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Notice that this example represents a point in time one second later in absolute time than the preceding one, but the difference in time zone causes it to appear earlier in a lexicographical sort Converting all times to UTC is important for timestamps that represent absolute times for instance, when used to track peak global request volume for a web service If the timestamp is specifically representing a point in time in a certain time zone, retain the local time along with the appropriate offsetThis would be the case, for example, if the data contains the time of day that subjects are awake during a sleep study However, be aware that all timestamp data, whether local or absolute, can be meaningfully compared only to other timestamps in the same format So, choose a single convention for each SimpleDB attribute name and stick with it This format also makes it possible to represent higher-precision timestamps using fractions of a secondTo include this information, expand the seconds beyond two digits by placing a trailing dot () followed by the fractional digits:

PipedWriter() creates an unconnected pipe writer PipedWriter(PipedReader reader) throws javaioIOException creates

Details can be found in [DS87] or in [GL96]

a piped writer connected to the specified reader The reader may later read any data written to this writer

All query comparisons in SimpleDB are case sensitive and based entirely on the byte value of each UTF-8 characterThis means that the value Jones is not equal to the value jones , because of capitalization More than that, because all the uppercase letters have lower byte values than the set of all lowercase letters, inconsistent capitalization results in a sort order that appears wrong to case-insensitive eyesThe following example shows three names sorted alphabetically using UTF-8:

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Any introductory algorithms text will have many examples of algorithms based on the divide and conquer strategy, most of which can be parallelized with this pattern Some algorithms frequently parallelized with this strategy include the Barnes Hut [BH86] and Fast Multipole [GG90] algorithms used in N body simulations; signal processing algorithms, such as discrete Fourier transforms; algorithms for banded and tridiagonal linear systems, such as those found in the ScaLAPACK package [CD97, Sca]; and algorithms from computational geometry, such as convex hull and nearest neighbor A particularly rich source of problems that use the Divide and Conquer pattern is the FLAME project [GGHvdG01] This is an ambitious project to recast linear algebra problems in recursive algorithms The motivation is twofold First, mathematically, these algorithms are naturally recursive; in fact, most pedagogical discussions of these algorithms are recursive Second, these recursive algorithms have proven to be particularly effective at producing code that is both portable and highly optimized for the cache architectures of modern microprocessors Related Patterns Just because an algorithm is based on a sequential divide and conquer strategy does not mean that it

Methods The PipedWriter class adds the following public method:

In an ascending sort, all lowercase values will appear strictly after all uppercase values This is the lexicographical order for UTF-8 If a case-insensitive query is needed, the solution is to store both the original value and a lowercase counterpart of the value, directing all query comparisons to the lowercase version Here is an example:

must be parallelized with the Divide and Conquer pattern A hallmark of this pattern is the recursive arrangement of the tasks, leading to a varying amount of concurrency and potentially high overheads on machines for which managing the recursion is expensive If the recursive decomposition into sub problems can be reused, however, it might be more effective to do the recursive decomposition, and then use some other pattern (such as the Geometric Decomposition pattern or the Task Parallelism pattern) for the actual computation For example, the first production level molecular dynamics program to use the fast multipole method, PMD [Win95], used the Geometric Decomposition pattern to parallelize the fast multipole algorithm, even though the original fast multipole algorithm used divide and conquer This worked because the multipole computation was carried out many times for each configuration of atoms

attempts to connect to the specified pipe, so that any data written may be read by the reader If the pipe is already connected to another pipe, an IOException will be thrown

4474 StringWriter Class Judging by its name, you might expect that this class allowed for writing to a string This is not technically the case, however A string is of fixed length and is immutable (the contents of a string may not be modified) New strings can be composed, concatenated, and assigned to a variable, but the contents of a string cannot be changed So the question is, how does one write to a string Writing to a string is accomplished by using a StringBuffer The StringBuffer class is similar to a string, but may be modified When the modifications are complete, the StringBuffer can be converted back to a string This is how the StringWriter class works It maintains a string buffer, and provides a method to access the buffer contents or to convert to a string Constructors

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