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API: the lack of support for all the data access patterns you d like to use (for example, reliance on transactions) Moreover, many of the operations that are present have limitations in place that may not be suitable for the way you want to use the service It comes as no surprise that the most common SimpleDB questions from developers revolve around how to lift or work around the AWS-imposed limitations SimpleDB does not make a suitable data store for every application For some situations, there is just no practical way to make SimpleDB do what you can do with a relational database However, some creative workarounds exist for those situations where only a few issues are standing in the wayThis type of information is important for the practical user of SimpleDB but can be hard to find, if it is available at allThis chapter details a number of practical strategies for working around the SimpleDB service limitations The approach of this chapter is to suggest specific strategies but not specific implementation Examples are given that include queries and pseudocode, but not in a cookbook styleThe spartan set of API calls in SimpleDB serve as primitive building blocks Each suggestion needs to be applied differently depending on the application, the programming language, and the deployment environment Consider these suggestions as a springboard for your own application design However, before you consider implementing a workaround for something in SimpleDB, you should have a good understanding of why things are the way they areThere is a difference between working around the system and subverting the system Examine the reasoning behind the SimpleDB qualities and claims so that you can avoid unnecessary frustration

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The Finding Concurrency and Algorithm Structure design spaces focus on algorithm expression At some point, however, algorithms must be translated into programs The patterns in the Supporting Structures design space address that phase of the parallel program design process, representing an intermediate stage between the problem oriented patterns of the Algorithm Structure design space and the specific programming mechanisms described in the Implementation Mechanisms design space We call these patterns Supporting Structures because they describe software constructions or "structures" that support the expression of parallel algorithms An overview of this design space and its place in the pattern language is shown in Fig 51

static void setSocketImplFactory (SocketImplFactory factory) throws javanetSocketException, javaioIOException java langSecurityException assigns a socket implementation factory for the JVM,

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which may already exist, or may violate security restrictions, either of which causes an exception to be thrown Only one factory can be specified, and this factory will be used whenever a socket is created void setSoLinger(boolean onFlag, int duration) throws javanetSocketException javalangIllegalArgumentException

The two groups of patterns in this space are those that represent program structuring approaches and those that represent commonly used shared data structures These patterns are briefly described in the next section In some programming environments, some of these patterns are so well supported that there is little work for the programmer We nevertheless document them as patterns for two reasons: First, understanding the low level details behind these structures is important for effectively using them Second, describing these structures as patterns provides guidance for programmers who might need to implement them from scratch The final section of this chapter describes structures that were not deemed important enough, for various reasons, to warrant a dedicated pattern, but which deserve mention for completeness 511 Program Structuring Patterns Patterns in this first group describe approaches for structuring source code These patterns include the following

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Perhaps the biggest claim made about SimpleDB is that it provides high availabilityAvailability is an important reason to use SimpleDB, and some consistency and speed is traded off to get it

enables or disables the SO_LINGER socket option (according to the value of the onFlag boolean parameter), and specifies a duration in seconds If a negative value is specified, an exception is thrown void setSoTimeout(int duration) throws javanetSocketException modifies the value of the SO_TIMEOUT socket option, which controls how long (in milliseconds) a read operation will block A value of zero disables timeouts, and blocks indefinitely If a timeout does occur, a javaioIOInterruptedException is thrown whenever a read operation occurs on the socket's input stream This is distinct from the internal TCP timer, which triggers a resend of unacknowledged datagram packets (see Section 6111 on error control) void setTcpNoDelay(boolean onFlag) throws javanetSocketException enables or disables the TCP_NODELAY socket option, which determines whether Nagle's algorithm is used void shutdownInput() throws javaioIOException closes the input stream associated with this socket and discards any further information that is sent Further reads to the input stream will encounter the end of the stream marker void shutdownOutput() throws javaioIOException closes the output stream associated with this socket Any data previously written, but not yet sent, will be flushed, followed by a TCP connection-termination sequence, which notifies the application that no more data will be available (and in the case of a Java application, that the end of the stream has been reached) Further writes to the socket will cause an IOException to be thrown

program (Single Program) in parallel, but each has its own set of data (Multiple Data) Different UEs can follow different paths through the program In the source code, the logic to control this is expressed using a parameter that uniquely labels each UE (for example a process ID)

model SimpleDB can be used as part of the prototyping process, enabling you to evolve your schema dynamically as issues surface that may not otherwise have become known so quicklyYou may be migrating from a different database with an existing data modelThe important thing to remember is that SimpleDB is simple by design It can be useful in a variety of situations and does not prevent you from creating your own schema external to SimpleDB

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