Working Beyond the Boundaries in Java

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5 If the new text has fewer chunks, create blank values to overwrite the old chunks that need to be cleared 6 Call PutAttributes with the new attribute values, setting the replace flag to true for each 6a If you are willing to make the comparisons, you can exclude unchanged attributes 7 Optionally, call DeleteAttributes for the now-blank chunks The extra step specific to storing extra text is to count the chunks and pass the empty string as a new value for each of the abandoned overflow attributesYou might be tempted to just delete the empty attributes and not overwrite them first with an empty value However, performing the update in one step is the only way to get atomicity If you do not do it in one step, you will have an item with bad data until consistency is reached During a failure, you could have bad data for an extended period By performing it in one step, the item will always have good data: either the old text or the new text
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Storing Overflow as a Multi-Valued Attribute
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Another option is to use a multi-valued attribute to store all the text For example, if you have 100k of text, you might have an attribute named Body with 100 separate values The benefit of this approach is that you retain the ability to write queries that target the attribute, such as the following:
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SELECT * FROM posts WHERE Body LIKE '%turbine%'
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One of the drawbacks of this approach, however, comes from the fact that there is no guaranteed ordering of multi-valued attributesTherefore, you have to insert some sort of modifier into each text chunk to indicate order Although you would not split text this short, it illustrates the issue If you have the text I went to the market last Thursday and split it into three parts of a multi-valued attribute named Body, SimpleDB might respond to your GetAttributes, or you Select with the following:
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Body: ["the market", "I went to ", " last Thursday"]
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Unless you insert some ordering, you will not be able to reconstruct the original text:
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Body: ["02:the market", "01:I went to ", "03: last Thursday"]
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Inserting attribute-ordering information into the text value takes up some extra space, but it opens up the possibility of doing text searches on the attribute, which is not there when overflowing text to different attributes
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Entities with More than 256 Attributes
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Another of the common limits that users try to work around is the 256-attributes-peritem limit In reality, this limit is not as strict as the other limitsThere is some subtlety to the way it is implemented; it was designed with flexibility and speed as higher priorities than enforcement The complicating issue is that PutAttributes serves the role of both inserting and updating data Calls to PutAttributes that include the replace flag could actually result in an item with fewer values rather than moreA na ve enforcement of this limit would reject calls to PutAttributes based only on the existing attribute count and the number of attributes in the request However, that implementation would reject many valid requests that merely replace existing values This could be handled in two other ways One way would be for SimpleDB to fully apply the updates in each PutAttributes request to the item and then examine the results before deciding if the call should be rejectedA much less computationally intensive technique would be to relax the limit by only enforcing it on items already past the limit The latter approach is the way SimpleDB is implemented PutAttributes calls are rejected when the item already has 256 or more attribute valuesThis allows the successful replacement of all 255 attributes that may exist in an item by calling PutAttributes with 255 new values and the replace flags set to true One negative side effect of this enforcement mechanism is that for all practical purposes, the limit is 255 and not 256As soon as you have 256 attributes in an item, additional calls to PutAttributes are blocked, even though you have not exceeded the limit and even if you are trying to replace a valueYou must first delete at least one attribute value before you can make the replacementTherefore, 255 is the limit of attribute values you can store and still update the item with put calls Alternately, a different consequence of this implementation assists those seeking to exceed this limit Because you can only get the resulting NumberItemAttributesExceeded error when the item is already full, you can easily exceed the limit by inserting the initial 255 attributes and then adding an additional 256 attributesThus, you easily can store 511 attributes in any item You must be aware, however, that these overstuffed items have limited usefulness, since you can never update the values without first deleting most of themAlso, although SimpleDB has worked this way since it entered public beta, there is no guarantee that it will always work this way; use it at your own risk Even if you do overstuff your items, this type of hack is only applicable for data that will be primarily read only
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