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Another common use of the LIMIT clause is to display search results one page at a time Setting the LIMIT to the size of the page lets you fetch the exact number of results required for a single page In this case, storing the NextToken will enable you to fetch the next page more conveniently in response to a future request It is true that a query LIMIT is always in effect, whether default or specified, but there are three cases where the Select call returns early without reaching the LIMITThe first case is when the number of items matching the query is smaller than the LIMIT valueYou will know this has occurred when the search response does not contain a NextTokenThe lack of a NextToken always signals that the full set of matching items has been returned The other two cases where Select returns before the LIMIT is reached involve other service limits that take precedenceTo maintain quality of service, SimpleDB enforces a per-request restriction on the size of the response it is willing to send, and on the length of time it is willing to spend If the response size grows to 1MB or takes 5 seconds, the call will return immediately with the results thus far, if any, and a NextToken Consequently, when you use a LIMIT clause to retrieve a specific number of items, you must check for the presence of a NextToken and the number of items in the response to determine if you need to issue another call to fetch the outstanding results
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All attribute values in SimpleDB are stored as raw character stringsThis eliminates the work and deployment headaches of rolling out cluster-wide schema changes However, the lack of a robust set of data types has serious implications for data formatting and queries The issue with string data, with regard to queries, is the way comparisons are performed, alphabetically from left to right For instance, the following two names sort correctly, even though they are different lengths:
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Each character is compared in turn; this is a standard string comparison in all programming languages and databases However, numbers and dates do not fare as well with lexicographical comparisons:
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156 89
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A left-to-right comparison wrongly places 156 as less than 89 after looking at only the first character because 1 comes before 8The problem, of course, is that the decimal places need to be aligned, and left padding with zeros solves this problem:
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This task is normally handled by a type system, which defines an exact length for each numeric type Because SimpleDB has no type system, it remains an issue for the applica-
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4 A Closer Look at Select
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tion developer to handle Unfortunately, there is more to deal with than length and alignment
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The standard way to store integers is in a binary format using from 1 to 8 bytes depending on the maximum value that must be handled Standard binary formats are not an option in SimpleDB where all data is stored as text It is possible to define ad-hoc formats for individual attributes as you go, and this can be tempting especially when representing quantities like years where no additional formatting or padding is necessary However, a more general approach is to use formats compatible with standard integer sizes The two most commonly used integer sizes in programming languages are 32-bit ints and 64-bit longsWhen represented as text without thousands separators, these integers take 10 and 19 characters to represent Using zeros to pad all integers to a length of either 10 or 19 characters allows SimpleDB querying to avoid decimal misalignment for all same length comparisons Here is an example of a large and a small 32-bit integer padded to 10 characters:
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2147483647 0000001010
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Mere padding works perfectly well for positive integers, but it does not solve the sorting problem for negative numbersWith negative numbers, a higher number represents a lower valueThe number -5 is numerically less than -1, which is exactly backward from lexicographical orderThe solution is to add an offset value to every number before you zero-pad and store itThe offset must be large enough to push all possible values out of the negativeThe lowest possible value for a 32-bit integer is -2147483648, so the smallest possible offset is 2147483648The smallest 64-bit offset is 9223372036854775808 Using the minimum offset, the examples of large and small 32-bit integers become the following:
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4294967295 2147484658
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This minimum offset approach is now fully functional for integer queries when combined with padding One unfortunate side effect of using this format is that the resulting numbers bear no resemblance to the original values It could be argued that this is a storage format and that it, like a binary format, does not need to be readableThat argument carries weight, if you have the type information and the tools to automatically format all your numeric data and rewrite your application queries into this format If you do not have the tools, manual offsetting becomes necessary in order to transform the base query you intend:
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SELECT * FROM vendors WHERE `year-to-date-billing` > '25000'
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into the offset and padded query that is required:
SELECT * FROM vendors WHERE `year-to-date-billing` > '2147508648'