 * @author <NAME> <<EMAIL>>
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