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The processed intermediate results are key-value pairs.
ZDB distributes key-value pairs in clusters using consistent hash.
Then, the mapping procedure will generate intermediate key-value pairs.
The Map function receives records from the input files as key-value pairs and produces intermediate key-value pairs.
The mapper is applied to each input key-value pair to generate an arbitrary number of intermediate key-value pairs.
Declarative knowledge is represented as the analytical case that constitutes attribute-value pairs.
Association rules have been widely used for detecting relations between attribute-value pairs of categorical datasets.
Super columns are key-value pairs, where the values are columns.
In the map phase, the input key-value pairs are processed individually by a map function and produce a second set of intermediate key-value pairs.
Writing 100 million key-value pairs with variable value size in four threads.
Writing 100 million key-value pairs with variable value size in one thread.
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