In this study, we thus propose a simple but efficient approach for Big recursive joins based on reducing by half the number of the required iterations in the Spark environment. This improvement leads to significantly reducing the number of the required tasks as well as the amount of the intermediate data generated and transferred over the network. Our experimental results show that an improved recursive join is more efficient and faster than a traditional one on large-scale datasets. |
