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    <p>As stated on this <a href="http://java67.blogspot.in/2012/09/what-is-copyonwritearraylist-in-java-example-vs-arraylist.html" rel="noreferrer">link</a>:</p> <p><a href="http://docs.oracle.com/javase/7/docs/api/java/util/concurrent/CopyOnWriteArrayList.html" rel="noreferrer">CopyOnWriteArrayList</a> is a concurrent Collection class introduced in Java 5 Concurrency API along with its popular cousin ConcurrentHashMap in Java. </p> <p>CopyOnWriteArrayList implements List interface like ArrayList, Vector and LinkedList but its a thread-safe collection and it achieves its thread-safety in a slightly different way than Vector or other thread-safe collection class.</p> <blockquote> <p>As name suggest CopyOnWriteArrayList creates copy of underlying ArrayList with every mutation operation e.g. add or set. Normally CopyOnWriteArrayList is very expensive because it involves costly Array copy with every write operation but <strong>its very efficient if you have a List where Iteration outnumber mutation</strong> e.g. you mostly need to iterate the ArrayList and don't modify it too often.</p> <p><strong>Iterator of CopyOnWriteArrayList is fail-safe and doesn't throw ConcurrentModificationException</strong> even if underlying CopyOnWriteArrayList is modified once Iteration begins because Iterator is operating on separate copy of ArrayList. Consequently all the updates made on CopyOnWriteArrayList is not available to Iterator.</p> </blockquote> <p>To get the most updated version do a new read like <code>list.iterator();</code></p> <p>That being said, updating this collection alot will kill performance. If you tried to sort a CopyOnWriteArrayList you'll see the list throws an UsupportedOperationException (the sort invokes set on the collection N times). You should only use this read when you are doing upwards of 90+% reads.</p>
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Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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