Select with a Real Limit in Java

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Select with a Real Limit
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Another frequent need is to get the results of a query that returns a NextToken and loop until the final desired limit is reached, as opposed to intermediate limits during the loop This better serves the user intention of fetching the desired number of results Listing 112 shows the implementation of a method that handles the looping and the limit checking internallyThis method is based on the SimpleDB client developed in the last chapter
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Listing 11-2 SimpleDBjava Additional Convenience Method for Querying with a Limit
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public List<Item> selectWithRealLimit(String select, int limit) { List<Item> result = select(select); while (resultsize() < limit && hasNextPage()) { resultaddAll(getNextPage()); } return result; }
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The method selectWithRealLimit() builds up a list of matching items by calling the query in a loop until the query returns all matching items or the limit is reachedThe final collection is then returned
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Custom Metadata and Building a Smarter Client
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The operation built into SimpleDB that reports domain metadata gives you the basic counts and sizes required to see how close a domain is to the limitsThere are limits on the number of attributes and bytes a single domain can hold
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11 Improving the SimpleDB Client
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This metadata is a description of the domain that represents the key information from the perspective of account billing and database administrationThere is additional information, however, that is important to the application, which is usually stored in configuration files It can be convenient to use a configuration file for an application running on a single machine However, the more machines in a deployment, the more of a task it becomes to distribute these filesAutomation works well, but for applications using SimpleDB, there is another option There are trade-offs when you choose to use a database service instead of a database product One of the benefits of this service, in particular, is the high availability and the fact that it always runs on a well-known hostTreating the configuration like a combination of database metadata and application metadata with storage directly in SimpleDB becomes a viable option Obviously, you cannot store the entire configuration in SimpleDB because the application at a minimum needs the database credentials Nevertheless, it may be possible to keep the remainder of the configuration in the database Maintaining a single authoritative copy of the configuration not only makes it easy to administer; it also allows changes to propagate quickly and acts as an enabler for dynamic application features
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Justifying a Schema for Numeric Data
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SimpleDB does not have a schema feature However, if you store and query numeric data, special formatting is requiredThat format has to be stored in at least two locations: in the code that calls the format encoder/decoder at the right time, and in the queries The well-understood problem with storing information twice is that neglecting to make the change to all copies causes things to breakAnother problem with the number formatting is that all queries written by hand must have any constants written in the target formatThe format is most certainly not human readable A big step forward is the elimination of handwritten queries in favor of prepared statement style queries Implementing this requires you to write code that manipulates the query string, building it from parameters Passing parameters into a query is more convenient and less error prone It also opens the door to other advanced features that require query string rewriting One example is query execution in an environment of domain sharding; each query must be sent to each domain At some point, it becomes necessary to extract the type information about those numbers to a single location Persistence frameworks commonly use a configuration file or source code annotationsWherever it is stored, having a simple, declarative means to define types is convenient Whether it is declared formally or not, the schema types for numbers exist if you query them Because you already have a schema, you might as well make it explicit and get the benefits of tooling
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