Calling BatchPutAttributes in Java

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Calling BatchPutAttributes
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The simplest import solution is to loop through your data rows and call BatchPutAttributes with bundles of 25 itemsThis solution is simple to write, but making the calls sequentially in a single thread is not going to be the fastest solution Nevertheless, don t be fooled by the myriad of considerations presented here; the simple solution could still be your best option Consider the development time for some of the advanced options and weigh that against the time that a simpler solution could be chugging away at the import Unless you have reuse in mind, spending two development days to achieve an eight-hour import time savings may be a bad trade It might be difficult to know how long it will take to work the multi-threaded kinks out of your tool, but you can figure out pretty quickly the rate at which the simple solution can insert items
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Mapping the Import File to SimpleDB Attributes
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If you are writing an import tool, you likely have a file that you want to importYou need a way to specify which fields in the import file should be included or excludedYou also need a way to designate which field to use as the item name, or that one should be generated The last chapter established the need to apply formatting to certain types of attributes that will be in queries Consistency is required in the application of that formatting, and this begins with the initial import Having a way to specify which format to apply to each
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Importing Data with BatchPutAttributes
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field is part of the mapping For instance, integers may need padding or offsetting, and floats may need only formatting for parts of searches Multiple columns or single columns with delimited values may need to be placed into multi-valued attributes At its simplest, mapping data can be just a list of field names and types and even then only for fields that need special handling It might be easy to put this type of project-specific mapping information directly into your tool s source code, but this is the type of thing that frequently needs tweaking, and allowing the mapping to change separately from the source code will go a long way toward making the tool reusable
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Supporting Multiple File Formats
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Many different data export file formats are in common useThe list of popular file formats includes delimited flat files, JSON, and XMLAlthough you may only have one that you need to support right now, separating the code that processes that format can leave a nice space to hook in other formats later A key concern is the backup format you will use for your production domains If the formats are compatible, your import tool can become your restore tool One way to handle this is to use a base format for imports that is very SimpleDB-centric with formatting and multi-valued attribute support already in place, without the need for mapping Support for other file formats can then be added later by creating a single new conversion utility for the target format This approach has the benefit of allowing you to support only the file formats that you actually need and enabling you to verify the full result of the mapping and formatting before you begin to upload dataThis verification would be additional code to write, but if you opt to write it, it would be useful as part of a backup file verification process in the future
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Storing the Mapping Data
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You have a few options when it comes to how to store the mapping between the import file and SimpleDB attributes It could just be parameters to the import tool stored in a script or you could make a separate file format for it In more complex cases, having a separate file capable of representing relationships (like XML or JSON) can be valuable These complex cases include times where data is bound for different domains, different regions, and even different accounts In this scenario, you may need a way to store a hierarchy of parameters in your mapping configurationThis might include cases where separate accounts are used to support various deployment scenarios like development, testing, staging, and production
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