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In looking at the query, notice that there are only three specific attributes being requestedThis query matches up with the data stored in the prior BatchPutAttributes code sample Four items were stored in the products domainThis query only requests the items with a rating greater than 85 and only two at a time Because three of the four items meet these criteria and the limit per page is two, the first Select will come back with two items and a NextToken allowing retrieval of the final match A loop is used when calling selectItems() to handle an unknown number of pages The result is printed for each iteration, and the fresh NextToken is attached to the requestThe existing request is reused with the same SelectExpression still attached When no token comes back, the loop falls through Also, notice that the query calls for results to be sorted by rating, from high to low When you run this sample code, look to see that all the ratings are greater than 85 and that they are sorted

About the Domain Name System (DNS) and domain name suffixes (such as com) About the structure of an IP address and the various classes of IP addresses About the InetAddress class and its various methods

The group of tasks to find the "bonded forces" (vibrational forces and rotational forces) on each atom The group of tasks to find the nonbonded forces on each atom The group of tasks to update the position and velocity of each atom The task to update the neighbor list for all the atoms (which trivially constitutes a task group)

Select Snippet in C#

Section 41 Overview Section 42 How Streams Work Section 43 Filter Streams Section 44 Readers and Writers Section 45 Object Persistence and Object Serialization Section 46 Summary

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The data sharing in this problem can be complicated We summarize the data shared between groups in Fig 35 The major shared data items are the following

Communication over networks, with files, and even between applications, is represented in Java by streams Stream-based communication is central to almost any type of Java application The concept of streams is especially important when dealing with networking applications Almost all network communication (except UDP communication) is conducted over streams, so it is essential that programmers be familiar with this concept Readers with previous input/output (I/O) stream experience may choose to skim through this section, but will likely benefit from a revised look at the topic, as changes to streams were introduced in JDK11 to deal with text-based reading and writing A thorough knowledge of I/O streams is critical for almost any type of Java programmer, and is required for an understanding of the later chapters of this book In addition, since so much of network communication involves the transmission of text, knowledge of the new text readers and writers is also necessary

This is the C# version of the single-page query code:

The atomic coordinates, used by each group These coordinates are treated as read only data by the bonded force group, the nonbonded force group, and the neighbor list update group This data is read write for the position update group Fortunately, the position update group executes alone after the other three groups are done (based on the ordering constraints developed using the Order Tasks pattern) Hence, in the first three groups, we can leave accesses to the position data unprotected or even replicate it For the position update group, the position data belongs to the read write category, and access to this data will need to be controlled carefully

Byte-level communication is represented in Java by data streams, which are conduits through which information bytes of data is sent and received A simple analogy is a pipe through which material such as water may be moved from one location to another Provided that the pipe is installed correctly, what goes in one end comes out the other (see Figure 4-1) Figure 4-1 Communication stream sends data from one point to another

AmazonSimpleDB simpleDB = new AmazonSimpleDBClient(id, secret); SelectRequest request = new SelectRequest(); try { requestSelectExpression = "SELECT * FROM users"; printSelectResults(simpleDBSelect(request)SelectResult); } catch (AmazonSimpleDBException ex) { String code = exErrorCode; String message = exMessage; ConsoleWriteLine("select failed: {0}: {1}", code, message); } private void printSelectResults(SelectResult result) { foreach (Item item in resultItem) { ConsoleWriteLine(itemName); foreach (Attr attr in itemAttribute) { ConsoleWriteLine("\t{0}", attrValue); } }

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