Different data types define equality and inequality differently. The following table explains the foundations for how the data types are compared.
Data Type | How Evaluated |
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Numeric | Algebraically, with negatives considered to be smaller irrespective of their absolute value. |
Byte | Bit-by-bit from left to right. A 0 bit is less than a 1 bit.
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Character | Character-by-character from left to right. Exact comparisons depend on the collation sequence assigned and whether the comparison is case specific or case blind. The available collations are:
If every pairwise comparison is equal, then the two character strings are equal. If any pairwise comparison is not equal, then that comparison determines the result. |
DateTime | Chronologically. For information on how Time Zone affects Time comparison, see Time Zone Sort Order. |
Interval | According to sign and magnitude. |
Period | Assuming p1 and p2 are Period expressions or derived periods, the evaluation of a Period comparison predicate uses the following logic: IF BEGIN(p1) = BEGIN(p2) is TRUE, return END(p1) operator END(p2) ELSE return (BEGIN(p1) operator BEGIN(p2)) For details on BEGIN and END, see Period Functions and Operators. |
UDT | According to the ordering definition of the UDT. Vantage generates ordering functionality for distinct UDTs where the source types are not LOBs. Structured/Distinct/Variant UDTs are only supported on the Block File System on the primary cluster. They are not available for the Object File System.
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