Flexible Partitioning for Selective Binary Theta-Joins in a Massively Parallel Setting
We propose an ensemble-based partitioning method to improve theta-join execution in massively parallel systems such as MapReduce and Spark.
We propose an ensemble-based partitioning method to improve theta-join execution in massively parallel systems such as MapReduce and Spark.
Note Click the Cite button above to enable visitors to import publication metadata into their reference management software.